New Relic added new capabilities to its log management feature:
- The ability to detect patterns and outliers in log data
Now out of beta and broadly available, you can reduce troubleshooting time by using machine learning to detect clustered patterns to surface outliers in log data automatically. This capability enables you to quickly find patterns to reduce noise and create queries, alerts, and dashboards based on those patterns for deeper analysis.
- Simple, more intuitive analytics
New Relic made significant changes in the Logs UI. For example, you can efficiently find and use advanced features directly from the main screen. You’ll find more UI space dedicated to logs, making it easier to see the details and debug faster. This updated UI experience also includes colorization of log levels, a message summary, expanded dashboard visualization for displaying long log messages directly in dashboards, and more.
- Partitioning of data any way you want for fast search performance
Massively scaled search performance based on data partitioning provides flexibility to segment data in a way that makes sense for your teams, use cases, or logical groupings. You can optimize searches against high volumes of data to search one or multiple partitions and quickly return the results needed.
- Easier log onboarding
New Relic made it even easier to get log data into New Relic One. The recently released guided install enables you to find additional logs in common locations that will help expand your visibility while also making it easier to onboard higher volumes of data. New Relic also added Native Heroku cloud support to expand out-of-box support for one of the most common cloud sources used by developers. And they added an option to bring in data without needing to install or maintain any third-party software, with agentless syslog support through our TCP endpoint.
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