DevOps Mastery
Master DevOps and SRE to develop, deploy, and operate scalable, secure systems with expertise in CI/CD, cloud architecture, and container orchestration.
- What is DevOps?
- DevOps principles and practices
- DevOps lifecycle
- Development, Build, Test, Release, Deploy, Operate, Monitor
- Culture of collaboration between development and operations teams
- Overview of SRE
- The role of SRE in organizations
- Difference between DevOps and SRE
- SRE principles
- Service-Level Objectives (SLO), Service-Level Indicators (SLI), and Error Budgets
- Git and GitHub basics
- Branching strategies (GitFlow, GitHub Flow)
- Versioning strategies
- Collaboration via pull requests and code reviews
- CI/CD pipeline overview
- Tools
- Jenkins, CircleCI, GitLab CI
- Setting up a basic CI/CD pipeline
- Introduction to Infrastructure as Code (IaC)
- Tools
- Ansible, Chef, Puppet
- Writing configuration files and automating server setups
- Introduction to Docker and containerization
- Docker basics
- containers, images, Dockerfile, Docker Compose
- Building and deploying applications in containers
- Introduction to Kubernetes and container orchestration
- Key components of Kubernetes
- Pods, Nodes, Deployments, Services
- Setting up Kubernetes clusters (Minikube)
- Integrating Docker with CI/CD pipeline
- Deploying containers on Kubernetes using CI/CD tools
- Introduction to cloud computing
- AWS, GCP, Azure
- Cloud concepts
- IaaS, PaaS, SaaS
- Setting up cloud accounts and virtual machines (VMs)
- Introduction to Terraform for IaC
- Writing Terraform scripts for provisioning cloud resources
- Managing cloud infrastructure with Terraform
- Importance of monitoring and logging in SRE
- Tools
- Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), Fluentd
- Setting up Prometheus and Grafana for monitoring
- Creating custom metrics and dashboards
- Alerts and notification setups
- Troubleshooting and performance tuning using metrics
- Automating infrastructure provisioning with Terraform
- Scaling CI/CD pipelines with Kubernetes
- Advanced GitOps and automated deployments
- Defining and measuring SLOs and SLIs
- Using error budgets to guide operations
- Real-world examples of SLOs and SLIs
- Handling incidents and outages
- Root cause analysis and postmortem culture
- Incident response tools (PagerDuty, OpsGenie)
- Securing the CI/CD pipeline
- Secrets management (HashiCorp Vault, Kubernetes Secrets)
- Integrating security into DevOps (DevSecOps)
- Horizontal vs Vertical Scaling
- Load balancing concepts and tools (HAProxy, NGINX)
- Autoscaling in Kubernetes and cloud platforms
- Designing for high availability
- Concepts of failover, replication, and disaster recovery
- Building resilient systems with Kubernetes and cloud services
- Managing capacity and performance
- Forecasting demand and managing growth
- Auto-scaling and resource allocation strategies
- Cloud cost management tools (AWS Cost Explorer, GCP Cost Management)
- Optimizing cloud resources for cost efficiency
- Managing budgets in a cloud environment
- Introduction to chaos engineering
- Tools
- Gremlin, Chaos Monkey, and LitmusChaos
- Designing and running chaos experiments
- Incident response and communication strategies
- Continuous improvement
- Postmortems and blameless culture
- SRE case studies and industry best practices
- Overview and setup of the final project
- Building a scalable, reliable, and automated application using DevOps/SRE principles
- Integrating CI/CD pipelines, Kubernetes, and monitoring
- Final presentation of the project
- Code review and feedback
- Review of the key concepts from the course
- Career tips and certifications for DevOps/SRE roles
DevOps Mastery
