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The success of Chill+ is soaring, but so are its infrastructure costs. As a software engineer for this nextgen video streaming platform, it’s up to you to devise a cost-mitigating plan. Your solution is to reduce resource consumption by implementing crucial interservice communication and fault tolerance. You’ll use a REST client to integrate with another HTTP service, mock external calls with Mockito, and run tests against a mock HTTP server using a fixture. You’ll use the Quarkus Fault Tolerance extension to incorporate resiliency patterns, and you’ll implement error handling by adding retries, timeouts, circuit breakers, and fallbacks to the Catalog API. When you’re done, Chill+’s catalog service will return more accurate results to its customers with fewer requests, and have increased—and less costly—fault resilience.
This liveProject is for software engineers with basic experience with cloud-native patterns and building Java applications. To begin these liveProjects you’ll need to be familiar with the following:TOOLS
In this liveProject, you’ll learn how to integrate with a third-party HTTP service and implement fault tolerance strategies.
geekle is based on a wordle clone.