Your customer reaches out to let you know that something isn’t working and there’s an issue with your application. You had no idea. While everyone scrambles to react, you wonder if there’s a more proactive solution.
Monitoring alone is not enough to quickly diagnose and resolve issues. But the resources that you monitor generate a lot of log data that can be useful when you know what to look for. While manually sifting through alerts is time-consuming and resource-intensive, there’s a better way to reduce MTTR. It starts with log data + anomalies.
In this guide, we’ll dive into:
- What log anomalies are (and what they’re not)
- How log anomalies enable less downtime and better service availability
- How LogicMonitor identifies log anomalies alongside metrics
- Tips to help you proactively learn from log anomalies