Deploy and try Meilisearch in 3 steps - 30 seconds ⏱

#database #meilisearch #cloud

MeiliSearch is a powerful, fast, open-source, easy to use, and deploy search engine. Both searching and indexing are highly customizable. Features such as typo-tolerance, filters, and synonyms are provided out-of-the-box. Meilisearch is a great Elasticsearch and Algolia alternative.

Here is how to deploy it in 3 steps with Qovery.

Qovery

Qovery is a PaaS to deploy your full-stack apps on your AWS or Digital Ocean account. Free hosting on Digital Ocean is provided for individual developers. This is what I am going to use for this quick tutorial

Deploy Meilisearch

1. Connect to Qovery

Connect to the Qovery web interface with your Github or Gitlab account.

2. Create a project

Give a name to your project.

3. Use Meilisearch template

Then select the Meilisearch template, click on "next", then click on "Deploy"

Congrats 👏, your Meilisearch instance is deployed and available through the provided public URL.

Check out the final video

In the next article, I will explain how to attach a custom domain.

Hands-on debugging session: instrument, monitor, and fix

Join Lazar for a hands-on session where you’ll build it, break it, debug it, and fix it. You’ll set up Sentry, track errors, use Session Replay and Tracing, and leverage some good ol’ AI to find and fix issues fast.

RSVP here →