One of the ways that microservices architectures differ from monolithic architectures, is that they add latency to request processing. This has consequences for what techniques you need to use when writing highly performant code. In particular, you need to do more things asynchronously. This talk covers some of my learnings from six years of working with asynchronous microservices and gives you some advice about how to choose a the right tool for the job. Tools and libraries covered: Guava, RxJava and Spotify's Trickle (which I am one of the authors of).
Author:
Petter Måhlén
Currently building infrastructure and developer tools at Spotify, Petter has nearly 20 years of experience of software development in many roles: developer, project manager, product owner, CTO, architect, etc. The last few years, he has eschewed management roles for love of coding, and has worked mostly on building large-scale distributed systems for the web.
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