A Kubernetes operator for automating the provisioning and management of Sentry resources via Kubernetes CRDs.

This article is an update of my previous benchmark (2018 and 2019), now running Kubernetes 1.19 and Ubuntu 18.04 with CNI version up-to-date in August 2020.

TL;DR: In Kubernetes resource constraints are used to schedule the Pod in the right node, and it also affects which Pod is killed or starved at times of high load. In this blog, you will explore setting resource limits for a Flask web service automatically using the Vertical Pod Autoscaler and the metrics server.

Installs the kube-prometheus stack, a collection of Kubernetes manifests, Grafana dashboards, and Prometheus rules combined with documentation and scripts to provide easy to operate end-to-end Kubernetes cluster monitoring with Prometheus using the Prometheus Operator.

Note: This chart was formerly named prometheus-operator chart, now renamed to more clearly reflect that it installs the kube-prometheus project stack, within which Prometheus Operator is only one component.

This project is aimed at building an abstraction framework over K8s (for app deployments) in the same vein as jQuery over Javascript or Spring over servlets.

HyScale takes a simple, short Declarative definition of your service config, given the config it generates Dockerfile, Container Image, Kubernetes Manifests (YAMLs) and deploys to any Kubernetes Cluster returning back the app URL. Also it abstracts & simplifies Deployment Troubleshooting and Runtime Ops.

A reference repository of YAML with canonical and as-simple-as-possible demonstrations of kubernetes functionality and features.

A collection of scripts for various Kubernetes tasks

- Get all cluster nodes IPs and names
- See all cluster nodes CPU and Memory requests and limits
- Get all labels attached to all pods in a namespace
- Extract and decode a secret's value
- Copy secret from namespace1 to namespace2
- Get formatted list of container images in pods
- etc