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Datadog, the cloud monitoring and analytics platform, has acquired startup Madumbo, which specialized in synthetic performance testing. With this acquisition, Datadog is pivoting the Madumbo technology to offer a machine learning (ML)-based automated website-testing solution that is code free. This automated approach is made possible by combining Madumbo's synthetic testing technology and ML algorithms with Datadog's deep analytics. The software-testing space is showing innovation through use of ML, and this offering is an example of a new trend.

Madumbo has become Datadog Synthetics

The new offering is twofold: API tests will be generally available on March 5, 2019, and browser tests will follow thereafter. Datadog Synthetics API tests check availability, HTTP calls, and uptime of websites. The synthetic calls are made from multiple locations worldwide. Unlike with traditional synthetic performance testing, Datadog integrates synthetic tests with other tools from its portfolio. For example, the APM integration allows developers to know instantly the reason for a test to fail. The tie-in with Datadog allows for full end-to-end visibility across infrastructure and code.

The browser tests also perform globally initiated synthetic tests and simulate a customer journey. The test actions use a recorder with no code required. The ML algorithms capture objects on the screen and keep track of them when the website code changes (self-healing scripts), so the tests do not have to be reinstantiated after every small change.

Datadog is investing heavily in APM at the moment and has also recently added APM language support for PHP and .Net.



Michael Azoff, Distinguished Analyst, IT Infrastructure

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