Cloudera’s new solution enables businesses manage budget overruns

Cloudera has announced that Cloudera Observability, delivering new capabilities to the open data lakehouse implemented with Cloudera Data Platform (CDP) providing actionable insights for data, applications, and infrastructure components to optimise costs, automatically resolve issues, and improve performance. Financial governance and FinOps enable cost management to avoid budget overruns and allow capacity projections for planning purposes.

“When managing workloads that operate in the cloud space, getting an international perspective of infrastructure and service costs is among the most significant challenges for businesses today,” said Ahmad Shakora, Regional Vice President, Emerging Markets at Cloudera. “With our new solution, businesses get unprecedented visibility into workload and resource utilisation to control and manage budget overruns and improve performance.”

Leveraging expertise from cloud service providers in hybrid data solutions, powerful tools equip customers with the means to monitor, comprehend, and optimise their deployments. Offering customisable automatic actions and pre-built alerts empowers users to proactively prevent issues, raise alarms, and optimise their workloads. With the new solution, businesses gain the edge they need to conquer the challenges of today’s complex cloud environments.

This powerful solution optimises popular data engines like Hive, Impala, and Spark, catering specifically to data engineering workloads. It even offers premium features like custom auto-actions, deeper insights, and automated troubleshooting. It seamlessly integrates with Apache Iceberg, a vital component of Cloudera’s open data lakehouse, enabling reliable and concurrent processing of large analytic tables.

Cloudera’s open data lakehouse empowers organisations to perform quick analytics on structured and unstructured data at a massive scale, eliminating data silos and enabling collaboration among data teams across public and private clouds. With the solution, users can expect a more cost-effective outcome and an enhanced enterprise experience, particularly as companies embrace advanced data management for AI initiatives in hybrid and multi-cloud environments.