This DevOps Engineer – Job-Oriented Professional Training Program provides practical, industry-oriented training in modern DevOps practices, automation, CI/CD, containerization, Kubernetes, cloud infrastructure, Infrastructure as Code, configuration management, monitoring, logging, security, and deployment automation.

The program is designed around hands-on labs, real-world scenarios, automation exercises, troubleshooting activities, and an end-to-end DevOps implementation project.

Students will work with industry-relevant technologies including Linux, Git, GitHub, Maven, Jenkins, GitHub Actions, Docker, Kubernetes, Terraform, Ansible, AWS, Azure, GCP, Prometheus, Grafana, and ELK.

By the end of the program, learners will have practical experience building a complete DevOps pipeline from source code to automated build, containerization, infrastructure provisioning, Kubernetes deployment, monitoring, logging, and production-oriented operations.

Basic IT Knowledge

Students should have:

• ☑ Basic computer knowledge
• ☑ Understanding of operating systems
• ☑ Basic command-line / terminal knowledge
• ☑ Basic understanding of software applications
• ☑ Basic understanding of client-server architecture

Programming / Scripting Knowledge

Students should understand basic programming concepts such as:

• ☑ Variables
• ☑ Conditions
• ☑ Loops
• ☑ Functions
• ☑ Basic scripting concepts

Prior knowledge of Java, Python, or another programming language is helpful but not mandatory.

Networking Fundamentals

Basic knowledge of:

• ☑ IP addresses
• ☑ DNS
• ☑ TCP/IP
• ☑ Ports
• ☑ HTTP / HTTPS
• ☑ SSH
• ☑ Client-server communication

Recommended Knowledge

The following are beneficial but can be covered during the course:

• ☑ Basic Linux
• ☑ Basic Git
• ☑ Basic SQL
• ☑ Basic cloud concepts
• ☑ Basic software development lifecycle

Important

No prior professional DevOps experience is required.

The course starts with Linux, networking, Git, and DevOps fundamentals before progressing to CI/CD, Docker, Kubernetes, Terraform, Ansible, cloud, monitoring, security, and production deployment.

Students should have a laptop or desktop capable of running virtualization and containerization tools.

Operating System

Recommended:

• ☑ Windows 10/11 with WSL2
• ☑ Ubuntu Linux
• ☑ macOS

For Windows users, WSL2 with Ubuntu is recommended for Linux-based labs.

Development & Command-Line Tools

• ☑ Visual Studio Code
• ☑ Git
• ☑ Git Bash / WSL2
• ☑ Windows Terminal or Linux Terminal
• ☑ OpenSSH Client
• ☑ curl
• ☑ wget

Build Tools

• ☑ Java JDK
• ☑ Apache Maven

Version Control

• ☑ Git
• ☑ GitHub Account

CI/CD

• ☑ Jenkins
• ☑ GitHub Actions

Containerization

• ☑ Docker Desktop / Docker Engine
• ☑ Docker Compose
• ☑ Docker Hub Account

Kubernetes

• ☑ Kubernetes
• ☑ kubectl
• ☑ Minikube or Kind
• ☑ Helm
• ☑ Kubernetes Dashboard / equivalent tooling

Infrastructure as Code

• ☑ Terraform
• ☑ Terraform CLI
• ☑ Cloud CLI tools

Configuration Management

• ☑ Ansible
• ☑ Python
• ☑ SSH

Cloud Platforms

Students may use one primary cloud platform for hands-on exercises:

• ☑ AWS Account
• ☑ Microsoft Azure Account
• ☑ Google Cloud Account

A free-tier or training/lab account can be used where applicable.

Monitoring & Logging

• ☑ Prometheus
• ☑ Grafana
• ☑ Elasticsearch
• ☑ Logstash
• ☑ Kibana

API & Testing Tools

• ☑ Postman
• ☑ Browser Developer Tools

By completing this course, students will learn how to:

• ☑ Manage Linux servers and environments
• ☑ Work with Git and GitHub
• ☑ Understand DevOps and CI/CD principles
• ☑ Build applications using Maven
• ☑ Automate builds using Jenkins
• ☑ Create GitHub Actions workflows
• ☑ Containerize applications using Docker
• ☑ Manage container images and registries
• ☑ Deploy applications using Kubernetes
• ☑ Configure Kubernetes networking and storage
• ☑ Provision infrastructure using Terraform
• ☑ Automate server configuration using Ansible
• ☑ Work with AWS, Azure, and Google Cloud
• ☑ Implement infrastructure automation
• ☑ Monitor infrastructure using Prometheus
• ☑ Build dashboards using Grafana
• ☑ Implement centralized logging using ELK
• ☑ Apply DevSecOps principles
• ☑ Implement secure CI/CD pipelines
• ☑ Implement rolling, blue-green, and canary deployments
• ☑ Troubleshoot infrastructure and deployment issues
• ☑ Build an end-to-end DevOps delivery pipeline
• ☑ Work on a production-oriented DevOps project

Linux Fundamentals

• ☑ Introduction to Linux and DevOps
• ☑ Linux distributions
• ☑ Linux filesystem hierarchy
• ☑ File and directory management
• ☑ Essential Linux commands
• ☑ File searching and text processing
• ☑ Pipes and redirection

Users, Groups & Permissions

• ☑ Linux users and groups
• ☑ File ownership
• ☑ Read, write, and execute permissions
• ☑ chmod
• ☑ chown
• ☑ chgrp
• ☑ sudo
• ☑ User and group management

Processes & Services

• ☑ Linux processes
• ☑ Process monitoring
• ☑ ps
• ☑ top
• ☑ htop
• ☑ Process termination
• ☑ Background and foreground processes
• ☑ Linux services
• ☑ systemctl

Networking Fundamentals

• ☑ IP addresses
• ☑ TCP/IP fundamentals
• ☑ DNS
• ☑ Ports and protocols
• ☑ HTTP/HTTPS
• ☑ SSH
• ☑ ping
• ☑ curl
• ☑ wget
• ☑ ss
• ☑ Basic network troubleshooting

Shell Scripting

• ☑ Bash fundamentals
• ☑ Variables
• ☑ Conditions
• ☑ Loops
• ☑ Functions
• ☑ Command-line arguments
• ☑ Basic automation scripts

Practical Labs

• ☑ Create Linux users
• ☑ Configure file permissions
• ☑ Manage Linux processes
• ☑ Configure SSH access
• ☑ Troubleshoot basic networking
• ☑ Create Bash automation scripts

Git Fundamentals

• ☑ Introduction to Git
• ☑ Git architecture
• ☑ Git installation and configuration
• ☑ Local vs remote repositories
• ☑ Working directory
• ☑ Staging area
• ☑ Git repository

Essential Git Commands

• ☑ git init
• ☑ git clone
• ☑ git status
• ☑ git add
• ☑ git commit
• ☑ git push
• ☑ git pull
• ☑ git fetch
• ☑ git log

Branching & Merging

• ☑ Branch creation
• ☑ Feature branches
• ☑ Merge
• ☑ Merge conflicts
• ☑ Conflict resolution
• ☑ Rebase fundamentals
• ☑ Tags and releases

GitHub

• ☑ GitHub repositories
• ☑ README files
• ☑ .gitignore
• ☑ Pull Requests
• ☑ Code Reviews
• ☑ Issues
• ☑ Repository permissions
• ☑ Branch protection

Git Workflows

• ☑ Feature Branch Workflow
• ☑ Git Flow
• ☑ Trunk-Based Development
• ☑ Team collaboration

Practical Labs

• ☑ Create Git repositories
• ☑ Push projects to GitHub
• ☑ Create feature branches
• ☑ Resolve merge conflicts
• ☑ Create Pull Requests
• ☑ Perform code reviews

DevOps & CI/CD Fundamentals

• ☑ DevOps lifecycle
• ☑ SDLC
• ☑ Agile and DevOps
• ☑ Continuous Integration
• ☑ Continuous Delivery
• ☑ Continuous Deployment
• ☑ CI/CD pipeline architecture

Maven

• ☑ Maven fundamentals
• ☑ Maven project structure
• ☑ pom.xml
• ☑ Dependencies
• ☑ Maven lifecycle
• ☑ Build, test, and package
• ☑ Maven repositories

Jenkins

• ☑ Jenkins architecture
• ☑ Jenkins installation
• ☑ Jenkins dashboard
• ☑ Jobs and projects
• ☑ Freestyle jobs
• ☑ Jenkins Pipeline
• ☑ Jenkinsfile
• ☑ Build triggers
• ☑ Webhooks
• ☑ Credentials
• ☑ Build agents

GitHub Actions

• ☑ GitHub Actions fundamentals
• ☑ Workflow files
• ☑ Events
• ☑ Jobs
• ☑ Steps
• ☑ Runners
• ☑ Secrets
• ☑ Environment variables

CI/CD Pipeline

• ☑ Source checkout
• ☑ Build
• ☑ Unit testing
• ☑ Code quality
• ☑ Package creation
• ☑ Artifact publishing
• ☑ Deployment automation

Practical Labs

• ☑ Build a Java application using Maven
• ☑ Create Jenkins jobs
• ☑ Build Jenkins pipelines
• ☑ Integrate GitHub with Jenkins
• ☑ Create GitHub Actions workflows
• ☑ Implement a complete CI pipeline

Container Fundamentals

• ☑ What are containers?
• ☑ Containers vs Virtual Machines
• ☑ Docker architecture
• ☑ Docker Engine
• ☑ Docker CLI

Docker Images

• ☑ Docker images
• ☑ Image layers
• ☑ Pulling images
• ☑ Building images
• ☑ Image tagging
• ☑ Image inspection
• ☑ Image cleanup

Docker Containers

• ☑ Creating containers
• ☑ Starting and stopping containers
• ☑ Container lifecycle
• ☑ Port mapping
• ☑ Environment variables
• ☑ Container logs
• ☑ Container networking
• ☑ Volumes

Dockerfile

• ☑ Dockerfile structure
• ☑ FROM
• ☑ RUN
• ☑ COPY
• ☑ ADD
• ☑ WORKDIR
• ☑ ENV
• ☑ EXPOSE
• ☑ CMD
• ☑ ENTRYPOINT
• ☑ Multi-stage builds

Docker Compose

• ☑ Docker Compose fundamentals
• ☑ Multi-container applications
• ☑ Services
• ☑ Networks
• ☑ Volumes
• ☑ Environment configuration

Container Registries

• ☑ Docker Hub
• ☑ Image repositories
• ☑ Image tagging
• ☑ Push and pull
• ☑ Private registry concepts

Practical Labs

• ☑ Run Docker containers
• ☑ Build custom Docker images
• ☑ Create Dockerfiles
• ☑ Containerize an application
• ☑ Create multi-container applications
• ☑ Push images to a registry

Kubernetes Fundamentals

• ☑ What is Kubernetes?
• ☑ Kubernetes architecture
• ☑ Control Plane
• ☑ Worker Nodes
• ☑ Kubernetes objects
• ☑ kubectl

Pods

• ☑ Pod architecture
• ☑ Pod lifecycle
• ☑ Pod YAML
• ☑ Creating and managing Pods
• ☑ Labels and selectors

Deployments

• ☑ Deployment architecture
• ☑ ReplicaSets
• ☑ Scaling applications
• ☑ Rolling updates
• ☑ Rollbacks

Kubernetes Services

• ☑ Service architecture
• ☑ ClusterIP
• ☑ NodePort
• ☑ LoadBalancer
• ☑ Service discovery
• ☑ Kubernetes DNS

Configuration

• ☑ ConfigMaps
• ☑ Secrets
• ☑ Environment variables

Storage

• ☑ Volumes
• ☑ Persistent Volumes
• ☑ Persistent Volume Claims
• ☑ Storage concepts

Networking

• ☑ Pod networking
• ☑ Service networking
• ☑ Kubernetes DNS
• ☑ Ingress
• ☑ Ingress controllers

Practical Labs

• ☑ Create a Kubernetes cluster
• ☑ Deploy applications
• ☑ Create Pods and Deployments
• ☑ Scale applications
• ☑ Configure Services
• ☑ Configure ConfigMaps and Secrets
• ☑ Perform rolling deployments
• ☑ Perform rollbacks

Infrastructure as Code

• ☑ What is IaC?
• ☑ Benefits of IaC
• ☑ Traditional infrastructure vs IaC
• ☑ Terraform architecture

Terraform Fundamentals

• ☑ Providers
• ☑ Resources
• ☑ Variables
• ☑ Outputs
• ☑ Data sources
• ☑ Terraform configuration files

Terraform Workflow

• ☑ terraform init
• ☑ terraform fmt
• ☑ terraform validate
• ☑ terraform plan
• ☑ terraform apply
• ☑ terraform destroy

Terraform State

• ☑ Terraform state
• ☑ Local state
• ☑ Remote state
• ☑ State locking
• ☑ State management
• ☑ State security

Terraform Modules

• ☑ Module fundamentals
• ☑ Creating modules
• ☑ Module variables
• ☑ Module outputs
• ☑ Reusable infrastructure

Cloud Infrastructure

• ☑ Provision cloud resources
• ☑ Networks
• ☑ Virtual machines
• ☑ Storage
• ☑ Security configuration

Practical Labs

• ☑ Create infrastructure using Terraform
• ☑ Manage variables and outputs
• ☑ Work with Terraform state
• ☑ Create reusable Terraform modules
• ☑ Provision cloud infrastructure
• ☑ Automate infrastructure deployment

Ansible Fundamentals

• ☑ What is Ansible?
• ☑ Configuration management
• ☑ Ansible architecture
• ☑ Agentless automation
• ☑ Control node and managed nodes

Ansible Inventory

• ☑ Inventory fundamentals
• ☑ Hosts
• ☑ Groups
• ☑ Variables
• ☑ Static inventory
• ☑ Dynamic inventory concepts

Ansible Modules

• ☑ command
• ☑ shell
• ☑ copy
• ☑ file
• ☑ package
• ☑ service
• ☑ user
• ☑ template

Ansible Playbooks

• ☑ YAML fundamentals
• ☑ Playbook structure
• ☑ Tasks
• ☑ Variables
• ☑ Handlers
• ☑ Conditions
• ☑ Loops
• ☑ Templates

Ansible Roles

• ☑ Role architecture
• ☑ Creating roles
• ☑ Role variables
• ☑ Reusable automation
• ☑ Ansible Galaxy concepts

Application Deployment

• ☑ Package installation
• ☑ Server configuration
• ☑ Service management
• ☑ Application deployment
• ☑ Configuration templates

Practical Labs

• ☑ Configure Ansible
• ☑ Create inventory
• ☑ Execute ad-hoc commands
• ☑ Create playbooks
• ☑ Configure Linux servers
• ☑ Deploy an application
• ☑ Create reusable Ansible roles

Module 8: Cloud Computing – AWS / Azure / GCP

Cloud Fundamentals

• ☑ Cloud computing concepts
• ☑ IaaS, PaaS, and SaaS
• ☑ Public, Private, and Hybrid Cloud
• ☑ Regions and Availability Zones
• ☑ Scalability
• ☑ Elasticity
• ☑ High Availability

AWS

• ☑ EC2
• ☑ VPC
• ☑ IAM
• ☑ S3
• ☑ Load Balancer
• ☑ Auto Scaling
• ☑ CloudWatch

Microsoft Azure

• ☑ Azure Virtual Machines
• ☑ Virtual Networks
• ☑ Storage
• ☑ Azure Identity
• ☑ Load Balancer
• ☑ Azure Monitor

Google Cloud

• ☑ Compute Engine
• ☑ VPC
• ☑ Cloud Storage
• ☑ IAM
• ☑ Load Balancing
• ☑ Cloud Monitoring

Cloud & DevOps

• ☑ CI/CD in the cloud
• ☑ Cloud-based containers
• ☑ Kubernetes in the cloud
• ☑ Infrastructure as Code
• ☑ Cloud automation
• ☑ Cloud security fundamentals

Practical Labs

• ☑ Create a cloud VM
• ☑ Configure networking
• ☑ Create cloud storage
• ☑ Configure IAM
• ☑ Deploy an application
• ☑ Monitor cloud resources
• ☑ Provision cloud resources using Terraform

Monitoring Fundamentals

• ☑ Infrastructure monitoring
• ☑ Application monitoring
• ☑ Metrics
• ☑ Logs
• ☑ Traces
• ☑ Observability
• ☑ Alerts
• ☑ SLI, SLO, and SLA fundamentals

Prometheus

• ☑ Prometheus architecture
• ☑ Metrics
• ☑ Targets
• ☑ Exporters
• ☑ Prometheus configuration
• ☑ PromQL
• ☑ Alerting

Grafana

• ☑ Grafana fundamentals
• ☑ Data sources
• ☑ Dashboards
• ☑ Panels
• ☑ Queries
• ☑ Variables
• ☑ Alerts

ELK Stack

• ☑ Elasticsearch
• ☑ Logstash
• ☑ Kibana
• ☑ Log collection
• ☑ Log processing
• ☑ Log visualization
• ☑ Centralized logging

Kubernetes Monitoring

• ☑ Kubernetes metrics
• ☑ Pod monitoring
• ☑ Node monitoring
• ☑ Application monitoring
• ☑ Kubernetes logs

Practical Labs

• ☑ Install Prometheus
• ☑ Configure monitoring targets
• ☑ Create Grafana dashboards
• ☑ Query metrics using PromQL
• ☑ Configure alerts
• ☑ Collect application logs
• ☑ Build an ELK logging solution

Module 10: DevSecOps & Security Fundamentals

Security in DevOps

• ☑ DevSecOps fundamentals
• ☑ Security in CI/CD
• ☑ Secure coding concepts
• ☑ Secrets management

Identity & Access

• ☑ Authentication
• ☑ Authorization
• ☑ IAM
• ☑ Least privilege
• ☑ RBAC

Pipeline Security

• ☑ Secure credentials
• ☑ Secrets
• ☑ Environment variables
• ☑ Secure pipeline configuration

Container Security

• ☑ Image vulnerabilities
• ☑ Secure Dockerfiles
• ☑ Image scanning
• ☑ Container security fundamentals

Cloud Security

• ☑ IAM
• ☑ Network security
• ☑ Security groups
• ☑ Key management
• ☑ Basic cloud security practices

Practical Labs

• ☑ Configure secure credentials
• ☑ Implement pipeline secrets
• ☑ Scan container images
• ☑ Configure role-based access
• ☑ Apply security best practices

Advanced Pipeline Concepts

• ☑ Multi-stage pipelines
• ☑ Build agents
• ☑ Pipeline variables
• ☑ Artifacts
• ☑ Environment management
• ☑ Approvals

Deployment Strategies

• ☑ Rolling deployment
• ☑ Blue-Green deployment
• ☑ Canary deployment
• ☑ Recreate deployment

Application Environments

• ☑ Development environment
• ☑ Testing environment
• ☑ Staging environment
• ☑ Production environment

CI/CD with Containers

• ☑ Build Docker image
• ☑ Push image to registry
• ☑ Deploy to Kubernetes
• ☑ Automated rollback

Practical Labs

• ☑ Build a multi-stage CI/CD pipeline
• ☑ Implement Docker-based CI/CD
• ☑ Deploy applications to Kubernetes
• ☑ Implement rolling deployment
• ☑ Implement blue-green deployment

End-to-End DevOps Implementation

Students will implement a complete production-style DevOps delivery platform.

Project Architecture

Developer → GitHub → CI Pipeline → Maven → Docker → Container Registry → Kubernetes → Cloud → Monitoring & Logging

Project Tasks

• ☑ Create application repository
• ☑ Implement Git branching strategy
• ☑ Configure GitHub
• ☑ Build application using Maven
• ☑ Configure CI/CD using Jenkins / GitHub Actions
• ☑ Build Docker image
• ☑ Push image to container registry
• ☑ Provision infrastructure using Terraform
• ☑ Configure servers using Ansible
• ☑ Deploy application to Kubernetes
• ☑ Configure Kubernetes networking
• ☑ Configure monitoring using Prometheus
• ☑ Create Grafana dashboards
• ☑ Configure centralized logging using ELK
• ☑ Implement security practices
• ☑ Document deployment architecture
• ☑ Troubleshoot deployment failures
• ☑ Perform application rollout and rollback

☑ Application source-code repository

☑ Git branching strategy

☑ Dockerfile

☑ CI/CD pipeline

☑ Terraform infrastructure code

☑ Ansible playbooks

☑ Kubernetes manifests

☑ Container registry configuration

☑ Monitoring dashboards

☑ Logging configuration

☑ Security configuration

☑ Architecture diagram

☑ Deployment documentation

☑ Troubleshooting documentation

☑ Project presentation

Operating System

• ☑ Linux
• ☑ Ubuntu
• ☑ Bash

Version Control

• ☑ Git
• ☑ GitHub

Build Automation

• ☑ Java
• ☑ Maven

CI/CD

• ☑ Jenkins
• ☑ GitHub Actions

Containerization

• ☑ Docker
• ☑ Docker Compose
• ☑ Docker Hub / Container Registry

Container Orchestration

• ☑ Kubernetes
• ☑ kubectl
• ☑ Helm
• ☑ Minikube / Kind

Infrastructure as Code

• ☑ Terraform

Configuration Management

• ☑ Ansible

Cloud Platforms

• ☑ AWS
• ☑ Microsoft Azure
• ☑ Google Cloud

Monitoring & Observability

• ☑ Prometheus
• ☑ Grafana

Logging

• ☑ Elasticsearch
• ☑ Logstash
• ☑ Kibana

Security

• ☑ IAM
• ☑ RBAC
• ☑ Secrets Management
• ☑ Container Security
• ☑ DevSecOps

After completing this program, students should be able to design, automate, deploy, monitor, secure, and troubleshoot a complete DevOps delivery environment.

Learners will gain practical experience across the complete DevOps lifecycle:

Plan → Code → Build → Test → Package → Containerize → Provision → Configure → Deploy → Monitor → Secure → Operate

Final Skill Path:

Linux → Networking → Git → GitHub → Maven → Jenkins → GitHub Actions → Docker → Kubernetes → Terraform → Ansible → AWS/Azure/GCP → Prometheus → Grafana → ELK → DevSecOps → CI/CD → Real-World Project

Career Readiness

The program is designed to prepare learners for entry-level and intermediate opportunities in:

• ☑ DevOps Engineering
• ☑ Cloud Engineering
• ☑ CI/CD Engineering
• ☑ Kubernetes & Container Operations
• ☑ Infrastructure Automation
• ☑ Cloud Operations
• ☑ Site Reliability / Platform Engineering
• ☑ DevSecOps
• ☑ Build & Release Engineering

After completing this program, learners can target roles such as:

• ☑ DevOps Engineer
• ☑ Junior DevOps Engineer
• ☑ Associate DevOps Engineer
• ☑ Cloud DevOps Engineer
• ☑ DevOps Automation Engineer
• ☑ CI/CD Engineer
• ☑ Build & Release Engineer
• ☑ Cloud Engineer
• ☑ Cloud Infrastructure Engineer
• ☑ Kubernetes Engineer
• ☑ Containerization Engineer
• ☑ Infrastructure Automation Engineer
• ☑ Site Reliability Engineer – Junior/Associate Level
• ☑ Platform Engineer – Junior/Associate Level
• ☑ DevSecOps Engineer – Junior Level
• ☑ Release Automation Engineer
• ☑ Production Support / DevOps Support Engineer

DevOps Engineer

• ☑ Manage and maintain Linux-based environments
• ☑ Manage Git repositories and development workflows
• ☑ Build and maintain CI/CD pipelines
• ☑ Automate application build and deployment processes
• ☑ Create and manage Docker containers
• ☑ Deploy and manage applications on Kubernetes
• ☑ Automate infrastructure using Terraform
• ☑ Automate server configuration using Ansible
• ☑ Configure cloud infrastructure
• ☑ Implement monitoring and logging
• ☑ Troubleshoot application and infrastructure issues
• ☑ Collaborate with development, QA, security, and operations teams

Cloud DevOps Engineer

• ☑ Design and provision cloud infrastructure
• ☑ Work with AWS, Azure, or Google Cloud
• ☑ Configure virtual machines, networking, storage, and IAM
• ☑ Automate cloud infrastructure using Terraform
• ☑ Deploy containerized applications
• ☑ Configure Kubernetes-based cloud workloads
• ☑ Implement cloud monitoring and alerting
• ☑ Apply cloud security and cost-management practices

CI/CD Engineer

• ☑ Design CI/CD pipeline architecture
• ☑ Integrate Git repositories with CI/CD tools
• ☑ Automate application builds and testing
• ☑ Build and publish artifacts
• ☑ Build and push Docker images
• ☑ Automate application deployment
• ☑ Implement deployment approvals and environments
• ☑ Implement rollback and deployment strategies

Kubernetes / Container Engineer

• ☑ Manage Kubernetes clusters
• ☑ Create Pods, Deployments, Services, and Ingress
• ☑ Configure ConfigMaps and Secrets
• ☑ Implement application scaling
• ☑ Perform rolling updates and rollbacks
• ☑ Troubleshoot Kubernetes workloads
• ☑ Manage container images and registries
• ☑ Implement production-oriented container practices

Infrastructure Automation Engineer

• ☑ Provision infrastructure using Terraform
• ☑ Manage Terraform state
• ☑ Create reusable Terraform modules
• ☑ Configure Linux servers using Ansible
• ☑ Create Ansible playbooks and roles
• ☑ Automate application and server configuration
• ☑ Maintain infrastructure as code

Site Reliability / Platform Engineer – Junior Level

• ☑ Monitor application and infrastructure health
• ☑ Analyze metrics and logs
• ☑ Configure Prometheus and Grafana
• ☑ Implement centralized logging
• ☑ Troubleshoot production issues
• ☑ Automate repetitive operational tasks
• ☑ Support reliable and scalable application platforms