Do traditional on-prem observability techniques translate to the cloud? Many big data enterprises lack observability and thus struggle to manage and understand unprecedented amounts of data in the cloud. A monitoring solution may alert to a problem, but it can’t pinpoint the issue or quickly get to the root cause.
Observability, by contrast, tells you why you have a problem and often provides a recommendation on how to quickly resolve it. Combined with ML and automation, observability delivers actionable answers to optimize cloud-native applications while also improving overall cluster performance. Observability is particularly challenging in cloud environments, where the old, manual, cluster-by-cluster approach may be insufficient and error-prone.
In this webinar, you will learn three key techniques for achieving big data observability in the cloud.