Skip to content
    Back to AIOps & Observability
    AIOps & ObservabilityStartupeBPF Monitoring

    Coroot

    Zero-instrumentation monitoring using eBPF for Kubernetes workloads

    Mkt Cap / ValOpen Source
    RevenueEarly Stage
    Zero-instrumentation monitoring via eBPF for Kubernetes eliminates deployment complexity while maintaining complete visibility.
    Analyst take · Competitive edge

    SWOT Analysis

    Strengths
    • eBPF-based; no instrumentation or sidecars; scales efficiently in Kubernetes
    • Kubernetes-native design; integrates with existing K8s observability ecosystems
    • Early-stage but focused; strong product-market fit for K8s monitoring niche
    Opportunities
    • Expand beyond Kubernetes to hybrid cloud and multi-cloud environments
    • Integrate with popular APM platforms (Jaeger, Prometheus, Grafana) for broader adoption
    • Build commercial support and managed offering for enterprises
    Weaknesses
    • Early-stage; limited production references and enterprise case studies
    • Kubernetes-only scope; not applicable to VMs, serverless, or non-K8s environments
    • Small team and community; limited integration ecosystem and third-party support
    Threats
    • Established Kubernetes monitoring vendors (Prometheus, Datadog) integrating eBPF
    • Kubernetes observability APIs and standards evolving; may reduce eBPF advantage

    User Sentiment

    Synthesized from G2, Gartner Peer Insights, and analyst review data.

    What users love
    • Zero instrumentation required; works on existing Kubernetes clusters without code changes
    • Low resource footprint; no sidecars or additional components to manage
    • Kubernetes-native design; natural fit for cloud-native teams
    Common complaints
    • Early-stage; limited documentation, community support, and production battle-testing
    • Kubernetes-only scope; not viable for heterogeneous or non-K8s infrastructure
    • Limited ecosystem and integrations with existing observability tools

    Customer Profile

    Who buys this

    Typical segments

    Kubernetes-first organizations with containerized microservicesCloud-native platforms teams evaluating lightweight monitoring

    Typical buyer

    Kubernetes platform engineer or SRE

    Top use cases
    1. 1Workload performance monitoring in Kubernetes clusters without instrumentation
    2. 2Service dependency discovery and communication analysis
    3. 3Cost-effective baseline monitoring for cloud-native applications

    Future Focus Areas

    1

    Expand to multi-cloud and hybrid infrastructure beyond Kubernetes

    2

    Build commercial support and managed platform offerings