Microservices Observability and Resilience with Polly and OpenTelemetry

Building a microservices architecture is only the first step; ensuring those services are reliable, traceable, and easy to debug is what defines a production-ready system. This course focuses on the essential cross-cutting concerns that keep distributed systems running smoothly even when individual components fail. You will learn how to transform fragile service communications into a robust ecosystem by applying modern observability and resilience patterns. By the end of this course, you will be able to implement centralized logging, track requests across service boundaries, and protect your applications from cascading failures using industry-standard tools. What you'll learn: - Implement distributed logging using the Elastic Stack and Serilog to centralize system insights. - Apply resilience patterns like Retry and Circuit Breaker using Polly to manage transient service failures. - Configure comprehensive health checks to monitor the status of services and their dependencies. - Integrate distributed tracing with OpenTelemetry and Zipkin to visualize request flows across the network. - Master structured logging and context propagation for more efficient troubleshooting. - Utilize Docker Compose to manage the infrastructure required for observability and monitoring tools. This course begins with an introduction to core observability pillars and the fundamentals of fault tolerance. You will then progress through written technical explanations and code-based examples that demonstrate how to apply these concepts to real-world microservices scenarios. This course is designed for developers and aspiring architects who are new to microservices and want to understand how to manage complexity in distributed environments. No prior experience with observability tools is required to begin. Start building more reliable and transparent microservices today.