Logentries announced enhanced analytics for JavaScript Object Notation (JSON) structured log data with automated recognition and indexing of unlimited amounts of JSON fields.
By automating the identification of JSON structured log data, JSON events can be more quickly processed, monitored in real-time and interrogated using advanced analytics, without any additional configuration or set-up required.
Logentries’ intelligent search capabilities offer real-time analysis and correlation of the data, with automated visualizations and reporting. Unlimited JSON field support enables users to more easily extract the rich data stored in logs, and use that information across a variety of use cases, including application performance monitoring (APM), security, operations troubleshooting and application usage tracking.
JSON structured log data is a popular format of machine-generated logs because it is both easily consumed by machines and is also human-readable, i.e. it is generally accessible in a text-based format. JSON is widely used to capture key-value pairs, and can be used across different programming languages. Because of these characteristics, the JSON format provides ease of use and time-savings that is valued across IT and DevOps teams. Logentries’ enhanced support for JSON now makes it even easier to identify, index and analyze this type of data for further investigation.
With Logentries’ enhanced JSON support, users can:
- Automatically identify JSON formats with no additional configuration required.
- Automatically highlight JSON fields in your log events for easy search and analysis.
- Easily apply search functions such as SUM, AVERAGE, GROUPBY to perform powerful analysis on JSON structured log data.
- Build out-of-the-box dashboards using JSON structured logs.
“We see more and more organizations producing logs in JSON format and we consider this a best practice among our Community,” said Trevor Parsons, Chief Scientist at Logentries. “Logentries’ enhanced JSON support is making it even easier for our users to perform powerful analysis on their data without requiring them to learn more complex and difficult to use query languages, thereby making the power of machine generated log data accessible to virtually anyone.”
The cloud-based Logentries service collects and pre-processes log events in real-time for on-demand analysis, alerting and visualization. With custom tagging and filtering, users can correlate security and performance issues with broader infrastructure activity including application usage, server metrics, and user behavior.
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