page:recipes:knowledge base:laravel:relational content

Host knowledge base with Laravel: Postgres-backed content

Deploy a knowledge base built with Laravel 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. Verified on Laravel: 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 knowledge base-specific behavior as your application code.

Representative Queries

Resource Requirements

Infrastructure Requirements

Framework

Laravel

Workload

Knowledge base

Release Status

Published

Support Status

Verified

Execution Status

Ready

Prerequisites

  1. A Laravel project that builds and starts with the documented commands (composer install --no-dev from composer.lock, then FrankenPHP serving public/ (php-server with the index.php fallback) reading PORT on the php-8.5 template)
  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

Workflow Steps

  1. Build and start: composer install --no-dev from composer.lock, then FrankenPHP serving public/ (php-server with the index.php fallback) reading PORT on the php-8.5 template. The server must bind 0.0.0.0 on PORT.
  2. Implement the pattern on PostgreSQL: The fixture's module implements relational records: 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). 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. Use path-style addressing. Keep private data in an unpublished bucket. Publish only the bucket that serves public assets and reference its CDN URL.
  4. Deploy: Run the synchronous deploy once and read the result (exit 0 live, 1 failed, 2 blocked). Re-running with no change is a no-op. Command: ample deploy . --name --public --env S3_ENDPOINT=... --env S3_REGION=... --env S3_BUCKET=... --env S3_ACCESS_KEY_ID=... --env S3_SECRET_ACCESS_KEY=... --env CDN_PUBLIC_URL=...
  5. Verify: Fetch the live URL and the pattern self-test route(s) (/p/relational-records) from the example; then run your own checks. On failure read ample logs --kind build then --kind runtime. Command: ample logs --kind build

Cost Estimate

Success Checks

  1. App responds on its public URL: Path: /; Expect: ample canary laravel patterns
  2. Relational-records self-test: Path: /p/relational-records; Expect: records=ok transitions=true isolation=true

Limitations

Next Actions

  1. Browse the catalog index: Method: GET; Relative Path: /v1/catalog
  2. Search published recipes by intent, stack and constraints: Method: POST; Relative Path: /v1/catalog/search
  3. Prepare a side-effect-free deployment plan for an authorized project: Method: POST; Relative Path: /v1/catalog/plan
  4. Read the existing agent authentication setup: Method: GET; Relative Path: /mcp/setup
  5. Browse Knowledge base: Method: GET; Relative Path: /v1/catalog/nodes/workload%3Aknowledge-base