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This is a focused 5-month DevOps learning plan, covering stable, widely-used tools, with each month building on the previous ones.

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DevOps 5 months Study plan.md

5-Month DevOps Learning Plan

This is a focused 5-month DevOps learning plan, covering stable, widely-used tools, with each month building on the previous ones.

Month 1: Foundations of Linux, Shell Scripting, and Git

Goal: Master the core operating system and version control skills essential for DevOps.

Linux Basics
- Learn fundamental Linux commands and permissions, process management, and file systems.
- Practice with tools like Bash for shell scripting.
- Recommended Resources: Linux Academy, LinuxCommand.org
Shell Scripting
- Practice creating scripts for common tasks (e.g., managing users, monitoring processes).
- Focus on writing automation scripts that handle log management, backups, and monitoring.
Git (Version Control)
- Learn version control using Git and practice working with GitHub and GitLab.
- Get familiar with branching strategies, merging, pull requests, and resolving conflicts.
- Recommended Resources: Pro Git book, GitHub Learning Lab
Hands-on Practice:
- Create a Git repository for storing your scripts and practicing version control.
- Implement automation tasks on a Linux VM or container to gain hands-on experience.

Month 2: CI/CD with Jenkins and GitHub Actions

Goal: Learn continuous integration and continuous deployment (CI/CD) pipelines with Jenkins and GitHub Actions.

Jenkins (CI/CD)
- Set up Jenkins and understand job configurations, pipelines, and plugins.
- Practice creating a CI pipeline for a simple application, focusing on automated builds and testing.
GitHub Actions
- Explore GitHub Actions and learn to create workflows for CI/CD processes.
- Create an Action to automate tasks, such as testing code and deploying to staging.
Pipeline Best Practices
- Study pipeline optimization, test automation, and notifications for CI/CD.
Hands-on Practice:
- Configure Jenkins and GitHub Actions workflows to build and test a simple web app.
- Automate deployment from staging to production for practice.

Month 3: Containerization with Docker

Goal: Understand the principles of containerization and gain hands-on experience with Docker.

Docker Basics
- Learn about containerization, Docker architecture, and key Docker commands.
- Create, manage, and deploy Docker containers from images.
Dockerfile and Docker Compose
- Write Dockerfiles to create custom images.
- Use Docker Compose to define and run multi-container applications.
Container Management
- Explore Docker networking, volumes, and managing containers.
Hands-on Practice:
- Containerize a simple web app, creating a Dockerfile and Docker Compose file.
- Practice scaling services and using networking within a Dockerized environment.

Month 4: Kubernetes for Container Orchestration

Goal: Get comfortable with Kubernetes for deploying, scaling, and managing containerized applications.

Kubernetes Basics
- Learn about Kubernetes architecture: nodes, pods, services, deployments, and namespaces.
- Practice creating and managing resources through kubectl.
Kubernetes Setup
- Set up a local Kubernetes environment (e.g., Minikube or Kind).
- Explore how to deploy, scale, and update applications within the Kubernetes cluster.
Advanced Kubernetes Concepts
- Learn about ConfigMaps, Secrets, persistent storage, and networking in Kubernetes.
- Explore tools like Helm for managing Kubernetes applications.
Hands-on Practice:
- Deploy a Dockerized web app on Kubernetes, utilizing scaling and load balancing.
- Practice managing configurations, rolling updates, and rollback in Kubernetes.

Month 5: Infrastructure as Code (IaC) with Terraform and Monitoring with Prometheus/Grafana

Goal: Master IaC for managing infrastructure and set up monitoring and alerting for applications.

Terraform (IaC)
- Learn Terraform basics: providers, resources, variables, and modules.
- Practice writing Terraform code to provision infrastructure on a cloud provider (e.g., AWS).
Prometheus and Grafana (Monitoring)
- Install Prometheus for metrics monitoring and Grafana for visualization.
- Configure Prometheus to monitor Kubernetes applications, setting up alerts and dashboards in Grafana.
Infrastructure Automation and Monitoring Best Practices
- Study best practices in IaC and monitoring, focusing on reusability, readability, and security.
Hands-on Practice:
- Write Terraform code to automate infrastructure setup and deploy a sample application.
- Set up a monitoring dashboard in Grafana to visualize metrics from your Kubernetes cluster.

Additional Tips:

Documentation: Document each project to build a DevOps portfolio, showcasing your skills.
Real-World Projects: Towards the end, take on a small-scale project integrating all tools (CI/CD, Docker, Kubernetes, IaC, Monitoring).
Networking and Communities: Engage with DevOps communities, such as DevOps StackExchange or DevOps Reddit threads, for real-world insights.

This learning plan will provide you with a solid foundation in DevOps, covering key tools and concepts widely used in the industry.

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Month 1.md

Week 1: Linux Fundamentals

Day 1 - Linux Basics

Understand the Linux directory structure (/bin, /etc, /home, etc.).
Learn navigation commands: ls, cd, pwd, and viewing contents with cat, less, more.

Day 2 - File Operations

Practice creating, copying, moving, and deleting files and directories with touch, cp, mv, and rm.
Learn permissions: chmod, chown, and ls -l to view permissions.

Day 3 - File and Directory Management

Dive into file manipulation commands like find, locate, grep, and sed for searching and editing files.
Practice navigating the file system and modifying files.

Day 4 - Working with Processes

Learn how to view running processes with ps, top, and htop.
Explore job control commands like kill, pkill, and killall.

Day 5 - User and Group Management

Understand user and group concepts, create users with useradd, and modify user details with usermod.
Learn to manage groups and group permissions using groupadd and groupmod.

Day 6 - Permissions and Ownership

Deepen your understanding of file permissions, ownership, and special permissions (e.g., setuid, setgid, sticky bit).
Practice changing ownership with chown and permissions with chmod.

Day 7 - Review and Practice

Review all commands covered so far.
Set up a simple practice task (e.g., create and organize a folder structure with specific permissions and user ownership settings).

Week 2: Shell Scripting Basics

Day 8 - Introduction to Shell Scripting

Learn the basics of shell scripts, creating a script file, and understanding the #! (shebang) line.
Write a simple script that prints "Hello, World!" and run it.

Day 9 - Variables and Input in Shell Scripts

Understand variables, creating and assigning values, and basic variable usage.
Practice reading user input with read and displaying input values.

Day 10 - Conditional Statements

Learn if-else statements and how to use test conditions in scripts.
Write a script with conditional logic (e.g., check if a file exists).

Day 11 - Loops in Shell Scripts

Understand for, while, and until loops.
Practice writing scripts with loops, such as listing files in a directory or printing numbers from 1 to 10.

Day 12 - Functions and Error Handling

Learn how to define and use functions in shell scripts.
Practice error handling with || and && operators for conditional execution based on command success.

Day 13 - Practical Scripting Tasks

Write scripts to automate simple tasks (e.g., backup a directory, monitor disk usage).
Experiment with combining multiple concepts (e.g., using loops and functions together).

Day 14 - Review and Practice

Review all concepts and commands covered in shell scripting.
Refine and enhance previously written scripts, focusing on optimization.

Week 3: Advanced Shell Scripting

Day 15 - Text Processing

Dive into text processing tools like awk, sed, and cut.
Practice extracting and manipulating text within files.

Day 16 - Log Management

Learn how to create and manage log files within scripts.
Write a script that generates a log file, appends information to it, and rotates old logs.

Day 17 - Cron Jobs and Automation

Study cron for scheduling jobs and setting up recurring tasks.
Create simple cron jobs to automate daily tasks (e.g., logging system status).

Day 18 - Script Debugging and Optimization

Learn debugging techniques like set -x for tracing script execution.
Practice optimizing scripts by reducing redundancy and improving readability.

Day 19 - Project: Automated System Health Check Script

Write a comprehensive script that checks CPU usage, memory usage, disk space, and active processes.
Schedule the script with cron to run at regular intervals and log output to a file.

Day 20 - Review and Practice

Go over the concepts and examples from the week, refining your health check script.
Practice integrating awk, sed, and cron jobs into real scenarios.

Week 4: Git Version Control Basics

Day 21 - Git Introduction and Setup

Install Git and set up global configurations (user.name, user.email).
Create a local Git repository, add files, and make initial commits.

Day 22 - Basic Git Commands

Practice staging and committing changes, checking status with git status, and viewing commit history with git log.
Learn how to inspect changes with git diff.

Day 23 - Branching and Merging

Understand branching and create new branches.
Practice merging branches and resolving conflicts manually.

Day 24 - Working with Remote Repositories

Learn to connect to remote repositories (e.g., on GitHub).
Practice pushing local changes to a remote and pulling updates from it.

Day 25 - Collaboration with Git

Practice forking, cloning, and creating pull requests.
Learn best practices for collaborating on Git repositories and managing pull requests.

Day 26 - Git Stashing and Reverting

Learn how to save changes temporarily with git stash.
Practice reverting to previous commits and using git reset and git revert.

Day 27 - Working with Git Tags and Releases

Explore the use of tags in Git to mark specific points in the history.
Learn how to create a new tag, push it to a remote, and use tags in versioning.

Day 28 - Review and Practice

Review all Git concepts and practice branching, merging, and working with remotes.
Complete a mini-project, such as setting up a repository, managing branches, and merging changes from a team scenario.

Day 29: Final Project Setup and Planning

Objective: Start a small DevOps project that combines Linux, shell scripting, and Git.
Project Idea: Set up a "Server Monitoring System" that checks system health (CPU usage, memory usage, disk space, etc.), logs these stats, and pushes logs to a Git repository for version control.
Steps:
1. Set up a Git repository for the project.
2. Define the project structure, including directories for scripts, logs, and configuration files.
3. Outline the features of the monitoring script (e.g., health checks, log management, scheduled runs).
4. Create the basic scripts and setup files, test each component individually (like each system check).
Deliverable: A project plan with the Git repository initialized, a rough project structure, and initial scripts.

Day 30: Project Completion and Documentation

Objective: Complete, test, and document the final project.
Steps:
1. Complete the monitoring script, ensuring all system checks are in place and functional.
2. Set up cron jobs to automate the script to run daily.
3. Push your changes to the Git repository, managing branches if necessary.
4. Write project documentation:
  - How to install and run the script.
  - How to interpret the logs generated.
  - Any additional features or future improvements.
Deliverable: A completed project with a functioning server monitoring system, automated cron jobs, and documentation that could be shared with others.

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Month 2.md

30-Day Study Plan for Mastering CI/CD with Jenkins and GitHub Actions: Month 2

Week 1: Understanding CI/CD Concepts and Jenkins Basics

Day 1:

Objective: Learn the fundamentals of CI/CD.
Tasks: Study what CI/CD is, its benefits, and how it fits into DevOps. Understand the importance of automated testing and deployment.

Day 2:

Objective: Explore the CI/CD lifecycle and workflows.
Tasks: Deep dive into each stage in a CI/CD pipeline (build, test, deploy, monitor). Learn about common pipeline stages like code quality checks and release processes.

Day 3:

Objective: Introduction to Jenkins and its architecture.
Tasks: Understand Jenkins architecture, including the master and agent nodes, and plugins. Get familiar with Jenkins installation requirements and basic configurations.

Day 4:

Objective: Install and configure Jenkins.
Tasks: Set up Jenkins on a local machine or cloud environment. Configure basic settings (user management, security settings, plugins).

Day 5:

Objective: Understand Jenkins job types and configuration.
Tasks: Explore different job types in Jenkins (Freestyle, Pipeline, Multibranch Pipeline). Create a simple Freestyle project.

Day 6:

Objective: Study Jenkins pipeline syntax.
Tasks: Learn the basics of the Jenkins pipeline DSL (Declarative vs. Scripted syntax). Understand stages, steps, and environment variables.

Day 7:

Objective: Build your first pipeline.
Tasks: Create a basic Jenkins pipeline using Declarative syntax. Practice adding stages to clone a repository, build, and test an application.

Week 2: Building Advanced Jenkins Pipelines

Day 8:

Objective: Learn to use Jenkins environment variables.
Tasks: Study how to use built-in environment variables in Jenkins pipelines. Set custom environment variables in a pipeline script.

Day 9:

Objective: Work with Jenkins credentials management.
Tasks: Understand credential management in Jenkins. Practice storing and using credentials (like API keys or SSH keys) securely in a pipeline.

Day 10:

Objective: Set up notifications in Jenkins.
Tasks: Configure email notifications in Jenkins to receive pipeline success or failure alerts. Explore plugins for Slack or other messaging apps if relevant.

Day 11:

Objective: Learn about Jenkins plugins.
Tasks: Explore popular plugins for CI/CD (e.g., Git, GitHub, Docker, NodeJS). Install and configure one or more plugins relevant to your project.

Day 12:

Objective: Implement build and test automation in Jenkins.
Tasks: Set up a pipeline that runs automated tests on a simple application. Learn to report test results in Jenkins using plugins.

Day 13:

Objective: Study artifact management in Jenkins.
Tasks: Learn to archive build artifacts in Jenkins and explore options for publishing artifacts (e.g., JAR files) for reuse in other stages or jobs.

Day 14:

Objective: Create a complete CI/CD pipeline in Jenkins.
Tasks: Build a pipeline that includes cloning code, building, testing, archiving artifacts, and notifying. Make this a reusable pipeline template.

Week 3: Introduction to GitHub Actions

Day 15:

Objective: Learn the fundamentals of GitHub Actions.
Tasks: Study the structure of a GitHub Actions workflow (workflow files, jobs, steps, and actions). Understand the benefits of using GitHub Actions for CI/CD.

Day 16:

Objective: Explore GitHub Actions syntax and YAML basics.
Tasks: Get familiar with the YAML syntax used in GitHub Actions. Learn about jobs, steps, and using conditionals in workflows.

Day 17:

Objective: Build your first GitHub Actions workflow.
Tasks: Create a basic workflow to automatically test an application when a pull request is opened. Use predefined actions for checking out code and running tests.

Day 18:

Objective: Set up environment variables and secrets in GitHub Actions.
Tasks: Learn how to configure environment variables and secrets for GitHub Actions workflows. Use secrets to handle sensitive information securely.

Day 19:

Objective: Explore reusable workflows and custom actions.
Tasks: Study reusable workflows in GitHub Actions and how to build custom actions to handle unique tasks. Create a simple custom action.

Day 20:

Objective: Build a complete CI/CD pipeline with GitHub Actions.
Tasks: Create a workflow that runs tests, builds the application, and deploys it to a testing environment. Set up conditional deployment steps.

Day 21:

Objective: Explore GitHub Actions Marketplace.
Tasks: Review and experiment with actions from GitHub’s marketplace for tasks like linting, code scanning, and test reporting. Integrate a relevant action into your pipeline.

Week 4: Advanced CI/CD Techniques with Jenkins and GitHub Actions

Day 22:

Objective: Set up a multi-branch pipeline in Jenkins.
Tasks: Learn to configure a Jenkins multi-branch pipeline for managing different branches in a repository. Set rules for running pipelines based on branch changes.

Day 23:

Objective: Implement parallel execution in Jenkins and GitHub Actions.
Tasks: Study how to run parallel tasks in both Jenkins and GitHub Actions. Implement parallel tasks for testing or building different parts of a project simultaneously.

Day 24:

Objective: Study deployment strategies (canary, blue-green, rolling).
Tasks: Learn about deployment strategies and when to use each. Understand how these strategies work in a CI/CD context.

Day 25:

Objective: Set up staging and production environments in Jenkins.
Tasks: Configure your Jenkins pipeline to deploy to staging first and then to production after approval. Use manual triggers for controlled production releases.

Day 26:

Objective: Implement caching in GitHub Actions.
Tasks: Learn to use caching to speed up GitHub Actions workflows. Set up caching for dependencies and configuration files in a CI pipeline.

Day 27:

Objective: Integrate Docker with CI/CD pipelines.
Tasks: Build a Dockerized application and set up pipelines to build, test, and deploy Docker images in both Jenkins and GitHub Actions.

Day 28:

Objective: Implement CI/CD pipeline monitoring and logging.
Tasks: Set up logging and monitoring for Jenkins and GitHub Actions pipelines. Learn to troubleshoot common pipeline issues.

Day 29:

Objective: Optimize CI/CD pipeline performance.
Tasks: Identify and reduce bottlenecks in Jenkins and GitHub Actions workflows. Use best practices to streamline CI/CD processes.

Day 30:

Objective: Review and deploy a final project with CI/CD.
Tasks: Implement a complete CI/CD pipeline on a real project. Review each component from automated tests to deployment and monitoring. Evaluate areas for improvement.

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Month 3.md

30-Day Study Plan: Docker Fundamentals- Month 3

Week 1: Understanding Containers and Docker Basics

Day 1:

Objective: Understand what containerization is and why it's important.
Tasks: Learn the fundamentals of containerization, its advantages, and how it differs from traditional virtualization. Study the concepts of isolation, resource efficiency, and portability.

Day 2:

Objective: Introduction to Docker.
Tasks: Study Docker’s core components, including images, containers, registries, and Docker CLI basics. Understand Docker's client-server architecture.

Day 3:

Objective: Install Docker.
Tasks: Set up Docker on your local machine. Go through installation requirements, Docker Desktop configuration, and troubleshooting installation issues.

Day 4:

Objective: Understand Docker images.
Tasks: Learn what a Docker image is, how it’s built, and how it serves as the foundation of containers. Explore Docker image layers and learn how images are pulled from Docker Hub.

Day 5:

Objective: Learn about Docker containers.
Tasks: Study the relationship between images and containers. Run your first container, explore Docker CLI commands for managing containers, and learn how to start, stop, and remove containers.

Day 6:

Objective: Docker image management.
Tasks: Learn to manage Docker images on your local system. Practice pulling images, removing unused ones, and understanding how Docker caches images.

Day 7:

Objective: Hands-on practice with basic Docker commands.
Tasks: Run a variety of images, experimenting with Docker commands (e.g., docker run, docker ps, docker stop, docker rm). Document your observations and learnings.

Week 2: Creating and Managing Docker Images

Day 8:

Objective: Understand Dockerfiles.
Tasks: Study Dockerfile syntax and structure. Learn the purpose of each Dockerfile instruction, such as FROM, RUN, COPY, CMD, and EXPOSE.

Day 9:

Objective: Build your first Docker image.
Tasks: Write a basic Dockerfile for a simple application (e.g., a web server). Use Docker commands to build an image from the Dockerfile, and run a container from this image.

Day 10:

Objective: Explore image layers and caching.
Tasks: Study how Docker builds images layer by layer and how caching works to speed up builds. Practice reordering Dockerfile instructions to optimize caching.

Day 11:

Objective: Use environment variables in Docker.
Tasks: Learn to set and use environment variables in Dockerfiles and containers. Study the purpose of ENV and ARG in Dockerfiles and when to use each.

Day 12:

Objective: Understand image tagging and versioning.
Tasks: Learn about tagging Docker images, creating multiple versions, and best practices for image tagging. Practice tagging images and understand the importance of consistent versioning.

Day 13:

Objective: Working with Docker registries.
Tasks: Study how Docker Hub and private registries work. Practice pushing and pulling images from Docker Hub, and explore private registry setup basics.

Day 14:

Objective: Advanced Dockerfile practices.
Tasks: Study multi-stage builds to optimize images and reduce their size. Practice writing a multi-stage Dockerfile to separate build and production environments.

Week 3: Docker Networking and Storage

Day 15:

Objective: Introduction to Docker networking.
Tasks: Study Docker networking basics. Understand the default bridge network, host network, and container-to-container communication.

Day 16:

Objective: Networking between containers.
Tasks: Learn how to link containers, use Docker network commands, and understand network isolation. Practice creating a custom network and connecting multiple containers.

Day 17:

Objective: Docker port mapping.
Tasks: Study how Docker maps ports from containers to the host system. Practice exposing different ports and accessing your containerized application from the host machine.

Day 18:

Objective: Introduction to Docker storage and volumes.
Tasks: Understand the basics of Docker storage options, including volumes and bind mounts. Learn how to use volumes to persist data and share it between containers.

Day 19:

Objective: Managing data with volumes.
Tasks: Practice creating and attaching volumes to containers. Learn about volume management commands and understand the use of volumes for data persistence.

Day 20:

Objective: Bind mounts and their applications.
Tasks: Study the concept of bind mounts, and understand when to use them instead of volumes. Practice mounting a host directory to a container for development purposes.

Day 21:

Objective: Docker networks and storage review.
Tasks: Review Docker networking and storage concepts by setting up a small environment with multiple containers, custom networking, and data persistence through volumes.

Week 4: Docker Compose and Application Orchestration

Day 22:

Objective: Introduction to Docker Compose.
Tasks: Study Docker Compose basics and understand its purpose in managing multi-container applications. Review the structure of a docker-compose.yml file.

Day 23:

Objective: Creating a basic Docker Compose file.
Tasks: Write a docker-compose.yml file for a multi-container setup (e.g., a web server and a database). Learn the syntax and commands for managing Compose files.

Day 24:

Objective: Working with Compose services.
Tasks: Understand Docker Compose services, including service dependencies, environment variables, and networking. Practice configuring these settings in your docker-compose.yml file.

Day 25:

Objective: Scaling services with Docker Compose.
Tasks: Learn how to scale services with Docker Compose. Practice setting up a simple load-balanced environment by scaling a web server service.

Day 26:

Objective: Advanced Docker Compose configurations.
Tasks: Study advanced Compose configurations, such as volume sharing, logging, and specifying build instructions for services.

Day 27:

Objective: Docker Compose and environment-specific configurations.
Tasks: Learn how to configure Docker Compose for different environments (development, testing, production). Practice setting up and switching between environments.

Day 28:

Objective: Testing your Docker Compose application.
Tasks: Test your multi-container application, ensuring all services are running correctly and can communicate. Practice troubleshooting any issues that arise.

Day 29:

Objective: Introduction to Docker Swarm.
Tasks: Study Docker Swarm basics, including how it enables orchestration of Docker containers across multiple hosts. Learn how to initialize a Swarm cluster.

Day 30:

Objective: Docker Swarm hands-on practice.
Tasks: Set up a simple Docker Swarm cluster and deploy services across multiple nodes. Learn how to scale, manage, and monitor Swarm services.

Final Thoughts

By the end of this month, you will have a solid understanding of Docker, containerization principles, and how to use Docker in real-world applications. Continue to build and experiment with Docker to deepen your understanding and practice problem-solving with containers.

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Month 4.md

Month 4: Kubernetes for Container Orchestration

This is a detailed 30-day study plan for the fourth month, focusing on Kubernetes and container orchestration fundamentals. This month is designed to give you a foundational understanding of Kubernetes, from its core components and resources to deploying and managing applications in a cluster.

Week 1: Introduction to Kubernetes and Core Concepts

Day 1:

Objective: Understand the need for container orchestration.
Tasks: Learn the challenges of managing containers in production environments, including scaling, high availability, and self-healing. Explore how Kubernetes addresses these challenges.

Day 2:

Objective: Introduction to Kubernetes architecture.
Tasks: Study Kubernetes' architecture, including nodes, clusters, control plane, and worker nodes. Understand the role of each component in maintaining cluster state.

Day 3:

Objective: Learn about Kubernetes clusters.
Tasks: Dive deeper into the Kubernetes cluster structure, including Master and Worker nodes. Understand how they communicate, and learn the purpose of components like the API server, etcd, and kubelet.

Day 4:

Objective: Get familiar with Kubernetes CLI commands.
Tasks: Study basic kubectl commands. Practice commands like kubectl get, kubectl describe, and kubectl delete to interact with the cluster.

Day 5:

Objective: Understand Kubernetes Pods.
Tasks: Learn what a Pod is, its lifecycle, and why it’s the smallest deployable unit in Kubernetes. Understand multi-container Pods and container-to-container communication.

Day 6:

Objective: Work with basic Pod configurations.
Tasks: Create and manage Pods with kubectl. Learn how to inspect Pod statuses, restart Pods, and troubleshoot common Pod issues.

Day 7:

Objective: Review core concepts.
Tasks: Review Kubernetes architecture, nodes, clusters, and Pods. Practice writing YAML files for basic Pod configurations.

Week 2: Deployments, Services, and Scaling

Day 8:

Objective: Introduction to Deployments.
Tasks: Learn what a Deployment is and how it manages Pods. Understand the advantages of using Deployments for rolling updates, rollback, and managing Pod replicas.

Day 9:

Objective: Create and manage Deployments.
Tasks: Write YAML configurations for Deployments and deploy them in Kubernetes. Practice scaling Deployments up and down, and observe how it affects Pods.

Day 10:

Objective: Understand Kubernetes Services.
Tasks: Learn about Services and their role in exposing Pods to external traffic. Study the different types of Services (ClusterIP, NodePort, and LoadBalancer) and when to use each.

Day 11:

Objective: Configure ClusterIP and NodePort Services.
Tasks: Practice setting up ClusterIP and NodePort Services for internal and external communication with Pods. Understand service discovery within the cluster.

Day 12:

Objective: Learn about LoadBalancer Services and Ingress.
Tasks: Study LoadBalancer Services and Ingress controllers for managing external access. Understand Ingress rules and how they route traffic to Services.

Day 13:

Objective: Explore ReplicaSets and scaling.
Tasks: Study ReplicaSets and their role in maintaining the desired number of Pods. Practice scaling Deployments manually and automatically.

Day 14:

Objective: Review Deployments, Services, and scaling.
Tasks: Review all concepts learned this week, focusing on YAML configurations for Deployments, ReplicaSets, and Services. Create a sample application with multiple services.

Week 3: Storage, ConfigMaps, and Secrets

Day 15:

Objective: Introduction to Kubernetes storage.
Tasks: Learn about storage options in Kubernetes, including PersistentVolumes (PV) and PersistentVolumeClaims (PVC). Understand the benefits of persistent storage for stateful applications.

Day 16:

Objective: Set up PersistentVolumes and PersistentVolumeClaims.
Tasks: Practice creating PersistentVolumes and PersistentVolumeClaims in YAML. Experiment with attaching storage to Pods and observe how data persists across Pod restarts.

Day 17:

Objective: Explore ConfigMaps.
Tasks: Study ConfigMaps and their role in managing configuration data. Learn how to inject ConfigMaps into Pods using environment variables and volume mounts.

Day 18:

Objective: Practice with ConfigMaps.
Tasks: Create and manage ConfigMaps in Kubernetes. Experiment with injecting configuration data into Pods for different application settings.

Day 19:

Objective: Learn about Secrets.
Tasks: Study Kubernetes Secrets for securely storing sensitive data, like API keys and passwords. Understand how Secrets differ from ConfigMaps.

Day 20:

Objective: Use Secrets in applications.
Tasks: Practice creating and injecting Secrets into Pods. Learn how to reference Secrets in environment variables and as volume mounts.

Day 21:

Objective: Review storage, ConfigMaps, and Secrets.
Tasks: Review PersistentVolumes, PersistentVolumeClaims, ConfigMaps, and Secrets. Create a sample application that uses all these resources to manage configurations and sensitive data.

Week 4: Application Lifecycle, Monitoring, and Logging

Day 22:

Objective: Understand application lifecycle management.
Tasks: Study the lifecycle of Kubernetes applications, including scaling, rolling updates, and rollback. Understand how Kubernetes handles disruptions with pod health checks.

Day 23:

Objective: Health checks and readiness probes.
Tasks: Learn about liveness and readiness probes to monitor the health of containers. Practice adding probes to your application’s YAML files and testing their behavior.

Day 24:

Objective: Understand logging in Kubernetes.
Tasks: Learn how to capture and view logs for Pods using kubectl. Explore logging best practices and how to manage logs for multiple containers.

Day 25:

Objective: Introduction to monitoring with metrics.
Tasks: Study the basics of monitoring Kubernetes clusters using metrics. Understand common metrics collected from applications and cluster components.

Day 26:

Objective: Set up monitoring and alerts.
Tasks: Learn about monitoring tools for Kubernetes (without specifics). Understand how to set up basic alerts for CPU, memory usage, and Pod health.

Day 27:

Objective: Explore common monitoring tools (Prometheus, Grafana).
Tasks: Research popular tools for Kubernetes monitoring, such as Prometheus and Grafana. Set up basic monitoring in a Kubernetes cluster using these tools.

Day 28:

Objective: Understand logging systems in production.
Tasks: Learn how centralized logging systems like ELK stack and Fluentd work with Kubernetes. Set up a basic log collection system.

Day 29:

Objective: Review application lifecycle management, monitoring, and logging.
Tasks: Review health checks, application lifecycle management, and logging concepts. Ensure you can manage all aspects of a Kubernetes application lifecycle.

Day 30:

Objective: Final review and hands-on practice.
Tasks: Work on a comprehensive Kubernetes project that integrates all concepts learned. Deploy, scale, and manage your application using Kubernetes. Set up monitoring, health checks, and logging for the app.