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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.