Cloud native technologies have made it harder to understand how systems are behaving. Logs are the answer, but how do you make sense of them?
Before cloud native technologies, it was easier to understand how your systems were behaving.
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But these days, as microservices scale and become more distributed, the volume and variety of log and event data they produce can be overwhelming. But it’s also because of this complexity that it’s more important than ever for cloud and DevOps engineers to be able to distinguish between valuable information and noise, and identify crucial trends – as well as potential security threats.
In this panel, observability experts explain why a log management strategy is crucial if you want to accurately assess the health and compliance of your applications.
In this panel, learn how to:
- How to filter out noise and prioritize critical events
- Techniques to correlate logs across different services and environments
- The role of AI in root cause analysis
- Managing the cost of high data volumes
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