Datadog, the monitoring and security platform for cloud applications, announced that it has acquired Undefined Labs, a testing and observability company for developer workflows. This acquisition extends Datadog’s existing platform into development environments and will provide organizations with better tooling and monitoring in continuous integration and deployment (CI/CD) workflows.
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“We believe that visibility into pre-production is only the beginning and the greatest value will come from our customer’s ability to correlate development and production data.”
“In modern distributed systems, even small changes can have a big impact on applications’ performance and availability,” said Ilan Rabinovitch, Vice President, Product and Community at Datadog. “By enabling observability early in the development cycle, we can help teams optimize builds and gain visibility into key continuous integration and delivery workflows. Undefined Labs will form a solid basis for making observability a key part of every development cycle by diagnosing, catching, and avoiding performance challenges long before they hit production.”
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While performance and monitoring tooling for applications running in production have been widely available for decades, there is a severe lack of visibility in the earlier parts of the software development lifecycle. As changes to an application’s code are introduced, tracing the root cause to a specific change has become increasingly complex and time-consuming. These difficulties cause significant delays in the shipping of new software features and bug fixes. With the Datadog/Undefined Labs combination, customers will be able to identify and fix regressions before they make it to production by understanding what’s running where and how it got there.
According to Forrester Research1, “Speed-to-market is an overriding concern for firms offering digital products today. Those who can manage this speed, leverage it to ‘discover’ products and services via market exploration and feedback. The faster the execution of this build-measure-learn feedback loop, the more chance the product has of achieving breakaway popularity.”
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