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Advanced Kubernetes YAML configs - Best Practices, Tips & Tricks, Production-Ready Checklist - experience from several production environments. AWS, GCP, Azure, ArgoCD, GKE, EKS, AKS, Nginx, Traefik, Kong, Cert Manager, CI/CD, Jenkins, Artifactory, TeamCity, GitHub Actions, Cloud SQL, FluxCD, Spinnaker, Selenium Grid, Moon, Helm + Kustomize

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HariSekhon/Kubernetes-configs

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Kubernetes configs

GitHub stars GitHub forks Codacy Badge Lines of Config License My LinkedIn GitHub Last Commit

CI Builds Overview Repo on GitHub Repo on GitLab Repo on Azure DevOps Repo on BitBucket

Kubevious Kustomize Installs Kustomize Namespace Kustomize Objects Namespaced YAML JSON Validation

Pluto Kustomize Nova Checkov Grype Kics Semgrep Semgrep Cloud Trivy

git.io/k8s-configs

Intro

Advanced Kubernetes YAML configurations & templates, based on my experiences running Kubernetes in production at different companies.

The top-level directory contains standard Kubernetes object templates with many Best Practices, Tips & Tricks learned over time across production environments.

The sub-directories contain ready-to-run real world apps that I've run across environments.

Templates

Start with deployment.yaml / statefulset.yaml, for advanced users see kustomization.yaml.

The service.yaml and ingress.yaml configs contain settings for using static public IP addresses and locking down your cloud load balancer's firewall rules eg. to private IP addresses, and patches for Cloudflare Proxied or VPN IPs. You may need to extend those IP lists to your office / VPN / public addresses if really want to permit direct internet access to your ingresses and aren't proxying them through a WAF in proxied mode etc.

See also the Dockerfile template in the HariSekhon/Templates repo to containerize your custom apps for deploying on to Kubernetes.

Apps

Real-world app deployments are found in the more specific <app>/ directories.

These follow the standard Kustomize <app>/base/ and <app>/overlay/ layout to make it easy to use as-is by just tweaking a couple settings in the overlay to your specific environment.

CI/CD

Advanced auto-scaling production-grade CI/CD on Kubernetes:

Helm Repos

Helm repos you should probably have installed:

Repo Label URL
stable https://charts.helm.sh/stable
bitnami https://charts.bitnami.com/bitnami
fairwinds-stable https://charts.fairwinds.com/stable

Table generated from helm-repos.txt by script generate_repos_markdown_table.sh

These repos can quickly installed in one command using script install_repos.sh:

./install_repos.sh

Helm + Kustomize integration

See kustomization.yaml for 2 methods provided:

  1. template the Helm chart using a values.yaml to Git and serve from there (see DevOps Bash Tools for the helm_template.sh convenience script)
  2. dynamically load the Helm chart from upstream with a values.yaml

...then patch override anything the chart doesn't directly support using the standard Kustomize patching examples given in the kustomization.yaml.

Production Ready Checklist

Further Documention

The best documentation links are provided at the top of each yaml for fast referencing (my advanced .vimrc can open these URLs from the current file via a hotkey!)

See also HariSekhon/Knowledge-Base, especially:

Extra Docs

Datree Kubernetes ArgoCD best practices

Environment Enhancements

.envrc - use with direnv to auto-load correct Kubernetes context isolated to current shell to avoid race conditions between shells and scripts caused by naively changing the global ~/.kube/config context

Shortcut symlinks are for faster instantiation from these configs using the standard kubernetes shortcuts such as new pvc.yaml - see the Templates repo for more details on the new command to fast create new files from templates.

Diagrams

For more amazing diagrams see HariSekhon/Diagrams-as-Code

Kubernetes Deployment with Horizontal Pod Autoscaler and Ingress

Kubernetes Stateful Architecture with persistent volumes

Kubernetes Service External Traffic Policy

Kubernetes on Premise

with MetalLB:

Is it just me or do MetaLB think they're Starfleet? (compare their logos)

Traefik Ingress on GKE

A Traefik deployment I did for a client using:

alternative diagram:

Kong API Gateway on AWS EKS

A Kong API Gateway deployment I did for a client using:

Jenkins on Kubernetes

A production Jenkins on Kubernetes I built for a client with auto-spawning agents for horizontal scaling and integration with Docker, SonarQube, Clair, Grype and Trivy for code & container scanning.

Useful Notes

HariSekhon/Knowledge-Base - Jenkins

HariSekhon/Knowledge-Base - Jenkins-on-Kubernetes

screenshot:

ArgoCD - GitOps for Kubernetes

argocd.d2:

OpenTSDB on Kubernetes and HBase

A high scale production OpenTSDB replatform I did to Kubernetes for a client, ingesting 9 billion data points per day and serving 3 million queries per day.

I also had to do advanced performance tuning of their production HBase cluster which was suffering from frequent outages at this scale due to being set up by a non-SME on the wrong hardware (I had to make do with the existing hardware of course).

This was the second client I did in-depth performance tuning of HBase for - I've published a selection of useful HBase tools - see hbase_*.py and opentsdb_*.py in my DevOps Python tools repo.

History

Forked from the Templates repo.

Stargazers over time

Stargazers over time

git.io/k8s-configs

More Core Repos

Knowledge

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DevOps Code

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Containerization

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CI/CD

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DBA - SQL

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DevOps Reloaded

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Templates

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Misc

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The rest of my original source repos are here.

Pre-built Docker images are available on my DockerHub.

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Advanced Kubernetes YAML configs - Best Practices, Tips & Tricks, Production-Ready Checklist - experience from several production environments. AWS, GCP, Azure, ArgoCD, GKE, EKS, AKS, Nginx, Traefik, Kong, Cert Manager, CI/CD, Jenkins, Artifactory, TeamCity, GitHub Actions, Cloud SQL, FluxCD, Spinnaker, Selenium Grid, Moon, Helm + Kustomize

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