A recent press release states, “Datadog, the leading monitoring and analytics platform for modern cloud environments, today announced the availability of Trace Search and Analytics. This new capability 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. When an issue occurs in a modern application, finding the trace that identifies the root cause becomes essential to remediating the problem. Finding these “needles in a haystack” has required developers to write labor intensive queries that are prone to slowness, inaccuracies, and delays during critical production issues.”

The release continues, “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.”

Read more at Business Wire.

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