This course provides a comprehensive introduction to the principles of DevOps and the modern tools used for containerization, orchestration, and cloud deployment. By the end of the course, participants will understand how to efficiently streamline the software development lifecycle and deploy applications on leading cloud platforms like AWS or Azure.
1. Introduction to DevOps
- What is DevOps?
- Definition and key objectives.
- History and evolution of DevOps practices.
- Core Principles
- Collaboration between Development and Operations teams.
- Automation, continuous integration, and continuous delivery (CI/CD).
- Monitoring and feedback loops.
- Benefits of DevOps
- Faster delivery of features.
- Improved team collaboration and productivity.
- Enhanced system stability and reliability.
2. Containerization with Docker
- Understanding Containers
- What is containerization and why it’s essential.
- Differences between virtual machines and containers.
- Introduction to Docker
- Overview of Docker architecture: Docker Engine, Images, Containers, and Registries.
- Key Docker commands and workflows.
- Creating and Managing Containers
- Writing Dockerfiles to define containerized applications.
- Building, running, and managing Docker images.
- Docker Compose
- Managing multi-container applications with Docker Compose.
- Writing YAML configuration files for service orchestration.
- Docker Best Practices
- Security considerations.
- Optimizing Docker images.
3. Orchestration with Kubernetes
- Why Orchestration is Necessary
- Managing multiple containers and scaling applications.
- Introduction to Kubernetes
- Overview of Kubernetes architecture: Nodes, Pods, Services, and the Control Plane.
- Core concepts: Deployments, ReplicaSets, ConfigMaps, and Secrets.
- Setting Up a Kubernetes Cluster
- Deploying and managing clusters using cloud providers or local tools like Minikube.
- Application Deployment with Kubernetes
- Writing Kubernetes YAML manifests.
- Rolling updates and rollbacks.
- Monitoring and Scaling
- Horizontal Pod Autoscaling (HPA).
- Tools for monitoring: Prometheus and Grafana.
- Advanced Topics
- Helm charts for package management.
- Stateful applications in Kubernetes.
4. Cloud Platforms: AWS or Azure
- Overview of Cloud Computing
- Characteristics of cloud platforms: Scalability, elasticity, and pay-as-you-go.
- Types of cloud services: IaaS, PaaS, and SaaS.
- Introduction to AWS
- Key services: EC2, S3, RDS, Lambda, and ECS.
- Setting up and managing an AWS account.
- Introduction to Azure
- Key services: Virtual Machines, Blob Storage, Azure Kubernetes Service (AKS), and Azure Functions.
- Navigating the Azure portal.
- Deploying Applications to the Cloud
- Deploying containerized applications using Elastic Kubernetes Service (EKS) or AKS.
- Configuring storage and networking for cloud-based applications.
- Cloud Best Practices
- Cost management and optimization.
- Security and compliance considerations.
5. Building CI/CD Pipelines
- Why CI/CD Matters
- Continuous integration for code quality.
- Continuous delivery and deployment for faster releases.
- CI/CD Tools
- Overview of popular tools: Jenkins, GitHub Actions, and GitLab CI/CD.
- Pipeline Design
- Building a pipeline: Source control, build, test, and deploy stages.
- Integrating Docker and Kubernetes into CI/CD workflows.
- Deploying with Automation
- Automating cloud deployments with Infrastructure as Code (IaC) tools like Terraform or AWS CloudFormation.
6. Real-World Project
- Capstone Project
- Participants will work on deploying a real-world application using Docker, Kubernetes, and AWS/Azure.
- Implementing a CI/CD pipeline for automated deployment.
- Monitoring and scaling the application.
7. Trends and Future of DevOps
- Emerging Practices
- GitOps for declarative infrastructure management.
- Serverless computing and microservices.
- Career Paths in DevOps
- Roles like DevOps Engineer, Cloud Architect, and Site Reliability Engineer (SRE).
- Tips for certification exams: AWS Certified DevOps Engineer, Microsoft Certified: Azure DevOps Engineer, etc.
This course is designed for software developers, system administrators, and IT professionals aiming to enhance their skills in modern software deployment techniques and cloud infrastructure management.
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