Master DevOps and Automation
Unlock the full potential of DevOps and Automation with our comprehensive training course designed for IT professionals and developers.
This Course Includes
- 10 Sessions
- 30 Hours of Hands-on Training
- Multiple Tools and Platforms (e.g., Docker, Kubernetes, Jenkins)
- Online Practical Training
- Learn DevOps and Automation Skills
- Practical Tasks, Lectures, and More
- CI/CD Pipeline and Infrastructure Automation Content with Hands-on Training
Things You'll Learn
- Core principles of DevOps culture and practices
- Building and managing CI/CD pipelines
- Infrastructure as Code (IaC) with tools like Terraform
- Containerization with Docker and orchestration with Kubernetes
- Monitoring and logging for automated systems
Course Content
Introduction to DevOps
- Overview of DevOps principles, culture, and benefits.
- Bridging development and operations for faster delivery.
- Key DevOps practices: Continuous Integration, Continuous Deployment, and Automation.
- Understanding the DevOps lifecycle: Plan, Code, Build, Test, Release, Deploy, Operate, Monitor.
- Introduction to popular DevOps tools: Git, Jenkins, Docker, Kubernetes.
- Setting up a DevOps environment with cloud platforms (AWS, Azure, GCP).
- Hands-on exercise: Configuring a basic Git repository and workflow.
- Real-world examples: How Netflix and Amazon leverage DevOps for scalability.
- Collaborative tools: Slack, Jira, and Confluence integration.
- Defining roles: DevOps engineer, SRE, and automation specialist.
- Practical setup: Installing essential tools on your local machine.
Continuous Integration and Deployment
- Building CI/CD pipelines with Jenkins and GitHub Actions.
- Automating code builds, tests, and deployments.
- Configuring webhooks and triggers for continuous integration.
- Writing pipeline scripts using declarative and scripted syntax.
- Hands-on lab: Setting up a CI pipeline for a sample application.
- Deploying applications to staging and production environments.
- Using artifacts and repositories (e.g., Nexus, Artifactory).
- Rollback strategies and blue-green deployments.
- Integrating automated testing (unit, integration, and end-to-end).
- Hands-on lab: Deploying a web app with zero downtime.
- Monitoring pipeline performance and troubleshooting failures.
- Scaling CI/CD for enterprise-grade projects.
Infrastructure as Code (IaC)
- Introduction to IaC concepts and benefits.
- Using Terraform to provision cloud infrastructure.
- Writing Terraform configuration files (HCL) for AWS, Azure, or GCP.
- Managing state files and remote backends.
- Hands-on exercise: Deploying a VPC with Terraform.
- Ansible for configuration management and automation.
- Writing playbooks to automate server setup and updates.
- Idempotency and best practices in IaC.
- Integrating IaC with CI/CD pipelines.
- Hands-on lab: Automating a multi-tier application stack.
- Versioning infrastructure code with Git.
- Real-world scenario: Managing 100+ servers with IaC.
Containerization and Orchestration
- Introduction to containers and Docker fundamentals.
- Building and running Docker images for applications.
- Writing Dockerfiles and managing container registries.
- Hands-on exercise: Containerizing a Node.js app.
- Kubernetes architecture: Pods, Nodes, Clusters, and Services.
- Deploying applications to Kubernetes with YAML manifests.
- Scaling and self-healing with ReplicaSets and Deployments.
- Hands-on lab: Setting up a Kubernetes cluster with Minikube.
- Service discovery and load balancing in Kubernetes.
- Managing secrets and configurations securely.
- Real-world example: Orchestrating a microservices architecture.
- Monitoring containers with Prometheus and Grafana.
Monitoring and Automation
- Setting up monitoring with Prometheus and Grafana.
- Collecting metrics from applications and infrastructure.
- Creating dashboards for real-time insights.
- Hands-on exercise: Monitoring a Kubernetes cluster.
- Logging with ELK Stack (Elasticsearch, Logstash, Kibana).
- Automating alerts with tools like PagerDuty or Slack.
- Scripting automation tasks with Bash and Python.
- Hands-on lab: Writing a script to automate server health checks.
- Implementing auto-scaling based on metrics.
- Chaos engineering: Testing system resilience with tools like Chaos Monkey.
- Hands-on project: Building an end-to-end automated pipeline.
- Best practices for observability in DevOps.
Why Choose This Course?
- Expert-led sessions by DevOps professionals
- Hands-on labs with real-world scenarios
- Flexible online delivery to suit your schedule
- Comprehensive case studies and practical tasks
- Prepares you for DevOps certifications (e.g., AWS DevOps, Kubernetes)