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Datadog Apps Launched

Datadog announced the launch of Datadog Apps, a program for partners to build applications that provide seamless workflows between partners’ products and the Datadog platform.

Launch partners for Datadog Apps include Embrace, Fairwinds, Harness, LaunchDarkly, PagerDuty, Rookout, and Shoreline, whose apps are all available on the Datadog Marketplace.

Datadog Apps allows technology partners to deliver their application capabilities as native applications inside the Datadog platform. This delivers a seamless workflow for Datadog users to create and view custom data visualizations, respond to identified issues, and make changes to their applications and systems. For example, users will now be able to acknowledge or resolve an incident, turn on a feature flag, or launch a remediation workflow, all from within the platform.

“Datadog has quickly become the de facto monitoring and observability platform in the organizations we serve, providing insights drawn from an organization’s infrastructure, logs and application data. To act on these insights, users often have to log in and ‘swivel chair’ to other applications, which can be disruptive to their workflow and lead to a disjointed user experience,” said Marc Weisman, VP, Product, Datadog. “With the release of Datadog Apps, we are deepening our integrations with technology partners to deliver a more seamless experience for our users, so that they are better able to maintain the health of their systems and their businesses.”

The Datadog Developer Platform provides:

- Datadog Apps Software Development Kit (SDK): Reusable libraries and UI components to allow developers to quickly begin building applications

- Datadog Apps Development Support: Dedicated product and engineering support from Datadog’s internal teams

- Datadog Marketing and GTM Support: Access to joint marketing and sales enablement resources to build awareness within Datadog’s customer base

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Datadog Apps Launched

Datadog announced the launch of Datadog Apps, a program for partners to build applications that provide seamless workflows between partners’ products and the Datadog platform.

Launch partners for Datadog Apps include Embrace, Fairwinds, Harness, LaunchDarkly, PagerDuty, Rookout, and Shoreline, whose apps are all available on the Datadog Marketplace.

Datadog Apps allows technology partners to deliver their application capabilities as native applications inside the Datadog platform. This delivers a seamless workflow for Datadog users to create and view custom data visualizations, respond to identified issues, and make changes to their applications and systems. For example, users will now be able to acknowledge or resolve an incident, turn on a feature flag, or launch a remediation workflow, all from within the platform.

“Datadog has quickly become the de facto monitoring and observability platform in the organizations we serve, providing insights drawn from an organization’s infrastructure, logs and application data. To act on these insights, users often have to log in and ‘swivel chair’ to other applications, which can be disruptive to their workflow and lead to a disjointed user experience,” said Marc Weisman, VP, Product, Datadog. “With the release of Datadog Apps, we are deepening our integrations with technology partners to deliver a more seamless experience for our users, so that they are better able to maintain the health of their systems and their businesses.”

The Datadog Developer Platform provides:

- Datadog Apps Software Development Kit (SDK): Reusable libraries and UI components to allow developers to quickly begin building applications

- Datadog Apps Development Support: Dedicated product and engineering support from Datadog’s internal teams

- Datadog Marketing and GTM Support: Access to joint marketing and sales enablement resources to build awareness within Datadog’s customer base

The Latest

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

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 ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

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 ...