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Course Outline

Microservices Architecture

  • Core principles underpinning microservices
  • Essential components and service design methodologies
  • Standard patterns in microservices development
  • Strategies for inter-service communication
  • Managing distributed transactions within microservices
  • Security implications in microservice architectures
  • Service orchestration and discovery mechanisms
  • Containerizing microservices for portability
  • Monitoring and observability of microservice ecosystems
  • Overview of Serverless computing and Event Sourcing

Container-Based Application Design

  • Foundations of containerization concepts
  • Docker workflows: creating and managing containers
  • Design guidelines for container-native applications
  • Kubernetes fundamentals and container orchestration
  • Networking within containerized ecosystems
  • Security hardening and best practices for containers
  • Leveraging Service Mesh for microservice communication
  • Strategies for load balancing and horizontal scaling
  • Implementing distributed tracing and metric collection
  • Infrastructure as Code (IaC) for containerized deployments
  • Establishing a container deployment infrastructure

CI/CD Deployment Strategies

  • Fundamental concepts of CI/CD pipelines
  • Essential tools and technologies for automation
  • Automating build processes and version control
  • Implementing automated testing within CI/CD workflows
  • Release automation and deployment strategies
  • Incorporating Infrastructure as Code (IaC) into deployments
  • Deployment patterns: Blue-Green, Canary, and Rolling updates
  • Integrating security into the DevOps lifecycle (DevSecOps)

Advanced Best Practices & Considerations

  • Best practices for achieving architectural resilience
  • Performance tuning and scalability considerations
  • Disaster recovery planning for microservices and containerized workloads

Summary and Future Directions

Requirements

  • Fundamental understanding of software development principles
  • Conceptual grasp of cloud computing environments
  • Proficiency in using the Linux command line

Target Audience

  • Software Developers
  • DevOps Engineers
  • Cloud Architects
  • System Administrators
 21 Hours

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