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Deploying a Parseable App

Introduction

Parseable is an open-source log aggregation server with real-time search and dashboards. Deploying Parseable with a Dockerfile on Klutch.sh provides reproducible builds, managed secrets, and persistent storage for logs—all configured from klutch.sh/app. This guide covers installation, repository prep, a production-ready Dockerfile, deployment steps, Nixpacks overrides, sample ingestion calls, and production tips.


Prerequisites

  • A Klutch.sh account (sign up)
  • A GitHub repository containing your Parseable Dockerfile (GitHub is the only supported git source)
  • Storage sizing for log data and retention
  • Optional object storage credentials if you offload logs

For onboarding, see the Quick Start.


Architecture and ports

  • Parseable serves HTTP on internal port 8000; choose HTTP traffic.
  • Persistent storage is required for log data and configs.

Repository layout

parseable/
├── Dockerfile # Must be at repo root for auto-detection
└── README.md

Keep secrets out of Git; store them in Klutch.sh environment variables.


Installation (local) and starter commands

Validate locally before pushing to GitHub:

Terminal window
docker build -t parseable-local .
docker run -p 8000:8000 parseable-local

Dockerfile for Parseable (production-ready)

Place this Dockerfile at the repo root; Klutch.sh auto-detects it (no Docker selection in the UI):

FROM parseable/parseable:latest
ENV PORT=8000
EXPOSE 8000
CMD ["parseable", "server", "--http-port", "8000"]

Notes:

  • Pin the image tag (e.g., parseable/parseable:v1.x) for stability; update intentionally.
  • Configure TLS/ingestion keys via environment variables (see below).

Environment variables (Klutch.sh)

Set these in Klutch.sh before deploying:

  • PORT=8000
  • P_ADMIN_USER=<admin-user>
  • P_ADMIN_PASSWORD=<strong-password>
  • Optional storage: P_STORAGE_TYPE=local (default) or S3 settings (P_STORAGE_TYPE=s3, P_S3_ENDPOINT, P_S3_REGION, P_S3_BUCKET, P_S3_ACCESS_KEY, P_S3_SECRET_KEY)
  • Optional TLS: P_ENABLE_TLS=true, P_TLS_CERT_FILE, P_TLS_KEY_FILE (ensure certs are mounted)

If you deploy without the Dockerfile and need Nixpacks overrides:

  • NIXPACKS_START_CMD=parseable server --http-port 8000

Attach persistent volumes

In Klutch.sh storage settings, add mount paths and sizes (no names required):

  • /var/lib/parseable — log data and state.
  • /var/log/parseable — optional logs if stored on disk.
  • /etc/parseable/certs — TLS certs if you enable TLS.

Ensure these paths are writable (data/logs) and readable (certs) inside the container.


Deploy Parseable on Klutch.sh (Dockerfile workflow)

  1. Push your repository—with the Dockerfile at the root—to GitHub.
  2. Open klutch.sh/app, create a project, and add an app.
  3. Select HTTP traffic and set the internal port to 8000.
  4. Add the environment variables above, including admin credentials and storage/TLS settings.
  5. Attach persistent volumes for /var/lib/parseable (and optional /var/log/parseable and /etc/parseable/certs) sized for your log retention.
  6. Deploy. Your Parseable UI and ingestion endpoint will be reachable at https://example-app.klutch.sh.

Sample ingestion and query

Ingest logs:

Terminal window
curl -X POST "https://example-app.klutch.sh/api/v1/logs" \
-u "<admin-user>:<password>" \
-H "Content-Type: application/json" \
-d '{"timestamp":"2024-01-01T00:00:00Z","level":"info","message":"Hello from Parseable on Klutch.sh"}'

Query logs (example):

Terminal window
curl -X GET "https://example-app.klutch.sh/api/v1/query?level=info" \
-u "<admin-user>:<password>"

Health checks and production tips

  • Add an HTTP probe to / or /healthz (if enabled) for readiness.
  • Enforce HTTPS at the edge; forward internally to port 8000.
  • Keep admin credentials and storage keys in Klutch.sh secrets; rotate regularly.
  • Monitor disk usage on /var/lib/parseable; resize before it fills.
  • Pin image versions and test upgrades in staging; back up data if using local storage.

Parseable on Klutch.sh combines reproducible Docker builds with managed secrets, persistent storage, and flexible HTTP/TCP routing. With the Dockerfile at the repo root, port 8000 configured, and storage mounted, you can deliver real-time log aggregation without extra YAML or workflow overhead.