Datadog announced the launch of Error Tracking, a new product that automatically gathers application errors in realtime and intelligently aggregates them into actionable issues for engineering teams.
A single issue within an application can cause hundreds to thousands of errors due to events generated for every user session, code version, service, error type, SDK or other environmental detail affected by the issue. This overwhelming error volume can require several hours of manual analysis to identify underlying problems before an engineering team can triage the most critical issues, investigate and then resolve these errors. Datadog Error Tracking streamlines the troubleshooting effort by intelligently grouping individual application errors which are interrelated into a small set of issues. Engineering teams can then work off of this short list to determine the root cause and rapidly resolve the problem.
“In modern applications, the amount of errors can increase rapidly as we serve more users, make frontend code logic more complex with Single Page Applications, and increasingly rely on microservices and elastic infrastructure. Application engineers need a solution to prioritize issues in fast moving situations that impact customer experience and revenues,” said Renaud Boutet, Vice President, Product at Datadog. “Datadog Error Tracking automatically processes the data that is already available within our platform to provide engineers the insight that they need to resolve issues quickly and efficiently.”
Datadog Error Tracking will enable teams to clearly identify similar errors and view contextual data needed for resolution in a single platform. Key features include:
- Automatic Error Extraction: Errors are automatically extracted for existing users of Datadog RUM without the need to install a new SDK or write new code.
- Errors view: A simplified search function and visualization tool using tags and facets to group errors into related issues, as well as when an issue was first and last seen, to help teams prioritize their troubleshooting.
- Unminified stack traces: Access to unminified source-code, so teams can pinpoint the cause of the error from the stack trace.
- Seamless developer experience: Functions within existing CI/CD workflows using the Datadog CLI. This enables application developers to track their releases and link the associated source code with error-events generated by each release.
- Correlation across RUM sessions: Valuable data including session ID, view ID, URL, browser, location, OS, are automatically correlated with the error so teams can triage and resolve frontend application errors.
Datadog Error Tracking is now generally available within the Datadog platform and included for all RUM customers at no additional charge.
The Latest
An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...
Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...
In March, New Relic published the State of Observability for Media and Entertainment Report to share insights, data, and analysis into the adoption and business value of observability across the media and entertainment industry. Here are six key takeaways from the report ...
Regardless of their scale, business decisions often take time, effort, and a lot of back-and-forth discussion to reach any sort of actionable conclusion ... Any means of streamlining this process and getting from complex problems to optimal solutions more efficiently and reliably is key. How can organizations optimize their decision-making to save time and reduce excess effort from those involved? ...
As enterprises accelerate their cloud adoption strategies, CIOs are routinely exceeding their cloud budgets — a concern that's about to face additional pressure from an unexpected direction: uncertainty over semiconductor tariffs. The CIO Cloud Trends Survey & Report from Azul reveals the extent continued cloud investment despite cost overruns, and how organizations are attempting to bring spending under control ...
According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...
Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...
IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...
Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...
In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ...