Cloudera announced two new offerings for Cloudera Observability Premium designed to simplify and automate platform administration.
These premium tier features provide a single source of observability across all cloud-based and on-premises data centers, even for the most secure enterprises.
Cloudera's expanded Cloudera Observability suite empowers enterprises with highly secure networks to operate observability entirely within their data centers or on the public cloud.
Cloudera's two new solutions in its Cloudera Observability suite include:
- Cloudera Observability Premium On-Premises allows customers with highly secure networks to run observability entirely within their data centers. This solution ensures optimal monitoring, troubleshooting, financial governance, data observability, and automated actions, even in air-gapped configurations.
- Cloudera Observability Premium for Public Cloud Data Hub extends all the advanced premium capabilities to public cloud users, including real-time monitoring, advanced financial governance, automated actions, and data observability.
With the addition of both these offerings, enterprises can now leverage high-value features such as real-time monitoring for Data Hub clusters, jobs, and queries, financial governance with new cost factors and capacity forecasting, workload views, alerts, and automated actions, along with data observability with hot and cold table analysis. These features aim to maximize investment, streamline self-service troubleshooting, and enhance visibility into resource costs and usage.
This release is a key expansion for Cloudera Observability, designed to continuously discover and collect performance telemetry data across applications, services, and infrastructure components running in enterprises' Cloudera environments.
"There is immense pressure on enterprises today to better manage data resources and efficiently leverage data across the organization," said Dipto Chakravarty, Chief Product Officer at Cloudera. "Cloudera Observability helps enterprises maximize cost-efficiency, enhance performance, and unlock intelligent insights. The new premium additions deepen these insights for enterprises and builds on our commitment to help customers take back control of their data, analytics, and AI."
The Latest
Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...
As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...
Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...
AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...
Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...
A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...
IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...
A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...
According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...
2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...