Big Data Observability - What Is It and How Do I Get It?

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Presented by

Heidi Carson, Pepperdata PM

About this talk

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, 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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Pepperdata is the Big Data performance company. Fortune 1000 enterprises depend on Pepperdata to manage and optimize the performance of Hadoop and Spark applications and infrastructure. Developers and IT Operations use Pepperdata soluions to diagnose and solve performance problems in production, increase infrastructure efficiencies, and maintain critical SLAs. Pepperdata automatically correlates performance issues between applications and operations, accelerates time to production, and increases infrastructure ROI. Pepperdata works with customer Big Data systems on-premises and in the cloud.