Metoro

Metoro is a cutting-edge, AI-powered observability platform built specifically for the complexities of Kubernetes environments. It revolutionizes how development and operations teams monitor, debug, and maintain their applications by automating the entire process from data collection to remediation. By leveraging advanced eBPF (extended Berkeley Packet Filter) technology, Metoro provides deep, kernel-level insights into your entire cluster without requiring any code changes, manual instrumentation, or application restarts. This zero-instrumentation approach allows for a seamless setup in under one minute.

The platform's core is its AI engine, which operates on a continuous stream of telemetry data, including traces, metrics, logs, profiles, and Kubernetes events. This engine doesn't just alert you to problems; it autonomously detects anomalies, correlates vast amounts of data to pinpoint the exact root cause, and even integrates with your source code repositories (like GitHub) to generate pull requests with suggested code fixes. This transforms observability from a reactive, manual task into a proactive, automated workflow, significantly reducing Mean Time To Resolution (MTTR) and freeing up engineers to focus on innovation.

How to use Metoro

Getting started with Metoro is designed to be incredibly simple and fast:

1. Installation: Deploy the Metoro agent to your Kubernetes cluster with a single Helm install command. The entire process takes less than a minute.
2. Automatic Data Collection: Once installed, the eBPF-based collectors automatically start gathering comprehensive observability data (APM, logs, traces, metrics) from all your services, applications, and infrastructure without any configuration or code changes.
3. Autonomous Monitoring: Metoro's AI begins analyzing the data in real-time. It automatically generates service maps, performance dashboards (with RED metrics: Rate, Errors, Duration), and profiles for every workload.
4. Issue Detection & Root Cause Analysis: When an issue or anomaly is detected, the AI Guardian investigates by correlating telemetry data with your application's code to identify the precise root cause.
5. Automated Remediation: For identified issues, Metoro generates a pull request in your connected GitHub repository, proposing a specific code change to fix the problem.
6. Review and Merge: Your development team simply needs to review the AI-generated pull request, test it, and merge it, completing the remediation cycle with minimal manual intervention.

Core Features of Metoro

• AI-Powered Autonomous Operations: Automatically detects issues, performs root cause analysis, and raises pull requests with code fixes.
• Zero-Instrumentation with eBPF: Achieves complete end-to-end observability without any code changes, sidecars, or application restarts, ensuring minimal performance overhead.
• Comprehensive Observability Suite: Integrates APM, logs, distributed tracing, profiling, Kubernetes events, and network topology in a single, unified platform.
• Automatic Service Maps: Visualizes your entire service mesh, auto-discovering dependencies and communication patterns to help identify bottlenecks.
• Instant APM & Dashboards: Automatically generates RED (Rate, Error, Duration) metrics and performance dashboards for every service, including third-party ones.
• OpenTelemetry Compatibility: Fully compatible with the OpenTelemetry standard, allowing you to send custom spans and traces for enriched context.
• Proactive Monitoring: Provides automated cost optimization recommendations and detects infrastructure issues like OOM kills and CPU throttling.

Use Cases for Metoro

Metoro is ideal for teams managing modern, cloud-native applications:

• DevOps & SRE Teams: Proactively resolve production incidents before they impact customers, drastically reducing MTTR and alert fatigue.
• Developers: Gain instant context on bugs and performance issues, review AI-generated fixes, and accelerate the development lifecycle without becoming observability experts.
• Platform Engineering: Maintain a holistic view of complex microservice architectures, enforce standards, and provide developers with a powerful, hassle-free observability tool.
• Startups & Scale-ups: Implement enterprise-grade observability at a fraction of the cost of traditional tools like Datadog, with a predictable, usage-based pricing model.

Advantages of Metoro

Metoro offers significant advantages over conventional monitoring solutions:

• Drastic Cost Reduction: Up to 90% cheaper than Datadog and 50% cheaper than Grafana Cloud, with transparent, node-based pricing.
• Unmatched Simplicity: A single Helm chart installation provides complete visibility in minutes, eliminating the complexity of manual instrumentation.
• Actionable AI Insights: Goes beyond simple alerts by providing root causes and ready-to-merge code fixes, closing the loop between detection and resolution.
• Deep, Kernel-Level Visibility: eBPF captures 100% of traffic and system events without sampling, providing a complete picture that application-level instrumentation can miss.
• Minimal Performance Overhead: The eBPF agent has a negligible impact on application performance (typically

Pricing and Plans

Metoro offers simple, predictable pricing to suit teams of all sizes.

• Hobby Plan: FREE forever. Includes 1 Cluster, 1 User, 2 Nodes, and 200GB of data ingestion per month. Ideal for personal projects and experimentation.
• Scale Plan: $20 USD per node per month. Includes unlimited clusters and users, with 100GB of data ingestion per node per month. Data transfer over the limit is $0.20/GB. This is the standard plan for most teams.
• Enterprise Plan: Custom pricing. Designed for large organizations with specific needs, offering bulk discounts, 24/7 white-glove support, custom SLAs, and on-premises or bring-your-own-cloud deployment options.