page:recipes:company website:phoenix:relational content

Host company website with Phoenix: Postgres-backed content

Deploy a company website built with Phoenix on Ample using the relational records pattern. Compute runs the app in an isolated microVM behind a public HTTPS URL, a managed PostgreSQL 16 database is auto-provisioned and injected as DATABASE_URL, and a published bucket serves public assets from the CDN host.

Summary

Verified on Phoenix: a workspace-scoped table, an explicit state machine (draft to review to published) that rejects invalid transitions, and a cross-workspace read that returns nothing (transitions=true isolation=true). Not separately tested: your record schema, states and access rules; treat the company website-specific behavior as your application code.

Representative Queries

Resource Requirements

Infrastructure Requirements

Framework

Phoenix

Workload

Company website

Release Status

published

Support Status

verified

Execution Status

ready

Prerequisites

  1. A Phoenix project that builds and starts with the documented commands (mix deps.get, MIX_ENV=prod mix compile and mix release in the builder, then the release bin script with PHX_SERVER=true on the elixir-1.18 template; PORT, DATABASE_URL and SECRET_KEY_BASE read in config/runtime.exs)
  2. A PostgreSQL driver reading DATABASE_URL at runtime (auto-provisioned when omitted, or supplied with --env)
  3. A bucket from ample bucket create with its credentials passed as encrypted S3_* environment variables
  4. An Ample account token with servers:write, databases:read, buckets:read.

Tested Configuration

Workflow Steps

  1. Build and start: mix deps.get, MIX_ENV=prod mix compile and mix release in the builder, then the release bin script with PHX_SERVER=true on the elixir-1.18 template; PORT, DATABASE_URL and SECRET_KEY_BASE read in config/runtime.exs.
  2. Implement the pattern on PostgreSQL: Copy the approach into your schema; keep migrations idempotent and run them with --release-command.
  3. Wire object storage: Create the bucket(s), then pass endpoint, region, bucket and keys as --env values.
  4. Deploy: Run the synchronous deploy once and read the result.
  5. Verify: Fetch the live URL and the pattern self-test route(s) from the example; then run your own checks.

Examples

Success Checks

Limitations

Cost Estimate

Evidence Summary

Unknowns

Formats