Containerize Your App So It Runs the Same Everywhere
We write production-grade Dockerfiles and compose environments that eliminate "works on my machine" permanently — with images that are small, secure, and actually maintainable.
Docker Done Properly for Production
Containerization is not just wrapping your app in a Dockerfile. We cover the full scope — from image optimization to runtime security to registry management.
Dockerfile Optimization
Dockerfiles written for production — minimal base images (Alpine, distroless), layer caching optimised for fast rebuilds, no secrets baked in, and non-root user enforcement. Not the 1.5GB Node image that gets committed on day one.
Multi-Stage Build Pipelines
Multi-stage builds that separate compile-time dependencies from the runtime image. Typical result: 60–80% smaller images that have a smaller attack surface, lower registry storage cost, and faster pull times.
Docker Compose for Development
Compose files that spin up your full stack — app, database, cache, message broker — with one command. Your team stops saying "it worked on my machine" because everyone runs the same stack.
Private Registry Setup
Private registry on Amazon ECR, Docker Hub (private), GitHub Container Registry, or self-hosted Harbor. Image scanning on push, tag immutability for production images, and lifecycle policies to clean old tags.
Container Security Scanning
Trivy or Snyk integrated into CI to block images with critical CVEs. Base image update automation so you are not running containers with 18-month-old vulnerabilities in production.
Networking & Volume Management
Container networks scoped correctly so containers can only talk to what they need. Named volumes with proper mount paths, tmpfs for ephemeral data, and bind mounts only in development.
Production Container Hardening
Read-only root filesystems, dropped capabilities, no-new-privileges flags, seccomp profiles, and resource limits (CPU, memory) set on every container. Not optional in production.
Migration from Bare Metal to Docker
We containerise existing applications — Python, Node.js, Java, .NET, PHP — without breaking them. We document what changed and why, and make sure your team understands how to maintain it.
From Zero to Production-Ready
App Analysis & Container Strategy
We audit your application — language runtime, dependencies, external services, startup behaviour. We decide whether to containerise as-is or address any issues (hardcoded paths, no graceful shutdown) first.
Dockerfile Writing & Build Optimization
We write the Dockerfile, test the build, benchmark image size, and validate that the container behaves identically to your existing deployment. Multi-stage builds applied where they make sense.
Docker Compose Setup
Compose file for local development with correct service dependencies, health checks, and environment variable management. Separate overrides for testing vs development environments.
Registry & Deployment Pipeline
Private registry configured, image scanning enabled, and CI/CD pipeline updated to build, scan, push, and deploy the container image. Rollback via image tag pinning.
Why Businesses Trust Us with Their Containers
Images that are actually small
Multi-stage builds that cut image sizes by 60–80% compared to naive Dockerfiles. Smaller images mean faster CI builds, faster deployments, and fewer CVEs to deal with at 2am.
Security is not an afterthought
Non-root users, minimal base images (distroless where possible), no secrets in image layers, and no capabilities beyond what the process actually needs. We have seen what happens when this is skipped.
Health checks that mean something
HEALTHCHECK instructions that test actual application readiness — not just "is the port open." Your orchestrator needs to know if the app is actually ready to serve traffic, not just started.
Dev/prod parity that works
Your team runs the exact same stack locally with one command. No more "it works on my machine" bugs that only surface in production. Docker Compose environment matches production configuration.
Private registry, properly configured
We set up your private registry on ECR, Docker Hub, or self-hosted Harbor with image scanning, tag immutability for production, and lifecycle policies so your storage bill does not grow without bound.
Documentation your team can use
We document what each container does, how to build it, how to run it locally, and how to debug it. The team that comes after us can understand and maintain the setup without calling us every time.
Get Your Apps Running in Containers This Week
Send us your codebase and we will scope the containerization work, estimate the effort, and give you a fixed price — no hourly billing surprises.
Didn't Find What You Were Looking For?
We're here to help you get the answers you need, quickly and clearly.
Docker gives you environment consistency (same container runs in dev, CI, staging, and production), dependency isolation (two apps with conflicting Node versions coexist without issues), and faster deployments (a container image pull is faster than a Chef or Ansible run). The main trade-off is added complexity in local setup and a learning curve for your team. For most teams shipping to cloud infrastructure, that trade-off is worth it.
Docker is the de-facto standard for production deployments on managed container services (ECS, App Service containers, Cloud Run) and on Kubernetes. The concerns people have about Docker in production — image security, resource limits, log management — are all addressable and things we handle as part of the containerization work. We would not deliver containers that are only safe for development.
Containerising a single application (Dockerfile, Compose, registry, CI integration) typically runs ₹40,000–80,000 depending on complexity. A full microservices system with multiple services, compose environments, and security hardening is ₹1,50,000–3,00,000+. The investment pays back quickly in faster developer onboarding and more reliable deployments.
For most teams, no. Podman is daemonless (slightly more secure) and is the default on RHEL 8+, but it is Docker-compatible. If you are on a RHEL-based environment or have security requirements that preclude a Docker daemon running as root, Podman is a better choice. Otherwise, Docker is fine and has a larger ecosystem of tooling and tutorials.
A straightforward web app with one or two external dependencies: 3–5 days. An application with complex build requirements, lots of dependencies, or environment-specific configuration that needs untangling: 2–3 weeks. We do not quote until we have looked at the codebase — application-specific issues always affect the timeline.
The common ones we fix: running as root inside the container (means a container escape gives root on the host), secrets stored in environment variables or baked into images (use Docker secrets or a secrets manager), outdated base images with known CVEs (automate base image updates), and no resource limits (a misbehaving container can starve the host). We address all of these as part of our standard containerization work.
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Trusted by Teams Across the Globe
Real results from real clients — across AI, SaaS, e-commerce, and enterprise projects.
Before eLiquorWorks, our retail operations ran on spreadsheets and paper logs. Frequent Solutions built us a platform that brought real-time inventory, sales tracking, and purchase management all into one place. The accuracy and reliability have been outstanding from day one.
“Frequent Solutions delivered our AI voice calling agent on time and far exceeded expectations. The call quality is so natural our patients genuinely prefer it over speaking to staff. Their understanding of healthcare workflows was impressive — every detail was thought through.”
The AI WhatsApp lead agent they built transformed our sales pipeline overnight. We went from manually chasing cold leads every day to having an intelligent agent pre-qualify every enquiry automatically. The jump in quality leads within the first month was beyond what we imagined possible.