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This project is a Go process supervisor designed to start and monitor multiple background programs with automatic restarts and lifecycle management. It functions as a system for coordinating daemon execution, ensuring continuous operation through a central configuration. The supervisor distinguishes itself with multiple remote administration interfaces, including a process management REST API, an XML-RPC controller, and a built-in web dashboard for monitoring and controlling processes. It features a Prometheus monitoring exporter that serves real-time performance metrics via a dedicated HTTP
This is a Prometheus Python client library used for instrumenting Python applications. It provides the tools necessary to record counters, gauges, and histograms within a process to monitor application health and expose that data as a Prometheus exposition format provider. The library enables cloud native observability by allowing developers to define custom telemetry and track internal application events. It transforms internal application data into a standardized text format required by Prometheus scrapers for collection. The project covers a variety of monitoring and observability capabil
This library is an instrumentation framework for Rust applications designed to record and expose performance metrics compatible with the Prometheus monitoring system. It provides tools for tracking custom application state and host-level system resource usage, such as CPU and memory consumption, to ensure operational visibility. The framework is built for high-throughput environments, utilizing thread-local storage and atomic operations to minimize synchronization overhead during data collection. It leverages compile-time metric definitions and static typing to eliminate dynamic lookups, ensu
Hazelcast is a distributed data platform that combines an in-memory data grid with a stream processing engine to support real-time analytics and event-driven applications. It functions as a partitioned, distributed key-value store that replicates data across cluster nodes to provide low-latency access and high availability. The platform also serves as a distributed SQL query engine, allowing users to execute standard SQL statements against both in-memory datasets and external data sources. What distinguishes Hazelcast is its use of a distributed consensus subsystem to maintain strongly consis
This is a health monitoring tool for ASP.NET Core applications designed to verify the availability of infrastructure and external dependencies. It provides a system for tracking the status of services and dependencies within an application to maintain distributed system observability.
The main features of xabaril/aspnetcore.diagnostics.healthchecks are: ASP.NET Core Health Monitoring, Health Status Dashboards, Dependency Check Plugins, Distributed Observability Systems, Health Monitoring Tools, Dependency Health Monitors, Health History Trackers, Health State History.
Projects with overlapping indexed features include: ochinchina/supervisord — This project is a Go process supervisor designed to start and monitor multiple background programs with automatic… prometheus/client_python — This is a Prometheus Python client library used for instrumenting Python applications. It provides the tools necessary… tikv/rust-prometheus — This library is an instrumentation framework for Rust applications designed to record and expose performance metrics… weaveworks/flagger — Flagger is a Kubernetes operator designed to automate the lifecycle of application deployments through progressive… hazelcast/hazelcast — Hazelcast is a distributed data platform that combines an in-memory data grid with a stream processing engine to… mightymoud/sidekick — Sidekick is a command-line tool that provisions bare VPS servers, transfers Docker images, manages secrets, and…