Technology. People. Progress.

Containers

Package your application for a consistent runtime.

Bring the application and its runtime requirements into a clear deployment definition. We help introduce or improve containers where they suit the workload and the team that will operate it.

Useful starting points

Package a service

Create a container image with an understood build process, runtime configuration and health checks.

Manage deployment

Define how the service starts, receives configuration and connects to the systems it needs.

Prepare operation

Agree how your team handles logs, updates, capacity and the recovery of application and data services.

See the work clearly

Package once. Understand how it runs.

A container is part of the operating model: the image, its configuration and the service around it all need an owner.

Application service / runtime planIllustrative workflow
  1. 01 / Build

    Versioned image

    Dependencies and base image

  2. 02 / Store

    Image registry

    Access and retention

  3. 03 / Run

    Chosen runtime

    Configuration and health checks

  4. 04 / Operate

    Service ownership

    Logs, updates and recovery

Choose the runtime before adding orchestration.

We compare managed application services and container platforms against the workload, persistent data and team skills. Kubernetes is an option when its capabilities justify the operating overhead.

The handover: You receive build and runtime definitions, scenario validation and guidance for the people operating the service.

Try the release example

Know what is in the plan

What we put in place

  • Container builds, image storage and runtime definitions.
  • Configuration, secrets references and health checks.
  • Deployment and orchestration rules where the workload requires them.

What you receive

  • Documented build and deployment definitions.
  • Validation of the agreed application scenarios.
  • Operating guidance and a walkthrough with the responsible team.

Before we start

Bring the application architecture, dependencies and deployment requirements. We review persistent storage, network access and support skills. Kubernetes is considered only when its capabilities and operating overhead fit the need. Application rollback, data compatibility and recovery are assessed together.

See the delivery handover

Which application is difficult to run consistently?

Bring one challenge. We’ll help define a practical next step.

Discuss containerisation

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