What you will get

500+ Hours | 600+ Job Oriented Scenarios |
100% Practical Training | Training Till Job | Certification Guaranteed

Why Radical Technologies

100% Placement Guarantee for the Right Candidate

10+ Years Real Time Experienced Trainers

Learn from Industry Experts, Hands-on labs

Flexible Options: online, instructor-led, self-paced

14+ Years of Industry Recognitions

1 Lakh+ Students Trained

50,000+ Students Placed

Guaranteed 5+ Interview Calls

Top MNCs - Associated with 800+ Recruiters

Free Internship Project & Certification

Monthly Job Fair - Virtual as well as Physica

5000+ Reviews & Ratings

LINUX
Redhat Hat Linux – Basic to Advanced
SA1
SA2
SA3
RHEL 6/7/8/9
Virtualization Type1 & Type2
CCNA Foundation network
SAN/NAS..RAID/LVM storage
Backup Solution
Security – All Types Of Firewall
Scripting – Bash scripting
Automation – Ansible
Servers – SSH/DHCP/DNS/Apache/Nginx/Apache Tomcat/MySQL/NTP/FTP/NFS/Samba/SMTP/Poxy
Migration strategy
Server Hardening
Docker & Kubernetes Basics
AWS comparison with Linux
100+ live on scenario
250 hrs. Hands on training

AWS

AWS – Solution Architect Associate Entire Syllabus 150hrs hands on

100% practical with live projects

Devops Foundation Level
1)Git / GitHub
2)Nagios
3)Docker implementation
4) Kubernetes implementation
5) Ansible
6)Terraform

Other Add-On

Advance storage DAS/SAN/NAS/Object design and implementation

Advance L3 level Networking and Network trouble shooting with end to end VPC design

Advance Security with VPN implementation and 4 type of firewalls

Complete database with real time RDS fail over design

Production grade 3 tier Architecture design on LAMP stack

Multiple real time Projects

500 plus scenario based practical.

100% practical Hands training

One can claim 2yr L2 level experience in CV after completing this class.

Industry Linux syllabus –

Introduction

Covers each topics with Real Time Examples . Covers More than 250+ Real Time Scenarios which is divided into L1 ( Basic ) + L2 ( Intermediate) and L3 ( Advanced ) . Trainer from Real Time Industry .This is completely hands-on training , which covers 90% Practical And 10% Theory .250 Hours of Industry Linux Learning . We give Combo Pack of RHEL 6 , RHEL 7 ,RHEL 8 & RHEL 9 to make sure all the candidate will get at least 5+ Year experience knowledge in Red hat Linux after attending this course. Covers SA1 + SA2 + SA3 topics in Details from the very basic to advanced level . Complete RHCSA and RHCE Exam Preparations. Appear for Red hat Global Certification Exam At any time After the course – No need to wait to get schedule from Red hat . At your convenient time , you can book and appear for exam using our Individual Exam Delivery System called KOALA

Topics Covered :-

Linux syllabus ( SA1 SA2 SA3 Rhel 6/7/8/9)

Virtualization Type1 & Type2

CCNA Foundation network

SAN/NAS..RAID/LVMstorage

Backup… solution

Security…all types of firewall

Scripting.. Bash scripting

Automation… Ansible

Servers..SSH/DHCP/DNS/Apache/Nginx/Apache Tomcat/MySQL/NTP/FTP/NFS/Samba/SMTP/Poxy

Migration strategy

Server Hardening

Docker & Kubernetes Basics

AWS comparison with Linux

100+ live on scenario

250 hrs. Hands on training

Resume preparation

Mock test interview preparation

RHEL 7/8/9

Insert our Current Red hat Linux Syllabus

https://www.radicaltechnologies.co.in/redhat-linux-training-in-pune/linux-rhce-rhel-training-red-hat-in-pune/

After that , Attach below Topics

Virtualization Type1 & Type2

Type 1 Hypervisor (Bare-Metal Hypervisor):

Introduction to virtualization technology
Overview of Type 1 hypervisors
Installation and configuration of Type 1 hypervisors (e.g., VMware ESXi, Microsoft Hyper-V Server)
Managing virtual machines (VMs) using Type 1 hypervisors
Resource allocation and management (CPU, memory, storage) in Type 1 hypervisors
Networking configuration for VMs in Type 1 hypervisor environments
High availability and fault tolerance features
Security considerations and best practices in Type 1 hypervisor deployments
Performance monitoring and optimization techniques
Backup and disaster recovery strategies for virtualized environments
Integration with cloud platforms and management tools
Advanced topics such as virtualization clustering, distributed resource scheduling, and virtual machine migration

Type 2 Hypervisor (Hosted Hypervisor):

Overview of Type 2 hypervisors
Installation and configuration of Type 2 hypervisors (e.g., VMware Workstation, Oracle VirtualBox)
Creating and managing virtual machines (VMs) within Type 2 hypervisor environments
Resource allocation and management (CPU, memory, storage) for VMs in Type 2 hypervisors
Networking configuration for VMs in Type 2 hypervisor environments
Snapshotting and cloning VMs
Integration with host operating systems and applications
Performance considerations and optimization techniques for Type 2 hypervisors
Security features and best practices in Type 2 hypervisor deployments
Backup and recovery strategies for VMs in Type 2 hypervisor environments
Application virtualization and containerization concepts
Use cases and scenarios for Type 2 hypervisors in desktop and development environments

CCNA Foundation network

Introduction to Networking:

Overview of computer networks

Importance and benefits of networking

Evolution of networking technologies

2. Network Models and Protocols:

OSI (Open Systems Interconnection) model

TCP/IP (Transmission Control Protocol/Internet Protocol) model

Comparison between OSI and TCP/IP models

Overview of common networking protocols (e.g., TCP, UDP, IP, ICMP)

3.Network Devices:

Introduction to network devices (e.g., routers, switches, hubs, bridges)

Functions and roles of network devices in a network infrastructure

Overview of network interfaces (e.g., NIC, Ethernet port)

4.Physical Layer:

Introduction to the physical layer of the OSI model

Concepts of data transmission (e.g., modulation, demodulation)

Transmission media (e.g., copper, fiber-optic, wireless)

Ethernet standards and cabling (e.g., twisted pair, fiber-optic)

5. Data Link Layer:

Introduction to the data link layer of the OSI model

MAC (Media Access Control) addresses

LAN technologies (e.g., Ethernet, Wi-Fi)

Switching concepts (e.g., MAC address learning, forwarding, filtering)

6. Network Layer:

Introduction to the network layer of the OSI model

IP addressing (IPv4 and IPv6)

Subnetting and CIDR (Classless Inter-Domain Routing)

Routing concepts (e.g., routing tables, routing algorithms)

7. Transport Layer:

Introduction to the transport layer of the OSI model

TCP and UDP protocols

TCP/IP ports and sockets

Error detection and correction mechanisms

8. Application Layer:

Introduction to the application layer of the OSI model

Common network applications and protocols (e.g., HTTP, DNS, FTP, SMTP)

Client-server architecture and communication

9. Network Security Basics:

Overview of network security threats and vulnerabilities

Basic security concepts (e.g., authentication, encryption, firewalls)

Security best practices for network infrastructure

10. Network Management and Troubleshooting:

Basics of network management (e.g., SNMP, monitoring tools)

Common network issues and troubleshooting techniques

Introduction to network documentation and diagrams

11. Introduction to Wireless Networking:

Overview of wireless networking technologies (e.g., Wi-Fi, Bluetooth)
Wireless standards and protocols
Basics of wireless security and authentication

SAN/NAS/RAID/LVM storage

1. Introduction to Storage Technologies:

Overview of storage concepts and terminology
Importance of storage in IT infrastructure
Evolution of storage technologies

2. Storage Architecture:

Introduction to direct-attached storage (DAS), SAN, and NAS architectures
Comparison of SAN vs. NAS
Benefits and use cases of SAN and NAS solutions

3. Storage Protocols and Standards:

Fibre Channel (FC) protocol
iSCSI (Internet Small Computer System Interface) protocol
NFS (Network File System) protocol
SMB (Server Message Block) protocol
SCSI (Small Computer System Interface) standards

4. SAN Fundamentals:

Components of a SAN (e.g., host bus adapters, switches, storage arrays)
SAN zoning and masking
Fibre Channel over Ethernet (FCoE) and iSCSI SANs

5. NAS Fundamentals:

Components of a NAS (e.g., NAS appliances, NAS servers)
NFS and SMB/CIFS protocols
File-level vs. block-level storage access

6. RAID Technology:

Introduction to RAID levels (e.g., RAID 0, RAID 1, RAID 5, RAID 6)
RAID configurations and implementations
RAID performance and fault tolerance

7. LVM Concepts:

Introduction to Logical Volume Manager (LVM)
Logical volume management concepts (e.g., physical volumes, volume groups, logical volumes)
LVM commands and utilities

8. Storage Provisioning:

Storage provisioning concepts (e.g., thin provisioning, thick provisioning)
Storage allocation and management
LUN (Logical Unit Number) provisioning in SAN environments

9. Storage Management and Administration:

Storage management tasks and responsibilities
Storage management tools and software (e.g., SAN management software, NAS management interfaces)
Performance monitoring and optimization

10. Data Protection and Disaster Recovery:

Backup and recovery strategies for SAN and NAS environments
Disaster recovery planning and implementation
High availability and failover solutions

11. Storage Security:

Storage security threats and vulnerabilities
Security best practices for SAN and NAS environments
Data encryption and access control mechanisms

12. Emerging Storage Technologies:

Introduction to cloud storage and object storage
Software-defined storage (SDS) concepts and implementations
Hyper-converged infrastructure (HCI) and storage virtualization

Backup solution Fundamentals

1. Introduction to Data Backup:

Importance of data backup
Risks and consequences of data loss
Overview of backup strategies and methodologies

2. Backup Fundamentals:

Definition of backup, recovery, and archiving
Backup types: full, incremental, differential
Backup storage media (e.g., tape, disk, cloud)
Backup targets (e.g., local storage, network storage, cloud storage)

3. Backup Technologies:

Overview of backup software solutions
Role of backup agents and clients
Backup scheduling and job management
Backup compression and deduplication

4. Backup Storage Architectures:

Direct-attached storage (DAS) for backups
Network-attached storage (NAS) for backups
Storage area network (SAN) for backups
Cloud storage for backups

5. Backup Methods and Strategies:

Image-based backups vs. file-based backups
Virtual machine (VM) backups
Database backups (e.g., SQL Server, Oracle)
Application-aware backups

6. Backup Policies and Retention:

Development of backup policies and procedures
Data retention policies and legal compliance
Backup rotation schemes (e.g., Grandfather-Father-Son, Tower of Hanoi)
Backup cataloging and indexing

7. Recovery Strategies:

Recovery time objectives (RTO) and recovery point objectives (RPO)
Bare-metal recovery (BMR) and system state recovery
File-level recovery and granular recovery
Disaster recovery planning and testing

8. Backup Security:

Data encryption for backups
Access control and authentication
Backup integrity verification
Backup monitoring and auditing

9. Backup Monitoring and Reporting:

Monitoring backup jobs and performance
Alerting and notifications
Backup reporting and analysis
Backup job history and logs

10. Backup Testing and Validation:

Importance of backup testing
Types of backup tests (e.g., full restore, partial restore, synthetic backup)
Backup validation techniques (e.g., checksum verification, data validation)

11. Backup Best Practices:

Best practices for designing backup solutions
Backup automation and orchestration
Documentation and documentation management
Backup solution evaluation and selection criteria

12. Emerging Backup Technologies:

Cloud-based backup and disaster recovery
Backup as a service (BaaS) and disaster recovery as a service (DRaaS)
Continuous data protection (CDP) and snapshot-based backups

Security all types of firewall

1. Introduction to Network Security:

Overview of network security concepts
Importance of firewalls in network security
Role of firewalls in protecting against cyber threats

2. Types of Firewalls:

Packet-filtering firewalls
Stateful inspection firewalls
Proxy firewalls (application-level gateways)
Next-generation firewalls (NGFW)
Unified Threat Management (UTM) firewalls

3. Firewall Architecture:

Components of a firewall system
Firewall deployment architectures (e.g., perimeter, internal, cloud-based)
Single firewall vs. multi-layered firewall architectures

4. Firewall Technologies:

Access control lists (ACLs)
Network address translation (NAT)
Port forwarding and port triggering
Virtual private networks (VPNs) and tunneling protocols
Intrusion detection and prevention systems (IDPS)

5. Firewall Rule Configuration:

Creating and managing firewall rules
Rule-based vs. policy-based firewall configurations
Rule prioritization and ordering
Rule logging and auditing

6. Stateful Inspection and Deep Packet Inspection:

Stateful vs. stateless packet inspection
Stateful connection tracking and session management
Deep packet inspection (DPI) for advanced threat detection

7. Application Layer Filtering:

Application layer protocols and services (e.g., HTTP, FTP, SMTP)
Application-aware firewall filtering
Content filtering and URL filtering

8. Firewall Management and Administration:

Firewall management interfaces (e.g., CLI, GUI, API)
User authentication and authorization
Role-based access control (RBAC)
Firewall logging and monitoring

9. Firewall High Availability and Load Balancing:

High availability (HA) clustering and failover
Load balancing for distributing traffic across multiple firewall instances
Active-passive vs. active-active HA configurations

10. Firewall Best Practices:

Security policy development and enforcement
Regular firewall rule review and audit
Firewall hardening and configuration best practices
Integration with other security technologies (e.g., SIEM, IPS)

11. Firewall Troubleshooting and Incident Response:

Common firewall issues and troubleshooting techniques
Incident response procedures for firewall-related security events
Firewall log analysis and correlation

12. Emerging Firewall Technologies:

Cloud-based firewalls and security as a service (SECaaS)
Next-generation firewall features (e.g., application control, threat intelligence)
Software-defined networking (SDN) and firewall orchestration

Scripting :- Bash scripting

1. Introduction to Bash Scripting:

Overview of shell scripting and its importance
Introduction to the Bash shell and its features
Setting up a development environment for Bash scripting

2. Getting Started with Bash:

Understanding the Bash prompt and command-line interface
Basic shell commands for navigation, file manipulation, and directory operations
Running simple commands and scripts in the Bash shell

3. Variables and Data Types:

Understanding variables and data types in Bash
Declaring and initializing variables
Working with strings, numbers, and other data types

4. Input and Output:

Reading input from the user using the read command
Displaying output to the terminal using the echo command
Redirecting input and output with redirection operators (>, >>, <)

5. Control Structures:

Conditional execution with if…else statements
Using comparison operators and logical operators in conditional statements
Looping constructs: for loops, while loops, and until loops

6. Functions and Modularization:

Defining and calling functions in Bash scripts
Passing arguments to functions and accessing function parameters
Organizing code into reusable functions for better maintainability

7. Scripting Best Practices:

Writing clear and readable code with proper indentation and formatting
Using comments to document code and explain its purpose
Error handling and debugging techniques for troubleshooting scripts

8. Working with Files and Directories:

File operations: creating, deleting, copying, moving, and renaming files
Directory operations: creating, deleting, navigating directories
Working with file permissions and ownership

9. Advanced Topics (Optional):

Pattern matching and regular expressions with grep, sed, and awk
Shell scripting utilities and commands (find, sort, cut, tr, etc.)
Using arrays and associative arrays in Bash scripts

10. Practical Projects and Exercises:

Hands-on exercises and projects to reinforce learning
Building simple automation scripts for common tasks
Solving real-world problems with Bash scripting

11. Final Project:

A final project to apply the skills learned throughout the course
Designing and implementing a complete Bash script to solve a specific problem or automate a task

12. Review and Assessment:

Reviewing key concepts and techniques covered in the course
Assessing students’ understanding through quizzes, assignments, and a final exam

Automation… Ansible

1. Introduction to Ansible:

Overview of Ansible and its features
Understanding infrastructure as code (IaC) and configuration management
Installation and setup of Ansible on different operating systems

2. Ansible Architecture and Components:

Understanding Ansible architecture: control node, managed nodes, and inventories
Overview of Ansible components: Ansible Playbooks, Ansible Modules, and Ansible Roles

3. Ansible Playbooks:

Writing YAML-based Ansible Playbooks to define automation tasks and configurations
Organizing Playbooks into tasks, handlers, variables, and templates
Using Ansible built-in modules for common tasks such as package management, file manipulation, and service management

4. Inventory Management:

Managing inventory files to define groups of hosts and variables
Dynamic inventory and its integration with cloud providers and other systems
Using patterns and filters to select hosts dynamically in Playbooks

5. Variables and Templating:

Working with variables to parameterize Playbooks and make them reusable
Using Jinja2 templating engine to generate dynamic content in configuration files and templates
Organizing variables in variable files and group variables

6. Roles and Role-Based Playbooks:

Organizing Playbooks using Ansible Roles for better modularity and reusability
Defining Roles structure and directory layout
Writing Role-based Playbooks to encapsulate complex configurations and tasks

7. Task Control and Flow Control:

Controlling task execution flow using conditionals, loops, and tags
Using handlers to trigger tasks only when needed
Error handling and exception management in Ansible Playbooks

8. Ansible Vault and Security:

Securing sensitive data such as passwords, keys, and certificates using Ansible Vault
Encrypting and decrypting Vault-encrypted files
Best practices for managing secrets and credentials in Ansible

9. Ansible Modules and Plugins:

Exploring Ansible built-in modules for different tasks (e.g., file, command, service)
Writing custom modules and plugins to extend Ansible functionality
Managing modules and plugins distribution and installation

10. Ansible Tower and Automation Workflow:

Introduction to Ansible Tower: features, benefits, and architecture
Creating and managing job templates and workflows in Ansible Tower
Role-based access control (RBAC) and user management in Ansible Tower

11. Testing and Continuous Integration:

Automating testing of Ansible Playbooks using Ansible-lint, yamllint, and other testing tools
Integrating Ansible with CI/CD pipelines for continuous integration and deployment
Building automated testing and deployment pipelines for infrastructure as code (IaC)

12. Real-World Use Cases and Best Practices:

Case studies and examples of using Ansible for automating infrastructure provisioning, configuration, and management
Best practices for designing scalable, maintainable, and reliable automation workflows with Ansible
Troubleshooting common issues and debugging Ansible Playbooks

13. Hands-On Labs and Projects:

Hands-on labs and exercises to practice writing Ansible Playbooks and roles
Building automation scripts for common tasks such as system configuration, software deployment, and service orchestration
Working on real-world projects to apply Ansible automation skills in practical scenarios

14. Certification Preparation (Optional):

Preparation for Ansible certification exams such as Red Hat Certified Engineer (RHCE) in Ansible Automation or Ansible Certified Engineer (ACE)
Reviewing exam objectives, practicing sample questions, and discussing exam strategies

15. Q&A Sessions and Community Support:

Q&A sessions with instructors to clarify doubts and answer questions
Access to online forums, communities, and resources for additional support and collaboration

Servers – SSH/DHCP/DNS/Apache/ Nginx / Apache Tomcat/MySQL/NTP/FTP/NFS/Samba/SMTP/Poxy

1. Introduction to Networking:

Overview of computer networks and the Internet
Introduction to TCP/IP protocol suite
Understanding IP addressing, subnetting, and CIDR notation

2. SSH (Secure Shell):

Introduction to SSH protocol and its importance in secure remote access
Installation and configuration of SSH server and client on Linux and Windows systems
Using SSH for secure remote login, file transfer (SCP/SFTP), and remote command execution
SSH key management, authentication methods, and best practices for securing SSH access

3. DHCP (Dynamic Host Configuration Protocol):

Understanding DHCP fundamentals and its role in IP address allocation
Installation and configuration of DHCP server on Linux (e.g., ISC DHCP server)
Configuring DHCP scopes, leases, options, and reservations
DHCP relay agent configuration for DHCP forwarding across multiple subnets

4. DNS (Domain Name System):

Introduction to DNS and its role in translating domain names to IP addresses
Installation and configuration of DNS server (BIND) on Linux
Configuring DNS zones, resource records (A, CNAME, MX, PTR), and zone transfers
DNSSEC (Domain Name System Security Extensions) and DNS caching resolver configuration

5. Apache HTTP Server:

Introduction to Apache HTTP Server and its role as a web server
Installation and configuration of Apache on Linux and Windows systems
Configuring virtual hosts, directories, and access control using .htaccess files
SSL/TLS encryption with Apache: generating SSL certificates, configuring HTTPS

6. Nginx:

Introduction to Nginx and its features as a high-performance web server and reverse proxy
Installation and configuration of Nginx on Linux and Windows systems
Configuring server blocks (virtual hosts), location directives, and access control
Load balancing and reverse proxying with Nginx: configuring upstream servers, proxy_pass directive

7. Web Server Security:

Common web server security threats and vulnerabilities
Hardening Apache and Nginx servers: security best practices, server hardening techniques
Web application firewall (WAF) configuration and implementation (e.g., ModSecurity)

8. Monitoring and Logging:

Monitoring web server performance and health using monitoring tools (e.g., Nagios, Zabbix)
Logging and log file analysis: configuring logging in Apache and Nginx, analyzing access and error logs

9. Backup and Disaster Recovery:

Implementing backup strategies for web server data and configuration files
Disaster recovery planning and procedures for restoring web server services in case of failure

10. High Availability and Scalability:

Designing high availability (HA) and scalable web server architectures
Implementing redundancy, failover, and load balancing solutions for web servers

11. Deployment and Automation:

Deployment automation with tools like Ansible, Puppet, or Chef
Scripting and automation of common tasks and configurations for web servers

12. Case Studies and Real-World Projects:

Case studies and examples of deploying, configuring, and managing web servers in real-world scenarios
Hands-on projects to apply the knowledge and skills learned throughout the course

13. Q&A Sessions and Community Support:

Q&A sessions with instructors to clarify doubts and answer questions
Access to online forums, communities, and resources for additional support and collaboration

14. Introduction to Web/Application Servers and Databases:

Overview of web servers, application servers, and databases
Introduction to Apache Tomcat as a servlet container and application server
Introduction to MySQL as a relational database management system (RDBMS)

15. Apache Tomcat:

Installation and configuration of Apache Tomcat on Linux and Windows systems
Managing Tomcat server.xml, web.xml, and context.xml configuration files
Deploying web applications (WAR files) to Tomcat and configuring contexts
Monitoring and managing Tomcat server using Tomcat Manager web application

16. MySQL:

Installation and configuration of MySQL server on Linux and Windows systems
Configuring MySQL server settings, including database directories, logging, and security options
Creating and managing databases, tables, indexes, and views in MySQL
SQL basics: querying data, inserting, updating, and deleting records, using joins and subqueries

17. NTP (Network Time Protocol):

Understanding the importance of accurate time synchronization in computer networks
Installation and configuration of NTP server and client on Linux systems
Configuring NTP clients to synchronize time with NTP servers
Monitoring and troubleshooting NTP synchronization issues

18. FTP (File Transfer Protocol):

Introduction to FTP as a protocol for transferring files over a network
Installation and configuration of FTP server (e.g., vsftpd) on Linux systems
Configuring FTP users, permissions, and access controls
Connecting to FTP server using FTP clients and transferring files

19. NFS (Network File System):

Overview of NFS as a distributed file system protocol for sharing files across networked systems
Installation and configuration of NFS server and client on Linux systems
Exporting and mounting NFS shares, configuring NFS access controls
Managing NFS exports, monitoring NFS performance and usage

20. Samba:

Introduction to Samba as an open-source implementation of SMB/CIFS protocol for interoperability with Windows systems
Installation and configuration of Samba server on Linux systems
Configuring Samba shares, users, and permissions
Accessing Samba shares from Windows and Linux clients

21. SMTP (Simple Mail Transfer Protocol):

Overview of SMTP as a protocol for sending email messages over the Internet
Installation and configuration of SMTP server (e.g., Postfix, Sendmail) on Linux systems
Configuring SMTP server settings, including mail relay, virtual domains, and authentication
Testing SMTP server configuration and troubleshooting common email delivery issues

22. Proxy Servers:

Introduction to proxy servers and their role in network security, content filtering, and caching
Installation and configuration of proxy server (e.g., Squid) on Linux systems
Configuring proxy server settings, including access control, caching policies, and SSL interception
Monitoring proxy server traffic and performance, analyzing access logs

23. Security and Best Practices:

Security best practices for configuring and securing Apache Tomcat, MySQL, NTP, FTP, NFS, Samba, SMTP, and proxy servers
Implementing firewalls, access controls, encryption, and other security measures
Hardening server configurations and applying software updates and patches

24. Monitoring, Logging, and Troubleshooting:

Monitoring server performance, resource usage, and network traffic
Configuring logging for server services and applications, analyzing logs for troubleshooting
Troubleshooting common issues and errors in Apache Tomcat, MySQL, NTP, FTP, NFS, Samba, SMTP, and proxy servers

25. High Availability and Disaster Recovery:

Designing and implementing high availability (HA) solutions for Apache Tomcat, MySQL, and other services
Implementing backup and disaster recovery strategies for critical data and services
Testing failover procedures and disaster recovery plans

26. Hands-On Labs and Projects:

Hands-on exercises and projects to practice installing, configuring, and managing Apache Tomcat, MySQL, NTP, FTP, NFS, Samba, SMTP, and proxy servers
Building real-world infrastructure setups and deploying applications on Apache Tomcat and MySQL databases

27. Q&A Sessions and Community Support:

Q&A sessions with instructors to clarify doubts and answer questions
Access to online forums, communities, and resources for additional support and collaboration

Data Center & Cloud Migration strategy

Assessment and Inventory:

Conduct a comprehensive assessment of existing on-premises infrastructure, including servers, storage, networking equipment, and applications.
Inventory all hardware, software, and services currently in use, along with their dependencies and interdependencies.

Business Goals and Objectives:

Define the business goals and objectives driving the migration to the cloud, such as cost savings, scalability, agility, and improved performance.
Align the migration strategy with broader business initiatives and objectives.

Migration Approach:

Determine the migration approach based on the organization’s requirements and constraints:
Lift and shift: Migrating existing workloads to the cloud without significant modifications.
Replatforming: Making minimal modifications to applications and infrastructure to optimize for the cloud environment.
Refactoring: Restructuring or rewriting applications to leverage cloud-native services and architectures.
Choose the appropriate migration tools and methodologies to support the selected approach.

Cloud Platform Selection:

Evaluate different cloud service providers (e.g., AWS, Azure, Google Cloud) based on factors such as pricing, features, performance, security, and compliance.
Choose the cloud platform(s) that best align with the organization’s requirements and migration goals.

Security and Compliance:

Assess security requirements and compliance considerations for migrating data and workloads to the cloud.
Implement security controls, encryption, identity and access management (IAM), and compliance measures to protect data and ensure regulatory compliance.

Data Migration:

Develop a data migration strategy to transfer data from on-premises systems to the cloud:
Determine the best approach for migrating data (e.g., online vs. offline migration, batch vs. real-time).
Ensure data integrity, consistency, and minimal downtime during the migration process.
Test data migration procedures and validate data integrity after migration.

Application Migration:

Plan the migration of applications and workloads to the cloud:
Identify dependencies and compatibility requirements for each application.
Assess whether applications need to be rearchitected or optimized for the cloud environment.
Develop migration scripts or automation tools to streamline the migration process.
Conduct thorough testing of applications in the cloud environment to ensure functionality and performance.

Networking and Connectivity:

Design network architecture and connectivity between on-premises infrastructure and the cloud:
Establish VPN connections, direct connections (e.g., AWS Direct Connect, Azure ExpressRoute), or hybrid networking solutions.
Configure routing, subnets, and security groups to enable secure communication between on-premises and cloud resources.

Monitoring and Management:

Implement monitoring and management tools to oversee the migration process and monitor the performance of cloud resources:
Use cloud-native monitoring services (e.g., AWS CloudWatch, Azure Monitor) to track resource utilization, performance metrics, and health status.
Set up alerts and notifications to detect and respond to issues in real-time.
Establish governance policies and practices to manage cloud resources effectively and optimize costs.

Training and Change Management:

Provide training and education for IT staff and end-users to familiarize them with the cloud environment and new workflows.
Implement change management processes to manage organizational changes and ensure smooth adoption of cloud services.

Testing and Validation:

Develop a testing and validation plan to verify the functionality, performance, and security of migrated workloads:
Conduct functional testing to ensure that applications behave as expected in the cloud environment.
Perform load testing and scalability testing to assess performance under different conditions.
Conduct security testing and vulnerability assessments to identify and address security risks.

Pilot and Rollout:

Execute a pilot migration of select workloads or applications to validate the migration process and gather feedback:
Start with non-critical workloads and gradually expand the scope of migration.
Plan and execute the full rollout of migration based on lessons learned from the pilot phase.

Optimization and Continuous Improvement:

Continuously monitor and optimize cloud resources to improve performance, reduce costs, and enhance security:

Analyze resource utilization and identify opportunities for optimization (e.g., rightsizing instances, implementing auto-scaling).

Regularly review and update security controls and compliance measures to address evolving threats and regulatory requirements.

Solicit feedback from stakeholders and end-users to identify areas for improvement and implement enhancements iteratively.

Post-Migration Support:

Provide ongoing support and maintenance for migrated workloads and cloud infrastructure:
Establish support processes and escalation procedures for addressing issues and resolving incidents.
Provide training and documentation for end-users to troubleshoot common issues and utilize cloud services effectively.

Documentation and Knowledge Sharing:

Document the migration process, architecture, configurations, and best practices for future reference:

Create comprehensive documentation covering all aspects of the migration, including lessons learned, challenges faced, and solutions implemented.

Share knowledge and best practices with internal teams and stakeholders to facilitate knowledge transfer and enable self-sufficiency in managing cloud resources.

Server Hardening

Update and Patch Management:

Regularly update and patch the Linux operating system and installed software to address security vulnerabilities and bugs.

Utilize package managers (e.g., apt, yum) to install updates and security patches from official repositories.

Set up automated update mechanisms to ensure timely installation of patches.

User and Access Management:

Implement the principle of least privilege (PoLP) by granting users only the minimum level of access required to perform their job duties.

Disable or remove unnecessary user accounts and groups.

Enforce strong password policies, including password complexity requirements, password expiration, and account lockout policies.

Utilize SSH key-based authentication instead of password authentication for enhanced security.

Firewall Configuration:

Configure and enable firewall rules using tools like iptables or firewalld to restrict network traffic to and from the server.

Allow only necessary ports and protocols for inbound and outbound connections.

Implement network segmentation to isolate critical services and applications from less-trusted networks.

File System Security:

Use file system encryption (e.g., LUKS, dm-crypt) to protect sensitive data at rest.

Set appropriate file permissions and ownerships for directories and files to restrict access to authorized users and groups.

Enable filesystem access controls such as SELinux or AppArmor to enforce mandatory access controls (MAC) and protect against privilege escalation attacks.

Service Hardening:

Disable or uninstall unnecessary services and daemons to minimize the attack surface.

Configure services to run with non-privileged user accounts whenever possible.

Restrict access to administrative interfaces and sensitive services (e.g., SSH, Apache, MySQL) using access controls and IP whitelisting.

Logging and Monitoring:

Enable system logging and configure log rotation to ensure that logs are retained and rotated regularly.

Monitor system logs, audit trails, and security events for signs of unauthorized access or suspicious activity.

Implement intrusion detection and prevention systems (IDS/IPS) to detect and block malicious activities in real-time.

Kernel Hardening:

Configure kernel parameters and sysctl settings to enhance security and harden the Linux kernel.

Enable kernel security features such as ASLR (Address Space Layout Randomization), DEP (Data Execution Prevention), and kernel module signing.

Disable unnecessary kernel features and insecure protocols (e.g., ICMP redirects, IPv6 autoconfiguration) to reduce attack vectors.

Backup and Disaster Recovery:

Implement regular backups of critical data and system configurations to ensure data integrity and availability in case of data loss or system failure.

Store backups securely off-site or in an isolated network segment to prevent unauthorized access and protect against ransomware attacks.

Test backup and recovery procedures periodically to verify data recoverability and minimize downtime in the event of a disaster.

Security Compliance and Auditing:

Adhere to industry best practices and security standards (e.g., CIS benchmarks, NIST guidelines) for server hardening and configuration management.

Conduct regular security audits and vulnerability assessments to identify and remediate security weaknesses and compliance violations.

Maintain documentation of security configurations, audit findings, and remediation actions for compliance purposes and security governance.

Continual Improvement:

Stay informed about emerging security threats, vulnerabilities, and best practices through security advisories, mailing lists, and industry forums.

Continuously review and update security policies, procedures, and controls to address evolving security risks and regulatory requirements.

Conduct periodic security assessments and penetration testing to evaluate the effectiveness of security controls and identify areas for improvement.

Docker & Kubernetes Basics

Docker Basics:

What is Docker?:

Docker is an open-source platform that enables developers to build, package, distribute, and run applications in lightweight, portable containers.

Containers encapsulate the application and its dependencies into a single unit, providing consistency and isolation across different environments.

Key Concepts:

Docker Image: A read-only template containing the application code, runtime, libraries, and other dependencies needed to run the application.

Docker Container: An instance of a Docker image that runs as a lightweight, isolated process on the host machine.

Dockerfile: A text file that contains instructions for building a Docker image, specifying the base image, dependencies, and configuration.

Docker Engine: The runtime environment that manages Docker containers and provides tools for building, running, and managing containerized applications.

Basic Commands:

docker run: Creates and starts a new container based on a specified Docker image.

docker build: Builds a Docker image from a Dockerfile.

docker pull: Downloads a Docker image from a registry (e.g., Docker Hub).

docker push: Pushes a Docker image to a registry.

Container Lifecycle:

Create: Create a new container from an image.

Start: Start a stopped or paused container.

Stop: Stop a running container.

Restart: Restart a container.

Remove: Remove a container.

Kubernetes Basics:

What is Kubernetes?:

Kubernetes is an open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications.

Kubernetes provides a framework for deploying, scaling, and managing applications across clusters of hosts.

Key Concepts:

Pod: The smallest deployable unit in Kubernetes, representing one or more containers that share resources and network namespaces.

Deployment: A Kubernetes resource that manages a set of identical pods, ensuring high availability and scalability.

Service: A Kubernetes resource that provides network access to a set of pods, enabling load balancing and service discovery.

Namespace: A logical partition within a Kubernetes cluster that provides a scope for names and resource isolation.

Cluster: A collection of nodes (physical or virtual machines) that run containerized applications managed by Kubernetes.

Basic Commands:

kubectl create: Create a new Kubernetes resource (e.g., pod, deployment, service).

kubectl apply: Apply configuration changes to a Kubernetes resource.

kubectl get: Retrieve information about Kubernetes resources.

kubectl describe: Display detailed information about a Kubernetes resource.

kubectl delete: Delete a Kubernetes resource.

Deployment Workflow:

Define the desired state of the application using Kubernetes manifests (YAML or JSON files).

Apply the manifests using kubectl apply to create or update the application deployment.

Monitor the deployment using kubectl get and kubectl describe commands.

Scale the deployment up or down using kubectl scale.

Perform rolling updates or rollback using kubectl rollout.

Service Discovery and Load Balancing:

Kubernetes services provide a stable endpoint for accessing a set of pods, enabling service discovery and load balancing across the cluster.

Services can be exposed internally within the cluster or externally to the internet using different service types (ClusterIP, NodePort, LoadBalancer, Ingress).

Scaling and Self-Healing:

Kubernetes supports horizontal scaling of applications by adding or removing pod replicas based on resource utilization and user-defined metrics.

Kubernetes provides self-healing capabilities, automatically restarting containers and rescheduling pods in case of failures or crashes.

AWS comparison with Linux

Introduction to AWS and Linux:

Overview of AWS as a cloud computing platform and Linux as an open-source operating system kernel.

Understanding the roles of AWS and Linux in modern IT infrastructure.

Architecture and Components:

Exploring the architecture and components of AWS, including compute, storage, networking, databases, and management tools.

Understanding the architecture and components of Linux, including the kernel, shell, file system, processes, and services.

Deployment and Management:

Comparing deployment options for AWS (EC2 instances, serverless, containers) and Linux (physical servers, virtual machines, containers).

Exploring management tools and techniques for AWS (AWS Management Console, AWS CLI, SDKs) and Linux (command-line interface, shell scripting, configuration management tools).

Scalability and Elasticity:

Understanding how AWS provides scalability and elasticity through services like Auto Scaling, Elastic Load Balancing, and AWS Lambda.

Exploring scalability options for Linux-based systems, including vertical scaling (adding resources) and horizontal scaling (adding servers).

High Availability and Fault Tolerance:

Exploring AWS features for achieving high availability and fault tolerance, such as Availability Zones, Regions, and fault-tolerant services.

Understanding best practices for configuring Linux-based systems for high availability, including clustering, load balancing, and failover mechanisms.

Security and Compliance:

Comparing security features and compliance offerings in AWS (Identity and Access Management, encryption, compliance certifications) and Linux (permissions, firewalls, encryption).

Exploring best practices for securing AWS and Linux environments, including patch management, network security, and monitoring.

Cost Management:

Understanding AWS pricing models (pay-as-you-go, reserved instances, spot instances) and cost management tools (AWS Cost Explorer, Budgets, Trusted Advisor).

Exploring cost management strategies for Linux-based systems, including optimizing resource usage, monitoring costs, and budgeting.

Integration and Interoperability:

Exploring how AWS services integrate with Linux-based systems and vice versa, including API integration, data synchronization, and hybrid cloud architectures.

Understanding common integration patterns and use cases for AWS and Linux environments.

Migration and Hybrid Deployments:

Exploring strategies and tools for migrating workloads and applications between AWS and on-premises Linux environments.

Understanding best practices for implementing hybrid deployments and managing interoperability challenges.

Use Cases and Case Studies:

Analyzing real-world use cases and case studies where AWS and Linux are used together to solve business problems and achieve organizational goals.

Understanding common patterns and architectures for deploying applications in AWS and Linux environments.

Hands-On Labs and Exercises:

Providing hands-on labs and exercises to reinforce learning and practical skills in deploying, managing, and optimizing AWS and Linux environments.

Allowing students to experiment with AWS services, Linux commands, and configuration tasks in a controlled environment.

Q&A Sessions and Discussion:

Facilitating Q&A sessions and discussions to address questions, clarify concepts, and share experiences related to AWS and Linux.

Why Radical Technologies

1. Highly practical oriented training starting from Very basic to advanced. 1 Lakh Students Trained Since 2010 . 50K Plus Placement Records . 1 Lakh plus Global Certification

2. 25000+ Man-hours of Real-time projects & scenarios (Including All Technologies)

3. A unique institute for Data Science – With R , Python , S-A-S , Big Data Science , Machine Learning | AI- Deep Learning | Automation | RPA – UI Path , Blue Prism , Automation Anywhere | Redhat Linux – All Redhat related technologies | Vmware | Tableau | Power BI | All Microsoft Technologies | Oracle DBA , PLSQL – All Oracle Technologies | Salesforce and Microsoft CRM| Storage and NetBackup – EMC , NetApp , IBM , VERITAS | Business Intelligence | Business Analyst | Hadoop Bigdata – Developer and Admin | All IT Infra Migration , Upgradation , Implementation Skills | All Cloud Related technologies – Including AWS , Azure, Google Cloud , OpenStack – Private Cloud | Java and Dot Net Microservices | DevOps – All type of integration | Docker and Kubernetes , Software Testing , Rest API , Rest Assured , Mobile Testing , All advanced Frameworks , IoT , Data Warehousing ,SAP – Any modules And Many more .

4. Building up professionals by highly experienced professionals -10 to 20+ year Experienced corporate trainers With Real Time Experience.

5. 100 % quality assurance in training.

6. 30000+ Hours Total Solved Practical Assignments & Use Case Studies given to the students (Including all Technologies)

7. Pool of 300 + Corporate Trainers

8. Project Oriented scenarios that will make you confident while you start working on particular technology

9. Special attention is given to each student to get benefited from the training

10. Best hardware set-up LAB with High-End Machines. VNX 5300 And FAS3240AE SAN Unified Storages + Cisco UCS Servers, Sun, IBM, HP Workstations, VMWARE, CISCO UCS Servers

11. Remote access to Data centre infrastructure to make sure that everyone gets hands own to particular technology even after you finish the course

12. All Course with Projects | Assignment | Scenarios and Use Case Studies

13. Authorized Kryterion | Pearson | PSI and Redhat Global Certification Exam Canters

14. Course completion certificate and Global Certifications of Respective Vendors are attractions of our Course.

15. 0% EMI options for all courses

Pune | Bangalore | Kerala | Sangli | U.K

Head Office Address :- Radical Technologies Aundh – Pune

4th Floor, Medhi Park, DP Rd, above Bata Showroom, opposite Shiv Sagar Hotel, Harmony Society, Ward No. 8, Wireless Colony, Aundh, Pune, Maharashtra 411007

Phone: 8055223360

Email: Training queries :[email protected]

AWS CERTIFIED SOLUTIONS ARCHITECT – ASSOCIATE

AWS Training Duration : 150 hrs

AWS Batch type : Weekends

Mode of AWS Training : Only Offline

AWS Solutions Architect Training & Certification in Pune By Highly Experienced Certified Trainer Mr. Anand Tiwari with 20+ yrs. Exp. in Industry , Teaching you with Realtime Projects, Scenarios & Assignments .

AWS Certifications Available :

AWS Solutions Architect ==> AWS Sysops Administration ==> AWS DevOps Engineer

AWS certification training in pune

AWS Live Projects
AWS POC’s
AWS Multiple Assignments
Cover All contents of AWS Solution Architect Exam
Live Migration from VMware vsphere to AWS
Live Migration from Azure to AWS
AWS VPC, EC2, VPN Gateway
VPN connectivity from Azure to AWS
Interview and CV Preparation.
AWS Mock interviews.

Extra Sessions By Anand Tiwari – What You Get

Advance storage DAS/SAN/NAS/Object design and implementation

Advance L3 level Networking and Network trouble shooting with end to end VPC design

Advance Security with VPN implementation and 4 type of firewalls

Complete database with real time RDS fail over design

Production grade 3 tier Architecture design on LAMP stack

Multiple real time Projects

100 plus scenario based practical

100% practical Hands training

One can claim 2yr L2 level experience in CV after completing this class

******************************************

Note : Each AWS lecture will be followed by a hands-on demo/activity wherever applicable

AWS CERTIFIED SOLUTIONS ARCHITECT – ASSOCIATE SYLLABUS

AWS COURSE CONTENT

Getting Started :

Course Introduction

About the Training Architect

Working as a Solutions Architect

Creating an AWS Account, AWS Free Tier, Usage Tracking, and Billing Widget

Access Management

Shared Responsibility/Security Model

Service Models

High Availability vs. Fault Tolerance

RPO vs. RTO

Scaling

Tiered Application Design

Encryption

Architecture Odds and Ends

Architecture 101

AWS Architecture :

AWS Accounts

AWS Physical and Networking Layer

Well-Architected Framework

Elasticity

AWS Architecture 101

AWS Product Fundamentals :

Console Tour and Navigation

Introduction to S3

Introduction to CloudFormation

Hands-on Labs

Getting Started with CloudFormation

AWS Product Fundamentals

IAM (Identity and Access Management) :

IAM Essentials

IAM Policies

IAM Users

IAM Groups

IAM Access Keys

Securing Your Account — Creating an IAM User and Setting Up the CLI

IAM Roles

IAM Essentials

Multi-Account Management and Organizations :

AWS Organizations

Role Switching Between Accounts

Multi-Account Management and Organizations

Server-Based Compute (EC2) Fundamentals :

EC2 Architecture: Part 1

EC2 Architecture: Part 2

Instance Types and Sizes

EC2 Storage Architecture: Part 1

EC2 Storage Architecture: Part 2

EBS Snapshots

Security Groups

Instance Metadata

Hands-on Labs

Creating and Working with an EC2 Instance

Server-Based Compute (EC2) Fundamentals

Server-Based Compute (EC2) Intermediate :

AMI

Bootstrap

Instance ENI, IP, and DNS: Part 1

Instance ENI, IP, and DNS: Part 2

Instance Roles

Server-Based Compute (EC2) Intermediate

Using EC2 Roles and Instance Profiles

Using AWS Tags and Resource Groups

Server-Based Compute (EC2) Advanced :

EBS Volume and Snapshot Encryption

EBS Optimization, Enhanced Networking, and Placement Groups

EC2 Billing Models: Part 1 – Spot and Spot Fleet

EC2 Billing Models: Part 2 – Reserved Instances

Dedicated Hosts

Server-Based Compute (EC2) Advanced

Serverless Compute (Lambda) :

What Are APIs and Microservices?

Serverless and Event-Driven Architectures

Lambda Essentials: Part 1

Lambda Essentials: Part 2

API Gateway Essentials: Part 1

API Gateway Essentials: Part 2

Step Functions

Serverless Compute (Lambda)

Container-Based Compute and Microservices :

Docker Essentials

ECS

Container-Based Compute and Microservices

Networking Fundamentals :

Introduction

Seven-Layer OSI Model: Part 1

Seven-Layer OSI Model: Part 2

IP Addressing Basics

Subnetting

IP Routing

Firewalls

Proxy Servers

Networking Fundamentals

Virtual Private Cloud (VPC) :

Virtual Private Cloud (VPC) and Subnets: Part 1

Virtual Private Cloud (VPC) and Subnets: Part 2

Routing and Internet Gateway

Bastion Host/JumpBox

NAT, NAT Instance, and NAT Gateway: Part 1

NAT, NAT Instance, and NAT Gateway: Part 2

Network ACLs

Hands-on Labs

Designing and Building a Custom VPC from Scratch

Virtual Private Cloud (VPC)

Advanced VPC :

VPC Peering: Part 1

VPC Peering: Part 2

VPC Endpoints: Part 1

VPC Endpoints: Part 2

IPv6 within AWS

Egress-Only Gateway

Hands-on Labs

Implementing VPC Peering on AWS

Advanced VPC

Global DNS (Route 53) Fundamentals :

DNS 101

Domain Registration

Private vs. Public Hosted Zones

Record Set Types

Health Checks

Global DNS (Route 53) Fundamentals

Global DNS (Route 53) Advanced :

Routing Policy: Simple

Routing Policy: Failover

Routing Policy: Weighted

Routing Policy: Latency

Routing Policy: Geolocation

Global DNS (Route 53) Advanced

S3 Architecture and Features :

Permissions

Transferring Data to S3

Encryption

Static Websites and CORS

Object Versioning

Presigned URLs

Hands-on Labs

Creating a Static Website Using Amazon S3

S3 Performance and Resilience :

Storage Tiers/Classes

Lifecycle Policies and Intelligent-Tiering

Cross-Region Replication (CRR)

CloudFront :

CloudFront Architecture: Part 1

CloudFront Architecture: Part 2

OAI

Network File Systems :

EFS Fundamentals: Part 1

EFS Fundamentals: Part 2

Storage and Content Delivery

Database Fundamentals :

Database Models

SQL — RDS :

RDS Essentials: Part 1

RDS Essentials: Part 2

RDS Backups and Restore

RDS Resiliency: Multi-AZ

RDS Read Replicas

Database Fundamentals and SQL — RDS

SQL — Aurora :

Aurora Essentials: Part 1

Aurora Essentials: Part 2

Parallel Queries and Aurora Global

Aurora Serverless Essentials: Part 1

Aurora Serverless Essentials: Part 2

SQL — Aurora

NoSQL :

DynamoDB Essentials: Part 1 — Tables and Items

DynamoDB Essentials: Part 2 — Query and Scan

DynamoDB Essentials: Part 3

DynamoDB Performance and Billing

DynamoDB Streams and Triggers

DynamoDB Indexes: Part 1 — LSI

DynamoDB Indexes: Part 2 — GSI

NoSQL

In-Memory Caching :

DAX

ElastiCache

In-Memory Caching

Load Balancing and Auto Scaling :

Load Balancing Fundamentals

Classic Load Balancers and Health Checks: Part 1

Classic Load Balancers and Health Checks: Part 2

Classic Load Balancers and Health Checks: Part 3

Application Load Balancers: Part 1

Application Load Balancers: Part 2

Network Load Balancers

Launch Templates and Configurations

Auto Scaling Groups: Part 1

Auto Scaling Groups: Part 2

Hands-on Labs

Implementing an Auto Scaling Group and Application Load Balancer in AWS

VPN and Direct Connect :

VPC VPN (IPsec)

Direct Connect Architecture

When to Pick Direct Connect vs. VPN

Snow* :

Snowball, Snowball Edge, and Snowmobile

Data and DB Migration :

Storage Gateway 101

Database Migration Service 101

Identity Federation and SSO :

What Is Identity Federation?

When to Use Identity Federation

Hybrid and Scaling

Application Integration :

Simple Notification Service (SNS)

Simple Queue Service (SQS): Part 1

Simple Queue Service (SQS): Part 2

Elastic Transcoder

Application Integration

Analytics :

Athena

Elastic MapReduce (EMR)

Kinesis and Firehose

Redshift

Analytics

Logging and Monitoring :

CloudWatch

CloudWatch Logs

CloudTrail

VPC Flow Logs

Hands-on Labs

Custom Logging Using CloudWatch and CloudWatch Logs

Hands-on Labs

Working with AWS VPC Flow Logs for Network Monitoring

Logging and Monitoring

Operations :

CloudWatch Events

KMS Essentials: Part 1

KMS Essentials: Part 2

Deployment :

Elastic Beanstalk

OpsWorks

Operations and Deployment

The Exam :

How to Prepare for the Real Exam

AWS Solutions Architect Associate (SAAC01) – Final Practice Exam

Course Features :

This course can help prepare you for a certification exam.

Earn a Certificate of Completion

When you complete this course, you’ll receive a certificate of completion as proof

What you Get Extra in this Training , other than AWS Solution Architect Certified Curriculum.

Advance storage DAS/SAN/NAS/Object design and implementation

An advanced storage course covering Direct-Attached Storage (DAS), Storage Area Networks (SAN), Network-Attached Storage (NAS), and Object Storage design and implementation would typically delve into the intricate details of storage architectures, protocols, technologies, and best practices. Here’s an outline of what such a course might include:

Introduction to Advanced Storage Concepts:

Overview of storage architectures: DAS, SAN, NAS, and Object Storage.

Understanding storage protocols: SCSI, Fibre Channel, iSCSI, NFS, SMB/CIFS, S3, Swift, etc.

Comparison of storage technologies based on performance, scalability, cost, and use cases.

Direct-Attached Storage (DAS):

Architecture and components of DAS.

Installation and configuration of DAS devices.

RAID configurations and disk management.

Best practices for DAS deployment and management.

Storage Area Networks (SAN):

SAN architecture and components: switches, HBAs, storage arrays.

Fibre Channel and iSCSI protocols.

SAN zoning, masking, and fabric design.

SAN management tools and practices.

Implementing SAN replication and disaster recovery.

Network-Attached Storage (NAS):

NAS architecture and components: filers, controllers, storage pools.

NFS and SMB/CIFS protocols.

NAS configuration and file system management.

NAS security and access control.

Implementing NAS snapshots and backups.

Object Storage:

Object storage architecture and design principles.

Understanding object storage protocols: S3, Swift, etc.

Object storage implementations: AWS S3, Azure Blob Storage, OpenStack Swift, etc.

Object storage features: scalability, durability, versioning, lifecycle policies.

Use cases for object storage: data lakes, backup/archiving, content delivery, web applications.

Storage Virtualization and Management:

Storage virtualization concepts and technologies.

Implementing virtualized storage solutions: storage virtualization appliances, software-defined storage (SDS).

Storage management tools and automation: provisioning, monitoring, reporting.

Storage performance optimization and tuning.

Data Protection and Disaster Recovery:

Backup and recovery strategies for advanced storage environments.

Implementing data replication, snapshots, and point-in-time copies.

Disaster recovery planning and testing.

High availability and fault tolerance in storage architectures.

Security and Compliance:

Security considerations for advanced storage systems: encryption, access control, auditing.

Compliance requirements and best practices: GDPR, HIPAA, PCI DSS, etc.

Implementing data classification and protection policies.

Scalability and Performance Optimization:

Scaling storage infrastructure to meet growing demands.

Performance optimization techniques: caching, tiering, load balancing.

Capacity planning and forecasting.

Case Studies and Hands-On Labs:

Real-world case studies of advanced storage implementations in enterprise environments.

Hands-on labs and exercises for configuring, managing, and troubleshooting DAS, SAN, NAS, and object storage systems.

Designing and implementing storage solutions for specific use cases and scenarios.

Best Practices and Industry Trends:

Best practices for designing, deploying, and managing advanced storage solutions.

- Emerging trends and technologies in storage: hyper-converged infrastructure, cloud storage, software-defined storage.

Advance L3 level Networking and Network trouble shooting with end to end VPC design

An advanced course on Level 3 (L3) networking and network troubleshooting with end-to-end VPC (Virtual Private Cloud) design would cover a comprehensive range of topics related to networking architectures, protocols, troubleshooting methodologies, and best practices for designing and managing VPCs in cloud environments. Here’s an outline of what such a course might include:

Networking Fundamentals Review:

Review of OSI model, TCP/IP stack, and key networking concepts.

Understanding IP addressing, subnetting, and CIDR notation.

Overview of routing protocols: OSPF, BGP, EIGRP, etc.

Introduction to VLANs, VPNs, and MPLS.

Advanced Routing and Switching:

Deep dive into routing protocols: OSPF, BGP, EIGRP, RIP.

Route redistribution and route filtering techniques.

Virtual routing and forwarding (VRF) and multi-VRF configurations.

Advanced switching concepts: VLAN trunking, Spanning Tree Protocol (STP), VLAN tagging, etc.

Quality of Service (QoS) principles and configurations.

Network Troubleshooting Methodologies:

Understanding the troubleshooting process: Identify, isolate, rectify, and verify.

Utilizing network troubleshooting tools: ping, traceroute, nslookup, netstat, tcpdump, Wireshark, etc.

Analyzing network traffic and packet captures to diagnose issues.

Troubleshooting common network problems: connectivity issues, routing errors, DNS resolution problems, etc.

Network Security:

Overview of network security principles and best practices.

Implementing access control lists (ACLs) for traffic filtering and security.

VPN technologies and configurations: IPSec VPNs, SSL VPNs, site-to-site VPNs, remote access VPNs.

Network segmentation and micro-segmentation using VLANs and security groups.

VPC Design and Implementation:

Introduction to VPCs and cloud networking concepts.

Design considerations for VPCs: IP addressing schemes, subnetting, routing tables, security groups, network ACLs.

VPC peering and connectivity options: VPC endpoints, VPN connections, Direct Connect.

High availability and fault tolerance in VPC architectures.

Best practices for VPC design: scalability, performance, security, cost optimization.

Advanced VPC Configurations:

Implementing transit gateways for hub-and-spoke VPC architectures.

Network segmentation and isolation using multiple VPCs and VPC sharing.

Implementing VPC flow logs for network traffic monitoring and analysis.

Integrating VPCs with other AWS services: AWS Direct Connect, AWS Transit Gateway, AWS VPN, AWS PrivateLink, etc.

Hybrid Cloud Networking:

Designing hybrid cloud architectures: connecting on-premises networks to AWS VPCs.

Implementing VPN connections and Direct Connect for hybrid cloud connectivity.

Network integration options: AWS Transit Gateway, VPN CloudHub, VPC peering, AWS Direct Connect Gateway.

Considerations for data migration, replication, and synchronization between on-premises and cloud environments.

Case Studies and Hands-On Labs:

Real-world case studies of network design and troubleshooting scenarios in enterprise environments.

Hands-on labs and exercises for configuring, managing, and troubleshooting network infrastructure and VPCs.

Designing and implementing end-to-end VPC architectures for specific use cases and scenarios.

Best Practices and Industry Trends:

Best practices for designing, deploying, and managing enterprise-grade networks and VPCs.

- Emerging trends and technologies in networking: software-defined networking (SDN), network automation, intent-based networking.

Advance Security with VPN implementation and 4 type of firewalls

An advanced security course covering VPN implementation and the four types of firewalls would delve into a comprehensive range of topics related to network security, VPN technologies, firewall architectures, and best practices for implementing and managing secure network environments. Here’s an outline of what such a course might include:

Introduction to Network Security:

Overview of network security principles, threats, and vulnerabilities.

Understanding the CIA triad: confidentiality, integrity, availability.

Introduction to defense-in-depth security strategy.

Virtual Private Networks (VPNs):

Introduction to VPNs and their role in securing network communications.

VPN architectures: site-to-site VPNs, remote access VPNs (SSL VPNs, IPsec VPNs).

VPN protocols and encryption methods: IPsec, SSL/TLS, L2TP, PPTP.

VPN deployment considerations: scalability, performance, interoperability, security.

VPN Implementation and Configuration:

Planning and designing VPN solutions based on organizational requirements.

Configuring VPN endpoints: VPN concentrators, VPN gateways, VPN clients.

Implementing encryption, authentication, and key management for secure VPN tunnels.

Troubleshooting common VPN issues and connectivity problems.

Firewall Fundamentals:

Introduction to firewalls and their role in network security.

Understanding the OSI model and firewall placement.

Types of firewalls: packet-filtering firewalls, stateful inspection firewalls, proxy firewalls, next-generation firewalls (NGFW).

Firewall architectures and deployment options: hardware firewalls, software firewalls, virtual firewalls.

Packet-Filtering Firewalls:

Packet-filtering firewall operation and rule processing.

Configuring packet-filtering rules based on source/destination IP, port numbers, and protocols.

Limitations and security considerations of packet-filtering firewalls.

Case studies and examples of packet-filtering firewall configurations.

Stateful Inspection Firewalls:

Stateful inspection firewall architecture and operation.

Understanding stateful packet inspection and connection tracking.

Configuring stateful inspection rules for improved security and performance.

Integration with VPNs, NAT, and other network services.

Proxy Firewalls:

Proxy firewall concepts and functionality.

Understanding proxy server architectures: forward proxies, reverse proxies.

Implementing transparent and non-transparent proxying for HTTP, FTP, and other protocols.

Application-layer filtering and content inspection in proxy firewalls.

Next-Generation Firewalls (NGFW):

Introduction to NGFW features and capabilities.

Application-aware firewalling and deep packet inspection (DPI).

Implementing intrusion prevention systems (IPS) and intrusion detection systems (IDS).

Advanced security features: URL filtering, antivirus, sandboxing, SSL inspection.

Firewall Management and Best Practices:

Best practices for firewall rule management, optimization, and documentation.

Implementing firewall high availability and redundancy.

Monitoring and logging firewall traffic for security analysis and incident response.

Firewall security policies and compliance with industry standards (e.g., PCI DSS, GDPR).

Case Studies and Hands-On Labs:

Real-world case studies of VPN and firewall implementations in enterprise environments.

Hands-on labs and exercises for configuring, managing, and troubleshooting VPNs and firewalls.

Designing and implementing secure VPN and firewall architectures for specific use cases and scenarios.

Best Practices and Industry Trends:

Best practices for designing, deploying, and managing secure network environments with VPNs and firewalls.

Emerging trends and technologies in VPNs and firewalls: SD-WAN, zero-trust security, cloud-based security services.

Complete database with real time RDS fail over design

Designing a complete database system with real-time RDS failover involves careful planning and implementation to ensure high availability, fault tolerance, and data integrity. Below is an outline of the components and considerations involved in such a design:

AWS RDS Multi-AZ Deployment:

- Utilize Amazon RDS (Relational Database Service) for database management.
- Deploy RDS in Multi-AZ (Availability Zone) configuration for automatic failover.
- Multi-AZ setup provides synchronous replication of the primary database to a standby instance in a different AZ for automatic failover in case of failure.

Database Engine Selection:

- Choose the appropriate database engine supported by RDS (e.g., MySQL, PostgreSQL, SQL Server, Oracle) based on your application requirements and compatibility.
- Ensure compatibility with Multi-AZ deployment for automatic failover support.

Read Replicas for Scaling and Redundancy:

- Implement Read Replicas for scaling read-heavy workloads and improving read performance.
- Read Replicas can also serve as failover targets in case the primary instance fails, although failover may involve some manual intervention compared to Multi-AZ failover.

VPC and Subnet Design:

- Design a Virtual Private Cloud (VPC) with multiple subnets spread across different Availability Zones for high availability and fault tolerance.
- Ensure proper network connectivity and security group configurations to allow communication between RDS instances and application servers.

Monitoring and Alerting:

- Utilize AWS CloudWatch for monitoring RDS instances and setting up alarms for metrics such as CPU utilization, storage usage, and replication lag.
- Configure CloudWatch Events to trigger automated responses or notifications in case of critical events or failures.

Automated Backups and Point-in-Time Recovery:

- Enable automated backups for RDS instances to create regular snapshots of the database.
- Configure retention periods for backups and enable point-in-time recovery to restore the database to a specific point in time.
- Regularly test backup and recovery procedures to ensure data integrity and reliability.

Database Security:

- Implement security best practices for RDS instances, including encryption at rest and in transit, IAM database authentication, and network security measures.
- Use AWS Key Management Service (KMS) for managing encryption keys and securing sensitive data.

Failover Testing and Disaster Recovery:

- Conduct regular failover testing to validate the effectiveness of Multi-AZ failover and Read Replica promotion.
- Develop and document disaster recovery procedures for scenarios such as regional outages or catastrophic failures.

High Availability for Application Servers:

- Ensure that application servers are deployed in a highly available manner across multiple Availability Zones.
- Implement load balancing and auto-scaling to distribute traffic evenly and handle sudden increases in demand.

Data Replication and Synchronization:

- Implement application-level data replication and synchronization mechanisms for scenarios where eventual consistency is acceptable and Multi-AZ failover is not sufficient.
- Use database features such as triggers, stored procedures, or third-party replication solutions to synchronize data between primary and secondary databases.

Testing and Monitoring Failover Scenarios:

- Regularly test failover scenarios and recovery procedures to verify the resilience and effectiveness of the overall system design.
- Monitor and analyze failover events to identify any issues or performance bottlenecks and make necessary adjustments.

Production grade 3 tier Architecture design on LAMP stack

Presentation Layer (Frontend):

- Web Server: Use Apache HTTP Server or Nginx to serve static and dynamic content to users.
- Application Framework: Choose a PHP framework like Laravel, Symfony, or CodeIgniter for building dynamic web applications.
- Client-Side Technologies: Utilize HTML, CSS, and JavaScript frameworks (e.g., React, Angular, Vue.js) for building responsive and interactive user interfaces.
- Content Delivery Network (CDN): Implement a CDN (e.g., Amazon CloudFront, Cloudflare) for caching and delivering static assets to users globally, improving performance and scalability.

Application Layer (Middleware):

- Application Server: Utilize PHP as the server-side scripting language for processing requests and generating dynamic content.
- Middleware Components: Implement middleware components such as caching mechanisms (e.g., Memcached, Redis), session management, and authentication/authorization mechanisms (e.g., OAuth, JWT).
- Load Balancing: Deploy a load balancer (e.g., AWS Elastic Load Balancer, HAProxy) to distribute incoming traffic across multiple application servers for scalability and fault tolerance.
- Microservices Architecture (Optional): Consider adopting a microservices architecture for decoupling and scaling individual components of the application independently.

Data Layer (Backend):

- Database Management System: Use MySQL or MariaDB as the relational database management system (RDBMS) for storing and managing application data.
- Database Optimization: Implement database optimization techniques such as indexing, query optimization, and normalization/denormalization to improve performance and efficiency.
- Replication and Sharding (Optional): Consider implementing database replication for read scalability and sharding for horizontal partitioning of data across multiple database servers.
- Backup and Recovery: Set up regular database backups and implement disaster recovery procedures to ensure data availability and integrity.

Infrastructure and Deployment:

- Virtualization or Containerization: Deploy the application components using virtual machines (e.g., AWS EC2 instances) or containers (e.g., Docker) for isolation and scalability.
- Infrastructure as Code (IaC): Use tools like Terraform or AWS CloudFormation to define and provision the infrastructure resources (e.g., servers, networks, databases) in a repeatable and automated manner.
- Continuous Integration/Continuous Deployment (CI/CD): Implement CI/CD pipelines using tools like Jenkins, GitLab CI/CD, or AWS CodePipeline for automating the build, testing, and deployment of application updates.
- Monitoring and Logging: Set up monitoring and logging solutions (e.g., Prometheus, ELK stack) to track application performance, detect errors, and troubleshoot issues in real-time.

Security and Compliance:

- Network Security: Implement network security measures such as firewalls, security groups, and VPNs to protect the infrastructure from unauthorized access and attacks.
- Data Encryption: Encrypt sensitive data at rest and in transit using SSL/TLS encryption protocols and encryption keys managed by AWS Key Management Service (KMS) or similar services.
- Access Control: Implement role-based access control (RBAC) and least privilege principles to restrict access to sensitive resources and data.
- Compliance Requirements: Ensure compliance with industry regulations (e.g., GDPR, HIPAA) by implementing appropriate security controls and data protection measures.

100 plus scenario based practical

EC2 Instances:

- Launching EC2 instances with different instance types and sizes.
- Configuring security groups and IAM roles for EC2 instances.
- Creating custom AMIs and launching instances from them.
- Implementing auto-scaling groups for dynamic workload management.

S3 Bucket Management:

- Creating S3 buckets with various configurations (versioning, logging, encryption).
- Uploading and downloading objects to/from S3 buckets.
- Configuring lifecycle policies for object expiration and transition to Glacier.
- Enabling Cross-Region Replication (CRR) between S3 buckets.

Networking:

- Creating and configuring VPCs with multiple subnets, route tables, and Internet Gateways.
- Implementing VPC peering between multiple VPCs.
- Setting up VPN connections between on-premises networks and AWS VPCs.
- Configuring AWS Direct Connect for dedicated network connectivity.

Load Balancing:

- Deploying an Application Load Balancer (ALB) for distributing HTTP/HTTPS traffic.
- Configuring target groups and health checks for ALB.
- Implementing SSL termination and certificate management on ALB.
- Setting up cross-zone load balancing and sticky sessions.

Database Services:

- Creating and managing RDS database instances (MySQL, PostgreSQL, SQL Server).
- Configuring read replicas and Multi-AZ deployments for RDS.
- Implementing database backups, snapshots, and point-in-time recovery.
- Using Amazon Aurora for high-performance, scalable database solutions.

Monitoring and Logging:

- Setting up CloudWatch alarms for monitoring EC2 instance metrics (CPU utilization, disk I/O, network traffic).
- Configuring CloudWatch Logs for centralized logging of application logs.
- Implementing custom CloudWatch Metrics and dashboards for application monitoring.
- Integrating CloudWatch with AWS Lambda for automated remediation actions.

Security:

- Implementing IAM policies and roles for fine-grained access control.
- Configuring AWS Config rules for compliance monitoring and enforcement.
- Enforcing encryption-at-rest and encryption-in-transit for various AWS services.
- Using AWS WAF (Web Application Firewall) for protecting web applications from common exploits and attacks.

Serverless Computing:

- Creating and deploying AWS Lambda functions for serverless computing.
- Configuring event sources (S3, SNS, DynamoDB) to trigger Lambda functions.
- Integrating Lambda with API Gateway for building serverless REST APIs.
- Implementing asynchronous processing with AWS SQS and Lambda.

Automation and Orchestration:

- Writing and deploying AWS CloudFormation templates for infrastructure-as-code (IaC).
- Creating and scheduling AWS Lambda functions using CloudWatch Events.
- Using AWS Step Functions for orchestrating multi-step serverless workflows.
- Implementing CI/CD pipelines with AWS CodePipeline and AWS CodeDeploy.

Advanced Topics:

- Implementing containerized applications with Amazon ECS or Amazon EKS.
- Configuring AWS Elastic Beanstalk for deploying and managing web applications.
- Setting up AWS Organizations and consolidated billing for multi-account management.
- Implementing AWS CloudTrail for auditing and compliance monitoring.

AWS Solution Architect – Tasks & Responsibility – Multiple real time Projects

Monitoring and Alerting:

Check AWS CloudWatch dashboards and metrics for any abnormalities or issues with system performance, resource utilization, or application health.

Review CloudWatch alarms and notifications to identify any alerts that require immediate attention or investigation.

Incident Response and Troubleshooting:

Respond to alerts and incidents by investigating the root cause of issues and taking appropriate actions to resolve them.

Troubleshoot system errors, performance bottlenecks, and connectivity issues across AWS services and resources.

Coordinate with cross-functional teams, such as development, operations, and security, to resolve complex issues and outages.

Infrastructure Management:

Provision, configure, and manage AWS resources, including EC2 instances, S3 buckets, RDS databases, VPCs, and IAM users.

Monitor resource usage and capacity to ensure adequate provisioning and optimize resource allocation based on workload demands.

Security and Compliance:

Review and update security policies, IAM roles, and access controls to ensure compliance with security best practices and organizational policies.

Conduct security audits and assessments to identify and remediate vulnerabilities, misconfigurations, and security risks in AWS environments.

Implement encryption, data protection, and network security measures to safeguard sensitive data and prevent unauthorized access.

Backup and Disaster Recovery:

Verify the status and integrity of backups, snapshots, and replication processes for critical data and applications.

Perform regular tests and drills of disaster recovery (DR) plans and procedures to validate their effectiveness and readiness for restoring services in case of a disaster.

Cost Management and Optimization:

Monitor AWS spending and usage using cost management tools (e.g., AWS Cost Explorer, AWS Budgets) to track expenses and identify cost-saving opportunities.

Review cost allocation tags, reserved instance utilization, and billing reports to optimize resource utilization and reduce unnecessary expenses.

Automation and Scripting:

Develop and maintain automation scripts, AWS CLI commands, and AWS SDK integrations to streamline routine tasks and workflows.

- Implement infrastructure as code (IaC) practices using tools like AWS CloudFormation or Terraform to automate resource provisioning and configuration.

Why Radical Technologies

Highly practical oriented training starting from Very basic to advanced. 1 Lakh Students Trained Since 2010 . 50K Plus Placement Records . 1 Lakh plus Global Certification
25000+ Man-hours of Real-time projects & scenarios (Including All Technologies)
A unique institute for Data Science – With R , Python , S-A-S , Big Data Science , Machine Learning | AI- Deep Learning | Automation | RPA – UI Path , Blue Prism , Automation Anywhere | Redhat Linux – All Redhat related technologies | Vmware | Tableau | Power BI | All Microsoft Technologies | Oracle DBA , PLSQL – All Oracle Technologies | Salesforce and Microsoft CRM| Storage and NetBackup – EMC , NetApp , IBM , VERITAS | Business Intelligence | Business Analyst | Hadoop Bigdata – Developer and Admin | All IT Infra Migration , Upgradation , Implementation Skills | All Cloud Related technologies – Including AWS , Azure, Google Cloud , OpenStack – Private Cloud | Java and Dot Net Microservices | DevOps – All type of integration | Docker and Kubernetes , Software Testing , Rest API , Rest Assured , Mobile Testing , All advanced Frameworks , IoT , Data Warehousing ,SAP – Any modules And Many more .
Building up professionals by highly experienced professionals -10 to 20+ year Experienced corporate trainers With Real Time Experience.
100 % quality assurance in training.
30000+ Hours Total Solved Practical Assignments & Use Case Studies given to the students (Including all Technologies)
Pool of 300 + Corporate Trainers
Project Oriented scenarios that will make you confident while you start working on particular technology
Special attention is given to each student to get benefited from the training
Best hardware set-up LAB with High-End Machines. VNX 5300 And FAS3240AE SAN Unified Storages + Cisco UCS Servers, Sun, IBM, HP Workstations, VMWARE, CISCO UCS Servers
Remote access to Data centre infrastructure to make sure that everyone gets hands own to particular technology even after you finish the course
All Course with Projects | Assignment | Scenarios and Use Case Studies
Authorized Kryterion | Pearson | PSI and Redhat Global Certification Exam Canters
Course completion certificate and Global Certifications of Respective Vendors are attractions of our Course.
0% EMI options for all courses

Pune | Bangalore | Kerala | Sangli | U.K

Head Office Address :- Radical Technologies Aundh – Pune

4th Floor, Medhi Park, DP Rd, above Bata Showroom, opposite Shiv Sagar Hotel, Harmony Society, Ward No. 8, Wireless Colony, Aundh, Pune, Maharashtra 411007

Phone: 8055223360

Email: Training queries :[email protected]

LINUX | CLOUD | DEVOPS Module III

Devops Basics

1)Git

2)Nagios

3)Docker implementation

4) Kubernetes implementation

5) Ansible

6)Terraform

Git

Introduction to Version Control:

Overview of version control systems (VCS) and their importance in software development.

Understanding the benefits of using Git for version control.

Installation and Configuration:

Installing Git on your local machine (Windows, macOS, Linux).

Configuring Git with user name, email, and other settings using git config.

Basic Git Concepts:

Understanding repositories, branches, commits, and the Git workflow.

Overview of the staging area (index) and the working directory.

Initializing a Repository:

Initializing a new Git repository with git init.

Cloning an existing repository with git clone.

Working with Commits:

Adding changes to the staging area with git add.

Committing changes to the repository with git commit.

Viewing commit history with git log.

Branching and Merging:

Creating and switching branches with git branch and git checkout.

Merging branches with git merge.

Resolving merge conflicts.

Remote Repositories:

Adding remote repositories with git remote add.

Fetching changes from a remote repository with git fetch.

Pushing changes to a remote repository with git push.

Pulling changes from a remote repository with git pull.

Collaboration with Git:

Understanding Git workflows (centralized, feature branching, Gitflow).

Collaborating with others using branches, pull requests, and code reviews.

Forking and contributing to open-source projects on platforms like GitHub or GitLab.

Managing Changes:

Viewing changes with git diff.

Stashing changes with git stash.

Undoing changes with git reset, git revert, and git checkout.

Advanced Topics (Optional):

Git aliases for creating custom shortcuts.

Using Git hooks for automating tasks.

Submodules and subtree merging for managing dependencies.

Git bisect for binary search debugging.

Best Practices and Tips:

Using descriptive commit messages.

Keeping commits small and focused.

Regularly pulling and merging changes from upstream.

Properly documenting and organizing repositories.

Hands-On Exercises:

Practical exercises and scenarios to reinforce learning.

- Setting up sample projects and performing common Git operations.

Nagios

Introduction to Nagios:

- Overview of Nagios as a monitoring solution.
- Understanding the importance of monitoring in IT infrastructure management.

Nagios Architecture:

- Components of Nagios: Nagios Core, Plugins, Frontends (Nagios XI, Nagios Fusion), and Addons.
- Understanding the role of each component in the monitoring process.

Nagios Core Installation:

- Installing Nagios Core on a Linux server (e.g., CentOS, Ubuntu).
- Configuring basic settings such as contacts, contact groups, and time periods.

Monitoring Hosts and Services:

- Defining hosts to be monitored using host configuration files.
- Configuring services to monitor on each host (e.g., HTTP, FTP, SSH) using service configuration files.
- Understanding host and service states (UP, DOWN, WARNING, CRITICAL, UNKNOWN).

Notifications and Alerts:

- Configuring notification settings to receive alerts for host and service issues.
- Setting up notification methods (email, SMS, etc.) and notification escalations.
- Acknowledging and handling alerts to prevent unnecessary notifications.

Performance Graphs and Reporting:

- Enabling performance data for hosts and services.
- Viewing performance graphs and trend analysis using Nagios Core’s built-in graphs or external tools like PNP4Nagios.
- Generating reports on uptime, downtime, and SLA compliance.

Plugins and Check Commands:

- Understanding Nagios plugins and their role in monitoring.
- Installing and configuring plugins to perform specific checks (e.g., check_http, check_disk).
- Creating custom check commands for specialized monitoring requirements.

Configuration Management:

- Managing Nagios configuration files and directories.
- Using tools like NagiosQL or NConf for web-based configuration management.
- Implementing version control (e.g., Git) for tracking changes to configuration files.

High Availability and Redundancy:

- Implementing high availability for Nagios Core using redundant servers and failover mechanisms.
- Configuring distributed monitoring setups for scalability and load distribution.

Security and Access Control:

- Securing Nagios Core with authentication and authorization mechanisms.
- Implementing SSL/TLS encryption for secure communication.
- Restricting access to the Nagios web interface based on user roles and permissions.

Integration with Other Tools:

- Integrating Nagios with ticketing systems (e.g., JIRA, ServiceNow) for incident management.
- Integrating Nagios with IT automation and orchestration tools (e.g., Ansible, Puppet) for automated remediation.

Best Practices and Troubleshooting:

- Best practices for configuring Nagios for optimal performance and reliability.
- Troubleshooting common issues such as configuration errors, plugin failures, and performance bottlenecks.

Docker implementation

Installation:

- Install Docker Engine on your host machine. Docker provides installation guides for various operating systems, including Linux, macOS, and Windows.

Docker Images:

- Understand Docker images, which are read-only templates used to create Docker containers.
- Pull Docker images from Docker Hub or other container registries, or create custom images using Dockerfiles.

Containers:

- Learn about Docker containers, which are lightweight, portable, and self-sufficient environments that encapsulate an application and its dependencies.
- Create Docker containers from Docker images using the docker run command.

Dockerfiles:

- Write Dockerfiles to define the configuration and dependencies of your Docker images.
- Use Dockerfile instructions such as FROM, RUN, COPY, EXPOSE, and CMD to build Docker images.

Networking:

- Understand Docker networking concepts and the different networking modes available (bridge, host, overlay, macvlan, etc.).
- Configure networking for Docker containers using Docker networking commands (docker network create, docker network connect, docker network inspect, etc.).

Storage:

- Learn about Docker storage drivers and storage options for managing data in Docker containers.
- Utilize Docker volumes to persist data outside of containers and facilitate data sharing between containers.

Container Orchestration (Optional):

- Explore container orchestration platforms like Docker Swarm and Kubernetes for managing and scaling Docker containers in production environments.
- Set up a Docker Swarm cluster or Kubernetes cluster to orchestrate and manage containerized applications.

Docker Compose (Optional):

- Use Docker Compose to define and manage multi-container Docker applications using a YAML configuration file.
- Define services, networks, and volumes in a docker-compose.yml file and use docker-compose commands to manage the application lifecycle.

Security:

- Implement security best practices for Docker, including securing the Docker daemon, using Docker Content Trust (DCT) for image signing, and scanning Docker images for vulnerabilities.
- Configure Docker container runtime security features such as SELinux, AppArmor, and seccomp profiles.

Monitoring and Logging:

- Set up monitoring and logging for Docker containers using tools like Prometheus, Grafana, ELK stack (Elasticsearch, Logstash, Kibana), or Docker’s built-in logging mechanisms.
- Monitor Docker container health, resource usage, and performance metrics to ensure optimal operation.

Continuous Integration/Continuous Deployment (CI/CD) (Optional):

- Integrate Docker into your CI/CD pipeline to automate the building, testing, and deployment of containerized applications.
- Use Docker registries and container orchestration platforms to deploy containers in production environments as part of a CI/CD workflow.

Scaling and High Availability (Optional):

- Design Docker architectures for scalability and high availability using container orchestration platforms like Docker Swarm or Kubernetes.
- Implement container auto-scaling and load balancing to handle varying workloads and ensure application availability.

Kubernetes implementation

Installation:

- Choose a Kubernetes distribution or platform for installation, such as Kubernetes from scratch, managed Kubernetes services (e.g., Amazon EKS, Google Kubernetes Engine, Microsoft Azure Kubernetes Service), or Kubernetes distributions (e.g., kubeadm, kops).
- Install and configure Kubernetes components, including the Kubernetes control plane (API server, controller manager, scheduler), etcd cluster for storing cluster state, and kubelet and kube-proxy on worker nodes.

Cluster Configuration:

- Configure the Kubernetes cluster by defining the cluster topology, networking, authentication, and authorization settings.
- Choose a networking solution for Kubernetes cluster communication and pod networking, such as Kubernetes networking plugins (e.g., Calico, Flannel, Weave Net).

Node Configuration:

- Set up and configure worker nodes (also known as Kubernetes nodes or minions) to join the Kubernetes cluster.
- Install container runtime (e.g., Docker, containerd, cri-o) on worker nodes to run containers.

Pods and Deployments:

- Understand Kubernetes pod and deployment concepts.
- Define and deploy applications as Kubernetes pods and deployments using YAML manifests or Kubernetes API.
- Use kubectl command-line tool to create, manage, and monitor pods and deployments.

Services and Networking:

- Configure Kubernetes services to expose applications running in pods to other pods or external clients.
- Implement service discovery and load balancing using Kubernetes services.
- Configure Ingress resources to expose HTTP and HTTPS routes to services running inside the cluster.

Storage:

- Provision and manage storage for Kubernetes workloads using Kubernetes storage classes, persistent volumes (PVs), and persistent volume claims (PVCs).
- Choose a storage solution for Kubernetes, such as cloud storage (e.g., AWS EBS, Azure Disk, Google Persistent Disk), or container storage solutions (e.g., Rook, OpenEBS).

Secrets and ConfigMaps:

- Manage sensitive information and configuration data using Kubernetes secrets and ConfigMaps.
- Store sensitive data (e.g., passwords, API tokens) securely as Kubernetes secrets.
- Define configuration data (e.g., environment variables, configuration files) as Kubernetes ConfigMaps.

Scaling and Autoscaling:

- Implement horizontal pod autoscaling (HPA) to automatically scale the number of pod replicas based on CPU or custom metrics.
- Configure cluster-level autoscaling using cluster autoscaler to adjust the number of worker nodes dynamically based on resource utilization.

Monitoring and Logging:

- Set up monitoring and logging for Kubernetes clusters using monitoring tools like Prometheus, Grafana, and ELK stack (Elasticsearch, Logstash, Kibana).
- Monitor Kubernetes cluster health, resource usage, and performance metrics.
- Aggregate and analyze logs from Kubernetes pods and nodes for troubleshooting and auditing.

Security:

- Implement security best practices for Kubernetes, including securing the Kubernetes API server, using RBAC (Role-Based Access Control) for authentication and authorization, and enabling network policies for pod-level firewalling.
- Implement container image security scanning and vulnerability management using tools like Clair, Anchore, or Trivy.
- Enable pod security policies (PSPs) to define security constraints for pods.

Backup and Disaster Recovery:

- Implement backup and restore strategies for Kubernetes cluster data, including etcd data backup and application data backup.
- Set up disaster recovery plans and procedures to recover from cluster failures or data loss events.

CI/CD Integration:

- Integrate Kubernetes into your CI/CD pipeline for automated deployment and continuous delivery of containerized applications.
- Use Kubernetes APIs or Kubernetes-native CI/CD tools (e.g., Jenkins X, Argo CD) for deploying and managing applications in Kubernetes clusters.

Ansible

An Ansible training would typically cover the fundamentals of Ansible automation tool and its various components, as well as how to use Ansible for configuration management, orchestration, and automation tasks. Here’s an outline of what such a training might include:

Introduction to Ansible:

- Overview of Ansible as an open-source automation tool.
- Understanding the benefits of Ansible for configuration management, orchestration, and automation.

Installation and Setup:

- Installing Ansible on control nodes (Linux, macOS, Windows).
- Configuring Ansible hosts file and inventory to define managed nodes.

Ansible Architecture:

- Understanding Ansible architecture: control node, managed nodes, inventory, modules, plugins.
- Overview of Ansible components: Ansible Playbooks, Ansible roles, Ansible Vault.

Ansible Playbooks:

- Writing YAML-based Ansible Playbooks to define automation tasks and configurations.
- Understanding Ansible tasks, plays, handlers, variables, and conditionals.
- Organizing Playbooks and reusable tasks using roles.

Ansible Modules:

- Exploring Ansible modules for system administration tasks (e.g., file, package, service, user).
- Using Ansible modules to interact with infrastructure components (e.g., AWS, Azure, Docker, Kubernetes).
- Writing custom Ansible modules for specialized tasks.

Ansible Inventory:

- Managing inventory files to define groups of hosts and host variables.
- Using dynamic inventory plugins for dynamic infrastructure environments (e.g., AWS, GCP, Azure).
- Grouping hosts and applying configurations based on inventory structure.

Ansible Roles:

- Creating reusable Ansible roles to organize and encapsulate configuration tasks.
- Structuring Ansible roles with tasks, handlers, templates, files, and defaults.
- Sharing Ansible roles with the Ansible community and using roles from Ansible Galaxy.

Ansible Vault:

- Securing sensitive data (e.g., passwords, API keys) using Ansible Vault.
- Encrypting and decrypting files with Ansible Vault for secure storage and transmission.
- Integrating Ansible Vault with Playbooks and roles to manage encrypted variables.

Ansible Best Practices:

- Following best practices for writing efficient and maintainable Ansible Playbooks and roles.
- Implementing idempotent tasks and idempotent Playbooks for predictable and reliable automation.
- Testing and validating Ansible Playbooks using Ansible linting, syntax checking, and dry runs.

Ansible Tower (Optional):

- Introduction to Ansible Tower as a web-based UI and management console for Ansible.
- Managing inventory, Playbooks, and job templates in Ansible Tower.
- Implementing role-based access control (RBAC), scheduling automation jobs, and monitoring Ansible workflows.

Integration with CI/CD Pipelines:

- Integrating Ansible with CI/CD pipelines (e.g., Jenkins, GitLab CI) for automated deployment and infrastructure provisioning.
- Using Ansible as part of a continuous integration and continuous delivery (CI/CD) workflow for infrastructure as code (IaC).

Real-world Use Cases and Examples:

- Hands-on exercises and labs to apply Ansible automation to real-world scenarios.
- Building Ansible Playbooks and roles to automate common system administration tasks, application deployments, and infrastructure provisioning.

Terraform

A Terraform training typically covers the basics of infrastructure as code (IaC), Terraform architecture, configuration language, and best practices for managing infrastructure using Terraform. Here’s an outline of what such a training might include:

Introduction to Terraform:

- Overview of infrastructure as code (IaC) and its benefits.
- Introduction to Terraform as an open-source IaC tool for building, changing, and versioning infrastructure.

Installation and Setup:

- Installing Terraform on different platforms (Linux, macOS, Windows).
- Setting up Terraform configuration files and directories.

Terraform Basics:

- Understanding Terraform workflow: init, plan, apply, destroy.
- Exploring Terraform CLI commands and options.
- Initializing a Terraform project with terraform init.

Terraform Configuration Language:

- Learning HCL (HashiCorp Configuration Language) syntax for defining infrastructure as code.
- Writing Terraform configuration files (.tf) to describe infrastructure resources, providers, and variables.
- Using Terraform blocks, resources, data sources, variables, and outputs.

Providers and Resources:

- Understanding Terraform providers and their role in managing infrastructure resources (e.g., AWS, Azure, Google Cloud).
- Exploring provider documentation and available resources (e.g., EC2 instances, S3 buckets, VPCs).
- Configuring provider credentials and authentication mechanisms.

Terraform State:

- Understanding Terraform state files and their importance in tracking infrastructure state.
- Managing Terraform state: local state vs. remote state (e.g., using backend services like Terraform Cloud, AWS S3, Azure Blob Storage).
- Implementing state locking and concurrency control for collaborative environments.

Variables and Input:

- Using Terraform variables to parameterize configurations and make them reusable.
- Defining input variables and output variables in Terraform configuration files.
- Organizing variables in Terraform modules for modular and reusable infrastructure.

Terraform Modules:

- Creating and using Terraform modules to encapsulate and reuse configurations.
- Structuring Terraform modules with input variables, output variables, and resources.
- Publishing and sharing Terraform modules using Terraform Registry or version control repositories.

Terraform Workflow:

- Implementing Terraform workflow best practices: initializing, planning, applying, and destroying infrastructure.
- Using Terraform workspaces to manage multiple environments (e.g., development, staging, production).
- Handling infrastructure updates and changes with Terraform plan and apply.

Terraform Best Practices:

- Following Terraform best practices for writing clean, maintainable, and efficient configuration code.
- Implementing infrastructure as code (IaC) principles: idempotency, repeatability, and consistency.
- Using Terraform testing frameworks and tools for testing infrastructure configurations.

Advanced Topics:

- Exploring advanced Terraform features and functionalities (e.g., remote backends, provisioners, modules composition).
- Integrating Terraform with other tools and services (e.g., CI/CD pipelines, configuration management tools).
- Managing infrastructure changes with Terraform state management strategies (e.g., import, state migration).

Real-world Use Cases and Examples:

- Hands-on labs and exercises to apply Terraform to real-world infrastructure scenarios.
- Building Terraform configurations for provisioning cloud resources, networking infrastructure, and application deployments.

Learn Industry Linux AWS devops Combo with Training, Certification & Guaranteed Job Placement Assistance!

Online Batches Available for the Areas

INDUSTRY LINUX AWS DEVOPS COMBO

100% Placement Guarantee for the Right Candidate

10+ Years Real Time Experienced Trainers

Learn from Industry Experts, Hands-on labs

Flexible Options: online, instructor-led, self-paced

14+ Years of Industry Recognitions

1 Lakh+ Students Trained

50,000+ Students Placed

Guaranteed 5+ Interview Calls

Top MNCs - Associated with 800+ Recruiters

Free Internship Project & Certification

Monthly Job Fair - Virtual as well as Physica

5000+ Reviews & Ratings

Learn Industry Linux AWS devops Combo with Training, Certification & Guaranteed Job Placement Assistance!

Our Courses

Drop A Query

Get a Call Back from Our Career Assistance Team

Enquire Now

Enquire Now & Get 10% Off!

(Our Team will call you to discuss the Fees)

Enquire Now & Get 10% Off!

(Our Team will call you to discuss the Fees)

Get a Call Back from Our Career Assistance Team

Enquire Now

INDUSTRY LINUX AWS DEVOPS COMBO

100% Placement Guarantee for the Right Candidate

10+ Years Real Time Experienced Trainers

Learn from Industry Experts, Hands-on labs

Flexible Options: online, instructor-led, self-paced

14+ Years of Industry Recognitions

1 Lakh+ Students Trained

50,000+ Students Placed

Guaranteed 5+ Interview Calls

Top MNCs - Associated with 800+ Recruiters

Free Internship Project & Certification

Monthly Job Fair - Virtual as well as Physica

5000+ Reviews & Ratings

Learn Industry Linux AWS devops Combo with Training, Certification & Guaranteed Job Placement Assistance!

Our Courses

Drop A Query

Get a Call Back from Our Career Assistance Team

Enquire Now

Enquire Now

Decourse fees

Enquire Now & Get 10% Off!

(Our Team will call you to discuss the Fees)

Enquire Now & Get 10% Off!

(Our Team will call you to discuss the Fees)

Get a Call Back from Our Career Assistance Team

Enquire Now