Netmagic Solutions, India's largest pure-play, Managed IT Hosting Services Provider and a leader in the Indian Cloud Infrastructure (IaaS) market, has expanded its application performance management (APM) partnership with Compuware.
Netmagic will offer Compuware APM products — Gomez — to its customers in a pay-as-you-use service model as part of the company's existing Managed Services Portfolio (MSP) offerings.
Compuware Gomez provides a comprehensive set of web and mobile performance metrics that will help Netmagic improve the performance and availability of mission-critical applications of its hosted client base.
With the ability to monitor user performance across the entire application delivery chain, Netmagic will now be able to help enterprises track end-user experience, measure application performance and baseline performance over time. The WebSmart service will also help identify application performance problems and proactively resolve performance issues.
Netmagic provides world-class services that address the mission-critical IT requirements of more than 1,200 customers globally. These customers rely on Netmagic to host and manage web-based client applications, many of which are accessed daily by millions of end-users. In order to ensure that these systems — as well as their own cloud and hosting infrastructures — are up and running 24/7 with uninterrupted service, Netmagic partnered with Compuware for application performance.
"Netmagic aims to provide the most comprehensive suite of business solutions in the application performance space," said Nitin Mishra, VP of Product Management at Netmagic Solutions. "The majority of business users who are engaged with customers are not equipped with the right solution. By providing a unified view across the entire application delivery chain with Compuware's Gomez, Netmagic will help client organizations stay competitive and help them focus on their core business needs."
"Organizations in India are looking for ways to increase efficiency and improve agility while meeting changing customer needs," said Neeraj Dotel, Managing Director at Compuware India. "We are pleased to partner with Netmagic Solutions and help its clients improve business productivity and application performance. Companies need to understand how customers use their sites to capitalize on every single interaction and application usage. Compuware strives to provide the most inclusive set of technologies to optimize all aspects of application performance."
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 ...