Since 2010
15+ Years Building
Docker & Kubernetes Done Production-Grade, Not Demo-Grade
We containerize services properly and run Kubernetes only where it earns its complexity: hardened images, resource limits that mean something, and rollbacks rehearsed before you need them. Fixed written quotes, senior platform engineers.
- 15+ years
- Building Software
- 500+
- Engineers
- 25+
- Countries Served
- 100%
- Source-Code Ownership
Trusted by the brands we build for
A track record you can verify
9,000+
Projects Delivered
3,900+
Apps Shipped
500+
Engineers
insight
What Docker & Kubernetes Development Means at Moxace
Docker and Kubernetes development at Moxace means containers treated as the deployment unit they are: multi-stage builds producing small, hardened images, and Kubernetes manifests or Helm charts that encode resource limits, probes, and rollback strategy rather than hope.
Bring us in when containerization is the path to reliable deployments, when a cluster has become a source of anxiety, or when your team needs Kubernetes without the operating-manual-by-tribal-knowledge problem. We will also say honestly when a single VM and Docker Compose would serve you better.
What Every Docker & Kubernetes Development Engagement Includes
Scoped in writing before the first sprint. If it is not on this list, we will tell you exactly what it costs to add it.
Proper containerization
Multi-stage builds, non-root users, and minimal base images, with image scanning wired into CI.
Manifests that mean it
Resource requests and limits, liveness and readiness probes, and PodDisruptionBudgets configured from real load profiles.
Helm and kustomize releases
Versioned, reviewable deployments with environment overlays, so every cluster change is traceable.
Autoscaling and resilience
HPA and cluster autoscaling tuned against measured load, with chaos drills before traffic demands them.
Secrets and config discipline
External secret managers and sealed configs, because YAML secrets in git are an incident report waiting to be filed.
Rehearsed rollbacks
Deployment strategies with tested rollback paths, so a bad release is a non-event.
What You Can Build With Docker & Kubernetes Development
Representative outcomes our Docker & Kubernetes Development teams deliver.
Containerization programs
Existing applications containerized with hardened images and CI pipelines.
Production clusters
Kubernetes environments built as code with monitoring, policies, and runbooks.
Cluster stabilization
Chaotic clusters brought under GitOps discipline and resource governance.
Migration off kubernetes
Honest downsizing to simpler platforms when the operational math stops working.
How the engagement runs
From first call to handover, with a working build to see every two weeks.
- 01
Scoping call
One hour on workloads, team maturity, and current pain, ending with a fixed written quote.
✓ step 01 complete - 02
Platform blueprint
Cluster topology, image standards, and release strategy documented before changes.
✓ step 02 complete - 03
Two-week build sprints
Working deployments every two weeks, with load and failure drills on staging.
✓ step 03 complete - 04
Verification
Scaling tests, failure drills, and security scans gating every release.
✓ step 04 complete - 05
Handover
Documented manifests, runbooks, and full ownership of code and configuration transferred.
✓ step 05 complete
The adjacent stack we bring
Docker & Kubernetes Development never ships alone. These are the pieces we routinely wire around it.
Docker and buildKit
Modern image builds with caching and security scanning.
Kubernetes
Managed clusters where operations are someone's job done well.
Helm and kustomize
Versioned, reviewable release management.
Argo CD
GitOps deployments where the repository is the source of truth.
Prometheus and grafana
Metrics and dashboards wired from the first deployment.
AI inside the build
Where models genuinely earn their place in Docker & Kubernetes Development work. Each ships wired to your data and sharpens as usage compounds.
GPU workload scheduling
AI training and inference workloads scheduled on cluster GPUs efficiently.
Reads
Historic docker & kubernetes development usage data and product telemetry
Changes
Recommendations retrain as new data arrives, without a rebuild
Model serving on K8s
Scaled, monitored inference deployments with autoscaling.
Reads
Historic docker & kubernetes development usage data and product telemetry
Changes
Recommendations retrain as new data arrives, without a rebuild
Cost governance for AI
GPU utilization tracked and rightsized like any other resource.
Reads
Historic docker & kubernetes development usage data and product telemetry
Changes
Recommendations retrain as new data arrives, without a rebuild
Intelligent ops
Anomaly detection on cluster metrics feeding automated response.
Reads
Historic docker & kubernetes development usage data and product telemetry
Changes
Recommendations retrain as new data arrives, without a rebuild
Every build ships with
Standard inclusions on every engagement. Nine things you never have to ask for.
100% source code, full IP
The complete unencrypted codebase transfers to you, with documentation and deployment scripts.
Named senior team
The engineers who scope your build are the ones who write it. No bait-and-switch staffing.
Architecture blueprint
A documented system design covering data model, integrations, and scaling path, written before the first sprint.
Sprint demos every 2 weeks
A working build demonstrated every two weeks, so you steer continuously instead of waiting for a reveal.
QA and security testing
Automated and manual QA on every build, plus a security checklist on each release candidate.
CI/CD and monitoring
Pipelines, cloud deployment, alerting, and observability configured from day one, so launch is a rehearsed event.
Fixed written pricing
A scoped quote in writing before work starts. No hourly meter, no surprise invoices mid-build.
60 days support
A post-launch support window covering bug fixes and environment issues, standard on every engagement.
Handover documentation
Code, infrastructure, and runbooks documented so any team, ours or yours, can pick the product up cleanly.
Hire a dedicated team or run a Fixed-scope project
Both tracks deliver the same Docker & Kubernetes Development quality bar. The difference is control, timeline, and how the work is priced.
| Criteria | Dedicated Team (Hire) | Fixed-Scope Project |
|---|---|---|
| Best for | Ongoing Docker & Kubernetes Development work with evolving priorities | A defined outcome with a clear finish line |
| Pricing | Predictable monthly team rate | Fixed written quote after scoping |
| Team | Engineers embedded in your rituals and tooling | Our PM, our process, demos every two weeks |
| Flexibility | Reprioritize the backlog any week | Change requests estimated and scheduled |
| Source code and IP | 100% ownership on delivery | 100% ownership on delivery |
| Start time | Team in place within 1-2 weeks | Kickoff within days of the signed scope |
/10
Why Teams Choose Moxace for Docker & Kubernetes Development
Built by engineers who have shipped production software since 2010.
AI-first engineering
Where it genuinely helps, we fold AI into Docker & Kubernetes Development work, from assistants to automation, drawing on 120+ AI products already in production.
Senior-only staffing
You get engineers who have done this before, not a junior bench learning on your budget.
Ownership and cost
A fixed written quote, 100% source-code ownership, and no licensing strings on your own product.
Global delivery, local accountability
500+ engineers serving clients in 25+ countries, with Docker & Kubernetes Development work demoed live every two weeks.
Docker & Kubernetes Development FAQs
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