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Cernan is a telemetry and logging aggregation server. It exposes multiple interfaces for ingestion and can emit to multiple aggregation sources while doing in-flight manipulation of data. Cernan has minimal CPU and memory requirements and is intended to service bursty telemetry without load…
The main features of postmates/cernan are: Data Collection Agents, Observability and Monitoring.
Projects with overlapping indexed features include: nicolargo/glances — Glances is a cross-platform system monitoring tool designed to track real-time resource usage and hardware health… google/cadvisor — cAdvisor is a container resource monitoring agent and performance analyzer that collects and exports CPU, memory,… amerkurev/doku — 💽 Doku - Docker disk usage dashboard. appdynamics/docker-monitoring-extension — Docker Monitoring Extension. arachnys/cabot — Cabot is a self-hosted incident management platform and monitoring alert manager. It serves as a centralized system… amonapp/amon — Amon is a modern server monitoring platform.
Glances is a cross-platform system monitoring tool designed to track real-time resource usage and hardware health metrics across diverse computing environments. It functions as a command-line utility that provides a unified view of system performance, identifying bottlenecks and maintaining infrastructure stability through a consistent abstraction layer that translates kernel calls into actionable data. The project distinguishes itself through its distributed capabilities, offering a web-based interface that enables remote access to live performance metrics from any device without requiring d
cAdvisor is a container resource monitoring agent and performance analyzer that collects and exports CPU, memory, network, and disk usage statistics from running containers. It functions as a telemetry tool for discovering containers across various runtimes and serves as a Prometheus-compatible metrics exporter. The agent distinguishes itself by analyzing Linux control groups to provide visibility into resource consumption and limits. It utilizes kernel perf events and NUMA statistics for low-level hardware performance tracking and diagnostics, and it can identify out-of-memory kill events th