POLL: How do you orchestrate your provisioning?

This page summarizes the projects mentioned and recommended in the original post on reddit.com/r/devops
#Kubernetes #Cncf #Helm #Docker #Golang

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  • SonarLint - Clean code begins in your IDE with SonarLint
  • InfluxDB - Access the most powerful time series database as a service
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Our great sponsors

  • envoy

    Cloud-native high-performance edge/middle/service proxy

    https://www.envoyproxy.io/ (used by AWS App Mesh, the service mesh we use for service discovery and mTLS)

  • tilt

    Define your dev environment as code. For microservice apps on Kubernetes.

    https://tilt.dev/ (containerized development frontend geared towards local dev, support docker-compose and k8s)

  • SonarLint

    Clean code begins in your IDE with SonarLint. Up your coding game and discover issues early. SonarLint is a free plugin that helps you find & fix bugs and security issues from the moment you start writing code. Install from your favorite IDE marketplace today.

  • kind

    Kubernetes IN Docker - local clusters for testing Kubernetes

    https://kind.sigs.k8s.io/ (kubernetes-in-docker, the k8s distribution we’re recommending for local dev.)

  • helm

    The Kubernetes Package Manager

    https://helm.sh/ (a yaml based package manager used to tell k8s how to run your service)

  • chart-testing

    CLI tool for linting and testing Helm charts

    When a dev creates a PR to the gitops repo, have Jenkins/github actions/gitlab/etc checkout his branch and try to install the manifest/helm chart on your dev kubernetes cluster. Then have it comment back on the PR if it succeeded or not, simple as that. Helm also has chart-testing utilities for CI, but in that case your CI would have to install crossplane on some Kind cluster and that's a bit tricky, so better just use your already existing dev cluster configured with crossplane and the right permissions.

  • InfluxDB

    Access the most powerful time series database as a service. Ingest, store, & analyze all types of time series data in a fully-managed, purpose-built database. Keep data forever with low-cost storage and superior data compression.

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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