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Course Outline

Advanced Concepts in Platform Engineering

  • Overview of foundational platform engineering principles
  • The progression of platform engineering capabilities within scalable systems
  • Core design tenets for constructing scalable platform architectures

Comprehensive Analysis of Microservices Architecture

  • Fundamental principles governing microservices design
  • Strategies for decomposing monolithic applications into modular components
  • Communication protocols and service discovery mechanisms

Containerization Using Docker

  • Advanced techniques for container management
  • Construction of optimized Docker images tailored for microservices
  • Considerations for container networking and persistent storage

Kubernetes Ecosystem and Architecture

  • Detailed examination of Kubernetes core components
  • Procedures for provisioning and administering a Kubernetes cluster
  • Best practices for Kubernetes networking, storage management, and security

Deployment of Microservices on Kubernetes

  • Deployment methodologies for microservice workloads
  • Management of service deployments using Helm charts
  • Continuous deployment frameworks within a Kubernetes environment

Observability and Monitoring in Microservices

  • Implementation of logging, monitoring, and alerting infrastructures for microservices
  • Evaluating tools and platforms to ensure observability within the Kubernetes ecosystem
  • Analysis of metrics and logs to sustain system integrity

Scaling and Performance Optimization

  • Strategies for horizontal and vertical scaling
  • Automated scaling services in response to operational load
  • Performance tuning and resource allocation optimization

Resilience and Reliability Engineering

  • Designing for failure: resilience patterns applicable to microservices
  • Implementation of health checks, circuit breakers, and rate limiting controls
  • Strategies for disaster recovery and high availability

Security Requirements for Microservices and Kubernetes

  • Ensuring the integrity of microservice communications
  • Kubernetes security features and adherence to established best practices
  • Deployment of service meshes to enhance security posture

Practical Application Project

  • Designing and deploying a scalable microservices application on Kubernetes for government operations
  • Establishing CI/CD pipelines to support microservices deployment
  • Applying monitoring and scaling protocols to sustain application performance

Summary and Future Directions

Requirements

  • Demonstrated comprehension of containerization and orchestration principles
  • Practical experience utilizing Docker and fundamental Kubernetes management functions
  • Knowledge of cloud infrastructure and microservices design patterns

Target Audience

  • Platform engineers
  • DevOps practitioners
  • Software architects
 35 Hours

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