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Multi-stage build optimization
Separating build tooling from runtime environments to produce small production images.
Technologies — Cloud, DevOps & AI
We optimize and harden Docker pipelines, cutting build times and shrinking images to what the runtime actually needs.
Core capabilities
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Separating build tooling from runtime environments to produce small production images.
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Enforcing non-root execution, minimal distroless base images and automated Trivy vulnerability scans.
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Remote and registry caching, so unchanged layers are reused instead of rebuilt on every CI run.
Use cases
Packaging legacy VM-based applications into portable, reproducible Docker containers.
Docker Compose and Dev Container setups that let a new engineer run the full stack locally with one command.
How we staff it
Seniority and experience are agreed in the proposal, and you interview every engineer before they start.
Working-hours overlap is agreed for each engagement and written into the statement of work — the shared window, who shifts hours, and how handoffs work outside it.
Technical FAQs
We use multi-stage builds, switch to distroless or alpine bases, avoid installing development dependencies, and clean package caches.
Running as non-root prevents container escape vulnerabilities from gaining root privileges on the underlying host operating system.
Ecosystem
Tell us about your architecture, backlog and team. We'll reply within one business day with an honest read on whether we can help.