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Course Outline
Advanced Concepts in Platform Engineering
- Review of Platform Engineering fundamentals.
- The evolution of platform engineering in the context of scalability.
- Design principles for scalable platform architecture.
Deep Dive into Microservices Architecture
- Principles of microservices design.
- Decomposing monolithic applications into microservices.
- Communication patterns and service discovery.
Containerization with Docker
- Advanced containerization techniques.
- Building optimized Docker images for microservices.
- Container networking and storage considerations.
Kubernetes Ecosystem and Architecture
- In-depth exploration of Kubernetes components.
- Setting up and managing a Kubernetes cluster.
- Kubernetes networking, storage, and security best practices.
Deploying Microservices on Kubernetes
- Deployment strategies for microservices.
- Managing service deployments with Helm charts.
- Continuous deployment practices in a Kubernetes environment.
Observability and Monitoring in Microservices
- Implementing logging, monitoring, and alerting for microservices.
- Tools and platforms for observability in a Kubernetes ecosystem.
- Analyzing metrics and logs to maintain system health.
Scaling and Performance Tuning
- Horizontal and vertical scaling strategies.
- Auto-scaling services based on load.
- Performance tuning and resource optimization.
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 microservice communications.
- 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
- An understanding of containerization and orchestration concepts.
- Experience with Docker and basic Kubernetes operations.
- Familiarity with cloud computing and microservices architecture.
Audience
- Platform engineers.
- DevOps professionals.
- Software architects.
35 Hours
Testimonials (1)
About the microservices and how to maintenance kubernetes