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ManageEngine Adds Support for Siebel CRM in Applications Manager

ManageEngine announced support for Siebel CRM in Applications Manager, its application performance monitoring solution.

The move provides operational intelligence to Applications Manager users who are running Siebel systems, helping them ensure high availability and performance for Siebel business applications.

ManageEngine is demonstrating Applications Manager and exhibiting the rest of its portfolio in booth 2327 at Interop Las Vegas 2014 being held March 31-April 4, 2014, at Mandalay Bay Convention Center in Las Vegas.

Siebel CRM typically supports critical business functions and large user communities. However, the complex nature of the Siebel web architecture - including application servers, web servers and other components - regularly presents management challenges to Siebel administrators. For instance, when a Siebel application becomes slow, the architecture makes it tough to understand the root cause of the performance degradation. As a result, a support team can spend days or weeks determining the root cause. The performance analytics from Applications Manager help ERP administrators understand and optimize the performance of Siebel CRM applications.

"Siebel solutions are business-critical applications whose high availability and performance are of great importance," said Sridhar Iyengar, VP of Product Management at ManageEngine. "Today's Siebel announcement demonstrates that ManageEngine is committed to ensuring our customers are getting the most out of their investment in Siebel CRM systems."

Applications Manager enables comprehensive Siebel CRM monitoring to minimize downtime and optimize the performance of Siebel CRM systems. Applications Manager monitors key performance metrics of Siebel, including components, sessions, statistics and more.

Among its many benefits, Applications Manager's Siebel monitoring gives IT administrators:

- Deep visibility into the health and performance of critical Siebel components to facilitate effective troubleshooting.

- An agentless monitoring solution for non-intrusive collection of key performance indicators.

- The ability to quickly identify failing or underperforming components and resolve issues before they affect Siebel CRM users.

- A unified view of Siebel and 50+ other applications - including SAP and Oracle E-Business Suite - all of which are supported out of the box by Applications Manager.

The Latest

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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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.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

ManageEngine Adds Support for Siebel CRM in Applications Manager

ManageEngine announced support for Siebel CRM in Applications Manager, its application performance monitoring solution.

The move provides operational intelligence to Applications Manager users who are running Siebel systems, helping them ensure high availability and performance for Siebel business applications.

ManageEngine is demonstrating Applications Manager and exhibiting the rest of its portfolio in booth 2327 at Interop Las Vegas 2014 being held March 31-April 4, 2014, at Mandalay Bay Convention Center in Las Vegas.

Siebel CRM typically supports critical business functions and large user communities. However, the complex nature of the Siebel web architecture - including application servers, web servers and other components - regularly presents management challenges to Siebel administrators. For instance, when a Siebel application becomes slow, the architecture makes it tough to understand the root cause of the performance degradation. As a result, a support team can spend days or weeks determining the root cause. The performance analytics from Applications Manager help ERP administrators understand and optimize the performance of Siebel CRM applications.

"Siebel solutions are business-critical applications whose high availability and performance are of great importance," said Sridhar Iyengar, VP of Product Management at ManageEngine. "Today's Siebel announcement demonstrates that ManageEngine is committed to ensuring our customers are getting the most out of their investment in Siebel CRM systems."

Applications Manager enables comprehensive Siebel CRM monitoring to minimize downtime and optimize the performance of Siebel CRM systems. Applications Manager monitors key performance metrics of Siebel, including components, sessions, statistics and more.

Among its many benefits, Applications Manager's Siebel monitoring gives IT administrators:

- Deep visibility into the health and performance of critical Siebel components to facilitate effective troubleshooting.

- An agentless monitoring solution for non-intrusive collection of key performance indicators.

- The ability to quickly identify failing or underperforming components and resolve issues before they affect Siebel CRM users.

- A unified view of Siebel and 50+ other applications - including SAP and Oracle E-Business Suite - all of which are supported out of the box by Applications Manager.

The Latest

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.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...