Application Containerisation
Packaged once, running identically everywhere.
Docker · Kubernetes · GitOps
Docker & Kubernetes
"Works on my machine" stops being a problem when every machine is running the same container.
Identical envsDev, staging and production run the same image
Self-healingFailed workloads restarted automatically
Honest fitWe say when Kubernetes is overkill
Our approach
How we think about Docker & Kubernetes
We containerise applications and run them on Kubernetes, so deployments become predictable and scaling happens automatically instead of at 2am by hand.
Whether it's one application or a fleet of microservices, the cluster stays healthy and heals itself — and we will tell you honestly if Kubernetes is more machinery than your workload needs.
What's included
What Containerisation Includes
From first Dockerfile to a production cluster.
Cluster Setup & Management
Kubernetes configured to run quietly, without 3am surprises.
Helm Charts & GitOps
Deployments defined as code and reviewed like code.
Service Mesh & Networking
Traffic between services made visible, secure and controllable.
Auto-Scaling & Self-Healing
Workloads that recover and scale without human intervention.
Migration to Containers
Legacy applications moved onto a modern runtime in stages.
Why ElayneTech
Why Containers Are Worth the Move
When they are. Which is not always.
Talk to an engineer- 01
One Image, Every Environment
The class of bug caused by environment drift simply disappears.
- 02
Scaling Without Drama
Add capacity by changing a number, not by building a server.
- 03
Faster Onboarding
A new developer runs the whole stack locally on day one.
- 04
Better Resource Use
More workloads on fewer machines, which shows up on the bill.
- 05
Not Always the Answer
For a single small app, we'll suggest something simpler.
- 06
Your Team Trained
Kubernetes is only an asset if your people can operate it.
Process
How We Containerise
One service at a time, never all at once.
- 01
Assess Suitability
Which services benefit, and whether a cluster is justified at all.
- 02
Containerise & Test
Dockerfiles, images and local parity with production.
- 03
Cluster & Deploy
Kubernetes set up with Helm, GitOps and autoscaling configured.
- 04
Operate & Train
Monitoring, runbooks and handover to your engineers.
Proof, not promises
View all projectsRecent work from our team
FAQ
Common questions about Docker & Kubernetes
Have a different question? We reply within one business day.
Ask us anythingHow much does Docker & Kubernetes cost?
It depends on scope, integrations and design complexity. After a free discovery call you get a written estimate with a price range, a timeline and the assumptions behind it.
How long does a typical Docker & Kubernetes project take?
A focused first release usually takes 8 to 14 weeks. Larger builds are delivered in phases, with something usable at the end of each phase.
Will we own the code and accounts?
Yes. Source code, repositories, store listings and credentials are handed over to you, and we sign an NDA before any details are shared.
Do you support the product after launch?
Yes. Every project includes a warranty period, and monthly support plans cover monitoring, updates, fixes and new features.
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Learn moreThinking about Docker or Kubernetes?
We will give you a straight answer on whether it fits your workload — including when it does not.