Fabrix.ai Recognized in Multiple Gartner® Research
- Kelsie Papenhausen
- 3 days ago
- 3 min read
2025 Market Guide for Event Intelligence Solutions (AIOps) and Guidance Framework for Telemetry Pipelines
PLEASANTON, Calif., April 10, 2025 /PRNewswire/ -- Fabrix.ai ( formerly CloudFabrix) the inventor of Robotic Data Automation Fabric and the leader in Gigaom AIOps Radar report and Enterprise Management Associates (EMA) Radar report, today announced its recognition in two significant 2025 Gartner research publications: the "Market Guide for Event Intelligence Solutions (EIS)" and the "Guidance Framework for Deploying Centralized Log Management and Monitoring."
The 2025 Gartner Market Guide for Event Intelligence Solutions, published on March 10, 2025, highlights Fabrix.ai's Alert Noise Reduction solution as a representative vendor in the rapidly evolving EIS market.
According to Gartner's Market Guide, "Event intelligence solutions consolidate signals or events from a portfolio of monitoring tools to accelerate and automate response and resolution. They allow IT operations teams to suppress event noise through correlation and deduplication and filter out false positives."
Additionally, the company has been recognized in The 2025 Gartner's Guidance Framework for Deploying Centralized Log Management and Monitoring, published on March 3, 2025, emphasizing the critical role of telemetry pipelines' for effective log management.
Gartner's Guidance Framework emphasizes that "Centralized management requires a solution for collecting log data and routing it to appropriate storage, analysis or monitoring endpoints. Solutions for this log data management type are called telemetry pipelines"
Gartner further states, "Unify telemetry management by centralizing log collection and processing. This holistic approach supports a comprehensive view of system health, enables long-term storage for compliance at reduced costs, and facilitates AI and analytics for RCA and other use cases."
Fabrix.ai's solutions address these critical capabilities by:
Ingesting cross-domain events from multiple monitoring tools
Providing robust telemetry pipeline functionality for the collection, transformation, and routing of log data
Applying advanced AI/ML algorithms to correlate and reduce alert noise
Enabling effective data governance through standardized field names and formats
Facilitating automated root cause analysis through artificial intelligence
Optimizing storage costs with intelligent data tiering strategies
As enterprises continue to contend with increasingly complex IT environments and exponential growth in log data, Fabrix.ai remains committed to innovating solutions that simplify operations and reduce toil. The company's inclusion in multiple Gartner research publications strengthens its position as a key player in the event intelligence and telemetry pipeline solutions.
"Being recognized in multiple Gartner research publications validates our comprehensive approach to solving complex IT operations challenges," said Shailesh Manjrekar, CMO of Fabrix.ai. "Our solutions reduce alert noise and provide the telemetry pipeline capabilities essential for centralizing log management and enabling actionable insights across distributed environments."
For more information about Fabrix.ai and its solutions, visit www.fabrix.ai.
Resources:
VMBlog:CloudFabrix Rebrands as Fabrix.ai, Launches Industry's First Agentic AI Platform for ITOps Automation
Gartner, "Market Guide for Event Intelligence Solutions," Matt Crossley, Gregg Siegfried, 10 March 2025. (ID G00802859), accessible with Gartner login
Gartner, "Guidance Framework for Deploying Centralized Log Management and Monitoring,", D.B. Cummings, Dylan Roberts, 3 March 2025.(ID G00821392) accessible with Gartner login
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About Fabrix.ai
Fabrix.ai Inc. (formerly CloudFabrix Software Inc.) empowers enterprises with intelligent Data, AI, and Automation Fabric solutions to drive AI-driven automation. The company's innovative platform helps organizations streamline operations, enhance decision-making, and accelerate digital transformation through AI agents and Agentic Workflows for ITOps use cases.