At Citrix Synergy, CA Technologies announced the latest version of its Infrastructure Management capabilities — CA Infrastructure Management 2.2 — providing complete support for Citrix XenDesktop 7.
The announcement is the result of nearly eight months of collaboration between CA Technologies and Citrix to deliver key capabilities in CA Infrastructure Management for enterprises and CA Nimsoft Monitor for managed service providers (MSPs).
The offerings are designed to help mutual customers gain visibility into the performance, activities, events, metrics and configurations of their infrastructure and virtual desktop services.
The CA Technologies offerings allow IT staffs to seamlessly correlate Citrix XenDesktop with its underlying physical and virtual deployment infrastructure, delivering comprehensive, timely and actionable information to optimize service reliability and end user experience.
In October 2012, the two companies announced a partnership to help enterprises and service providers increase agility and productivity by providing additional management and monitoring capabilities on top of Citrix cloud and desktop virtualization solutions.
“Customers are always looking for ways to simplify and improve their day-to-day operations with broader visibility across systems,” said Bob Schultz, Group VP and GM of the Desktop business, Citrix. “Together with CA Technologies, we are able to deliver a common solution to enterprise monitoring and manageability that spans both the underlying infrastructure and XenDesktop, leading to faster problem resolution and optimized service delivery.”
Both CA Technologies and Citrix customers benefit from these new technology capabilities in three ways:
- Reduced operational costs through consolidated monitoring
- Lower operational risk through faster and more efficient problem isolation and remediation
- Greater overall system stability, reliability and performance as a result of predictive monitoring and systems downtime avoidance
CA Technologies is one of the first software companies to integrate the front-end desktop user experience and back end infrastructure management in one easy-to-use dashboard. With this integration, Citrix XenDesktop can now be monitored holistically as part of the broader IT infrastructure and integrated into standard IT support and troubleshooting processes.
Over the next several weeks, CA Technologies will be working to bring these new solution capabilities to its channel partner community with subscription pricing for MSPs and enablement programs to drive adoption and scale.
“CA Technologies is committed to supporting Citrix to help ensure a successful deployment of Citrix XenDesktop 7,” said Mike Sargent, GM, Service Assurance, CA Technologies. “Citrix XenDesktop 7 unifies virtual applications and desktops and we expect that, combined with the new features and functionality in our latest version of CA Infrastructure Management, Citrix XenDesktop 7 will deliver exactly what customers are looking for to help solve their requirements in terms of mobility, simplicity and security.”
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 ...