1. Traditional Software Development Models: 

• • • Introduction to the Waterfall Model
    • Key Phases of the Waterfall Model (Requirements, Design, Implementation, Testing, Deployment, Maintenance)
    • Case Studies: When and Where Waterfall Model Worked

2. Limitations and Challenges of Traditional Models: 

• • • Rigidity in Process
    • Late Testing and Bug Discovery
    • Limited Feedback Loops
    • Impact on Delivery Timelines

3. Introduction to Agile Methodology: 

• • • Core Principles of Agile (Iterative Development, Customer Collaboration, Responding to Change)
    • Comparison: Agile vs. Waterfall

4. Advantages of Agile Development: 

• • • Enhanced Flexibility and Adaptability
    • Continuous Delivery and Shorter Development Cycles
    • Improved Team Collaboration and Communication

5. Challenges for Operations Teams in Agile Environments: 

• • • Frequent Deployments and Build Issues
    • Resource Provisioning Delays
    • Managing Configuration Drift
    • Lack of Unified Tools Across Dev and Ops

6. Introduction to DevOps: 

• • • Key Principles of DevOps: Collaboration, Automation
    • CI/CD
    • Monitoring
    • IaaC
    • Benefits of DevOps
    • DevOps tools Intro: Git, Jenkins, Ansible, Terraform, Docker and Kubernetes
    • Case Studies: Capital One, Netflix, Target, and Etsy

Version Control Mastery: A Deep Dive into Git

1. Basics of Git: 

• • • A brief history of Version Control Systems
    • Introduction to Git

2. Deploying Git: 

• • • Installation of Git on Windows and Linux systems
    • Git initial setup

3. Git Basic Commands: 

• • • Fundamentals of Git

4. Centralized Git Repository: 

• • • Setting up Github Account
    • Pull and Push to Github repository

5. The Art of Git Branching: 

• • • Git Branches
    • Rebase
    • Merge
    • Cherry-Pick
    • Conflict Resolution with Git

6. Git Stashing Techniques: 

• • • Understanding and using stash

7. Git Rollback Techniques: 

• • • Reset, Revert & Restore

Docker Unleashed

1. Understanding App Architectures and the Shift to Containers: 

• • • Understanding Modern Applications: Monolithic vs Microlithic
    • Virtualization vs. Containerization: Understanding the Core Difference
    • Docker & CRI Demystified

2. Docker Introduction and Command Basics: 

• • • Deploying Docker
    • Docker Commands 101

3. Crafting Perfect Docker Container Images: 

• • • Containers vs. Images: Demystifying Docker Essentials

4. Docker Hub & Registries: 

• • • Understanding Central Container Repository
    • Docker Image Creation and Publishing to Central Repositories

5. Running Multi-Container Apps with Docker Compose: 

• • • Creating Images using Docker Compose
    • Running Containers using Docker Compose

6. Orchestrating Containers with Docker Swarm: 

• • • Creating Cluster using Docker Swarm
    • Scaling Containers in Docker Swarm
    • Rolling Update and Rollback of Containers in Docker Swarm

7. Docker Networking and Storage Essentials: 

• • • Networking Docker Containers
    • Docker Storage for Containers

Kubernetes Deep Dive

1. Introduction to Kubernetes: 

• • • Overview of Kubernetes as a container orchestration platform
    • Key features and advantages of Kubernetes
    • Brief history and evolution of Kubernetes
    • Common use cases and industries using Kubernetes

2. Kubernetes Architecture: 

• • • High-level architecture overview: Control Plane and Node components
    • Interaction between Kubernetes components
    • Overview of key Kubernetes objects: Pods, Services, Deployments, ConfigMaps, and Secrets

3. Control Plane Components: 

• • • Introduction to kubectl and its role in interacting with the Kubernetes cluster
    • Kube API Server: Central management entity of the cluster
    • Kube Controller Manager : Role in maintaining the desired state of the cluster
    • Kube Scheduler : Process of scheduling Pods to Nodes
    • Kube Proxy : Role in networking and ensuring communication within the cluster

4. Node Components: 

• • • Kubelet : Node agent for managing Pod lifecycle
    • Container Runtime Interface (CRI)

5. Installing Kubernetes Tools: 

• • • Installing and configuring Kubeadm
    • Getting started with Minikube for local Kubernetes clusters
    • Setting up CRI-O as a container runtime

6. Creating Your First Pod: 

• • • Writing a simple Pod manifest file
    • Deploying the Pod and troubleshooting common issues
    • Understanding the Pod lifecycle and status

7. Working with Services in Kubernetes: 

• • • Introduction to Services and their types (ClusterIP, NodePort, Load Balancer)
    • Creating and exposing a Service to access Pods
    • Concepts of Endpoints and Service Discovery

8. Deployments in Kubernetes: 

• • • Writing Deployment manifests for scalable applications
    • Managing rollouts and rollbacks using Deployments
    • Understanding the relationship between Deployments and Replica Sets

9. AWS Container Orchestration: 

• • • Overview of ECS Cluster and its components
    • Differences between ECS and Kubernetes
    • Setting up an EKS Cluster using the AWS Management Console and CLI

10. Working with ECR Repository: 

• • • Introduction to Amazon Elastic Container Registry (ECR)
    • Building and pushing Docker images to ECR

11. Using ECR Images in EKS: 

• • • Configuring Kubernetes to pull images from ECR
    • Creating and running Pods using ECR images in an EKS cluster

12. Replica Sets and StatefulSets: 

• • • Differences between Replica Sets, Deployments, and StatefulSets
    • Use cases for StatefulSets in managing stateful applications

13. Ingress Controllers: 

• • • Understanding Ingress for HTTP and HTTPS routing

14. CoreDNS: 

• • • Role of CoreDNS in Service Discovery and DNS management within Kubernetes

Configuration Management with Ansible

1. Fundamentals of Ansible: 

• • • Introduction to Configuration Management
    • Concepts of Configuration-as-Code
    • Intro to Ansible
    • Installing Ansible and Lab Setup

2. Basic Ansible Configurations: 

• • • Understanding the Configuration File
    • Inventory File Basics

3. Getting started with Ansible Automation : 

• • • Introduction to ad-hoc tasks
    • Common commands for quick automation

4. Advance Configuration Automation with Ansible: 

• • • Creating Your First Playbook in YAML
    • Playbook for Cloud Provisioning

5. Advance Concepts of Ansible: 

• • • Understanding Roles
    • Using Variables in Ansible

Building Cloud Infrastructure with Terraform

1. Introduction to Infrastructure as Code (IaC): 

• • • Understanding IaC and its benefits
    • Comparison of Terraform with other IaC tools

2. Introduction to Terraform: 

• • • What is Terraform?
    • Key features: architecture, and use cases.

3. Installing Terraform and Lab Setup: 

• • • Step-by-step installation on Windows/Linux/Mac
    • Setting up a lab environment with cloud providers

4. Terraform Basics: 

• • • Terraform workflow: init, plan, apply & destroy
    • Writing your first Terraform configuration file

5. Understanding Providers: 

• • • What are providers?
    • Configuring and using cloud providers (AWS, Azure, GCP)

6. Variables and Outputs: 

• • • Defining variables for dynamic configurations
    • Using outputs for exporting information

7. State Management: 

• • • Terraform state and its importance
    • Remote state storage and locking mechanisms

8. Terraform Best Practices: 

• • • Writing clean and modular code
    • Version control and collaboration tips

Prometheus and Grafana

1. Introduction to Monitoring: 

• • • Importance of monitoring in modern infrastructure
    • Types of monitoring: system, application, and business metrics

2. Overview of Prometheus and Grafana: 

• • • Prometheus: an open-source monitoring and alerting toolkit designed for reliability
    • Grafana: an open-source visualization tool used to display metrics stored by Prometheus

3. Installing Prometheus: 

• • • Steps to install Prometheus on different environments (Linux, Docker)
    • Prometheus configuration (prometheus.yml)

4. Configuring Prometheus to scrape metrics: 

• • • Setting up Prometheus to scrape metrics from a sample application
    • Explanation of targets in Prometheus configuration
    • Introduction to Prometheus metrics types: Counter, Gauge, Histogram & Summary
    • Overview of Prometheus Web UI (Prometheus Query Language – PromQL)

5. Introduction to Grafana and Integrating with Prometheus: 

• • • Steps to install Grafana on different environments (Linux, Docker)
    • Adding Prometheus as a data source in Grafana
    • Overview of Grafana dashboards and panels

6. Creating Basic Grafana Dashboards: 

• • • How to create a dashboard and add panels
    • Using PromQL queries in Grafana panels
    • Introduction to common Grafana visualizations (Graph, Gauge, Table)

Simplifying Java Builds with Maven

1. Introduction to Maven: 

• • • Overview of Maven and its purpose (build automation tool)
    • Maven vs. other build tools (e.g., Gradle, Ant)
    • The importance of dependency management and project automation

2. Maven Architecture and Concepts: 

• • • Understanding Maven’s architecture: Project Object Model (POM)
    • Repositories
    • Plugins
    • Explanation of a typical Maven project structure (src, target, pom.xml)
    • Introduction to Maven lifecycle (clean, default, site phases)

3. Setting Up Maven: 

• • • Steps to install Maven on different environments (Windows, Linux, macOS)
    • Verifying the installation with mvn -version

4. Hands-On Lab: 

• • • Step-by-step guide to create a simple Java project using Maven
    • Setting up a pom.xml file with dependencies
    • Running Maven commands to compile, test, and package the project

Optimizing Code Quality with SonarQube

1. Introduction to SonarQube: 

• • • Overview of SonarQube as a code quality and security management tool
    • Key benefits of using SonarQube in a CI/CD pipeline
    • SonarQube vs. other static analysis tools (e.g., ESLint, Checkstyle)

2. Core Features of SonarQube: 

• • • Code Quality: Finding bugs, vulnerabilities and code smells
    • Continuous Inspection: Real-time feedback on code quality
    • Languages and frameworks supported by SonarQube
    • Integrations with popular CI tools (Jenkins, GitLab, GitHub Actions)

3. Installing SonarQube: 

• • • Prerequisites for SonarQube installation (Java, database, etc.)
    • Step-by-step guide to installing SonarQube locally or on a server (Docker and non-Docker setups)
    • Running SonarQube and accessing the Web UI

4. Configuring SonarQube: 

• • • Creating a project in SonarQube and configuring basic settings
    • Overview of SonarQube’s dashboard: project overview, issues, measures, and more
    • Setting up the SonarQube scanner to analyze your codebase

5. Viewing Reports and Analyzing Results: 

• • • Understanding SonarQube’s analysis reports
    • Navigating through issues: bugs, vulnerabilities, code smells
    • Reviewing code coverage and test reports

Jenkins for CI/CD

1. Introductio
2. n to Jenkins: 

• • • What is Jenkins?
    • Features and advantages of Jenkins in CI/CD pipelines
    • Overview of continuous integration and continuous delivery concepts

2. Installing Jenkins and Lab Setup: 

• • • Jenkins installation on Windows/Linux/Mac
    • Setting up the lab environment for practical sessions

3. Jenkins Dashboard Overview: 

• • • Navigating the Jenkins UI
    • Understanding jobs, builds, and pipelines

4. Creating Your First Jenkins Job: 

• • • Setting up a freestyle project
    • Running builds and analyzing results

5. Understanding Plugins in Jenkins: 

• • • Role of plugins in extending Jenkins functionality
    • Installing and managing plugins

6. Source Code Integration: 

• • • Connecting Jenkins with Git/GitHub repositories
    • Automating builds with webhooks

7. Build Triggers: 

• • • Setting up build triggers: manual, scheduled, and SCM polling
    • Automating pipelines with event-driven triggers

8. Working with Credentials: 

• • • Managing credentials in Jenkins securely
    • Using credentials in pipelines and jobs

9. Jenkins Pipeline Basics: 

• • • Introduction to pipelines: declarative vs. scripted
    • Writing your first Jenkinsfile

10. Project: Building a CI/CD Pipeline: 

• • • • Hands-on project to automate a complete CI/CD workflow