Event Lakehouse that works with Dynamic Event Schema
Kenobi helps you proactively monitor your application by defining correlations in your logs. Kenobi is designed to have a flexible rule-engine, easy-to-use interface and hassle-free deployment.
You can buffer a stream of logs to Kenobi and define filters and transformations on the platform using the GROK parser built into the platform.
Once you have events flowing in, you can define different sequences by joining them. Here are some of the examples:
Define aggregations on your events and sequences. Some of the allowed metric types include:
Kenobi enables you to create rules over your events and event sequences. Here are some rules that would be possible in the platform:
Kenobi can push these alerts to itself, email and slack currently.
Sounds useful?
Play around in demo environment 👇🏽
For the purpose of this sandbox, we have created a sample payment application. In the sandbox, you will be able to see logs from one such application, and how we can transform it into funnels and charts.
/bin/bash docker_deploy.sh
After this, you can use the platform on port 80 on your host IP address. Use the following credentials for login:
Username -> [email protected]
Password -> password
Take note of the deployment hostname/IP and note the API token from the API Keys section in your portal. They will be handy when setting up integration for sending events.
Doctor Droid's open source deployment is reasonably scalable due to its micro-service architecture. In case you see difficulties in scaling it, reach out to us at [email protected] and we'll help you.
You can run the in-built script for a basic payments workflow in an ecommerce company. Once your deployment is setup, set the following environment variables:
export HOST_URL=<your_deployment_ip_or_hostname> # Add http or https in it without the trailing slash
export API_TOKEN=<your_api_key>
Post this, you can run the basic python script that publishes events. Make sure you have python3 and pip3 installed in your environment
/bin/bash events_publish.sh
After your events start coming in, you can check them in the Search section.
Before being able to create funnels, metrics or rules, you need to parse data into a kenobi readable format.
You can stream application logs into Kenobi using:
Run the following command from the root directory
/bin/bash docker_stop.sh
Doctor Droid supports a robust cloud platform for Kenobi. If you'd like to use the cloud platform instead of managing the platform in-house, sign up on our website or book a demo.
This repo is available under the MIT license.