postgres-operator VS chaos-mesh

yes, precisely. It's UI part that's broken, which cannot list snapshots. Issue is here, no fix since 2020, sadly: https://github.com/zalando/postgres-operator/issues/937

I personally like the Zalando operator better, you can add databases and users by updating the CRD, feature parity between the two on HA is pretty good

https://github.com/zalando/postgres-operator

one of the solutions which made it pretty simple for us to run postgresql in a ha environment (mostly in k8s, but works standalone as well) is zalandos patroni: https://github.com/zalando/patroni it's really solid and worked for us for a few years already.

or for k8s their operator: https://github.com/zalando/postgres-operator (docker image: https://github.com/zalando/spilo) we've also tried other operators which were easier to get started, but they failed miserably (crunchyrolls operator is basically based on the zalando one)

git clone https://github.com/zalando/postgres-operator.git cd postgres-operator

Zalando / Postgres-Operator

Somewhere between here and here i found out about that.

Here's an example of using the PostgreSQL Operator to deploy a high availability PostgreSQL cluster in Kubernetes. In this example, I'll be using the PostgreSQL Operator from Zalando [https://github.com/zalando/postgres-operator] to deploy a PostgreSQL cluster with two nodes.

Here's the operator for a postgres cluster: https://github.com/zalando/postgres-operator

And that repo you linked to has 1846 issues, 161 open. Which doesn't seem extraordinary based on my limited exposure to k8s.

Another example: https://github.com/zalando/postgres-operator/issues with 445 open issues. Why?

Maybe I'm wrong and this is all a good sign of progress, but my impression is that the entire k8s ecosystem is held together with reused duct tape.

Ive been messing around with chaos mesh recently (https://chaos-mesh.org/) and im wondering: is there any way i can define custom behaviour in one of my experiments? Specifically, I want to deploy a Pod with a certain image using an experiment.

Litmus, Gremlin, Chaos Mesh, and Chaos Monkey are all popular open-source tools used for chaos engineering. As we will be using AWS cloud infrastructure, we will also explore AWS Fault Injection Simulator (FIS). While they share the same goals of testing and improving the resilience of a system, there are some differences between them. Here are some comparisons:

https://chaos-mesh.org/ (open source)

Implement Chaos Mesh and Litmus chaos engineering framework to understand the behavior and stability of application in real-world use cases.

Here is our recent experience with Chaos Mesh for performing basic chaos engineering experiments on an application in Kubernetes.

In March 2018, an article titled Service Mesh is the broad trend, what about Database Mesh?, was pubslished on InfoQ China and went viral in the technical community. In this article, Zhang Liang, the founder of Apache ShardingSphere, described Database Mesh concept along with the idea of Service Mesh. Four years later, the Database Mesh concept has been integrated by several companies together with their own tools and ecosystems. Today, in addition to Service Mesh, a variety of “X Mesh” concepts such as ChaosMesh, EventMesh, IOMesh have emerged. Following four years of development, Database Mesh has also started a new chapter: Database Mesh 2.0.

🐒 Chaos Mesh will turn 2 on 2021.12.31! We're grateful for every contribution that helped this project grow, and we’d like to hear your Chaos Mesh story!

So i came across this recently, haven't used it myself but it seems to fit your requirements: https://github.com/chaos-mesh/chaos-mesh