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Learn to send events to Lumi

AI summary
Explains how to send tutorial data to Imply Lumi as the first step in an observability workflow. Describes different approaches for sending data based on your event logging infrastructure.

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The first step to using the tutorial data in an observability workflow is sending events to Lumi.

The following diagram shows where this tutorial fits in the end-to-end process of sending, transforming, and querying events. Yellow shaded boxes represent steps taken within Lumi, and blue shaded boxes represent steps taken outside Lumi. Click any box to go to that tutorial.

There are many ways you can send data to Lumi. The approach that's best for you depends on your event logging infrastructure. For example:

  • You might have an OpenTelemetry collector that receives telemetry data from Kubernetes®.
  • You might have logs stored in an Amazon S3 bucket or published to Amazon Data Firehose.
  • You might already have a Splunk® universal forwarder set up to monitor system access logs.

In many cases, there's a protocol to suit your needs, even if it's just sending HTTP requests from your application. To learn about the available integrations for sending events, see Send events to Lumi. There, you can also find strategies to consider to decide which integration fits your use case.

The following tutorials explain how to send events to Lumi. Each tutorial is standalone and focuses on a specific ingestion protocol or data source. You can learn more about each integration from the corresponding guide in Send events. To learn about the tutorial data, see Tutorial data.

If you haven't already, check out the quickstart to learn how to upload a file to Lumi and query events.