Dagu is a self-contained workflow engine with a Web UI for scheduling and
orchestrating jobs as DAGs defined in declarative YAML.
- Pin ghcr.io/dagucloud/dagu:2.10.7 and expose the Web UI on port 8080
- Set DAGU_HOST=0.0.0.0 so the service is reachable through the proxy
- Enable basic auth with a generated per-deploy admin password
- Persist /var/lib/dagu (DAGs, logs, run history) in a named volume
Claude-Session: https://claude.ai/code/session_01CRNT6sa2q2P9rUTokeoGhQ
n8n running in queue mode (EXECUTIONS_MODE=queue): main instance for the
editor/webhooks, a scalable pool of workers (deploy.replicas driven by the
N8N_WORKER_REPLICAS env var), Redis (Bull) as the queue broker and
PostgreSQL as the database. Pinned to the current stable n8nio/n8n:2.30.4.
Closes#455
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
In production images LOGS_REDIS_TLS/TRACES_REDIS_TLS default to true, so
the logs-ingestion consumer (part of the plugin-server default mode) kept
attempting a TLS handshake against the plaintext Redis, timed out every
~11s and killed the process after 10 errors (restart loop every ~2.5 min).
Constrain the plugins service to the capability groups this template
ships (cdp_workflows, realtime_cohorts, feature_flags) and pin the redis
TLS flags to false as belt-and-braces.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Adds a Frappe LMS (Frappe Learning) template based on the erpnext-v16
blueprint pattern (configurator + create-site + workers + scheduler +
websocket + mariadb + 3x redis).
Pins ghcr.io/frappe/lms:v2.52.0, the latest upstream image that ships
the lms app (v2.52.1+ images are currently published without any apps
baked in). The image does not bundle the payments app, so create-site
clears lms's required_apps before install; paid-course checkout is
unavailable, everything else works. The backend is gated on a
create-site completion marker so gunicorn workers never serve (and
cache) a half-installed site during the 3-6 minute first boot.
Closes#517
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Based on the official hobby deployment, trimmed to run on a single
server: Django web + Celery worker, Node plugin-server (CDP, ingestion,
session replay, recording API), Rust capture/replay-capture/
feature-flags/hypercache, livestream, Caddy path router, Postgres,
Redis, Redpanda (Kafka), ZooKeeper, ClickHouse and MinIO.
Images are pinned to a tested master commit (PostHog no longer
publishes tagged releases); an init container fetches the matching
ClickHouse configuration, Kafka table schemas, funnel UDF binaries and
the GeoIP database at the same pinned ref.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Dify 1.15.0 (open-source LLM app development platform): api + worker +
worker_beat + web + pgvector PostgreSQL (also used as the vector store) +
redis + sandbox + ssrf_proxy (squid) + plugin_daemon, fronted by an
internal nginx gateway that mirrors the upstream path routing.
Closes#88
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
