Discover ways to investigate your data. Find data to analyze, identify and investigate trends and outliers, and correlate changes in data to incidents. Then collaborate with your team by sharing your findings.
Construct queries to ask powerful questions, and find and analyze data from scratch. Build queries manually or from natural language.
Explore example queries of trace data to use as inspiration when analyzing the performance and behavior of your applications.
Explore example queries of metrics data to use as inspiration when analyzing the performance and behavior of your systems.
Customize how you interact with your data. Customize the display of your query results and annotate with markers to identify points in time.
Analyze and rapidly identify the cause of outliers by highlighting unusual events.
Programmatically create links directly to traces, so you can launch directly into a trace waterfall display from third-party tools.
Create parameterized links to generate new queries that you can share or link to from third-party tools.
Search through your own query history and those of your teammates to learn how a problem was solved previously.
Explore and analyze data you collect from applications to understand your system’s overall health and to troubleshoot problems when they arise.
Explore and analyze data you collect from logs to understand your system’s overall health and to troubleshoot problems when they arise.
Explore and analyze data you collect from Kubernetes to understand your system’s overall health and to troubleshoot problems when they arise.
Explore and analyze data you collect from Amazon Web Services (AWS) to understand your system’s overall health and to troubleshoot problems when they arise.
