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

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?
Pepperdata

Pepperdata

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Real-time, automated cloud cost optimization with no manual tuning
Pepperdata Capacity Optimizer delivers 30-47% greater cost savings for data-intensive workloads, eliminating the need for manual tuning by optimizing CPU and memory in real time with no application changes. Pepperdata pays for itself, immediately decreasing instance hours/waste, increasing utilization, and freeing developers from manual tuning to focus on innovation.
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