Deploy Meilisearch on Northflank

Published 14th October 2025

Meilisearch is a powerful, open-source search engine built for speed, simplicity, and relevance. It provides instant full-text search with typo tolerance, filters, and faceting all accessible through a clean RESTful API. Developers use Meilisearch to build fast, relevant search experiences for websites, apps, and AI tools with minimal setup.

With Northflank, you can deploy Meilisearch in minutes using a one-click stack template. Northflank manages scaling, networking, and infrastructure, letting you focus on building great search functionality instead of maintaining servers.

What this template deploys

The Meilisearch on Northflank stack template includes:

  • 1 persistent volume – for storing your Meilisearch indexes and data
  • 1 secret group – for managing environment variables and credentials (e.g., API keys)
  • Deployment of the Meilisearch service from the official Docker image: getmeili/meilisearch:latest

This setup provides a ready-to-use Meilisearch instance in just a few clicks fully configured for secure, persistent, and scalable hosting.

How to get started

  1. Create an account on Northflank.
  2. Click Deploy Meilisearch now.
  3. Select Deploy stack to automatically provision the Meilisearch template.
  4. Once deployment completes, open the Meilisearch service in your Northflank dashboard.
  5. Access the code.run domain generated by Northflank to reach the Meilisearch API endpoint.
  6. (Optional) Add a custom domain for branded or production access.

Conclusion

Your Meilisearch instance is now live on Northflank scalable, secure, and production-ready.

With this setup, you can:

  • Build blazing-fast search experiences in minutes
  • Index and query millions of records with real-time results
  • Integrate easily with websites, apps, or AI assistants
  • Scale seamlessly without managing Kubernetes or infrastructure

Deploying Meilisearch with Northflank is the fastest way to run an open-source search engine in the cloud optimized for both speed and simplicity.

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