Advanced Platform Engineering: Scaling with Microservices and Kubernetes

• 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

Advanced Platform Engineering is the strategic application of microservices and Kubernetes to scale applications efficiently and reliably.

This instructor-led, live training (online or onsite) is aimed at advanced-level platform engineers and DevOps professionals who wish to master scaling applications using microservices and Kubernetes.

By the end of this training, participants will be able to:

• Design and implement scalable microservices architectures.
• Deploy and manage applications on Kubernetes clusters.
• Utilize Helm charts for efficient service deployment.
• Monitor and maintain the health of microservices in production.
• Apply best practices for security and compliance in a Kubernetes environment.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

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