Turn Grafana Dashboards into Agentic AI-Powered Observability Intelligence
You love Grafana’s dashboards for visualizing Kubernetes application and node metrics. But when incidents happen, you’re manually jumping between dashboards, checking Kubernetes events, searching logs, and correlating timestamps to find the actual cause. NeuBird’s Hawkeye integrates seamlessly with Grafana, turning metrics from across your entire infrastructure into intelligent, actionable insights.
Hawkeye delivers the agentic incident resolution backplane that analyzes what your dashboards show, identifies what they miss, and provides comprehensive root cause analysis by correlating telemetry data with Kubernetes events, application logs, and infrastructure changes across your environment.
Why teams use Hawkeye with Grafana
See what caused the dashboard spike, across all your data sources
Hawkeye extends Grafana’s flexible visualization capabilities by adding AI-powered correlation that connects dashboard metrics with operational context beyond traditional visualization scope including Kubernetes events, deployment history, and configuration changes that require separate investigation.
Get root cause answers across all your dashboards at once
Instead of manually checking your network dashboard, then your application dashboard, then your Kubernetes dashboard, Hawkeye precisely reads the metrics data and identifies the root cause of the incident – in minutes, not hours of dashboard hopping.
Connect Grafana to platforms beyond its data sources
Your Grafana visualizes Prometheus, InfluxDB, and Loki. Hawkeye also reads data from DataDog, AWS CloudWatch, or Splunk logs. When dashboard metrics spike, you get root cause analysis that includes context from tools Grafana doesn’t connect to.
Accelerate Investigation
Use Hawkeye’s AI-powered analysis to identify root causes across multiple data sources, then use Grafana dashboards to verify fixes and monitor resolution.
How it Works
Connect Grafana to Hawkeye
Link Hawkeye to your existing Grafana setup in minutes. There’s no agent to install and no complicated configuration. Once connected, Hawkeye starts responding to alerts and correlating insights automatically.
Automatic analysis starts right away
When an alert or incident occurs, Hawkeye reads relevant metrics, traces, and logs from Grafana sources, such as Loki.
Ask questions, get answers from all your data sources
Skip the manual dashboard hopping. Ask Hawkeye questions like “What caused the CPU spike?” or “Why are error rates increasing?” It finds the cause using your Grafana data sources and related context from your entire observability stack.
Grafana + Hawkeye AI SRE Use Cases
Troubleshoot Kubernetes without bouncing between dashboards
When Grafana shows pod restarts climbing, Hawkeye checks everything around it. It looks at recent deployments, node resource limits, and configuration changes to see what triggered the issue. You get the full Kubernetes story without manually correlating dashboard metrics to cluster events.
Find root causes across multiple dashboards instantly
Your network dashboard shows latency spikes, your application dashboard shows error rates climbing, and your Kubernetes dashboard shows pod restarts. Hawkeye analyzes all three together and tells you: “Network policy change in namespace X is blocking traffic to service Y, causing pod crashes.” You get the full answer in one place, not after 30 minutes of dashboard hopping.
Gain unified observability intelligence
Extend Grafana’s visualization of Prometheus, InfluxDB, and Loki data with Hawkeye’s cross-platform correlation across DataDog, AWS CloudWatch, and Splunk. This provides unified operational intelligence that combines what Grafana dashboards display with comprehensive analysis of data sources beyond visualization scope.
Integration Help
Setup takes less than 10 minutes. Follow our step-by-step Grafana integration setup guide for configuration.
If you need assistance or want to validate your setup, contact our team. We are always available to help with secure onboarding and best practices.
Frequently Asked Questions
Grafana helps teams visualize time-series data and spot trends across their systems. It brings together telemetry from various monitoring platforms to show the health of applications, databases, and infrastructure. It’s a central hub for observability data, giving teams interactive dashboards and alerting capabilities to track system behavior in real time.
Resources
Transform your Kubernetes Monitoring with Prometheus and Grafana
Managing Kubernetes observability has become increasingly complex, with traditional tools like Grafana and Prometheus struggling to keep up. As static dashboards and manual investigations fall short, Hawkeye steps in to automate root cause analysis, uncover patterns, and deliver actionable insights—reducing alert fatigue and accelerating issue resolution.
Model Rocket’s AWS Ops Breakthrough with AI SRE Agent
Model Rocket’s lean engineering team struggled with complex AWS operations, spending hours troubleshooting incidents. By integrating Hawkeye, an AI SRE Agent, they achieved 92% faster incident resolution and improved service reliability. Now, their engineers focus on innovation while AI handles CloudOps seamlessly.
