- LogDNA, a provider of multi-cloud log management solutions, has introduced performance and usability updates that enable developers to more easily query, filter, and gain insight from their log data. The new features are intended to help developers identify and resolve issues to reduce downtime and quickly fix performance issues.
“The complexity of developing, deploying, and scaling applications is exponentially more complicated today than even just a few months ago, and the amount of data even small teams deal with on a daily basis is becoming untenable,” said Peter Cho, vice president of product management at LogDNA. “We are constantly evolving LogDNA to empower developers to tame the chaos generated by ever-increasing data volumes and quickly surface the insights hidden in their logs.”
The new features include Agent v2, which leverages the Linux kernel to monitor log files and directories for changes, freeing up CPU utilization, improving stability and accuracy, and removing duplicate lines with symbolic linked log files; and hourly archiving which enables archived logs to be received faster with just a portion of logs unzipped at a time instead of an entire day’s worth. Users can also extract, aggregate, and export fields from log lines that have already been indexed. Unlike the custom log parser, the extract and aggregate feature allows users to parse out additional fields on an ad hoc basis from historical logs without having to re-ingest them, creating the ability to preview the extracted fields before making bigger changes with custom parsing. Finally, alert integration enables customers to easily integrate LogDNA alerts with additional third-party services of their choice, such as JIRA or Microsoft Teams. Using custom webhooks, users can automatically trigger a task in their ticketing system or automatically send a message on a chat platform.
For more information, visit LogDNA.com