Microservices – Patterns and Anti-Patterns. Service Mesh, Circuit Breaker, Saga and Other Architectural Solutions

Course Overview
This course, “Microservices: Patterns and Anti-Patterns. Service Mesh, Circuit Breaker, Saga and Other Architectural Solutions”, is crafted for experienced backend developers and software architects who already have solid experience with distributed systems design, cloud-native deployment, Kubernetes, and high-load production environments. The curriculum is technically rigorous and avoids introductory fluff, focusing instead on deep architectural issues, advanced tooling, and the trade-offs of real-world implementation. If you are transitioning from monolith to microservices, or you are responsible for the reliability, scalability, and maintainability of complex distributed systems, this course will give you critical insight and practical skills to succeed at scale.

Who Should Take This Course?
This course is for engineers who design, build, or maintain distributed applications, especially those already proficient with backend programming, container orchestration, and cloud infrastructure. It is ideal for professionals who:

• Architect or refactor large-scale systems for reliability and scalability
• Operate production workloads in Kubernetes or multi-cloud environments
• Lead or participate in microservice adoption or modernization initiatives
• Face challenges around service communication, deployment, and observability
• Are responsible for system availability, disaster recovery, and deployment automation

What You Will Learn
By completing this course, you will:

• Gain a deep understanding of modern microservice architecture, including what microservices actually solve—and what complexity they introduce.
• Learn to identify and avoid anti-patterns such as distributed monoliths, shared databases, and premature microservicification that undermine scalability and resilience.
• Master resilience patterns (Circuit Breaker, Bulkhead, Timeout, Retry) with hands-on examples using production-ready tools like Hystrix, Resilience4j, and Istio. You will be able to recognize when retries can make things worse and how to design for graceful degradation and backpressure.
• Implement distributed transactions using the Saga pattern, and explore orchestration vs. choreography. You will learn about idempotency, event sourcing, CQRS, and their operational trade-offs.
• Understand the role of API Gateway and the BFF (Backend for Frontend) pattern in modern service architectures, including practical concerns around versioning and backward compatibility.
• Get hands-on with Service Mesh (Istio, Linkerd, Consul Connect), the sidecar pattern, and the impact of mesh on observability, security, and operational complexity.
• Develop best practices for service-to-service communication, including service discovery, secure communication, API versioning, and zero-downtime deployments in real production environments.
• Learn about reliability engineering: setting SLIs, SLOs, SLAs; chaos engineering basics; centralized and decentralized logging/tracing; and how to design for failure at every level.
• Explore operational strategies: blue-green and canary deployments, infrastructure-as-code for microservices, and strategies for zero-downtime rollouts.
• Work through real-world architecture reviews, interactive design problems, and trade-off discussions—always with an eye toward what actually works at scale.

This course is concise, direct, and focused on practical knowledge. You’ll see architecture diagrams, hands-on code and YAML, and scenario-driven discussion—not just theoretical patterns. You’ll walk away with a toolkit for architecting and operating resilient, observable, and evolvable microservice systems.