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Duration 35 hours
Course Outline
Advanced Concepts in Platform Engineering
- Revisiting the fundamentals of Platform Engineering
- The evolution of platform engineering relative to scalability requirements
- Core design principles for scalable platform architecture
Microservices Architecture In-Depth
- Foundational principles of microservices design
- Strategies for decomposing monolithic applications into microservices
- Exploring communication patterns and service discovery mechanisms
Advanced Containerization with Docker
- Refined containerization techniques
- Crafting optimized Docker images for microservice workloads
- Addressing container networking and storage requirements
The Kubernetes Ecosystem and Architecture
- A comprehensive exploration of Kubernetes core components
- Establishing and administering a Kubernetes cluster
- Best practices for Kubernetes networking, storage, and security
Deploying Microservices on Kubernetes
- Optimal deployment strategies for microservices
- Controlling service deployments through Helm charts
- Implementing continuous deployment workflows in Kubernetes
Observability and Monitoring for Microservices
- Setting up logging, monitoring, and alerting frameworks
- Selecting appropriate tools and platforms for observability in a Kubernetes ecosystem
- Interpreting metrics and logs to sustain system health
Scaling Strategies and Performance Tuning
- Techniques for horizontal and vertical scaling
- Configuring auto-scaling based on dynamic load
- Optimizing resource usage and performance tuning
Resilience and Reliability Engineering
- Designing for failure using resilience patterns in microservices
- Incorporating health checks, circuit breakers, and rate limiting
- Developing disaster recovery and high availability strategies
Security Posture for Microservices and Kubernetes
- Securing communication channels between microservices
- Leveraging Kubernetes security features and best practices
- Deploying service meshes to enhance security controls
Practical Implementation Project
- Architecting and deploying a scalable microservices application on Kubernetes
- Building CI/CD pipelines for automated microservice deployment
- Applying monitoring and scaling techniques to ensure sustained application performance
Wrap-Up and Future Directions
Requirements
- Foundational knowledge of containerization and orchestration principles
- Practical experience with Docker and core Kubernetes operations
- Acquaintance with cloud computing paradigms and microservices architecture
Target Audience
- Platform Engineers
- DevOps Professionals
- Software Architects
Testimonials (1)
About the microservices and how to maintenance kubernetes