Instabug announced a new integration with Datadog, now available in the Datadog marketplace.
Datadog consolidates metrics, traces, logs and more to help organizations scale their cloud and hybrid environments, troubleshoot potential issues and provide customers with excellent digital experiences. The Datadog Marketplace connects Datadog customers with unique technology integrations that allow for more customization and flexibility. The Marketplace is a part of the Datadog Partner Network, which features benefits including access to dedicated sales and marketing resources and premium Datadog product training materials.
Building this Datadog offering differentiates Instabug as a Datadog Partner Network (DPN) member that has demonstrated success integrating with Datadog’s products, helping Datadog customers evaluate and use their technology productively, at scale and varying levels of complexity.
The Instabug integration helps mobile teams deliver superior user experiences by giving Datadog users deep insights into the performance of their mobile apps while simultaneously streamlining the collection of user feedback.
Through the Instabug widget, Datadog teams can track an App Apdex score, a single performance metric indicating the mobile user’s perceived quality of the app. The widget also displays specific user feedback, including automatically captured details to help identify the root cause of a bug or crash. These mobile insights help teams understand user-impacting events and—when combined with Datadog’s log analytics and infrastructure monitoring—arm engineering teams with the information needed to prioritize and resolve critical issues quickly.
“Instabug’s integration enables our joint customers to monitor user experiences in their mobile applications,” said Alex Vetras, Senior Product Manager at Datadog. “In addition to the distilled Apdex score, Instabug provides a breakdown of user sessions by level of success and a stream of the most recently filed bug reports. Together with Datadog, customers can now tie Instabug’s user feedback with the underlying infrastructure powering their mobile apps to deliver optimal levels of service.”
“Mobile apps are key to every business’s growth strategy. Mobile developers need an observability stack that combines the best of backend monitoring with a comprehensive view of the mobile user experience,” notes Kenny Johnston, VP Product at Instabug. “As a mobile-first company, Instabug’s expertise lies in helping developers understand, analyze, and enhance the app experience both quantitatively and qualitatively—whether that be crashes, app launch times, app ratings or bug reports. Our integration with Datadog creates a seamless view that enables teams to focus on what matters most to deliver an app that meets their users' increasingly high expectations.”
Instabug is now available for purchase in the Datadog marketplace.
The Latest
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 ...
Seamless shopping is a basic demand of today's boundaryless consumer — one with little patience for friction, limited tolerance for disconnected experiences and minimal hesitation in switching brands. Customers expect intuitive, highly personalized experiences and the ability to move effortlessly across physical and digital channels within the same journey. Failure to deliver can cost dearly ...
If your best engineers spend their days sorting tickets and resetting access, you are wasting talent. New global data shows that employees in the IT sector rank among the least motivated across industries. They're under a lot of pressure from many angles. Pressure to upskill and uncertainty around what agentic AI means for job security is creating anxiety. Meanwhile, these roles often function like an on-call job and require many repetitive tasks ...