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    DevOpsAll applications, automated workflows

    Technology

    CI/CD

    Automate testing and deployment with CI/CD pipelines. We set up continuous integration and deployment workflows for faster, more reliable releases.

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    5.0Google (104)
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    Best For

    Ideal use cases

    Projects requiring automated testing

    Teams wanting automated deployments

    Applications needing fast release cycles

    Projects with multiple environments

    Teams prioritizing code quality

    What We Build

    Projects we deliver

    Automated testing pipelines

    Deployment workflows

    Multi-environment deployments

    Code quality checks

    Automated security scanning

    Release management systems

    Rollback mechanisms

    Notification systems

    Ecosystem

    Compatible tools & integrations

    Seamless Integrations

    Works with your existing stack

    8+ supported
    GitHub Actions
    GitLab CI/CD
    Jenkins
    CircleCI
    Docker for containerization
    Kubernetes for orchestration
    Terraform for infrastructure
    Testing frameworks

    Use Cases

    Recommended use cases

    All production applications

    Teams with multiple developers

    Applications requiring frequent releases

    Projects needing automated testing

    Applications with multiple environments

    Delivery

    How we deliver

    We set up CI/CD pipelines with proper testing, building, and deployment stages

    Implement automated testing (unit, integration, e2e)

    Set up proper secrets management and environment variables

    Configure deployment to staging and production environments

    Implement rollback procedures and monitoring

    FAQ

    Frequently asked questions

    GitHub Actions works well for GitHub repositories with zero cost for public repos. GitLab CI/CD is integrated with GitLab. Jenkins offers more control. We recommend based on your setup and needs.

    We use platform-specific secret management (GitHub Secrets, GitLab CI/CD variables) and never commit secrets. We implement proper access controls and rotate secrets regularly.

    Yes. We set up deployments to development, staging, and production environments. We use feature branches for development, main branch for staging, and tags for production deployments.

    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.

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    Cloud

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    Amazon Web Services cloud platform

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