Cloud & DevOps

Kubernetes

An open-source container orchestration platform that automates deployment, scaling, and management of containerized workloads.

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01What it is

In production terms.

Kubernetes schedules containers across node pools, manages service discovery, handles rolling updates, and self-heals failed pods. Declarative YAML manifests define desired state, and controllers reconcile running infrastructure to match.

Codeaxes adopts Kubernetes, EKS, GKE, or AKS, when products outgrow single-container deployments and need horizontal scaling, zero-downtime rollouts, or multi-service mesh architectures. Helm charts and GitOps workflows keep cluster state version-controlled.

02Fit

Best-fit use cases.

01Multi-service SaaS with independent scaling per microservice
02Zero-downtime deployments with rolling updates and readiness probes
03Auto-scaling worker pools based on CPU, memory, or custom metrics
04Multi-tenant platforms with namespace isolation per customer tier

03Trade-offs

Benefits and limits.

Benefits

Declarative manifests enable reproducible infrastructure across environments
Built-in service discovery, load balancing, and health checking
Horizontal pod autoscaling responds to traffic spikes automatically
Portable across AWS EKS, GKE, AKS, and self-managed clusters

Limitations

Operational overhead is significant for teams without dedicated platform engineers
YAML complexity and CRD proliferation can slow onboarding
Overkill for single-service apps better served by Cloud Run or App Service

04Ecosystem

Compatible technologies.

05In the field

Example applications.

SaaS platform running 12 microservices on EKS with Helm and ArgoCD
Auto-scaling API tier handling tenfold traffic spikes during product launches
Staging environment per pull request using namespace-per-branch isolation

06Services

Where this stack shows up.

07Cloud & DevOps

Use Kubernetes on a Codeaxes engagement.

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