kuma VS Hystrix

https://github.com/kumahq/kuma is an CNCF OSS service mesh for Kubernetes and VMs. We're a control plane on top of Envoy proxy. Very actively developed project, some big adopters in the community, and we've just refreshed all of our Good First Issues.

And not just "Kuma" : https://github.com/kumahq/kuma

Another important change to make is that when you create the cluster, change the Nodes in the "Default pool" to use the COS (not COS_CONTAINERD) image type. There are some underlying issues when using Kuma with GKE, as noted in this GitHub issue, and this is the currently recommended workaround. Otherwise, you will hit pod initializing issues that affect certificate provisioning.

Taking things to a broader level, Kuma is another platform agnostic-OSS solution for service mesh and microservice management – with control plane support of Kubernetes, virtual machines (VM), and even bare-metal environments. Kuma was donated to the Cloud Native Computing Foundation (CNCF) by Kong and still actively contributes to the evolving code base.

Kuma Kuma, from Kong, prides itself on being a usable service mesh alternative. Kuma is a platform-agnostic control plane built on Envoy. Kuma provides networking features to secure, observe, route, and enhance connectivity between services. Kuma supports Kubernetes in addition to virtual machines.

Oops, forgot to include the Hystrix link, https://github.com/Netflix/Hystrix

They had to figure out video compression that worked at the volume that they wanted to deliver. They had to build and maintain their own CDN to be able to have a always available and consistent viewing experience. Don’t even get me started on the resiliency tools like hystrix that they were kind enough to open source. I mean, they have their own fucking data science framework and they’re looking into using neural networks to downscale video.. Sound familiar? That’s cause that’s practically the same thing as Nvidia’s DLSS (which upscales instead of downscales).

When breaking up a monolithic app into microservices, the communication between these services becomes vital to the health and performance of the application. Technically, you could incorporate the features to manage this traffic directly into your application. This is what Twitter, Google, and Netflix did with massive internal libraries like Finagle, Stubby, and Hysterix.

Hystrix: https://github.com/Netflix/Hystrix Hollow: https://hollow.how/

Have you actually read the article and maybe also https://github.com/Netflix/Hystrix status section??!

I came upon Resilience4J when I was running my talk on the Circuit Breaker pattern. The talk included a demo, and it relied on Hystrix. One day, I wanted to update the demo to the latest Hystrix version and noticed that maintainers had deprecated it in favor of Resilience4J.

Netflix was talking alot about circuit breaks a few years ago, and had the Hystrix project. Looks like Hystrix is discontinued, so I'm not sure if there are good library solutions that are easy to adopt. Overall I don't see it getting talked about that frequently... beyond just exponential backoff inside a retry loop.

- https://github.com/Netflix/Hystrix