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1 change: 1 addition & 0 deletions readme.md
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Expand Up @@ -329,6 +329,7 @@ If you are new to eBPF, you may want to try the links described as "introduction
- [Hubble](https://github.com/cilium/hubble) - Network, service and security observability for Kubernetes using eBPF.
- [Ingero](https://github.com/ingero-io/ingero) - eBPF-based GPU causal observability agent. Traces CUDA Runtime and Driver APIs via uprobes and host kernel events via tracepoints to build causal chains explaining GPU latency, with <2% overhead.
- [Caretta](https://github.com/groundcover-com/caretta) - Instant Kubernetes service dependency map generated by eBPF, right to a Grafana instance.
- [kpod-metrics](https://github.com/pjs7678/kpod-metrics) - eBPF-based pod-level kernel metrics collector for Kubernetes. Exports per-pod CPU, network, memory, syscall, disk I/O, and L7 protocol metrics to Prometheus. BPF programs are defined using a [Kotlin DSL](https://github.com/pjs7678/kotlin-ebpf-dsl) instead of C.
- [DeepFlow](https://github.com/deepflowio/deepflow) - Instant observability for cloud-native and AI applications based on eBPF.
- [Coroot](https://github.com/coroot/coroot) - Coroot is an open-source APM and observability tool, a DataDog and NewRelic alternative.
- [kyanos](https://github.com/hengyoush/kyanos) - Kyanos is an eBPF-based network issue analysis tool that enables you to capture network requests, such as HTTP, Redis, and MySQL requests.
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