High-performance, scalable time-series database designed for Industrial IoT (IIoT) scenarios
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SIMD-accelerated distances, dot products, matrix ops, geospatial & geometric kernels for 16 numeric types — from 6-bit floats to 64-bit complex — across x86, Arm, RISC-V, and WASM, with bindings for Python, Rust, C, C++, Swift, JS, and Go 📐
C implementation of statsd
- statsd
- stats
- statsite
- aggregated-metrics
Alaz: Advanced eBPF Agent for Kubernetes Observability – Effortlessly monitor K8s service interactions and performance metrics in your K8s environment. Gain in-depth insights with service maps, metrics, and more, while staying alert to crucial system anomalies 🐝
- ddosify
- ebpf
- kubernetes
- metrics
eBPF-based pod-level kernel metrics collector for Kubernetes
- cgroup
- daemonset
- ebpf
- helm-chart