It saves me a lot of time when checking logs, which makes it easier to identify and fix production issues.

I use Oodle AI for db monitoring, logs for info, errors or any breakage in the code, also for metrics and analytics. Whenever there is any issue, I come to Oodle for the backtrace and the files where exactly it caused the issue and what time. Oodle helps debug issues quicker via tags and its breakup for the logs. Debugging a production issue via user details helps in finding the logs very quickly and by backtracing and checking the impacted areas. We switched to Oodle for better performance and detailed information with metrics. The initial setup was quicker with the tour guide.

I use Oodle AI mainly for ingesting logs from my software stack and querying them to monitor system health and handle issues. It works seamlessly with our AI tools like Claude code and Cursor, making integration easy and cost-effective. What I like most is the ease of integration with Claude code, as I don't need to learn another query language; I can explain what I need in natural language and let Oodle AI handle the rest. Setting up infrastructure through Claude is smooth, like setting up dashboards or configuring metrics for visualizations.