Container Orchestration

Containers That
Scale Themselves.
Zero Babysitting.

We containerise your application with Docker, orchestrate it with Kubernetes, and set up auto-healing, auto-scaling clusters that manage themselves — freeing your team to focus on code, not servers.

Get K8s Setup Start with Docker

Layer 1 — Docker

Containerise Your App
the Right Way

Most developers write Dockerfiles that work in dev but are bloated, insecure, and slow in production. We write production-grade Dockerfiles from the ground up.

Multi-stage builds

Separate build and runtime stages — your final image contains only what your app needs to run. Typical result: 800 MB → 120 MB image.

Non-root user security

Every container we build runs as a non-root user. Combined with read-only filesystem layers and dropped capabilities — minimal attack surface.

Layer caching optimisation

Dockerfile instructions ordered for maximum cache reuse. Dependency layers cached separately from source code — rebuilds go from 4 min to 30 sec.

Docker Compose for local dev

Full local environment in one command — app, database, Redis, mock services. New developer onboarding from hours to under 10 minutes.

Multi-architecture builds

ARM64 + AMD64 multi-arch images via buildx. Run the same image on Apple Silicon dev laptops and AWS Graviton production servers.

Dockerfile — production multi-stage

# ── Stage 1: Build ────────────────── FROM node:20-alpine AS builder WORKDIR /app COPY package*.json ./ RUN npm ci --only=production COPY . . RUN npm run build # ── Stage 2: Runtime ──────────────── FROM node:20-alpine AS runner RUN addgroup -S app && adduser -S app -G app WORKDIR /app COPY --from=builder /app/dist ./dist COPY --from=builder /app/node_modules ./node_modules USER app EXPOSE 3000 CMD ["node", "dist/server.js"] # Result: 850 MB → 98 MB ✓ $ █

Layer 2 — Kubernetes

Production K8s Clusters
That Run Themselves

Kubernetes is powerful but complex. We handle the full cluster lifecycle — from initial setup to ongoing operations — so your team gets all the benefits without the learning curve.

☸️

Cluster Setup & Config

EKS (AWS), GKE, or bare-metal cluster provisioned with Terraform. Node groups, VPC CNI, IAM roles for service accounts, and RBAC configured from day one.

EKSTerraformIAM-IRSARBAC

⛵

Helm Chart Authoring

Every service packaged as a Helm chart — versioned, configurable, and reusable. Values files per environment (dev / staging / prod) with secrets managed via Sealed Secrets or Vault.

Helm 3Sealed SecretsHelmfile

📈

Horizontal Pod Autoscaling

CPU and memory-based HPA configured for every deployment. Custom metrics autoscaling via KEDA for queue-depth, request-rate, or any external metric.

HPAKEDACluster Autoscaler

🌐

Ingress & TLS

NGINX Ingress Controller with cert-manager for automatic Let's Encrypt TLS. Rate limiting, path-based routing, and canary annotations configured per service.

NGINX Ingresscert-managerLet's Encrypt

💾

Persistent Storage

EBS CSI driver for block storage, EFS CSI for shared file storage, and Storage Classes configured for dynamic provisioning. StatefulSet management for databases.

EBS CSIEFS CSIStorageClass

🔄

Rolling & Canary Deploys

Zero-downtime rolling updates via Deployment strategy tuning. Advanced canary releases with Argo Rollouts — traffic split with automatic metric-based promotion.

Argo RolloutsBlue/GreenCanary

Architecture

How We Structure
Your K8s Cluster

A battle-tested namespace and workload layout that keeps environments isolated and operations clean.

Cluster layout

namespace: production

api-deployment worker-deployment frontend-deployment HPA (3–20 replicas) PodDisruptionBudget

namespace: staging

api-deployment (1 replica) frontend-deployment

namespace: monitoring

prometheus-stack grafana loki alertmanager

namespace: ingress-nginx

nginx-ingress-controller cert-manager external-dns

FAQ

Kubernetes Questions

Do I need Kubernetes or is Docker Compose enough?

Docker Compose is great for local development and simple single-server deployments. Kubernetes is worth it when you need automatic horizontal scaling, self-healing restarts, zero-downtime rolling deploys, multi-node high availability, and fine-grained resource controls. We assess your traffic patterns and team size to recommend the right level — we never over-engineer.

Which managed Kubernetes should we use — EKS, GKE, or AKS?

Since we specialise exclusively in AWS, we recommend and build on EKS. It integrates natively with AWS services — IAM for pod-level permissions, ALB Ingress Controller, EBS CSI for storage, and CloudWatch for logging. If you're already all-in on AWS, EKS is the clear choice.

How long does a production K8s cluster setup take?

A production-ready EKS cluster with ingress, TLS, monitoring, autoscaling, and your application deployed typically takes 7–10 business days from kickoff. This includes Dockerising your app if not already done, writing Helm charts, and connecting your CI/CD pipeline for deployments.

Will our team be able to manage it after you set it up?

Yes — we document every decision, write runbooks for common operations (scale up, rollback, add a new service), and offer a knowledge transfer session at the end of every project. We also offer ongoing support retainers if you want us to stay on as the K8s team.

Containers ThatScale Themselves.Zero Babysitting.

Containerise Your Appthe Right Way

Production K8s ClustersThat Run Themselves