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Datadog Acquires Undefined Labs

Datadog 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.

"In modern distributed systems, even small changes can have a big impact on applications' performance and availability," said Ilan Rabinovitch, VP, 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."

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.

“Joining Datadog is very exciting for the Undefined Labs team,” said Borja Burgos, co-founder and CEO at Undefined Labs. “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.”

Under the terms of the acquisition, Burgos will join Datadog as Director, Product Management and co-founder and CTO, Fernando Mayo will join Datadog as Director, Product Engineering. All other Undefined Labs employees based in Atlanta, GA and Madrid, Spain, will become Datadog employees. The Undefined Labs brand and its products will be sunsetted over the coming weeks.

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Datadog Acquires Undefined Labs

Datadog 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.

"In modern distributed systems, even small changes can have a big impact on applications' performance and availability," said Ilan Rabinovitch, VP, 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."

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.

“Joining Datadog is very exciting for the Undefined Labs team,” said Borja Burgos, co-founder and CEO at Undefined Labs. “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.”

Under the terms of the acquisition, Burgos will join Datadog as Director, Product Management and co-founder and CTO, Fernando Mayo will join Datadog as Director, Product Engineering. All other Undefined Labs employees based in Atlanta, GA and Madrid, Spain, will become Datadog employees. The Undefined Labs brand and its products will be sunsetted over the coming weeks.

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Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

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AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...