Generative AI for IT Telemetry: Think Outside The Dashboard

Your SRE team stares at a wall of dashboards, each one meticulously configured to track different aspects of your cloud infrastructure. Yet as alerts flood in and incidents pile up, you can’t shake the feeling that you’re seeing only fragments of the full picture. What if those dashboards — the very tools meant to provide visibility — are actually limiting your perspective?

Generative AI is revolutionizing IT Telemetry, offering a way to break free from these constraints and dramatically increasing GenAI visibility into your systems.

NeuBird’s Hawkeye leverages the creativity of GenAI to transform raw IT telemetry into a dynamic exploration tool, revealing hidden insights and correlations that dashboards simply can’t uncover — insights you wouldn’t have known to search for, and even finding solutions you didn’t know existed.

Dashboards are self-limiting

While dashboards provide a convenient overview, attempting to display crucial SRE dashboard metrics like latency, errors, traffic, and saturation (often based on principles like the Four Golden Signals or RED), they come with critical limitations:

1. Self-limiting: Dashboards cannot possibly surface the entirety of the telemetry data that is available. Even carefully chosen SRE dashboard metrics only show part of the story. They box you into the knowledge, problem definitions, and solutions deemed important by the people who designed them. Issues outside predefined parameters or thresholds are easily missed, leaving key blind spots in your monitoring.
2. SMEs needed: Dashboards often highlight surface-level metrics, like a CPU spike, but do not connect the dots, leaving you with more questions than answers. Understanding the context behind an SRE dashboard metric fluctuation requires SMEs to navigate and correlate data sources manually to uncover the underlying cause.
3. Fragmented views: Dashboards are often built by different teams each interested in solving a specific problem in their domain. Stitching together the various components becomes a daunting task.
4. Information Overload: The problem is not that there isn’t enough data but that there is too much data. Eliminating noise and presenting just what is essential to solving the problem at hand is essential.

Read more: Enhancing Kubernetes operations with Grafana and Gen AI

Hawkeye: A New Approach to IT Telemetry

Hawkeye transforms how SRE teams work with telemetry data by leveraging GenAI to create comprehensive, context-aware analysis:

• Dynamic, Contextual Analysis: Instead of predefined metrics or the potentially limited AI summaries one might envision for a “GenAI dashboard”, Hawkeye works with your entire telemetry data in real-time, understanding relationships between system components to extract relevant insights. This provides a level of GenAI visibility that adapts to the situation at hand.
• Comprehensive: Hawkeye examines all aspects of your environment — from metrics and logs to configuration changes sourced directly from your existing tools (like observability platforms including Grafana, cloud providers such as AWS and Azure, monitoring solutions like Datadog or Splunk, and ITSM systems) to source control — forming a complete picture for every investigation.
• Proactive Problem Identification: By learning your system’s normal behavior, Hawkeye spots potential issues before they become critical incidents.
• Root Cause Analysis: Hawkeye correlates information across your ecosystem to identify root causes, dramatically reducing investigation time.
• Colleague-Like Insights: Hawkeye acts like a trusted co-worker, delivering its findings in clear, natural language. It offers narrative explanations of what’s happening in your system, why it’s happening, and suggests actions you could take. This makes IT insights more accessible and collaborative, bridging the gap between team members of all expertise levels.
• Adaptive Learning: As your IT ecosystem evolves, so does Hawkeye. Its GenAI continuously learns from your environment, to become more accurate and insightful over time. This means it can adapt to your current infrastructure, rather than relying on static dashboard configurations tied to specific SRE dashboard metrics.

Read more: Learn how Hawkeye works

The Impact

Early adopters of Hawkeye have seen transformative results:

• Dramatic MTTR Reduction: Issues that once took hours to diagnose now resolve in minutes
• Scalable Incident Response: While human engineers can only handle a few incidents at once, Hawkeye analyzes hundreds of incidents in parallel
• Enhanced Team Focus: Engineers spend less time on routine investigations and more time on strategic initiatives
• Proactive issue detection prevents minor problems from becoming major incidents

A New Direction for IT Operations

As production environments grow increasingly complex, traditional approaches to monitoring and troubleshooting no longer suffice. Hawkeye represents a fundamental shift from passive monitoring through the fixed lens of dashboards to active, AI-driven analysis — transforming how SRE teams understand and manage their infrastructure.

With Hawkeye working alongside your team, engineers can focus on driving innovation and architectural improvements, while maintaining exceptional reliability through AI-powered insights.

If you’re interested in exploring how Hawkeye can be a valuable SRE team member, get in touch with us and hire Hawkeye!