DevOps & Cloud
Docker
Containerization of services with lean images and repeatable local-to-prod parity.
Docker and container baseline work for applications that need portable, repeatable runtime packaging. We produce sensible Dockerfiles, compose setups for local development, and image build practices that keep layers lean and secrets out of the image.
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Who it’s for
- • Teams moving from host-installed runtimes to containers
- • Engineering orgs standardizing local developer environments
- • Groups preparing workloads for Kubernetes or container hosts
Problems we address
- • “Works on my machine” gaps between developers and servers
- • Bloated images with unclear build provenance
- • Secrets and config accidentally baked into images
Expected outcomes
- • Multi-stage Dockerfiles tuned to your runtime
- • Compose-based local stacks for dependent services
- • Build arguments and runtime config separated cleanly
Capabilities
Concrete engineering capabilities included in a typical engagement for this service.
Application containerization
Docker Compose for local and smoke environments
Image tagging and registry publish patterns
Base image and dependency update guidance
CI integration for image builds
Technology
Representative technologies used for this service. Final stack depends on your estate.
- Docker
- Docker Compose
- GitHub Actions
- Node.js
- Postgres
- Nginx
Architecture
Delivery pipeline
Source control through CI into containerized deploy and cloud runtime.
Deliverables
- • Dockerfiles and compose configurations
- • Image build and publish documentation
- • Local developer bring-up guide
- • Hardening notes for production image use
Out of scope
- • Docker Desktop licensing procurement for your org
Timeline
Typical timeline
1–4 weeks
Timeline depends on scope, access, and dependencies—not a delivery guarantee.
Process
A clear delivery path from discovery through handover and optional support.
01
Discovery
Goals, constraints, success criteria, and current-state review.
02
Architecture
Target design, interfaces, risks, and delivery sequence.
03
Implementation
Incremental build with visible progress and documented decisions.
04
Testing
Functional checks, failure paths, and acceptance criteria validation.
05
Deployment
Controlled release to staging and production with rollback paths.
06
Handover
Runbooks, access notes, and operator/admin walkthrough.
07
Support
Optional hypercare window or retainer continuity after go-live.
Custom engagement
Pricing depends on architecture, traffic profile, and integration depth. Share your requirements for a scoped quote.
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Container platforms on Kubernetes with delivery, scaling, and observability baselines.
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CI/CD Pipelines
Automated build, test, and deploy pipelines with promotion and rollback paths.
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Delivery and platform engineering that makes releases repeatable and operable.
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Hardened Linux hosts, patch cadence, and operational baselines for server fleets.
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Cloud Migration
Planned workload moves to cloud with cutover paths and risk controls.
Related work
Example / concept projects shown for illustration unless otherwise verified.
FAQ
No. Many teams run containers on a single host, ECS/Fargate, or similar without Kubernetes. We recommend orchestration only when the operational need is real.
Often yes, with constraints. Some legacy systems need staged extraction or sidecar patterns rather than a perfect first-pass image.
Ready to build?
Tell us about your environment, constraints, and target outcomes. We’ll recommend a package or a scoped quote.