cppla/ServerStatus

RedisInsight is a graphical user interface and management tool for browsing, analyzing, and administering Redis databases. It provides a visual environment for exploring key-value data structures, managing database instances, and performing data analysis across different operating systems and deployments. The tool distinguishes itself by providing dedicated visual managers for complex operations, including a vector database manager for configuring embeddings and similarity searches, a query workbench for executing raw commands and Lua scripts, and a performance monitoring dashboard for tracki

Komari is a self-hosted server monitoring system and cross-platform agent used to track system resource metrics and health across Linux, Windows, and Android servers. It provides a centralized dashboard for observing server performance and managing infrastructure privately. The project features a web-based remote terminal that utilizes bidirectional connections to execute commands and manage remote servers through a shell interface. It also includes a network connectivity monitor for measuring reachability and latency via ICMP, TCP, and HTTP requests, as well as a traffic usage tracker to mon

Falcon Plus is an infrastructure monitoring platform designed to aggregate performance metrics from distributed agents and manage infrastructure health alerts. It functions as a containerized service orchestrator and a distributed metrics aggregator, providing a centralized system for routing monitoring data and exposing health statistics via a REST observability interface. The platform features a dedicated system alert manager that evaluates incoming performance data against predefined thresholds to trigger operational alarms. It employs a data pipeline to consolidate real-time metrics from

Giropops-monitoring is an integrated observability platform designed to monitor the health and performance of containerized infrastructure. It provides a containerized suite that orchestrates the deployment of monitoring services, enabling the collection, storage, and visualization of system metrics across distributed environments. The platform utilizes a pull-based approach to scrape performance data from target nodes, storing these metrics in a specialized time-series database for long-term analysis. Users can inspect this data through interactive, web-based dashboards that render real-time