Take Control of Cloud Spending with Cloudera Observability
At this point in their digital transformation, many CIOs are facing a complex challenge: how to tame painful cost overruns for cloud computing.
Murky pricing and mounds of marginally useful data from scattered sources, including on-premise datacenters and multiple cloud platforms, challenge administrative sleuths as they try to shine a light on surcharges. As well, the rogue workloads that are often the culprits can also threaten SLA commitments by monopolizing resources. That can crush revenues and imperil customer retention.
And now, the need to take control of runaway infrastructure spending is taking on a new urgency. That’s the result of two seemingly opposing directives: expand capabilities for new initiatives like generative AI, and tighten belts to keep the enterprise profitable in the face of a looming economic slowdown.
Fortunately, one of the most advanced tools for tackling such problems is just now becoming available. And CIOs who’ve deployed Cloudera Data Platform, or CDP, have ready access. The tool is called Cloudera Observability.
Cloudera Observability leapfrogs existing infrastructure-monitoring tools and baseline observability services in several ways. First, it enjoys an intimate, front-row view of process telemetry and operational data/metadata inside the enterprise data lakehouse. That gives it a best-of-breed ability to spot a much wider constellation of problems.
As well, Cloudera Observability is an applied observability tool, which means it not only helps administrators quickly identify issues. It can also make recommendations for how to respond the next time. It can even automate responses for hands-free troubleshooting and resolution.
Out of the gate, the CDP applied observability tool is focused on two primary pain points: FinOps — that is, the financial governance of DevOps — as well as customer support. In addition to assisting administrators in those two areas, Cloudera Observability can also help data scientists and business analysts optimize projects, so they can get more done without busting their budgets and jeopardizing customer relationships.
“Cloudera Observability is a software-as-a-service environment that federates all of the telemetry from across your entire CDP estate,” said David Dichmann, Senior Director at Cloudera. “It’s a single pane of glass for all your data, from every cloud and from on-premises. That consistent experience is what the new hybrid is all about!”
For this first stage of Cloudera Observability, at least, the service centers on the data engineering and warehousing functions of both structured and unstructured data, for both public cloud and on-premise deployments. It’s even data lakehouse-ready, with formats supported by the open-source Apache Iceberg. Formats supported thus far include Hive, Impala, MapReduce, Oozie and Spark.
In the future, the open-source Open Telemetry framework will not only enable the Cloudera Observability platform to expand beyond CDP. It will also allow competitive observability platforms to garner the intimacy they need to provide the insight, resolution and automation that Cloudera Observability now offers for CDP.
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