Cloudera announced today that Cloudera Observability is now generally available for all customers using Cloudera Data Platform (CDP) on public or private cloud environments.
The solution delivers new capabilities to the open data lakehouse implemented with CDP providing actionable insights for data, applications, and infrastructure components to optimize costs, automatically resolve issues, and improve performance. Financial governance and FinOps enable cost management across CDP to avoid budget overruns and allow capacity projections for planning purposes.
"One of the biggest challenges for companies today when managing workloads operating in the cloud is to get a global view of spending on infrastructure and services," said Rob Bearden, CEO of Cloudera. "With Cloudera Observability customers get unprecedented visibility into workload and resource utilization to better control and automatically manage budget overruns, and improve performance."
Building on the company's experience with hybrid data solutions, Cloudera Observability empowers customers to monitor, understand, and optimize their CDP deployments. Customers also benefit from customizable automatic actions and pre-built actions to raise alerts, proactively avoid issues, and optimize workloads.
Cloudera Observability is available at no additional cost as part of applicable subscriptions to CDP and helps optimize the most frequently used data engines, including Hive, Impala and Spark for data engineering workloads. Cloudera Observability Premium adds high value capabilities, including custom auto-actions, deeper insights and richer automated troubleshooting. Support for new data engines and other platform components will be added over time.
Cloudera Observability is interoperable with Apache Iceberg, which is a key building block of Cloudera's open data lakehouse delivered via CDP. It is a high-performance open table format for large analytic tables that brings reliability to big data, while making it possible for multiple compute engines to work concurrently.
Cloudera's open data lakehouse helps organizations run quick analytics on all data - structured and unstructured – at massive scale. It eliminates data silos and allows data teams to collaborate on the same data with the tools of their choice on any public cloud and private cloud. Cloudera Observability enables a more cost-effective outcome across the full range of CDP's functions, resulting in an enhanced experience for enterprise users. This becomes increasingly important as companies level up their data management in support of foundational data for large language models and other AI initiatives across hybrid and multi-cloud environments.
The Latest
Broad proliferation of cloud infrastructure combined with continued support for remote workers is driving increased complexity and visibility challenges for network operations teams, according to new research conducted by Dimensional Research and sponsored by Broadcom ...
New research from ServiceNow and ThoughtLab reveals that less than 30% of banks feel their transformation efforts are meeting evolving customer digital needs. Additionally, 52% say they must revamp their strategy to counter competition from outside the sector. Adapting to these challenges isn't just about staying competitive — it's about staying in business ...
Leaders in the financial services sector are bullish on AI, with 95% of business and IT decision makers saying that AI is a top C-Suite priority, and 96% of respondents believing it provides their business a competitive advantage, according to Riverbed's Global AI and Digital Experience Survey ...
SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...
Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...
AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...
If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...
On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...
Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...
