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Oracle Introduces New Oracle Management Cloud

Oracle announced Oracle Management Cloud (OMC), a suite of next-generation integrated monitoring, management and analytics solutions for IT organizations.

Part of the Oracle Cloud Platform, the new services enable a real-time, collaborative environment in which DevOps leaders, line-of-business managers and business analysts have a clear end-to-end view into the applications and technologies that support business services.

Oracle Management Cloud eliminates multiple information silos across end user and infrastructure data — silos that have traditionally limited visibility and created inefficiency. It renders unnecessary the complex manual application monitoring processes, multiple toolsets and dependence on large groups of IT staff that comprise troubleshooting and decision-making today and instead offers proactive management, rapid trouble-shooting and the ability to run IT like a business. It is designed for today’s heterogeneous environments running Oracle and non-Oracle software, across on-premises, Oracle Cloud and third-party cloud services. Built on a horizontally scalable platform with high throughput big data processing, it provides real-time analysis and deep insights across technical and business events.

The three newly available services include Oracle Application Performance Monitoring Cloud Service, Oracle Log Analytics Cloud Service, and Oracle IT Analytics Cloud Service.

- Oracle Application Performance Monitoring (APM) Cloud Service provides development and operations teams with the information that they need to find and fix issues with today’s mobile and web applications rapidly, via deep visibility into your application performance from the end user experience, through application server requests, and down to application logs.

- Oracle Log Analytics Cloud Service monitors, aggregates, indexes, and analyzes all log data from your on-premises and cloud applications and infrastructure—enabling users to search, explore, and correlate this data to troubleshoot problems faster, derive operational insight and make better decisions.

- Oracle IT Analytics Cloud Service provides 360-degree insight into the performance, availability, and capacity of applications and IT investments, enabling executives, analysts, and administrators to make critical decisions about their IT operations based on comprehensive system and data analysis.

“Oracle Management Cloud bolsters innovation by improving application visibility, operational efficiency and response time to make businesses more agile and serve end users better,” said Prakash Ramamurthy, SVP, Systems & Cloud Management at Oracle. “We continue to extend our leadership by offering high performance enterprise solutions in the cloud, expediting the cloud adoption journey for our customers and making them more competitive.”

The Oracle Management Cloud is the most recent addition to the Oracle Cloud Platform.

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Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

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AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

Oracle Introduces New Oracle Management Cloud

Oracle announced Oracle Management Cloud (OMC), a suite of next-generation integrated monitoring, management and analytics solutions for IT organizations.

Part of the Oracle Cloud Platform, the new services enable a real-time, collaborative environment in which DevOps leaders, line-of-business managers and business analysts have a clear end-to-end view into the applications and technologies that support business services.

Oracle Management Cloud eliminates multiple information silos across end user and infrastructure data — silos that have traditionally limited visibility and created inefficiency. It renders unnecessary the complex manual application monitoring processes, multiple toolsets and dependence on large groups of IT staff that comprise troubleshooting and decision-making today and instead offers proactive management, rapid trouble-shooting and the ability to run IT like a business. It is designed for today’s heterogeneous environments running Oracle and non-Oracle software, across on-premises, Oracle Cloud and third-party cloud services. Built on a horizontally scalable platform with high throughput big data processing, it provides real-time analysis and deep insights across technical and business events.

The three newly available services include Oracle Application Performance Monitoring Cloud Service, Oracle Log Analytics Cloud Service, and Oracle IT Analytics Cloud Service.

- Oracle Application Performance Monitoring (APM) Cloud Service provides development and operations teams with the information that they need to find and fix issues with today’s mobile and web applications rapidly, via deep visibility into your application performance from the end user experience, through application server requests, and down to application logs.

- Oracle Log Analytics Cloud Service monitors, aggregates, indexes, and analyzes all log data from your on-premises and cloud applications and infrastructure—enabling users to search, explore, and correlate this data to troubleshoot problems faster, derive operational insight and make better decisions.

- Oracle IT Analytics Cloud Service provides 360-degree insight into the performance, availability, and capacity of applications and IT investments, enabling executives, analysts, and administrators to make critical decisions about their IT operations based on comprehensive system and data analysis.

“Oracle Management Cloud bolsters innovation by improving application visibility, operational efficiency and response time to make businesses more agile and serve end users better,” said Prakash Ramamurthy, SVP, Systems & Cloud Management at Oracle. “We continue to extend our leadership by offering high performance enterprise solutions in the cloud, expediting the cloud adoption journey for our customers and making them more competitive.”

The Oracle Management Cloud is the most recent addition to the Oracle Cloud Platform.

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.