Service mesh patterns
Who is this presentation for?
- Software engineers and DevOps engineers
As the industry starts to go toward cloud native infrastructure and building applications out of microservices, we must fully face the drawbacks and challenges to doing so. Some of these challenges include how to consistently monitor and collect statistics, tracing, and other telemetry, how to add resiliency in the face of unexpected failure, how to do powerful feature routing (i.e., feature graduation and tap compare), and much more, like securing your services correctly. Service mesh, in general, helps developers solve this in a noninvasive way.
Alex Soto dives into how you can take advantage of these capabilities and some patterns that you can implement easily with a service mesh to make your delivery to production smoothly and without surprises. Most developers haven’t adequately solved for these issues, so Alex takes it to step by step and builds you a strong understanding of Istio and its patterns so you can harness its power in your production services architecture.
- A basic understanding of Kubernetes
What you'll learn
- Learn that service mesh solves most of the cross-cutting concerns of microservices architecture and that service mesh lets you release more and more often
- Understand that deploy is not release, and you can take advantage of it
Alex Soto is a software engineer in the Developers Group at Red Hat. He’s passionate about Java World, software automation, and he believes in the open source software model. Alex is the creator of NoSQLUnit project, member of JSR374 (Java API for JSON Processing) Expert Group, the coauthor of Testing Java Microservices, Istio RefCard, and contributor of several open source projects. A Java Champion since 2017 and international speaker, he’s talked about new testing techniques for microservices, continuous delivery in the twenty-first century, and Java.
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