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    AI Root Cause Analysis Benchmark

    Why we need an AI RCA benchmark

    • • Every AI vendor claims their solution is "the smartest" with zero proof
    • • No standardized way to validate AI effectiveness before purchase
    • • Customers can't compare tools objectively - it's all marketing
    • • Testing requires complex production environments most teams don't have

    Proposed solution

    • • Use OpenTelemetry Demo - a multi-language microservices app (Java, Python, Go, .NET, Rust, PHP, etc.)
    • • Built-in failure scenarios controlled by simple feature flags
    • • Every vendor gets identical test conditions - no excuses
    • • Provides basic telemetry (metrics, logs, traces) with freedom for vendors to add their own data sources
    • • Easy to reproduce independently during your POC process

    Benefits for everyone

    A standardized benchmark helps customers, vendors, and the entire observability ecosystem

    Vendor Comparison

    Make informed decisions by comparing different AI RCA tools on identical scenarios

    Validation

    Verify the effectiveness of your chosen AI solution before deploying to production

    Transparency

    Open methodology allows you to understand exactly how each tool performs

    Reproducibility

    All scenarios are based on open-source demos that anyone can run and verify

    OpenTelemetry Demo Overview

    The OpenTelemetry Demo is a microservices-based e-commerce application that represents a realistic distributed system with controllable failure scenarios - perfect for testing AI root cause analysis tools.

    Multi-language services

    Built in Java, Python, Go, .NET, C++, JavaScript, Kotlin, Ruby, PHP, Rust, and TypeScript

    Continuous load generation

    Realistic traffic patterns across all services

    Open source

    Anyone can run identical test environments for fair comparison

    Telemetry data

    Logs, metrics and traces

    Reproducible failures

    Feature flags activate specific failure modes consistently

    Benchmark of Coroot's AI RCA

    Coroot combines standard OpenTelemetry data with its own eBPF-based telemetry to deliver precise root cause analysis powered by AI.

    Generate an error for GetProduct requests with specific product ID: OLJCESPC7Z.

    Feature flag: productCatalogFailureView details

    Triggers manual garbage collection in the ad service to simulate GC pressure and performance impact.

    Feature flag: adManualGcView details

    Start flooding the homepage with a huge amount of requests to simulate traffic spikes.

    Feature flag: loadgeneratorFloodHomepageView details

    Simulates Redis connection failures in the cart service, causing EmptyCart operations to fail with 15+ second delays.

    Feature flag: cartFailureView details

    Introduces a memory leak in the recommendation service.

    Feature flag: recommendationServiceCacheFailureView details

    Ready to try Coroot's AI RCA?

    Experience the power of AI-driven root cause analysis in your own environment with a full enterprise trial.