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By Amit Rathi
Healthcare organizations are increasingly leading the charge in technology adoption, rapidly deploying advanced applications and digital tools to improve patient outcomes and operational efficiency. However, this acceleration is placing unprecedented pressure on existing IT infrastructure. Teams are being asked to support next-generation workloads, such as AI-powered diagnostics and real-time data platforms, on legacy systems, often without the benefit of increased budget or headcount.
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By Virtana Insight
As digital infrastructures become more complex, businesses need an agile, unified platform that spans traditional on-premises systems to modern cloud-native environments. At Virtana, our latest feature updates across Global View, Container Observability, and Infrastructure Observability are designed to empower you to optimize every layer of your IT ecosystem.
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By Meeta Lalwani
Managing a hybrid IT environment is more complex than ever, requiring real-time visibility, automation, and intelligent cost control across cloud and on-premises infrastructure. Virtana’s latest innovations help organizations streamline operations, optimize costs, and enhance security, validating that every layer of IT—whether in the cloud or on-prem—operates at peak efficiency.
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By David McNerney
Managing containerized workloads and Windows environments requires more than just basic monitoring—it demands deep observability to prevent performance bottlenecks, optimize costs, and accelerate troubleshooting. Virtana’s latest Container Observability enhancements provide IT teams with greater control, visibility, and analytics across Kubernetes and Windows-based workloads.
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By Marc Bachmeier
Modern IT environments are complex, spanning on-premises, cloud, and hybrid infrastructures. Without deep observability at every layer, performance bottlenecks, inefficiencies, and troubleshooting challenges can drain resources and impact business outcomes. Virtana’s latest Infrastructure Observability enhancements are designed to eliminate blind spots, automate performance tuning, and simplify IT operations.
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By David McNerney
In today’s rapidly evolving technological landscape, observability has become essential for supporting robust, efficient systems. According to Gartner’s report “Preparing for the Future of Observability” from September 2024, OpenTelemetry (OTEL) is emerging as the standard framework for collecting telemetry data across different application pipelines.
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By Meeta Lalwani
Every CIO’s ultimate goal is to create a self-healing enterprise. Self-healing IT systems have the ability to proactively prevent issues within the IT environment, ensuring seamless and uninterrupted services that support business continuity. While automating every possible task seems like an obvious solution, implementing changes in a production environment can be challenging.
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By Virtana Insight
Research and analysis by Gartner¹ carries significant weight in the technology industry, serving as a trusted source of insights for IT decision-makers worldwide. Their rigorous evaluation processes and comprehensive market analysis help organizations make informed technology investments. When a company is featured across multiple Gartner research publications, it demonstrates market relevance and solution maturity.
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By Virtana Insight
In today’s digital economy, infrastructure has evolved from your organization’s technical foundation to a strategic asset that can make or break your business outcomes. Yet, as companies embrace hybrid environments, many find themselves struggling with a critical challenge: how to maintain control and visibility across increasingly complex infrastructure landscapes and AI workloads.
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By Meeta Lalwani
As organizations increasingly rely on complex and ephemeral infrastructure to drive business outcomes, the need for faster, more accurate, and automated IT operations has never been greater. Enter AIOps (Artificial Intelligence for IT Operations), a transformative approach that leverages AI and machine learning to automate and enhance IT operations management. These new learning systems can analyze massive amounts of network and machine data to find patterns not always identified by human operators.
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By Virtana
Most “application issues” don’t start in the code. They start somewhere deeper in the delivery system. If you can’t see beyond the trace, you’re only seeing half the story.
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By Virtana
Autonomous operations has been the goal for years. But most “automation” never got us there—it just helped teams keep up. Now that’s changing. Agentic AI introduces a fundamentally different model:– Purpose-built agents, not static workflows– Real-time decisioning, not predefined rules– Collaboration across agents, not isolated tasks Instead of automating steps, agentic AI enables systems to **reason, adapt, and act**—at a speed and scale humans simply can’t match. That’s what turns autonomous operations from a long-standing ambition into something actually achievable.
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By Virtana
We’ve spent the last decade collecting more telemetry. Now AI is analyzing it. Here’s the catch: AI needs the full dependency chain to reason correctly. If it sees spans but not storage contention… Services but not Kubernetes scheduling… Frontend metrics but not downstream providers… It will confidently optimize the wrong thing. AI doesn’t lower the need for observability. It raises the standard.
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By Virtana
Application Observability, Built for Hybrid Reality Modern applications don’t live in one place. A single transaction might span: Traditional APM shows you the trace. But hybrid reality doesn’t stop at the service layer. True application observability ties transactions to the infrastructure that actually delivered them across cloud, on-prem, and everything in between. Because in hybrid environments, the root cause rarely lives in just one tier.
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By Virtana
Breaking down silos, unifying teams, and seeing problems before they impact performance—Virtana Application Observability empowers both application and infrastructure teams to collaborate smarter and act faster. This is the future of full-stack visibility.
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By Virtana
War rooms don’t fix fragmentation. They expose it. Incident hits. App checks traces. Infra checks hosts. Cloud checks dashboards. Network checks packets. Everyone sees their layer. No one sees the system. So we guess. Rollback. Add capacity. Freeze change. The noise stops. The constraint doesn’t. Modern failures don’t live in tools. They live in dependencies. If your platform can’t follow a transaction across hybrid and AI infrastructure — to the exact constraint — you don’t have observability.
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By Virtana
Millions of metrics. Zero clarity. That’s the reality many IT teams are facing today. As environments grow more complex, telemetry explodes. Millions of records generated every hour. Dozens of specialized tools for network, storage, Kubernetes, cloud, AI workloads. Each tool is good at its domain. But none of them answers the real question: Where should I focus right now? Fragmented visibility creates predictable failure modes.
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By Virtana
Speed isn’t the problem. Speed without shared visibility is. AI compressed release cycles, multiplied dependencies, and pushed accountability to teams who no longer own the full stack. The result? Faster change. Slower resolution. Higher risk. This is why MTTR is moving the wrong way...and why observability has to evolve. : Amit Rathi.
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By Virtana
Every CIO is asking the same question: Am I next? We’ve seen it across cloud providers, carriers, and global platforms—organizations with enormous scale and investment still experience public, business-impacting outages. The risk isn’t lack of effort. It’s the growing gap between AI-driven complexity and the ability to see, understand, and resolve issues fast enough to protect availability commitments.
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By Virtana
In a rapidly changing environments, it is critical that organizations find and leverage a knowledge that baselines how the infrastructure and applications typically interact. Meeting this expectation is only possible in an application centric environment that embraces a data-driven automation, anywhere and everywhere, to transform and adapt operational models. Read this whitepaper to see how organizations are moving from the typical reactionary approach to a proactive paradigm that utilizes AIOps to monitor the performance and manage IT infrastructure.
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By Virtana
Bloor has undertaken vendor research to gain an understanding of the functionality requirements for managing Hybrid Infrastructure environment and the ability of vendors to meet them. Learn how businesses rely on IT for the delivery of its customer propositions. The growth and scale of cloud computing, the agility provided using micro-services and new deployment technologies has brought forth new, digital-only business models that operate at a global level. Being able to monitor and react to performance issues with awareness of what parts of complex IT environments are being used by individual applications is a critical business requirement.
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By Virtana
Together with Actual Tech Media, we explore how organizations are increasingly relying on both on-premises and cloud-hosted systems for agile data placement. Download the ebook and learn how to eliminate slowdowns and outages, leverage standard infrastructure dashboards and visualizations, and proactively affect your business outcomes.
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Virtana delivers the industry's only real-time monitoring and AIOps platform for mission-critical IT infrastructure — from the data center to the public cloud. The VirtualWisdom®, CloudWisdom®, and WorkloadWisdom® platforms provide unprecedented visibility into the performance, health, and utilization of hybrid IT infrastructure — empowering our customers to guarantee the performance and availability of their mission-critical applications and proactively prevent application slowdowns and outages.
Virtana is the only monitoring company that provides AI-powered hybrid infrastructure management in these three key areas:
- Automating & Streamlining your IT operations: We’ll help you shed the IT silos and specialized tools that have made for fragmented, reactive IT. Get unified views across your environments, and rich analytics that speed problem resolution, simplify capacity planning, and automate workload balancing. Embrace automation at your own pace and entirely within your change governance.
- Balancing the cost, risk, and performance tradeoffs: Control cost and risk — without sacrificing performance — by making the right workload placement and infrastructure deployment decisions at the right time. Leverage deep visibility into dynamic workloads and AI-based decision engines to ensure your infrastructure services are always balanced with application needs and allocated efficiently.
- Migrating to the cloud is fraught with risk: Migrating apps from your data center to the public cloud introduces both cost and performance risk. Ensuring a smooth path to a hybrid future requires an understanding of both workload behavior and cloud cost drivers. Our industry-leading monitoring and analytics platforms ensure a simple, risk-free, and cost-optimized migration that will accelerate your IT transformation. From data center to cloud, we’ve got you covered.
AI-Powered Hybrid Infrastructure Management for Mission-Critical Workloads.