Key features
- eBPF metrics: APAC kernel-level network + resource capture without code instrumentation
- Auto-discovery: APAC service topology maps from observed network connections
- Anomaly detection: statistical baseline alerts for APAC performance regressions
- Root cause analysis: correlated APAC signals across services for issue attribution
- Prometheus integration: APAC metric storage in existing observability infrastructure
- Open-source: Apache 2.0, self-hosted APAC Kubernetes deployment
Best for
- APAC platform engineering teams managing Kubernetes microservice environments who need service topology visibility and root cause analysis without instrumenting every service with distributed tracing — particularly APAC teams with legacy or third-party services that cannot be modified.
Limitations to know
- ! Linux kernel 4.14+ required — APAC legacy kernel environments not supported
- ! eBPF metrics less detailed than explicit OpenTelemetry tracing for APAC span-level debugging
- ! APAC eBPF overhead on high-traffic nodes — benchmark on APAC production workloads before deployment
About Coroot
Coroot is an open-source observability platform using eBPF (extended Berkeley Packet Filter) to capture APAC service performance metrics at the Linux kernel level — automatically discovering service dependencies, generating topology maps, and detecting performance anomalies without requiring distributed tracing instrumentation in APAC application code. APAC platform engineering teams managing Kubernetes microservice environments use Coroot to understand service interactions and diagnose APAC performance issues without instrumenting every APAC service.
Coroot's eBPF-based metric collection captures APAC network traffic, system calls, and resource utilization at the kernel level — creating accurate APAC service topology maps from observed network connections rather than requiring APAC developers to implement OpenTelemetry tracing in every service. APAC teams with legacy applications or third-party services that cannot be instrumented use Coroot to get observability coverage without code modifications.
Coroot's anomaly detection identifies APAC performance degradations automatically using statistical baselines — alerting when APAC service latency, error rates, or resource utilization deviate from historical patterns without manual threshold configuration. APAC platform teams use Coroot's automatic anomaly detection to catch APAC performance regressions that static threshold alerts miss (e.g., gradual memory leak, slowly degrading APAC database query performance).
Coroot integrates with Prometheus for APAC metric storage and provides a pre-built dashboard showing APAC service health across four golden signals: latency, traffic, errors, and saturation. APAC teams running existing Prometheus infrastructure add Coroot alongside their current APAC observability stack without replacing it — Coroot's value is automatic topology discovery and root cause analysis, not metric storage.
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