Build

Automated containerization for every application in the estate

Turn services, including the ones written long before anyone said "container", into hardened, consistent OCI images that meet one standard across the organisation.

Short answer

What is Containerization?

DevOpsArk containerization is the capability that converts applications into standardised, hardened OCI container images automatically, applying one organisation-wide base image, user and hardening policy.

Why it matters

What Containerization is for

The conditions this module removes. If none of these are familiar, you probably do not need it yet.

  • Half the estate is containerised to a modern standard and half is not, so every platform change has to be made twice.
  • Legacy applications run on virtual machines because nobody has time to work out their runtime dependencies.
  • Container standards exist in a wiki page rather than in anything that enforces them.
  • Images run as root because that was the fastest way to make them start, and nobody went back.
  • There is no single answer to "which base images are we running in production right now".
How it works

Containerization inspects an application (its manifests, its runtime, and where available its running process on an existing server), and produces an image definition that satisfies the organisation-wide container policy: an approved base image, a non-root user, a read-only root filesystem where the application allows it, explicit ports and health endpoints, and no build tooling in the final layer. For services already running on virtual machines, DevOpsArk can profile the process to capture the libraries, environment and file paths it actually depends on, which is usually the part that stalls a migration. The output is an image plus the definition that produced it, both of which are versioned and comparable across every service you run.

Capabilities

What Containerization does

The 6 capabilities that make up Containerization.

Runtime dependency profiling

Observes a running process on an existing server to capture the libraries, paths and environment it genuinely needs, rather than guessing from documentation.

Policy-enforced hardening

Non-root user, dropped capabilities, read-only root filesystem and no shell in the final layer, applied as organisation policy rather than per-team convention.

Approved base image catalogue

One curated set of base images per language, patched centrally, with an inventory of which service uses which.

Image size budgets

Set a size budget per service class and get a warning when an image crosses it, before slow pulls start affecting rollouts.

Health and readiness wiring

Liveness, readiness and startup probes are derived from the application and written into the deployment manifest, not left blank.

SBOM per image

A software bill of materials is produced for every image so dependency questions are answered from an index instead of a rescan.

Architecture

How Containerization fits together

Input
Source repositoryRunning VM processExisting Dockerfile
Containerization
Dependency profilerPolicy engineBase image catalogueImage builder
Verification
Hardening checksSize budgetSBOMVulnerability scan
Output
OCI imageDeployment manifestRegistry
Containerization architecture within the DevOpsArk control plane.

Outcomes

  • One container standard applies to the whole estate, including services that predate it.
  • Legacy migrations stop stalling on unknown runtime dependencies.
  • Root containers disappear from production because the platform will not produce one.
  • Base image patching becomes a single central operation with a known blast radius.
  • Image inventory questions are answered from data rather than from a spreadsheet.
How to use it

Using Containerization, step by step

The path from connecting a source to getting value, in the order it happens.

  1. 1
    Select the application

    Choose a repository, or point DevOpsArk at a service already running on a managed server.

  2. 2
    Profile dependencies

    Capture the runtime, libraries, paths and environment the application actually uses.

  3. 3
    Apply container policy

    Base image, user, capabilities and filesystem mode are set from organisation policy.

  4. 4
    Build and verify

    The image is built, hardening is checked, size is measured against budget and an SBOM is produced.

  5. 5
    Publish

    The image is pushed by digest and registered in the image inventory.

Use cases

Where teams apply Containerization

Platform engineering

Migrate virtual machines to containers

Profile what a legacy service actually depends on, generate the image, and move it onto Kubernetes without a rewrite.

Security

Eliminate root containers

Enforce non-root and dropped capabilities at image build so the policy cannot be bypassed by a team in a hurry.

SRE

Shrink pull times

Set size budgets per service class and cut the cold-start penalty on every autoscaling event.

Compliance

Answer base image questions on demand

Produce the list of services running an affected base image within minutes of an advisory being published.

Supported technologies

What Containerization works with

Named integrations link to their own page. The rest are supported runtimes and formats.

dockerkubernetesawsazuregcpPodmancontainerdHarborOCIBuildkit
Do not see your stack? DevOpsArk works over standard interfaces: the Kubernetes API, OCI images, OpenTelemetry and cloud provider APIs, so most environments are supported without a bespoke connector. Ask us about yours.
FAQ

Containerization: frequently asked questions

The 8 questions teams ask most often before adopting Containerization.

See Containerization against your own environment

A 30-minute walkthrough with a platform engineer, not a sales deck. Bring a cluster and a problem.