August 17, 2020
launched Error Tracking which is 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
“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
Key features include:
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
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.