Looking for tools to help smoke test kubernetes clusters

This page summarizes the projects mentioned and recommended in the original post on /r/kubernetes

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
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SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
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  • e2e-framework

    A Go framework for end-to-end testing of components running in Kubernetes clusters.

  • e2e-framework

  • bats

    Discontinued Bash Automated Testing System

  • Bats

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
  • k-bench

    Workload Benchmark for Kubernetes

  • Sorry for not looking first.. https://github.com/vmware-tanzu/k-bench looks promising

  • goss

    Quick and Easy server testing/validation

  • testkube

    ☸️ Kubernetes-native Test Execution and Orchestration framework. It runs all types of tests, including Load Testing, End To End Testing, Front End, API Testing, etc... Integrates directly with you testing stack (K6, Postman, Playwright, Cypress,..)

  • What runs the tests is something called executors, currently the project already has Cypress, Postman & k6 executors and it's very easy to write new ones. You can open a github issue asking for a new executor that you would like to have (or you can also contribute it yourself if you are into that πŸ˜‹)

  • terraplate

    DRY Terraform with Go Templates

  • I won't be able to share the Terraform files (customer work), but we use the AWS EKS module for the clusters, and our own quite specific modules, and then use Terraplate (a project I authored) to keep the Terraform configs dry.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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