/plushcap/analysis/datadog/trace-search-high-cardinality-data

Explore high-cardinality trace data with App Analytics

What's this blog post about?

App Analytics is a new feature in Datadog that provides distributed tracing for application performance monitoring (APM). It allows users to explore and analyze all their spans in one place, making it easier to find specific traces for troubleshooting or debugging. The tool supports filtering and aggregating data using high-cardinality dimensions like customer ID, user ID, or checkout value. App Analytics enables users to drill down and analyze every span quickly, even with thousands of services or millions of users. It also allows for slicing performance aggregates on the fly and provides a brand-new analytics interface for visualizing data using high-cardinality attributes. Users can add these views to their dashboards for continuous monitoring and pivot between related data sources using common tags, unifying the three pillars of observability: metrics, traces, and logs.

Company
Datadog

Date published
July 12, 2018

Author(s)
Brad Menezes

Word count
799

Hacker News points
None found.

Language
English


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