
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
A new study by the IBM Institute for Business Value reveals that enterprises are expected to significantly scale AI-enabled workflows, many driven by agentic AI, relying on them for improved decision making and automation. The AI Projects to Profits study revealed that respondents expect AI-enabled workflows to grow from 3% today to 25% by the end of 2025. With 70% of surveyed executives indicating that agentic AI is important to their organization's future, the research suggests that many organizations are actively encouraging experimentation ...
Respondents predict that agentic AI will play an increasingly prominent role in their interactions with technology vendors over the coming years and are positive about the benefits it will bring, according to The Race to an Agentic Future: How Agentic AI Will Transform Customer Experience, a report from Cisco ...
A new wave of tariffs, some exceeding 100%, is sending shockwaves across the technology industry. Enterprises are grappling with sudden, dramatic cost increases that threaten to disrupt carefully planned budgets, sourcing strategies, and deployment plans. For CIOs and CTOs, this isn't just an economic setback; it's a wake-up call. The era of predictable cloud pricing and stable global supply chains is over ...
As artificial intelligence (AI) adoption gains momentum, network readiness is emerging as a critical success factor. AI workloads generate unpredictable bursts of traffic, demanding high-speed connectivity that is low latency and lossless. AI adoption will require upgrades and optimizations in data center networks and wide-area networks (WANs). This is prompting enterprise IT teams to rethink, re-architect, and upgrade their data center and WANs to support AI-driven operations ...
Artificial intelligence (AI) is core to observability practices, with some 41% of respondents reporting AI adoption as a core driver of observability, according to the State of Observability for Financial Services and Insurance report from New Relic ...
Application performance monitoring (APM) is a game of catching up — building dashboards, setting thresholds, tuning alerts, and manually correlating metrics to root causes. In the early days, this straightforward model worked as applications were simpler, stacks more predictable, and telemetry was manageable. Today, the landscape has shifted, and more assertive tools are needed ...
Cloud adoption has accelerated, but backup strategies haven't always kept pace. Many organizations continue to rely on backup strategies that were either lifted directly from on-prem environments or use cloud-native tools in limited, DR-focused ways ... Eon uncovered a handful of critical gaps regarding how organizations approach cloud backup. To capture these prevailing winds, we gathered insights from 150+ IT and cloud leaders at the recent Google Cloud Next conference, which we've compiled into the 2025 State of Cloud Data Backup ...
Private clouds are no longer playing catch-up, and public clouds are no longer the default as organizations recalibrate their cloud strategies, according to the Private Cloud Outlook 2025 report from Broadcom. More than half (53%) of survey respondents say private cloud is their top priority for deploying new workloads over the next three years, while 69% are considering workload repatriation from public to private cloud, with one-third having already done so ...
As organizations chase productivity gains from generative AI, teams are overwhelmingly focused on improving delivery speed (45%) over enhancing software quality (13%), according to the Quality Transformation Report from Tricentis ...
Back in March of this year ... MongoDB's stock price took a serious tumble ... In my opinion, it reflects a deeper structural issue in enterprise software economics altogether — vendor lock-in ...