Orchestration of containerised workloads, scalable and self-healing.
Kubernetes orchestrates containerised applications, scales them automatically depending on load and replaces failed instances on its own. You describe the desired state declaratively, and the system continuously works towards reaching and holding it. It is powerful and correspondingly demanding, but in return exceptionally robust and available everywhere, from your own data centre to every major cloud. That portability is one reason it has become the de-facto standard.
More in the documentationWe use Kubernetes when your applications need to run reliably and elastically across many servers, without anyone having to get up in the night. The moment several services interact, scale individually and should heal themselves, it shows its strength. For a single small app it is usually too much, so we choose it deliberately rather than by reflex.
apiVersion: apps/v1
kind: Deployment
metadata:
name: web
spec:
replicas: 3
selector:
matchLabels: { app: web }
template:
metadata:
labels: { app: web }
spec:
containers:
- name: web
image: registry.example.com/web:1.4.0
resources:
limits: { cpu: "500m", memory: "256Mi" }Good to know
Without resource limits and liveness probes you give away half the value of Kubernetes. Only when each pod states how much it needs and when it is healthy can the system schedule sensibly and genuinely replace failed instances.
More tools we work with in the same area.
AWS
Scalable cloud services from compute and storage to container registry.
Google Cloud
A powerful cloud platform for modern workloads.
Azure
Microsoft's cloud, ideal within existing Microsoft ecosystems.
Cloudflare
CDN, DNS and edge functions for speed and protection worldwide.
Vercel
Optimised hosting for Next.js with a global edge network.
Docker
Reproducible environments through containerisation, from dev to prod.
You don't have to decide that, it's our job. Tell us about your plans.