Application Containerisation
Containerising web, API, and worker applications with production-grade Dockerfiles — multi-stage builds, minimal base images, and security hardening.
We design and implement Docker containerisation strategies and Kubernetes orchestration platforms — enabling scalable, portable deployments with zero-downtime releases and automatic recovery.
50+ containerised deployments | Docker, Kubernetes, Helm, Terraform, all major clouds
Projects delivered
Clients worldwide
Client satisfaction
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WHY CODEFLAMME
RESPONSE TIME
< 24h
We reply to every inquiry within one business day with a structured plan.
What We Build
Production applications across product types — scoped to your users, stack, and growth stage.
6 product types — compare what we ship with Docker & Kubernetes in production.
Containerising web, API, and worker applications with production-grade Dockerfiles — multi-stage builds, minimal base images, and security hardening.
EKS, GKE, AKS, or self-managed Kubernetes cluster provisioning with proper networking, RBAC, and namespace isolation.
Writing and maintaining Helm charts for application deployment — values management, dependency handling, and rollback strategy.
GitHub Actions, GitLab CI, and Jenkins pipelines building, testing, scanning, and deploying Docker containers to Kubernetes.
HPA, VPA, Cluster Autoscaler, PodDisruptionBudgets, and multi-AZ node groups for highly available, auto-scaling Kubernetes deployments.
Istio or Linkerd implementation for mTLS, traffic management, observability, and fine-grained service-to-service communication control.
WHY CODEFLAMME
We know the hesitation. Here's exactly how we're different.
No account managers relaying messages. You're in direct contact with the founder and senior engineers on your project — every sprint, every decision.
The team that scopes your project is the team that ships it. We don't swap engineers mid-project to free them up for someone else.
Your idea and IP are protected from the first real conversation — not after contracts are signed.
Every line of code, every design file, transfers to you on delivery. No licensing, no retained rights, no surprises.
Our Capabilities
Core delivery areas for Docker & Kubernetes — architecture, implementation, and production hardening.
Multi-stage builds, layer caching, non-root users, and minimal base images for fast builds and minimal attack surface.
Deployment, Service, Ingress, ConfigMap, Secret, and HPA manifests — or Helm chart equivalents — for all application components.
CPU and memory requests/limits, quality-of-service classes, and LimitRange/ResourceQuota for predictable cluster behaviour.
PersistentVolumeClaims, StorageClasses, and StatefulSet design for stateful workloads in Kubernetes.
Prometheus Operator, Grafana, Loki, and Jaeger/Tempo deployment in Kubernetes for full-stack cluster and application observability.
ArgoCD or Flux CD GitOps deployment for declarative, version-controlled Kubernetes state management.
When to Choose
Decision scenarios where Docker & Kubernetes is the strongest fit — and why it earns the recommendation.
Primary use case
Docker and Kubernetes abstract away cloud vendor differences — applications deployed on EKS can be moved to GKE or AKS with minimal changes.
Scenario
Kubernetes rolling updates, readiness probes, and PodDisruptionBudgets enable zero-downtime deployments by default.
Scenario
Kubernetes HPA scales your application pods automatically based on CPU, memory, or custom metrics without manual intervention.
Scenario
Kubernetes is the de facto standard for orchestrating multiple services — service discovery, load balancing, and scaling are built in.
In Practice
Container and cluster work we ship — when K8s is the right fit vs simpler options, and how it ties into cloud and application stacks.
Most Docker and Kubernetes work we take on is production packaging for APIs, workers, and web frontends that already run on a single host or Compose stack. Typical deliveries include multi-stage Dockerfiles with non-root users, Helm charts for staging and production values, and managed clusters (EKS, GKE, or AKS) with namespaces, RBAC, and ingress wired to the team's existing CI. We also migrate Compose-based staging environments into Kubernetes when release cadence or multi-service coupling outgrows a single VM.
We choose Kubernetes when you need rolling deploys, horizontal scaling, or portable orchestration across clouds. For a single long-running service with modest traffic, a container on ECS, Cloud Run, or a hardened VM is often enough — we say so. Docker alone remains the packaging layer either way. Integration points are usually Terraform for cluster and network primitives, GitHub Actions or GitLab CI for build-scan-push, and Prometheus/Grafana for cluster and app metrics. Node.js and other runtimes ship as the same image shape; cloud choice (often AWS) drives managed control-plane and storage classes rather than rewrite of the app.
GitOps with Argo CD or Flux shows up once the team is deploying several services frequently and wants cluster state reviewed in Git. Until then, Helm from CI with clear rollback procedures is the common path.
EKS, ECR, IAM for service accounts, and ALB ingress are the usual AWS landing zone when we containerise and orchestrate on Amazon.
API and worker services written in Node.js are a frequent Docker/K8s workload — same image pipeline, probes, and resource limits as other runtimes.
Container platforms sit inside our broader DevOps practice — CI/CD, IaC, observability, and runbooks, not just cluster YAML.
Complementary Stack
The tools we pair with Docker & Kubernetes in production — organised by layer, not hype.
LAYERS
06
TOOLS
29
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FAQ
Can't find what you need? Talk directly with our team.
Book a Discovery CallDocker for containerising applications. Kubernetes for orchestrating multiple containers at scale. Most production applications need both.
Tell us what you are building. We will respond within 24 hours with a clear, honest assessment — no pressure, no sales pitch.
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