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    DevOpsAll applications, containerized deployments

    Technology

    Docker

    Containerize applications with Docker for consistent deployments across environments. We use Docker for development, testing, and production deployments.

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    5.0Google (104)    Top Rated PlusFiverrTop RatedUpworkISO 9001

    Best For

    Ideal use cases

    Applications requiring consistent environments

    Projects needing easy local development setup

    Microservices architectures

    Applications deploying to cloud

    Teams wanting reproducible builds

    What We Build

    Projects we deliver

    Docker container images

    Multi-stage Docker builds

    Docker Compose setups

    Containerized microservices

    Development environments

    Production deployments

    CI/CD integration

    Container orchestration

    Ecosystem

    Compatible tools & integrations

    Seamless Integrations

    Works with your existing stack

    8+ supported
    Docker CLI and Dockerfile
    Docker Compose for multi-container apps
    Docker Hub or container registries
    Kubernetes for orchestration
    Docker Swarm
    AWS ECS or EKS
    Google Cloud Run
    CI/CD platforms

    Use Cases

    Recommended use cases

    All production applications

    Microservices architectures

    Applications needing consistent environments

    Development teams requiring easy setup

    Applications deploying to cloud

    Delivery

    How we deliver

    We create optimized Dockerfiles with multi-stage builds

    Set up Docker Compose for local development

    Implement proper image tagging and versioning

    Optimize image sizes and build times

    Set up container registries and deployment workflows

    FAQ

    Frequently asked questions

    Docker containers are lighter, start faster, and use fewer resources than VMs. They provide consistent environments across development and production. VMs are better for full OS isolation.

    We optimize Docker images by using multi-stage builds, minimal base images (Alpine), caching layers properly, and removing unnecessary dependencies. We can reduce image sizes by 50-70%.

    Docker Compose is ideal for local development. For production, we use container orchestration platforms like Kubernetes, AWS ECS, or Google Cloud Run for better scalability and management.

    AI

    Add AI on top of this stack

    Two common AI services that pair well with this technology, plus a fixed-scope gig to start quickly.

    LLMOps & Observability

    Tracing, evals, prompt/versioning, and cost/latency dashboards.

    AI Evaluation & Testing

    Regression gates with golden datasets and automated scoring.

    AI Monitoring + LLM Observability (Gig)

    Set up tracing, dashboards, and alerting for LLM apps.

    Related

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    CI/CD

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    Cloud

    AWS

    Amazon Web Services cloud platform

    Enterprise apps, scalable platforms, APIs
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    DevOps

    GitHub Actions

    GitHub workflow automation

    GitHub projects, CI/CD, automation
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