Datadog Releases Trace Search and Analytics
July 12, 2018
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Datadog announced the availability of Trace Search and Analytics, a new capability that allows engineers to explore, graph, and correlate high cardinality application performance data.

With Trace Search and Analytics, users can pinpoint exact traces for specific customers by filtering on key business and application attributes such as usernames, customer, host, domain SKUs, dollar value, etc.

Datadog’s Trace Search and Analytics offers a search-engine-like experience where results update in real-time as a user types in their search criteria. This is a significant speed advantage when sifting through application data during an outage. Notably, using this search capability does not require writing in a specialized query language, allowing any user to explore trace data on-the-fly immediately.

Furthermore, the search results can also be quantified, graphed, and compared using these same attributes without limits of cardinality.

Lastly, trace search results are tightly integrated with performance data from logs and infrastructure metrics so users can correlate a specific trace to the performance of the underlying application infrastructure to pinpoint the root cause of an issue.

“Trace Search and Analytics is the next evolution of Datadog’s APM Product and is a direct response to our customers’ need to quickly find specific traces to determine the root cause of an incident,” said Brad Menezes, Director of Product Management at Datadog. “I’ve been excited to watch users adopt this functionality and change their daily workflow -- it makes it clear that the ability to slice and dice application metrics on-the-fly without cardinality limitations is a killer feature for customers.”

Trace Search and Analytics is now available within Datadog for all existing customers and new users.

Datadog also announced Watchdog, a machine learning based autonomous monitoring capability, and Logging Without Limits, new capabilities that completely change how logs are used by DevOps teams.

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