Containers package applications with their dependencies to support more consistent delivery. Docker provides tools for working with containers, while Kubernetes orchestrates containerised workloads. Together they can support deployment workflows when their operational complexity is justified.
A practical example
A team can package an API consistently in a container without immediately adopting a large orchestration platform. First establish reproducible builds, configuration, logs and recovery. Consider orchestration when the workload and operating needs justify it. Keep application concerns separate from the choice of platform, and include maintenance effort in the decision.
Container delivery responsibilities
| Focus | Practical approach | Check before proceeding |
|---|---|---|
| Image | Package the application and its dependencies consistently. | Pin and review dependencies; scan images. |
| Runtime | Configure resources, health checks and secret access. | A working local container is not a complete deployment. |
| Orchestration | Coordinate instances, networking and recovery. | Account for platform maintenance and operational skills. |
Do all containerised applications need Kubernetes?
No. A simpler container service or managed hosting option may suit a small application. Kubernetes is a platform choice that should follow operational requirements and team capability.
Useful next steps
For a related perspective, read MongoDB Features: Documents, Indexes and Replication, How Node.js Handles I/O and CPU-Heavy Work, Container Orchestration: Decide Whether the Complexity Is Worth It.
If you need help applying this to your business, explore our custom software development or discuss your project.
Sources and further reading
By Tech Me Today. Originally published December 27, 2023. Expanded on .
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