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Course Outline
Advanced Platform Engineering Concepts
- Revisiting the core fundamentals of Platform Engineering
- Tracing the evolution of platform engineering towards scalability
- Key design principles for building scalable platform architectures
In-Depth Microservices Architecture
- Core principles governing microservices design
- Breaking down monolithic applications into microservices
- Exploring communication patterns and service discovery mechanisms
Docker for Containerization
- Advanced techniques for container management
- Creating optimized Docker images for microservices
- Addressing container networking and storage requirements
Kubernetes Ecosystem and Structure
- Detailed examination of Kubernetes core components
- Provisioning and administration of Kubernetes clusters
- Best practices for Kubernetes networking, storage, and security
Microservices Deployment on Kubernetes
- Strategic approaches for deploying microservices
- Managing service releases using Helm charts
- Adopting continuous deployment workflows in Kubernetes
Microservices Observability and Monitoring
- Establishing logging, monitoring, and alerting frameworks
- Utilizing observability tools within the Kubernetes ecosystem
- Interpreting metrics and logs to ensure system well-being
Scaling and Performance Optimization
- Strategies for horizontal and vertical scaling
- Implementing load-based auto-scaling services
- Refining performance and optimizing resource usage
Resilience and Reliability Engineering
- Designing for failure: applying resilience patterns in microservices
- Integrating health checks, circuit breakers, and rate limiting
- Developing disaster recovery and high availability plans
Security for Microservices and Kubernetes
- Protecting communication between microservices
- Applying Kubernetes security features and industry best practices
- Enhancing security through the implementation of service meshes
Practical Project
- Architecting and launching a scalable microservices application on Kubernetes
- Setting up CI/CD pipelines for microservices delivery
- Applying monitoring and scaling techniques to sustain application performance
Conclusion and Future Directions
Requirements
- A solid grasp of containerization and orchestration principles
- Practical experience with Docker and fundamental Kubernetes operations
- Knowledge of cloud computing concepts and microservice architectures
Target Audience
- Platform engineers
- DevOps specialists
- Software architects
35 Hours
Testimonials (1)
About the microservices and how to maintenance kubernetes