High-performance backends & real-time apps, built on Docker.
Docker is an open platform for developing, shipping, and running applications in lightweight, portable containers. It enables developers to package applications with all dependencies into standardized units for software development, ensuring consistency across development, testing, and production environments. Docker containers are isolated, secure, and can run anywhere - on laptops, data centers, or in the cloud - making it an essential tool for modern DevOps practices and microservices architectures.
import torch def train_step(batch): loss = model(batch) loss.backward() optimizer.step()25+
Docker engineers on staff
60+
Docker projects shipped
9 yrs
Docker experience
98%
Client satisfaction
Pick the right tool — including when it isn't us
Platform for developing, shipping, and running applications in containers. We'll tell you honestly when Docker is the right fit — and when another stack would serve you better.
Use Docker when
Best fit- You need containerization
- You need microservices
- Consistent environments across all stages
- Faster deployment with lightweight containers
Consider alternatives when
Not ideal- CPU-heavy numerical workloads need compiled performance
- You need strict functional safety guarantees at the language level
- Your org mandates a single enterprise JVM/.NET stack
- Batch analytics is the primary workload, not APIs or events
From APIs to real-time platforms
Lightweight Containerization
Package applications and dependencies into isolated containers that share the host OS kernel, providing consistency across environments with minimal overhead.
Reusable Docker Images
Build layered images from Dockerfiles that can be versioned, shared, and deployed consistently, with a vast library of pre-built images available on Docker Hub.
Docker Compose for Multi-Container Apps
Define and run multi-container applications with YAML configuration files, simplifying complex application setups with networking and volume management.
Container Registry Integration
Push and pull images from public or private registries like Docker Hub, enabling easy distribution and version control of containerized applications.
Containerization
Production-ready containerization with clear milestones and transparent delivery.
Microservices
Production-ready microservices with clear milestones and transparent delivery.
Frameworks, tooling & ecosystem
FRAMEWORKS
- Docker
- Kubernetes
- Docker Compose
REALTIME & QUEUES
- Docker Swarm
- containerd
- Podman
DATA & ORMS
- Containerization
- Docker Images
- Registry Support
TESTING & OPS
Docker vs. the alternatives
Practical, no-hype reads on when to choose each.
Comparison
Docker vs Node.js
Docker excels at containerization, while Node.js may be a better fit when restful apis are the primary goal.
Read the comparisonComparison
Docker vs Python
Docker excels at containerization, while Python may be a better fit when data processing are the primary goal.
Read the comparisonVetted Docker engineers, ready to join your team
Hand-picked Docker specialists with proven delivery experience. Flexible engagement — scale up or down monthly.
Request engineer profilesFrom kick-off to production — in four steps
Scope & profiles
We align on goals, stack and delivery model, then shortlist Docker engineers matched to your needs.
01Technical interview
You interview shortlisted candidates. We handle scheduling, feedback loops and backup profiles.
02Onboarding & sprint 0
Engineers join your tools, meet the team and ship a small first deliverable within the first sprint.
03Iterate & scale
Scale the team up or down monthly as scope evolves — same engineers, no re-onboarding tax.
04