

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
A new study by the IBM Institute for Business Value reveals that enterprises are expected to significantly scale AI-enabled workflows, many driven by agentic AI, relying on them for improved decision making and automation. The AI Projects to Profits study revealed that respondents expect AI-enabled workflows to grow from 3% today to 25% by the end of 2025. With 70% of surveyed executives indicating that agentic AI is important to their organization's future, the research suggests that many organizations are actively encouraging experimentation ...
Respondents predict that agentic AI will play an increasingly prominent role in their interactions with technology vendors over the coming years and are positive about the benefits it will bring, according to The Race to an Agentic Future: How Agentic AI Will Transform Customer Experience, a report from Cisco ...
A new wave of tariffs, some exceeding 100%, is sending shockwaves across the technology industry. Enterprises are grappling with sudden, dramatic cost increases that threaten to disrupt carefully planned budgets, sourcing strategies, and deployment plans. For CIOs and CTOs, this isn't just an economic setback; it's a wake-up call. The era of predictable cloud pricing and stable global supply chains is over ...
As artificial intelligence (AI) adoption gains momentum, network readiness is emerging as a critical success factor. AI workloads generate unpredictable bursts of traffic, demanding high-speed connectivity that is low latency and lossless. AI adoption will require upgrades and optimizations in data center networks and wide-area networks (WANs). This is prompting enterprise IT teams to rethink, re-architect, and upgrade their data center and WANs to support AI-driven operations ...
Artificial intelligence (AI) is core to observability practices, with some 41% of respondents reporting AI adoption as a core driver of observability, according to the State of Observability for Financial Services and Insurance report from New Relic ...
Application performance monitoring (APM) is a game of catching up — building dashboards, setting thresholds, tuning alerts, and manually correlating metrics to root causes. In the early days, this straightforward model worked as applications were simpler, stacks more predictable, and telemetry was manageable. Today, the landscape has shifted, and more assertive tools are needed ...
Cloud adoption has accelerated, but backup strategies haven't always kept pace. Many organizations continue to rely on backup strategies that were either lifted directly from on-prem environments or use cloud-native tools in limited, DR-focused ways ... Eon uncovered a handful of critical gaps regarding how organizations approach cloud backup. To capture these prevailing winds, we gathered insights from 150+ IT and cloud leaders at the recent Google Cloud Next conference, which we've compiled into the 2025 State of Cloud Data Backup ...
Private clouds are no longer playing catch-up, and public clouds are no longer the default as organizations recalibrate their cloud strategies, according to the Private Cloud Outlook 2025 report from Broadcom. More than half (53%) of survey respondents say private cloud is their top priority for deploying new workloads over the next three years, while 69% are considering workload repatriation from public to private cloud, with one-third having already done so ...
As organizations chase productivity gains from generative AI, teams are overwhelmingly focused on improving delivery speed (45%) over enhancing software quality (13%), according to the Quality Transformation Report from Tricentis ...
Back in March of this year ... MongoDB's stock price took a serious tumble ... In my opinion, it reflects a deeper structural issue in enterprise software economics altogether — vendor lock-in ...