Kerno is a lightweight runtime intelligence engine that creates a tight feedback loop between live systems, developers, and their AI code agents using eBPF technology to gather rich runtime signals directly from the kernel with zero code changes.
https://www.kerno.io/?ref=producthunt
Kerno

Product Information

Updated:Jun 19, 2025

Kerno Monthly Traffic Trends

Kerno received 29.8k visits last month, demonstrating a Moderate Growth of 41.2%. Based on our analysis, this trend aligns with typical market dynamics in the AI tools sector.
View history traffic

What is Kerno

Kerno is an Agentic Native Observability platform that combines eBPF and application graphRAG technology to help engineering and ops teams monitor and troubleshoot distributed cloud-native applications. It's designed specifically for AI-native teams, providing developers with real-time production context and insights directly within their development environment. The platform integrates seamlessly with major cloud platforms like AWS EKS, Azure AKS, Google GKE, and Kubernetes clusters, offering a comprehensive solution for modern application monitoring and debugging.

Key Features of Kerno

Kerno is a lightweight runtime intelligence engine that helps developers monitor and troubleshoot their services by providing real-time production context directly in their IDE. It uses eBPF technology to gather runtime signals from the kernel without requiring code changes or manual instrumentation, while integrating with AI code agents to help developers ship faster and fix issues before they escalate. The platform offers comprehensive visibility across different programming languages and protocols, stores sensitive data securely in the user's cloud, and seamlessly integrates with existing observability and development tools.
Zero-Configuration Monitoring: Uses eBPF to automatically collect runtime data without requiring code changes, SDK integration, or manual instrumentation
IDE Integration: Provides real-time performance metrics, hotspots, and dependencies directly within developers' preferred IDE environment
AI Code Agent Integration: Feeds continuous production context to AI code agents to ensure generated code is optimized for the actual runtime environment
Graph-Based Runtime Context: Maps runtime environments by linking systems, code, and teams to deliver context-rich insights across production and pre-production environments

Use Cases of Kerno

Early Issue Detection: Helps teams identify and fix performance bottlenecks, exceptions, and API drift before they become major problems
AI-Assisted Development: Enables AI code agents to generate more accurate and production-ready code by providing them with real runtime context
Cross-Team Collaboration: Allows developers and ops teams to share runtime insights and collaborate on issue resolution through integrated tooling

Pros

No code changes or manual instrumentation required
Language-agnostic monitoring capability
Secure data storage within user's own cloud infrastructure

Cons

Features feel somewhat basic according to some feedback
Limited to Linux-based environments due to eBPF dependency

How to Use Kerno

Sign up for Kerno: Go to app.kerno.io and sign up using your email address. Create an organization when prompted during the onboarding process.
Install Kerno Agent: Install the Kerno agent on your Kubernetes cluster using Helm with the command: helm install kerno-agent kerno/agent --create-namespace --namespace kerno --set api-key=[your API key]
Install IDE Extension: Install the Kerno IDE extension in your preferred IDE (supports VS Code, Cursor, Windsurfer, IntelliJ) to get runtime context directly in your development environment
Configure Integrations: Set up optional integrations with Jira/Linear for issue tracking and Slack for notifications by connecting them through the Kerno Studio interface
Access Kerno Studio: Use Kerno Studio web interface to visually explore your system, collaborate on issues, configure alerts, and manage your workspace
Monitor Runtime Data: View performance metrics, hotspots, and dependencies for APIs, functions, DB queries, and endpoints through the IDE extension or Studio interface
Review Issues: Check for exceptions, slow queries, API drift and performance bottlenecks that Kerno automatically detects and surfaces in your IDE
Leverage AI Integration: Use Kerno with AI code agents (GitHub Copilot, Cursor, Claude, OpenAI) to get production-aware code suggestions and improvements

Kerno FAQs

Kerno is a runtime intelligence engine that helps developers monitor and troubleshoot their services. It provides real-time production context to developers and AI agents without requiring complex rollouts, custom infrastructure, or extensive instrumentation.

Analytics of Kerno Website

Kerno Traffic & Rankings
29.8K
Monthly Visits
#988162
Global Rank
#664
Category Rank
Traffic Trends: Mar 2025-May 2025
Kerno User Insights
00:00:14
Avg. Visit Duration
1.59
Pages Per Visit
42.9%
User Bounce Rate
Top Regions of Kerno
  1. US: 26.13%

  2. RU: 9.99%

  3. IN: 9.43%

  4. CA: 6.72%

  5. GB: 6.28%

  6. Others: 41.44%

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