ManageEngine's performance monitoring software package, Applications Manager, now supports monitoring of the Microsoft Windows Azure cloud platform and applications running on the platform as well as monitoring of transactions in .NET environments.
The company also introduced the Applications Manager Cloud Starter Edition for organizations looking to quickly leverage a proven, cost-effective solution for monitoring their cloud services.
With more revenue-critical applications on PaaS systems such as Windows Azure, organizations need to proactively and cost-effectively monitor the performance of their cloud-based applications to maximize uptime and to optimize capacity planning. Meanwhile, the success of .NET means that more IT departments have growing numbers of .NET applications running in both traditional and cloud environments, requiring the extension of performance monitoring to include the Microsoft framework.
"Traditionally, SaaS companies prefer to build versus buy their monitoring software," said Gibu Mathew, Director of Product Management at ManageEngine. "But today, those companies have less time to build monitoring solutions that are becoming increasingly complex. We've refined Applications Manager to address the complexity of supporting Windows Azure and .NET. We've also addressed IT departments' time - and cash - crunch with a starter edition that lets users monitor public clouds and apps out of the box as well as retain the flexibility they need for monitoring their cloud services."
The Windows Azure monitoring support in Applications Manager helps IT administrators ensure their business-critical applications running on the Windows Azure platform are performing optimally at all times. It helps IT administrators to view the performance of web, worker and VM roles, troubleshoot performance issues proactively and also optimize resource usage.
Among its many benefits, Windows Azure monitoring lets IT professionals:
- Discover Windows Azure applications and all role instances
- Monitor the different states of Windows Azure role instances, receive alerts for critical states and troubleshoot before end users are affected
- Monitor CPU usage, memory and network traffic of VMs
- Monitor request execution time, requests rejected and TCP connections of web apps
The latest release of Applications Manager also includes .NET transaction monitoring to help development teams identify slow spots in transactions by showing method level traces and database queries.
Similarly, Applications Manager now provides Apdex user experience scores for .NET components, helping IT communicate application performance achievements to the line of business managers in business-friendly language.
Finally, the new Applications Manager Cloud Starter Edition targets organizations looking to launch cloud-based offerings. Like the rest of the Applications Manager editions, the Cloud Starter Edition is easy to deploy and provides a simple, easy-to-use interface for monitoring physical, virtual and cloud entities. The Cloud Starter Edition supports monitoring of private and public clouds as well as Linux servers, virtualization software such as VMware or in-memory databases like Memcached, and messaging software like RabbitMQ. Organizations having a much broader portfolio of applications - including commercial, packaged applications - in their data center can opt for either Professional or Enterprise editions of Applications Manager.
Applications Manager 10.8 is available immediately with prices starting at $795 for up to 25 servers or applications. Applications Manager Cloud Starter Edition is also available immediately with prices starting at $495 for up to 50 servers or applications.
Click here for more information on 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 ...