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Kubernetes: Infrastructure that keeps itself running and scales itself automatically.

Kubernetes Container Orchestration

Kubernetes is a system for running containerised applications in production at scale. When a product grows beyond what a single server can handle, or when reliability requirements mean that a single point of failure is not acceptable, Kubernetes manages the complexity of running the application across multiple servers. It decides where each container runs, restarts containers that fail, distributes traffic across healthy instances, and scales the number of running instances up or down based on demand - all automatically, without someone needing to intervene.

The self-healing aspect of Kubernetes is one of its most practical benefits. When a container crashes - and containers do crash, for all kinds of reasons - Kubernetes detects it and starts a replacement immediately, usually before any user notices something went wrong. When a server in the cluster becomes unhealthy, Kubernetes moves the containers that were running on it to other healthy servers. When a deployment introduces a bug, Kubernetes can roll it back to the previous version. The system is designed with the assumption that individual components will fail, and it handles those failures automatically rather than requiring manual intervention.

Kubernetes also handles deployments without downtime. When a new version of the application is deployed, Kubernetes replaces the running containers gradually - starting new containers with the new version, waiting for them to be healthy, then removing the old ones. At no point is the application unavailable. Users continue to use the product while the deployment happens in the background. For products where downtime has a direct cost - lost revenue, broken trust, SLA penalties - this capability is not optional.

What this means for your product:
  • Application that recovers automatically from failures without manual intervention
  • Deployments that happen without taking the product offline
  • Automatic scaling when traffic increases and scale-down when it drops
  • Infrastructure that is defined in code - reproducible, auditable, and version controlled
Chips:

Kubernetes · Auto-scaling · Self-healing · Zero-downtime · Helm · Ingress · HPA · GitOps