Pain Point 2: Data Deluge: Why Legacy Tools Can’t Keep Up (and How NetAI Changes the Game)

The Data Tsunami: A New Reality for IT Operations

It is no secret that digital transformation has fundamentally changed the landscape for IT and network operations. Today’s environments generate a staggering volume, velocity, and variety of telemetry, logs, and events. From cloud-native microservices and IoT devices to sprawling hybrid networks, the data flowing through modern enterprises is growing at an exponential rate.

According to the Gartner Market Guide for AIOps (2023) and the Splunk AIOps Whitepaper (2024), this “data deluge” is overwhelming both legacy tools and the human operators who rely on them. What was once manageable with traditional monitoring platforms and manual workflows is now a flood that threatens to overwhelm even the most seasoned NOC/SOC analysts, SREs, DevOps teams, and IT operations professionals.

Who Feels This Pain?

NOC and SOC analysts are swamped by a relentless stream of alerts, many of which are false positives or lack actionable context. Site reliability engineers (SREs) struggle to maintain SLAs and uptime as the signal-to-noise ratio plummets. DevOps and IT operations teams are forced to spend more time triaging incidents and less time innovating, as data volumes outpace human capacity.

Why Legacy Tools Are Failing

Legacy monitoring and incident management tools were never built for today’s data scale. These tools rely on static thresholds, siloed data stores, and manual correlation. As a result, they buckle under the pressure of explosive data growth. For example, Statista projects global data volume to reach 181 zettabytes by 2025, which represents a 60-fold increase from just a decade ago.

Modern systems generate millions of events per minute, demanding real-time processing and analysis. Data now spans logs, metrics, traces, events, and user experience signals—often in incompatible formats and across dozens of platforms. The outcome is alert fatigue, missed incidents, and a constant game of catch-up. Human operators are forced into reactive firefighting, while critical issues slip through the cracks or take hours (or days) to resolve.

The Expected Relief: Automated, High-Fidelity Analytics

Industry research is clear that overcoming the data deluge requires a new approach. Automated, high-fidelity analytics powered by machine learning (ML) and advanced methods such as graph neural networks (GNNs) are essential. These technologies can ingest and normalize data at scale, regardless of the source, format, or rate of change. They can correlate events in real time, automatically connecting the dots across telemetry streams to surface root causes and actionable insights. Most importantly, they reduce noise and amplify signal by filtering out false positives and prioritizing what matters, freeing human operators to focus on high-value tasks.

This is not a vision for the future. It is a present-day necessity for organizations that want to stay resilient and competitive.

How NetAI Delivers on This Promise

NetAI was purpose-built to address the challenges of data deluge in modern network and IT operations. The platform stands apart in several key ways.

1. Scalable, ML/GNN-Powered Analytics Engine

NetAI leverages a proprietary, GNN-based AIOps engine designed to handle the scale and complexity of today’s data environments. Unlike legacy tools that struggle with volume and variety, NetAI ingests millions of metrics, logs, and events per minute across any vendor, platform, or environment. The platform offers elastic scalability, proven to operate beyond 25 million metrics per minute, with no single point of failure. It is also vendor-agnostic and integrates seamlessly with any device, cloud, or application.

2. Real-Time, Cross-Domain Correlation

NetAI’s platform automatically correlates telemetry across network, infrastructure, and application domains. By using advanced graph analytics, NetAI identifies causal relationships and surfaces root causes in seconds rather than hours. This results in holistic visibility, with one unified view that eliminates blind spots and manual data stitching. High-fidelity analytics ensure that only meaningful events reach your team, reducing noise and accelerating response.

3. Automated Workflows and ITSM Integration

NetAI automates incident triage, enrichment, and ticketing through deep integrations with leading ITSM platforms such as ServiceNow, Jira, and BMC Remedy. This means less time spent on manual tasks and more time driving business value. Customers report a 50 percent reduction in inbound support calls and a 72.8 percent improvement in alert-to-ticket ratios. Automated root cause identification and contextual insights enable teams to resolve incidents in seconds, resulting in faster mean time to repair (MTTR).

4. Continuous Learning and Improvement

The NetAI engine continuously retrains on new data, adapting to changes in your environment and reducing the risk of alert fatigue or missed anomalies. The roadmap includes fully interactive, self-

fixing solutions so teams can move from detection to remediation with minimal human intervention.

5. Research-Backed Differentiation

NetAI’s approach is validated by leading industry research and peer-reviewed publications. For example, ScienceDirect and Google Research highlight the advantages of graph-based models for event correlation and predictive maintenance, reinforcing NetAI’s architectural choices and customer outcomes.

The Bottom Line: Turning Data Deluge into Strategic Advantage

The explosion of telemetry, logs, and events is not going to slow down. If anything, it will accelerate as digital transformation, IoT, and cloud adoption continue. Organizations that rely on legacy tools and manual workflows will struggle to keep up, risking outages, inefficiency, and lost opportunities.

NetAI empowers NOC and SOC analysts, SREs, DevOps, and IT operations teams to shift from reactive firefighting to proactive, data-driven operations. By harnessing the power of machine learning and graph neural networks, NetAI transforms overwhelming data into real-time, actionable insights. This enables faster resolution, lower operational overhead, and a resilient, high-performing network.

If you are ready to learn more, let us connect and discuss how NetAI can help your organization turn the data deluge into a competitive advantage.