Akamai DataStream

Get started with Akamai DataStream.

Note: DataStream is currently in a closed beta, but is expected to be widely available in early 2019. The instructions below are for Akamai customers who have access to the beta. Your sales representative can put you in touch with the DataStream product team if you’d like more information.

There are four steps to get started with Akamai DataStream:

  1. Add a stream
  2. Configure your stream
  3. Associate the stream to your property configuration
  4. Monitor and get insights

1. Add a stream

To begin adding a stream, open the Configure menu in the Akamai Luna Control Center and select DataStream, as seen here:

luna

In the next window, click the “Add new stream” button (shown below) which takes you to a configuration wizard where you can add your stream.

add new stream

2. Configure your stream

After adding your new stream, you can add hostnames, choose log types, and specify a destination. Then you can choose data sets by selecting your preferred fields. Finally, review your setup before publishing the stream.

configure

3. Associate the stream to your property configuration

To associate the stream to your property configuration, simply enable the DataStream behavior by moving the slider button to “On” as seen in the screenshot below:

switch on

4. Monitor and get insights

You can extract data from DataStream using A) pull APIs or B) push APIs to constantly monitor and get the insights you need.

A) Extracting data using pull APIs

If you plan to use pull APIs rather than push APIs, simply select the “Do not push data to any destination” checkbox as shown in the screenshot below. This will configure DataStream for a pull-only model.

do not push

B) Extracting data using push APIs:

If you plan to use push APIs, DataStream provides out-of-the-box integration with tools like Splunk, Sumo Logic, and Amazon S3, so you can push the data to your preferred tool in order to visualize the aggregated metrics and raw logs. Developers can also leverage open source tools like Grafana and ELK for visualization and log processing.