Overview

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This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Master the advanced engineering practices required to build resilient, scalable, and production-ready microservices systems. This course equips you with the expertise to handle distributed transactions, optimize performance with caching, and implement robust deployment strategies using containers and orchestration tools. You’ll gain a deep understanding of reliability patterns that ensure high availability in modern cloud-native architectures. You’ll begin by exploring distributed transaction challenges and solutions, including ACID principles, SAGA patterns, compensating transactions, and the transactional outbox with CDC. Through real-world design and coding exercises, you’ll learn to maintain consistency across services while avoiding common pitfalls like dual writes and performance bottlenecks. Next, the course transitions into distributed caching strategies and performance optimization, followed by a comprehensive journey into containerization with Docker and orchestration using Kubernetes. You’ll implement CI/CD pipelines, GitOps workflows, and modern deployment strategies such as blue-green and canary releases. The final modules focus on resilience, observability, and serverless architectures. You’ll apply patterns like circuit breakers, retries, and bulkheads, and integrate monitoring tools such as Prometheus and distributed tracing systems to ensure system reliability. This course is ideal for software engineers, backend developers, DevOps professionals, and architects with prior microservices knowledge. Familiarity with APIs, cloud fundamentals, and basic containerization is recommended. The difficulty level is advanced. By the end of the course, you will be able to design, implement, and deploy fault-tolerant microservices architectures using distributed transaction patterns, container orchestration, observability tools, and serverless technologies.

Syllabus

Microservices Distributed Transactions

In this module, we will explore distributed transactions and how ACID principles apply within microservices architectures, examine challenges such as dual writes, consistency, and performance along with patterns like SAGA and Outbox, and design and implement reliable transaction workflows using CDC and optimized architectural strategies.

Microservices Distributed Caching

In this module, we will explore caching fundamentals and the role of distributed caching in microservices performance, examine different caching strategies and patterns such as cache-aside to reduce database load, and design and implement caching solutions to improve scalability and enable efficient deployments.

Microservices Deployments with Containers and Orchestrators

In this module, we will explore container-based deployments and orchestration using Docker and Kubernetes, examine DevOps practices, CI/CD pipelines, and modern deployment strategies for reliable releases, and design and implement automated deployment workflows using IaC and GitOps principles.

Microservices Resilience, Observability and Monitoring

In this module, we will explore resilience patterns and techniques to build fault-tolerant microservices systems, examine observability concepts including logging, tracing, and health checks for system visibility, and design and adapt monitoring solutions using modern tools to ensure system reliability and performance.

Serverless Microservices Architecture

In this module, we will explore serverless microservices and how they differ from traditional deployments, examine AWS services like Lambda and best practices for building scalable, event-driven systems, and design serverless architectures to handle workloads efficiently and reduce operational overhead.

Thanks

In this module, we will conclude the course by summarizing the key concepts covered across microservices architecture, reflect on the patterns, tools, and strategies learned throughout the journey, and outline next steps to continue advancing your skills in real-world microservices development.