So I've installed grafana, loki, and prometheus on the personal Kubernetes cluster via Terraform. Now what?

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  • pritunl-k8s-tf-do

    I have a public repo where I do all my work out in the open as part of a type of homelab scenario. I'm wondering what I should be doing next now that I've installed all that monitoring/logging and want to continue playing around with it. I know there is a terraform provider for grafana and I know I should create a dashboard of some sort, but not sure exactly what to include in that dashboard? Is there some sort of way to visualize the logs that loki is collecting? What should I be doing with prometheus besides looking at the default targets? Thanks in advance!

  • experienceddevops

    /r/ExperiencedDevOps monorepo

    Like this? I suppose I've done everything except create a dashboard in grafana and alerts for it, could be worth a shot. Thanks for the actual suggestions! Definitely more along the lines of what I am looking for with this post.

  • SonarQube

    Static code analysis for 29 languages.. Your projects are multi-language. So is SonarQube analysis. Find Bugs, Vulnerabilities, Security Hotspots, and Code Smells so you can release quality code every time. Get started analyzing your projects today for free.

  • thanos

    Highly available Prometheus setup with long term storage capabilities. A CNCF Incubating project.

  • beeswithmachineguns

    A utility for arming (creating) many bees (micro EC2 instances) to attack (load test) targets (web applications).

    Thanks! I currently run Pritunl on the cluster, but I could definitely host my resume on there as well. I could stand to learn tools like https://locust.io or Bees With Machines Guns as a load testing exercise for sure. I will dive into it!

  • Pritunl

    Enterprise VPN server

    Thanks! I currently run Pritunl on the cluster, but I could definitely host my resume on there as well. I could stand to learn tools like https://locust.io or Bees With Machines Guns as a load testing exercise for sure. I will dive into it!

  • locust

    Scalable user load testing tool written in Python

    Thanks! I currently run Pritunl on the cluster, but I could definitely host my resume on there as well. I could stand to learn tools like https://locust.io or Bees With Machines Guns as a load testing exercise for sure. I will dive into it!

  • helmfile

    Deploy Kubernetes Helm Charts

    Once you do that, learn to create dynamic helm charts that use go templating and conditionals: https://github.com/roboll/helmfile

  • talent.io

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  • helm

    The Kubernetes Package Manager

    Learn how to write helm charts: https://helm.sh/

  • predator

    A powerful open-source platform for load testing APIs.

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