Big data observability is an extremely popular topic these days. What’s driving this interest? Why is observability needed? What is the difference between observability and monitoring?
When IT Ops knows there is a problem, but they can’t pinpoint or quickly get to the root cause, traditional monitoring approaches are not enough anymore. Achieving observability requires carefully correlating many different sources from logs, metrics, and traces. And this can present additional challenges in distributed environments that use containers and micro-services. In this webinar provided by our friends over at Pepperdata, you’ll get the answers to these questions:
- Why is observability essential in distributed big data environments?
- What are the critical challenges of the multi-cloud and containerized world?
- How can analytics stack performance solutions help you move from monitoring to observability?
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