Start-local is an option for quickly getting started and running Elasticsearch locally for testing and development on macOS, Linux and Windows (using WSL) as a Docker container.
This configuration is not designed for production environments due to security constraints. Be sure to review the deployment options for a list of production deployment options.
Run the start local script in your terminal:
While everything is loading, you should see something similar to the terminal display below, indicating that Elasticsearch and Kibana instances are being initialized, along with the version used. This script generates a random password, API access key, and an elastic-start-local folder. Some important files inside this folder are:
.env:This file contains access variables and information needed to connect to your Elasticsearch and Kibana instances.docker-compose.yml: the docker compose file to start your elasticsearch and kibana instances.start.sh/stop.sh/uninstall.sh: commands to change the state of your local instances.
1. Once everything has been created, you should have a screen that looks like the following, displaying the local address to open Kibana, your API endpoint, username, password, and URL in your terminal.
2. Click on the link that opens in your browser and log in with your username and password.
3. You should now see a page that allows you to set up integrations, enabling you to connect to a dataset or explore on your own.
4. If you click explore on your own, you’ll be directed to the home page of Kibana and are free to explore and test with Elasticsearch locally 🎉
For more information about start-local, you can visit our official product page: https://github.com/elastic/start-local
Previously
Serverless