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ManageEngine Announces Oracle Cloud Infrastructure Monitoring

ManageEngine announced that Applications Manager, its server, cloud and application performance monitoring solution, now supports performance monitoring for Oracle Cloud Infrastructure (OCI).

This enables IT operations teams to gain visibility into the health and performance of the OCI Compute service.

Additionally, Applications Manager virtualization monitoring module now supports Oracle VM.

More than a third of organizations worldwide see cloud expenditures as one of their top three investment priorities, according to a recent Gartner report. As services migrate to the cloud, company IT teams can find themselves managing hybrid cloud platforms—a mix of on-premises and multiple cloud infrastructures — to provide the optimal environment for their applications.

“While hybrid cloud adoption, containerization, microservices and other trends enable companies to innovate and act on consumer and market trends faster, they also vastly increase the complexity of the IT stack,” said Mathivanan Venkatachalam, VP at ManageEngine. “For Dev and Ops teams, the increased complexity results in a lack of end-to-end performance visibility, performance degradation and difficulty in measuring end-user experience of critical applications. Applications Manager helps DevOps and IT teams address those challenges, giving them a holistic view into their hybrid cloud environments so that they can pinpoint application and infrastructure issues, correlate problems and perform root-cause analysis across public or hybrid cloud deployments.”

ManageEngine Applications Manager delivers full stack monitoring to hybrid cloud environments by bringing together infrastructure monitoring, application performance monitoring and user experience monitoring into a unified solution. With the new support for Oracle Cloud, businesses that rely on OCI as an essential part of their digital transformation plans can look to Applications Manager with confidence that their applications are performing as they should.

With Applications Manager, IT teams can now proactively monitor the health and performance of Oracle Cloud Infrastructure and Oracle VMs, thereby ensuring the performance of applications based on these technologies. The key performance indicators of OCI monitored by Applications Manager include those pertaining to compute, block volume and networking utilization modules, of both bare metal and virtual machine instances.

Oracle VM is a low overhead, robust VM solution that helps enterprises realize the benefits of server virtualization. The key performance metrics of Oracle VM server and virtual machines monitored by Applications Manager include those related to components like server pool, storage and repository.

Among other benefits, the latest monitoring capabilities of Applications Manager help IT admins:

- Gain a 360-degree view into the performance of Oracle Cloud Infrastructure and Oracle VM, as well as the applications that rely on them.

- Receive actionable alerts on a wide array of error conditions and faults, detect issues faster, drill down to the root cause, and automate remedial actions before users are affected.

- Monitor resource utilization to ensure critical workloads do not run out of resources. Forecast growth and utilization trends with machine learning-powered analytics.

The support for OCI and Oracle VM is complementary to the existing out-of-the-box support for 100+ applications and infrastructure components, including other cloud platforms such as AWS, Microsoft Azure and OpenStack, and other virtualization technologies from VMware, Microsoft and Citrix.
Pricing and Availability

Applications Manager 14.3 with Oracle Cloud Infrastructure monitoring is available immediately.

Oracle VM monitoring is available as a beta feature in Applications Manager.

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ManageEngine Announces Oracle Cloud Infrastructure Monitoring

ManageEngine announced that Applications Manager, its server, cloud and application performance monitoring solution, now supports performance monitoring for Oracle Cloud Infrastructure (OCI).

This enables IT operations teams to gain visibility into the health and performance of the OCI Compute service.

Additionally, Applications Manager virtualization monitoring module now supports Oracle VM.

More than a third of organizations worldwide see cloud expenditures as one of their top three investment priorities, according to a recent Gartner report. As services migrate to the cloud, company IT teams can find themselves managing hybrid cloud platforms—a mix of on-premises and multiple cloud infrastructures — to provide the optimal environment for their applications.

“While hybrid cloud adoption, containerization, microservices and other trends enable companies to innovate and act on consumer and market trends faster, they also vastly increase the complexity of the IT stack,” said Mathivanan Venkatachalam, VP at ManageEngine. “For Dev and Ops teams, the increased complexity results in a lack of end-to-end performance visibility, performance degradation and difficulty in measuring end-user experience of critical applications. Applications Manager helps DevOps and IT teams address those challenges, giving them a holistic view into their hybrid cloud environments so that they can pinpoint application and infrastructure issues, correlate problems and perform root-cause analysis across public or hybrid cloud deployments.”

ManageEngine Applications Manager delivers full stack monitoring to hybrid cloud environments by bringing together infrastructure monitoring, application performance monitoring and user experience monitoring into a unified solution. With the new support for Oracle Cloud, businesses that rely on OCI as an essential part of their digital transformation plans can look to Applications Manager with confidence that their applications are performing as they should.

With Applications Manager, IT teams can now proactively monitor the health and performance of Oracle Cloud Infrastructure and Oracle VMs, thereby ensuring the performance of applications based on these technologies. The key performance indicators of OCI monitored by Applications Manager include those pertaining to compute, block volume and networking utilization modules, of both bare metal and virtual machine instances.

Oracle VM is a low overhead, robust VM solution that helps enterprises realize the benefits of server virtualization. The key performance metrics of Oracle VM server and virtual machines monitored by Applications Manager include those related to components like server pool, storage and repository.

Among other benefits, the latest monitoring capabilities of Applications Manager help IT admins:

- Gain a 360-degree view into the performance of Oracle Cloud Infrastructure and Oracle VM, as well as the applications that rely on them.

- Receive actionable alerts on a wide array of error conditions and faults, detect issues faster, drill down to the root cause, and automate remedial actions before users are affected.

- Monitor resource utilization to ensure critical workloads do not run out of resources. Forecast growth and utilization trends with machine learning-powered analytics.

The support for OCI and Oracle VM is complementary to the existing out-of-the-box support for 100+ applications and infrastructure components, including other cloud platforms such as AWS, Microsoft Azure and OpenStack, and other virtualization technologies from VMware, Microsoft and Citrix.
Pricing and Availability

Applications Manager 14.3 with Oracle Cloud Infrastructure monitoring is available immediately.

Oracle VM monitoring is available as a beta feature in Applications Manager.

The Latest

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

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 ...