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Course Outline

Advanced Concepts in Platform Engineering

  • Review of foundational platform engineering principles.
  • Understanding the evolution of platform engineering in relation to scalability.
  • Core design principles for building scalable platform architectures.

In-Depth Analysis of Microservices Architecture

  • Key principles of microservices design.
  • Strategies for decomposing monolithic applications into microservices.
  • Communication patterns and service discovery mechanisms.

Containerization with Docker

  • Advanced techniques for containerization.
  • Creating optimized Docker images for microservices.
  • Considerations for container networking and storage.

Kubernetes Ecosystem and Architecture

  • Comprehensive exploration of Kubernetes components.
  • Setting up and managing Kubernetes clusters.
  • Best practices for Kubernetes networking, storage, and security.

Deploying Microservices on Kubernetes

  • Deployment strategies for microservices.
  • Managing service deployments using Helm charts.
  • Implementing continuous deployment practices within Kubernetes.

Observability and Monitoring in Microservices

  • Implementing logging, monitoring, and alerting systems for microservices.
  • Overview of tools and platforms for observability in the Kubernetes ecosystem.
  • Analyzing metrics and logs to maintain system health.

Scaling and Performance Tuning

  • Strategies for horizontal and vertical scaling.
  • Configuring auto-scaling services based on load.
  • Performance tuning and resource optimization techniques.

Resilience and Reliability Engineering

  • Designing for failure: resilience patterns in microservices.
  • Implementing health checks, circuit breakers, and rate limiting.
  • Disaster recovery and high availability strategies.

Security Considerations for Microservices and Kubernetes

  • Securing communication between microservices.
  • Kubernetes security features and best practices.
  • Implementing service meshes for enhanced security.

Hands-On Project

  • Designing and deploying a scalable microservices application on Kubernetes.
  • Implementing CI/CD pipelines for microservices deployment.
  • Applying monitoring and scaling practices to maintain application performance.

Summary and Next Steps

Requirements

  • Understanding of containerization and orchestration concepts.
  • Hands-on experience with Docker and fundamental Kubernetes operations.
  • Familiarity with cloud computing principles and microservices architecture.

Target Audience

  • Platform engineers.
  • DevOps professionals.
  • Software architects.
 35 Hours

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