Virtana announced the general availability of Virtana Platform, providing enterprises with comprehensive, real-time visibility and intelligent automation across their entire hybrid IT estates.
This AI-based platform enables the deepest observability in traditional IT environments, hybrid estates, and advanced AI data centers.
Virtana Platform consolidates data from Virtana's proprietary collectors, OTEL collectors, and other disparate monitoring tools into a centralized, AI-powered dashboard called Virtana Global View. By aggregating alerts, correlating events, and automating root cause analysis and incident resolution, Virtana Platform empowers IT teams to focus on strategic initiatives rather than firefighting operational issues. Virtana Platform is vendor-agnostic and can be deployed in both on-premises and cloud environments, giving organizations ultimate flexibility to manage their infrastructure in a way that aligns with their business practices.
"We understand the challenges our customers face in managing increasingly complex hybrid IT environments," said Paul Appleby, CEO of Virtana. "We built Virtana Platform with artificial intelligence at its core and designed it to help our customers overcome these challenges with the deepest possible observability, intelligent automation, and actionable insights. By empowering our customers with these cutting-edge capabilities and AI-powered insights, we're enabling them to improve performance, reduce costs, and accelerate their digital transformation initiatives. And we continue to push the envelope on what's possible with deep observability. We've heard the call from our customers for deeper insights into the intricacies of their AI infrastructure and models, and we're ready to answer that call. Stay tuned for additional exciting news."
Key capabilities of Virtana Platform include:
- Consolidated alerts dashboard with policy-based noise reduction and AI enrichment
- Comprehensive and automated topology discovery and mapping of IT architecture elements, including storage, compute, network, and data fabric
- Automated alert notification and AI-based remediation through integrations with ServiceNow, Slack, Microsoft Teams, email, and more
- Automatic and AI-powered root cause analysis (RCA) and self-healing for rapid issue resolution
- Hybrid cost and capacity management with AI-driven optimization recommendations
- Virtana Copilot, an intuitive GenAI natural language interface for querying infrastructure data
- Flexibility to both observe and deploy in on-premises, colocation, and cloud environments
Virtana Platform is available now.
The Latest
AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...
Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...
A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...
IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...
A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...
According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...
2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...
Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...
An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...
Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...