Appropriate use
It fits applications that benefit from a portable process filesystem and consistent runtime packaging.
Containers & Platform
Docker in Production Engineering
Reliable containers require reproducible builds, minimal runtime contents and clear configuration and security boundaries.
Docker provides image-building and container workflows for packaging application processes.
It sits between source code and the container runtime used in development, delivery and production platforms.
- Reproducible images
- Runtime boundaries
- Supply-chain controls
Useful context
What to know about Docker
Four practical boundaries help place Docker in a maintainable production system.
01What role does it play?
Docker provides image-building and container workflows for packaging application processes.
02Where does it sit?
It sits between source code and the container runtime used in development, delivery and production platforms.
03What remains outside it?
It does not orchestrate multi-service production systems or make an insecure application isolated by default.
04What trade-off comes with it?
Portable packaging improves consistency while image maintenance and supply-chain provenance become ongoing responsibilities.
Context
Where Docker fits
It sits between source code and the container runtime used in development, delivery and production platforms.
Responsibility boundary
It does not orchestrate multi-service production systems or make an insecure application isolated by default.
Tradeoff
Portable packaging improves consistency while image maintenance and supply-chain provenance become ongoing responsibilities.
Architecture
Docker engineering decisions
The useful implementation depends on explicit technical and ownership choices around Docker.
Build provenance
Pin base inputs, separate build stages and make produced artifacts traceable.
Runtime contract
Define process, user, filesystem, network, configuration and shutdown behavior.
XIVTech context
XIVTech's work around Docker
XIVTech places Docker inside the application, platform, data and operating boundaries it affects.
Container packaging
Create lean reproducible images around application runtime needs.
Delivery integration
Connect image tests, scanning and promotion to CI/CD and platform workflows.
Lifecycle
How Docker fits a workflow
A maintainable Docker workflow makes inputs, transformations, validation and operating ownership visible.
- 01
Select build inputs
Pin base images and dependency sources.
- 02
Build artifacts
Separate compilation from the final runtime image.
- 03
Verify the image
Test behavior, provenance and known security findings.
- 04
Run and observe
Operate the process with explicit resources, signals and shutdown.
Relationships
Docker and adjacent technologies
Docker is most useful when its boundaries with nearby tools and runtimes are deliberate.
Kubernetes
Kubernetes schedules containerized workloads built through image workflows.
GitHub ActionsGitHub Actions can build, verify and publish container images.
Argo CDArgo CD can deploy versioned image references through Git-managed configuration.
OCI images
OCI standards allow compatible image formats and registries beyond one build tool.
Pathways
Relevant XIVTech services
These service paths cover the engineering systems and delivery decisions surrounding Docker.
DevOps Consulting
Explore all technologiesCovers build, delivery and container operating practices.
Kubernetes ConsultingConnects image packaging to cluster workload behavior.
Questions
Questions teams ask
Technology-specific considerations for Docker in an engineering system.
Next conversation
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