DevOps With AWS Cloud

Become a high-demand Cloud DevOps Engineer. Gain hands-on experience with AWS services, CI/CD pipelines, and infrastructure automation.

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Detailed DevOps With AWS Pathway

Designed by industry expert Nagi Reddy, our curriculum bridges the gap between theory and practice with comprehensive, zero-to-hero training

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DevOps Introduction

Getting Started with DevOps Concepts
Exploring the Software Development Life Cycle (SDLC)
The Waterfall Approach in Traditional SDLC
Introduction to Agile Methodology
Understanding the Scrum Framework
Sprint and Iteration Cycles in Agile Development
What is DevOps? A Cultural and Technical Transformation
Why DevOps? Key Benefits and Drivers
The Importance of DevOps in Today’s IT Ecosystem
DevOps Operating Model Explained
Phases of the DevOps Lifecycle
DevOps in the Job Market – Roles and Opportunities
Common DevOps Tools and Technologies

Linux

Git, GitHub, BitBucket

Maven

Apache Tomcat

Apache web server - Nginx Web Server

SonarQube

1. Introduction to Code Quality

Importance of code quality in software development
What is Static Code Analysis?
Key benefits of using static code analysis tools

2. Overview of SonarQube

What is SonarQube?
Use cases in DevOps and CI/CD
SonarQube Architecture (Scanner, Server, Database, UI)
Supported languages and integration support (Maven, Gradle, Jenkins, etc.)

3. Installing and Setting up SonarQube

System Requirements
Installation on Linux/Windows
Installing SonarQube using Docker
Setting up PostgreSQL for SonarQube
Running SonarQube Server and accessing the dashboard

4. SonarQube Configuration

Creating Projects manually and auto-binding
Generating and configuring authentication tokens
Project settings – quality profiles and quality gates
Understanding rules, severities, and customizations

5. Integrating SonarQube with Build Tools

SonarQube with Maven (sonar:sonar command)
SonarQube with Gradle
SonarQube Scanner CLI for other languages
Working with .properties file for configuration

6. SonarQube with Jenkins (CI/CD Pipeline Integration)

Installing SonarQube Scanner Plugin in Jenkins
Integrating analysis in Jenkins Pipeline
Publishing results in Jenkins UI
Breaking builds using quality gate status

7. Analyzing Results & Dashboards

Understanding metrics: Bugs, Vulnerabilities, Code Smells, Coverage, Duplication
Using the dashboard effectively
Drill-down into issues and suggestions
Code history and trend reports

8. Managing Quality Gates and Profiles

Creating custom quality gates
Defining thresholds for coverage, bugs, etc.
Creating and assigning custom quality profiles
Best practices in quality gate design

9. Advanced Topics (Optional)

Integrating with GitHub, Bitbucket, GitLab
Using Webhooks and notifications
Setting up Branch analysis
LDAP integration and user management

10. Real-Time Use Cases & Best Practices

Real-world CI pipeline with SonarQube
Handling common issues and misconfigurations
Writing clean code with SonarLint
Ensuring continuous inspection in teams

Nexus

Jenkins

Jenkins Fundamentals & CI/CD Concepts

What is Jenkins?
- Open-source automation server for building, testing, and deploying applications
Understanding CI/CD Pipelines
- CI: Automate code integration, build verification
- CD: Continuous Delivery vs Deployment – key differences
Real-Time DevOps Use Cases
- Microservices deployments, Infrastructure as Code automation, test automation triggers

Jenkins Installation & System Bootstrapping

Cross-Platform Installation
- Linux-based deployment (with systemd)
- Jenkins setup on containers (Docker-based approach)
Initial Configuration
- Admin password setup, plugin recommendations
Jenkins Home & Directory Overview
- Workspace, job history, plugin cache

Build Jobs, Maven & Toolchain Integration

Creating Build Jobs
- Freestyle project setup for Java builds
Maven Integration
- Set global tool configurations, define Maven installation paths
Artifact Repository Integration
- Upload artifacts to Nexus/Artifactory
Code Quality Integration
- Connect SonarQube server, analyze code post-build

Application Deployment Automation

Deploy to Web Servers
- Use “Deploy to Container” plugin for Tomcat
- SSH-based scripted deployment with credentials plugin
Integrate Notifications & Hooks
- Slack alerts via webhook token
- Git SCM polling, CRON-based triggers
- GitHub Webhook payload configuration

Build Lifecycle & Output Control

Retention & Cleanup Strategies
- Discard old builds, clear workspace
Enhance Console Logs
- Timestamps, ANSI coloring plugins
Test Coverage Analysis
- JACOCO or Cobertura plugin configuration

Plugin Ecosystem & Jenkins Enhancements

Plugin Management
- Plugin Manager, safe restarts
Essential Integrations
- BlueOcean, SSH Agent, Publish Over SSH
- Thin Backup, Email Ext, Role-Based Access Strategy
Job Conversion & Efficiency
- Convert Freestyle jobs to pipeline jobs
- Next build number plugin, workspace cleanup

Jenkins Security & Role-Based Access Control

User Authentication & Authorization
- Enable security realm, create users
Granular Access Control
- Role-based access plugin
- Project-based Matrix Authorization
Auditing Best Practices
- Jenkins log inspection, access logs

Views, Parameters & Integration Tools

Job Organization with Views
- MyView, List View
Parameterized Builds
- Add string, boolean, and choice parameters
External Tools & Plugins
- Install plugins for Ansible, Blue Ocean, Docker, or Terraform

Jenkins Pipeline (Scripted & Declarative)

Understanding Pipeline as Code
- Scripted vs Declarative Syntax
Jenkinsfile Authoring
- Add to project repo, syntax validation
Pipeline Features
- Parameters, post-actions, parallel stages
Multibranch Pipeline Projects
- Auto-discover branches, PR builds
Shared Libraries
- Reuse common pipeline logic across teams

Jenkins Administration & Real-Time DevOps Execution

CI/CD Pipelines for Microservices/Java Apps
- Build, test, deploy to Kubernetes or VMs
Master-Agent Architecture
- Set up agents (static/dynamic), node labels
Backup, Restore & Migration
- Jenkins ThinBackup or script-based backup strategy
- Server migration (old to new Jenkins)
Real-Time Pipeline Examples
- Real time declarative scripts for end to end application flows

Ansible

Ansible Fundamentals

What is Ansible?
- Open-source IT automation engine for configuration management, application deployment, and orchestration
Ansible’s Role in DevOps Pipelines
- Automates repetitive tasks, enforces environment consistency, and accelerates delivery cycles
Key Advantage: Agentless Automation
- Uses SSH (Linux) and WinRM (Windows) without needing agent installations on managed nodes

Core Architectural Concepts

Foundations of Configuration as Code (CaC)
- Maintain infrastructure consistency through declarative definitions
Notable Features of Ansible
- Idempotency, YAML simplicity, extensibility via custom modules
Ansible Component Overview
- Control Node (execution hub)
- Managed Hosts (target nodes)
- Modules, Plugins, Connection Types, and Collections

Inventory & Installation

Defining Host Inventory
- Static INI/YAML files and Dynamic Inventory via cloud plugins (AWS, Azure, GCP)
Ansible Setup
- Installing via package managers (yum, apt, pip)
- Using virtual environments for version control
Directory Layout Best Practices
- /etc/ansible, project-specific inventory files, role-based structure

CLI Mastery & Modules

Essential Ansible Commands
- ansible, ansible-playbook, ansible-config, ansible-doc, ansible-inventory
Verifying Infrastructure Reachability
- Inventory validation with ping module and ad-hoc command execution
Module Categories
- System (copy, file), Package (yum, apt), Service (systemd), Cloud (ec2, gcp_compute)

Playbook Engineering

Crafting Declarative Playbooks
- YAML-based syntax for structured automation tasks
Anatomy of a Playbook
- Plays $\rightarrow$ Tasks $\rightarrow$ Modules $\rightarrow$ Handlers
Execution Controls
- Tags for selective task execution
- Error handling and retries
- Handlers to trigger on change

Variables, Loops & Logic

Hierarchical Variable Precedence
- Host, Group, Playbook-level, Environment variables
Variable Declarations
- vars, vars_files, vars_prompt, host_vars/group_vars
Control Structures
- Loops: loop, with_items, with_dict
- Conditionals: when, failed_when, changed_when
Combining Logic for Dynamic Automation

Secrets & Secure Automation

Introduction to Ansible Vault
- Encrypt variables, files, or entire playbooks
Creating & Managing Encrypted Files
- Vault CLI usage: ansible-vault create/view/edit
Vault Key Handling
- Vault password files and environment variable integration

Modularization with Roles

Role-Based Directory Structure
- Break down complex playbooks into reusable components
Refactoring Playbooks into Roles
- Defaults, vars, tasks, handlers, templates, and meta
Best Practices for Role Usage in Projects
- Role dependencies, using Galaxy roles, importing custom logic

Dynamic Inventory & Cloud Integration

Scaling Beyond Static Inventory
- Query live infrastructure with dynamic inventory scripts/plugins
Cloud Integrations
- Use AWS EC2, Azure Resource Manager, and GCP inventory plugins for auto-discovery
Managing Inventory Sources in Production
- Configuring inventory plugins via ansible.cfg and inventory.yaml

Docker

Introduction to Docker & Containerization Concepts

Overview of Docker Technology
- Understanding containerization fundamentals and its impact on modern software development.
Containers vs. Traditional Virtual Machines
- Exploring lightweight, portable containers compared to resource-heavy virtual machines.
Docker’s Role in DevOps and Cloud Native Environments
- How Docker streamlines CI/CD pipelines, microservices deployment, and scalability.
Real-World Use Cases and Industry Adoption
- Examining Docker’s application in development, testing, and production environments.
Evolution of Application Deployment: Pre-Docker vs Post-Docker
- Challenges of legacy deployment methods versus container-driven agility.

Docker Installation & Core Architecture

Installing Docker Across Various Operating Systems
- Step-by-step guidance for Linux, Windows, and macOS installations.
Deep Dive into Docker Architecture
- Components including Docker Engine, Docker Daemon, CLI, REST API, and container runtime.
Container Lifecycle and Docker’s Operational Flow
- How Docker builds, runs, and manages containerized applications.

Essential Docker CLI Commands & Container Management

Core Docker CLI Commands
- Running containers (docker run), listing (docker ps), executing (docker exec), logs (docker logs).
Image and Container Lifecycle Management
- Creating, tagging, removing images, and managing container states (start, stop, pause).
Inspecting and Debugging Containers
- Using docker inspect, monitoring resource usage, and troubleshooting tips.

Dockerfile Mastery & Custom Image Creation

Understanding Dockerfiles and Their Purpose
- Declarative instructions to automate image creation.
Detailed Exploration of Dockerfile Instructions
- FROM, RUN, COPY, ADD, CMD, ENTRYPOINT, ENV, VOLUME, EXPOSE, and best practices.
Building and Optimizing Custom Docker Images
- Layer caching, minimizing image size, and multi-stage builds.
Hands-On Dockerfile Examples
- Creating Dockerfiles for Node.js, Python, Java applications.

Core Docker Objects & Networking Essentials

Docker Images and Containers Explained
- Immutable image layers vs. running container instances.
Networking in Docker
- Understanding network drivers: bridge, host, overlay, macvlan.
Persistent Storage with Docker Volumes and Bind Mounts
- Managing data persistence beyond container lifecycle.

Docker Registries & Image Distribution

Introduction to Docker Registries
- Central repositories for storing and sharing container images.
Working with Docker Hub
- Pushing, pulling, and managing public/private images.
Private Registries & Cloud Integration
- Using AWS ECR, Azure Container Registry (ACR), Google Container Registry (GCR).

Docker Compose & Multi-Container Orchestration

Introduction to Docker Compose
- Defining and managing multi-container applications with docker-compose.yml.
Compose File Syntax and Configuration
- Services, networks, volumes, environment variables, dependencies.
Running and Managing Compose Applications
- Commands like docker-compose up, down, logs, scaling services.
Practical Example: Deploying a Web Application with Database
- Building a multi-service stack to demonstrate real-world orchestration.

Trivy

Kubernetes

Introduction & Core Concepts

Fundamentals of Kubernetes and Container Orchestration
Kubernetes System Components & Control Plane Architecture
Bootstrapping a Kubernetes Cluster Using kubeadm
Namespaces: Multi-Tenancy and Resource Isolation
Overview of Kubernetes Workloads and API Objects

Core Workload Controllers

Understanding Pods: The Smallest Deployable Unit
ReplicationController & ReplicaSet: Ensuring Desired Pod State
DaemonSets: Running System-Level Pods on Every Node
StatefulSets: Managing Stateful Applications with Identity and Storage

Storage & Configuration Management

ClusterIP, NodePort, and LoadBalancer Services
PersistentVolumes (PV) and PersistentVolumeClaims (PVC)
Dynamic Volume Provisioning with StorageClasses
ConfigMaps & Secrets for Decoupled Configuration and Secure Data Injection

Kubernetes Deployment Strategies

Recreate vs RollingUpdate Deployments
Blue-Green Deployment Strategy
Canary Releases: Progressive Delivery with Fine-Grained Control
A/B Testing Deployments: Feature Validation at Scale
Shadow Deployment: Silent Traffic Mirroring for Safe Testing

Monitoring, Health Checks & Autoscaling

Horizontal Pod Autoscaler (HPA) with Metrics Server Integration
Resource Metrics Collection & Auto-tuning Workloads
Liveness and Readiness Probes: Application Health & Availability

Scheduling & Node Operations

Pod Scheduling via NodeSelector & Node Affinity Rules
Pod Affinity and Anti-Affinity: Intelligent Placement Strategies
Taints and Tolerations: Controlling Pod Placement with Constraints
Node Lifecycle Operations: Cordon, Drain, and Uncordon
Advanced Scheduling Policies and Priorities

Security, Policies & Resource Governance

ResourceQuota and LimitRange for Resource Consumption Control
Kubernetes Role-Based Access Control (RBAC): Managing User Permissions
NetworkPolicies: Enforcing Layer 3/4 Network Segmentation
Pod Security Context and Security Best Practices

Kubernetes on Cloud & Traffic Management

Provisioning a Managed Kubernetes Cluster with Amazon EKS
Configuring Kubernetes Services for External Access
Ingress Controller & Ingress Resource for HTTP Routing & TLS Termination

Continuous Delivery & Helm

CI/CD Pipeline Integration with Jenkins and Kubernetes
Packaging and Deploying Applications using Helm Charts
Managing Application Releases and Rollbacks via Helm

Observability & Logging

Cluster Monitoring with Prometheus and Grafana Dashboards
Centralized Logging with the EFK Stack:
- Elasticsearch for Log Storage & Search
- Fluentd for Log Aggregation
- Kibana for Visualization

Logging (Grafana and Prometheus)

AWS

Terraform

ntroduction to Infrastructure as Code (IaC)

Terraform Overview: HashiCorp’s Open-Source IaC Tool
Advantages & Limitations of Terraform in Multi-Cloud Environments
Terraform’s Declarative Syntax for Infrastructure Automation
Comparative Analysis: Terraform vs Alternatives (Pulumi, AWS CDK, Ansible, CloudFormation)
Real-World Use Cases of Terraform in DevOps Pipelines & CI/CD

Terraform Setup & Initialization

Terraform Installation: CLI Tools on Windows/Linux/macOS
Initializing Terraform Workspace & Execution Environment
Deploying Your First Terraform Configuration File

Core Components of Terraform

Terraform Providers: Cloud Vendor SDK Integrations (AWS, Azure, GCP)
Terraform Registry: Public Modules & Provider Repository
Terraform Resources: Defining Infrastructure Blocks (compute, networking, storage)
Terraform Modules: Reusable Configuration Constructs (Intro only)

Terraform CLI & Execution Lifecycle

terraform init – Provider Plugin Initialization
terraform validate – Syntax and Logical Validation
terraform plan – Execution Plan Preview
terraform apply – Infrastructure Provisioning
terraform destroy – Tear Down Resources

Resource Management & Configuration

Updating & Reconfiguring Resources After Deployment
Adding and Switching Between Multiple Providers
Managing Terraform State Files: Local vs Remote Backend

HashiCorp Configuration Language (HCL) Essentials

Syntax Patterns and Style Guidelines in HCL
Meta-Arguments in HCL:
- depends_on – Resource Dependency Ordering
- count – Resource Scaling
- for_each – Iterative Resource Creation
- provider – Specifying Cloud Providers
- lifecycle – Resource Lifecycle Control (create_before_destroy, prevent_destroy)