Technology
Docker Development Services — Containerized Apps Built Right
Production Docker engineering — small images, multi-stage builds, BuildKit caching, security scanning, and the operational discipline containers deserve.
What we build with Docker
- Multi-stage Dockerfiles producing small, secure runtime images (often under 50MB)
- BuildKit caching with mounts, secrets, and SSH for fast CI builds across architectures
- Multi-arch builds for amd64 + arm64 in a single CI run (Graviton / Ampere ready)
- Image signing with Cosign and Sigstore, with policy enforcement at deploy time
- Vulnerability scanning with Trivy, Grype, Snyk, or registry-native scanners
- Distroless and Chainguard base images for minimal attack surface
- Non-root containers with proper user, capability dropping, and read-only filesystems
- Docker Compose for local development environments that match production contracts
- Devcontainers for reproducible developer setups (IDE-in-container)
- ECR, GHCR, GAR, ACR, and Harbor registry strategies with lifecycle policies
- SBOM generation (Syft) and supply-chain attestations (in-toto)
- Container runtime selection: containerd, CRI-O, gVisor, or Kata for sensitive workloads
- Migration from monolithic VMs to containerized deployments
- Optimized base-image refresh cadence and CVE response runbooks
Why DiveScale
Built by engineers who ship Docker in production
Docker is the universal runtime contract. DiveScale ships Dockerfiles that are small, layer-cached, scanned, and signed — the foundation that makes Kubernetes, ECS, or Cloud Run work reliably.
Most production Docker problems are upstream: huge images, leaky caches, untrusted base layers, and root processes. We fix them at the source so the rest of the platform inherits the discipline.
We default every container to a non-root user, drop unneeded capabilities, and use read-only filesystems where the app allows. Distroless and Chainguard bases make these defaults free; PNG-sized Node and Go images are routine.
Multi-architecture builds (amd64 + arm64) are non-negotiable for any image that might land on Graviton, Ampere, or Apple Silicon dev machines. BuildKit makes multi-arch single-CI; the marginal cost is small and the option value is real.
Supply-chain security is now table stakes. Signed images via Cosign, SBOMs generated via Syft, vulnerability scan gates in CI, and policy enforcement at deploy time — these are not optional for production workloads.
And we keep developer experience tight: Docker Compose for local dev that matches production, devcontainers when teams want the IDE in the container, and BuildKit caching that makes CI builds finish in single-digit minutes.
Docker use cases we deliver
How we deliver
Our Docker delivery process
- 01
Image baseline
We measure image size, layer count, scan posture, and build time on existing Dockerfiles before changing anything.
- 02
Multi-stage + cache
Rewrite Dockerfiles with multi-stage builds, ordered layers, and BuildKit cache mounts where useful.
- 03
Sign + scan in CI
Trivy or Grype scan gates, Cosign image signing, and registry policies enforcing both.
- 04
Operate & evolve
Base-image refresh on schedule, CVE response runbook, and ongoing image diet.
Related technologies
Kubernetes
Production Kubernetes engineering — cluster design, GitOps, observability, CIS hardening, multi-tenancy, internal developer platforms, and the day-2 operations the demos skip.
Learn moreGitHub Actions
GitHub Actions engineering — reusable workflows, OIDC-to-cloud, runner strategy, and the discipline that turns pipelines into a platform.
Learn moreAWS
AWS architecture, migration, and platform engineering — multi-account governance, well-architected workloads, Terraform IaC, and the operational discipline production demands.
Learn moreTerraform
Terraform engineering — module design, state strategy, multi-account governance, policy-as-code, drift detection, and CI-driven plan / apply for multi-cloud estates.
Learn moreDocker — Frequently Asked Questions
As small as the runtime needs. Most Node services land under 200MB; Python services 250–400MB; Go services often under 30MB with distroless. Smaller images mean faster pulls, faster cold starts, and smaller attack surface.
