Blog

  • Public Beta Is Here — Deploy Anything by Describing It

    Dockyard is now in public beta. You can launch containers, serverless functions, and static sites — all through natural language. No YAML, no CLI, no friction.

    Here is what is available on day one: Docker container presets, Lambda functions in Node.js/Python/shell, automatic gateway routing with custom domains and TLS, S3-compatible storage buckets, and an AI assistant that provisions everything for you.

    What is coming next: managed cron jobs, expanded runtime support, a public API, and team collaboration features.

  • From Zero to Live: Deploying a Full-Stack App on Dockyard

    A step-by-step walkthrough of deploying a Node.js API with a Redis cache, a React frontend, and a custom domain — all with natural-language commands. No Dockerfiles, no Terraform, no AWS console.

    Step 1: Describe your stack. Step 2: Deploy your code via GitHub pull or direct file writes. Step 3: Expose it with a custom domain and automatic TLS.

  • How the Dockyard Gateway Routes Traffic — TLS, DNS, and the Proxy Mesh

    A deep dive into the gateway architecture that powers the Dockyard routing layer. The gateway terminates TLS, manages custom domains, and proxies requests to containers, buckets, and Lambda functions — all without manual configuration.

    When you create a route, the gateway provisions a TLS certificate via ACME, creates DNS records in Route 53, and configures the proxy mesh. Method and path filters let you build multi-endpoint routes under a single name.

  • CI/CD Without the Pipeline Headaches — GitHub Integration on Dockyard

    Pull an entire repo directly into a container or bucket, make changes, and push commits back — all through the Dockyard assistant. Use the atomic strategy for zero-downtime deployments, or the clean flag for a fresh start on every pull. Combined, you get a true continuous deployment workflow that fits in a sentence.

  • Database Connections Are Here — MySQL and MongoDB, Managed

    Connect saved MySQL and MongoDB instances to your Dockyard projects. Run read queries, execute migrations, create backups, and grant access — through the same natural-language interface. No connection strings in your code, no CLI flags to remember.

  • Building an AI-Native Cloud Platform — Design Decisions Behind Dockyard

    Why we built Dockyard around an assistant-first model instead of a traditional dashboard. Every capability — launching containers, creating functions, routing traffic, managing databases — is available through natural language from day one. No feature lag between the UI and the assistant because there is no separate UI path.