Monitoring
Showing 36 of 439 projects
Elixir library providing PostgreSQL database performance insights like locks, index usage, cache hit ratios, and vacuum stats.
A lightweight, extensible log shipper with built-in parsing, buffering, and support for Elasticsearch and other destinations.
A Ruby gem for monitoring performance and exceptions in Ruby on Rails applications, with both local development and cloud-hosted production modes.
A Go library providing tools and strategies for centralized error handling, logging, and integration with error monitoring services.
A Prometheus middleware and metrics endpoint for Starlette applications.
Automates deploying and managing PostgreSQL clusters on Kubernetes with high availability, backups, and monitoring.
A collection of prepackaged InfluxDB configurations for quickly collecting and analyzing time series data from various sources.
Official Ruby client library for InfluxDB 1.x, providing data writing, querying, and administrative capabilities.
A FastAPI middleware that integrates pyinstrument for performance profiling, request statistics, and a built-in dashboard.
A Chef cookbook for installing and configuring MongoDB, supporting single instances, replication, sharding, and monitoring.
A self-hosted dashboard for analyzing AWS CloudTrail logs using ElasticSearch and Kibana.
An Erlang client library for the Prometheus monitoring system, providing metrics collection and exposition.
Advanced PostgreSQL and PgBouncer metrics exporter for Prometheus with declarative configuration and 600+ metrics.
A free, open-source alternative to Spark UI and Spark History Server with enhanced CPU and memory metrics visualizations.
A platform-agnostic tracing library for Elixir applications, enabling granular runtime monitoring and distributed tracing across microservices.
A unified, zero-config monitoring solution for Docker and Kubernetes that auto-discovers containers, endpoints, certificates, and more in a single container.
An NGINX-based API gateway for the Red Hat 3scale API Management Platform, offering high performance, scalability, and extensible policies.
A PHP library providing a consistent functional API to abstract various metrics collection backends and prevent vendor lock-in.
An elegant and extensive logging facility for OS X and iOS with built-in database, Telnet, and HTTP servers.
A telemetry and logging aggregation server that ingests from multiple protocols, transforms data in-flight, and emits to multiple destinations.
An error logging and handling library for ASP.NET Core and .NET Standard applications.
A collection of convenient SQL scripts for monitoring PostgreSQL database health and performance.
A script-based alerting system that queries data sources, analyzes metrics, and sends notifications via multiple channels.
The default tree-view monitor for Redux DevTools, displaying a log of actions and state changes.
A full-featured generic SNMP data collector with a web administration interface for InfluxDB.
A distributed, scalable database built for stream processing applications on Apache Kafka using SQL syntax.
A macOS menu bar app that monitors Claude AI usage quotas in real-time across all platforms.
A collection of third-party middleware and service implementations for the Fiber web framework in Go.
A collection of Python utilities for analyzing MongoDB collection statistics, index usage, and identifying redundant indexes.
A Python script that gathers Raspberry Pi or Ubuntu system health metrics and publishes them to an MQTT server for Home Assistant integration.
An Ansible role to deploy Elixir & Phoenix apps with Postgres, hot code-reloading, and monitoring.
Automatically adds OpenTelemetry trace spans to Go functions by modifying AST, eliminating manual instrumentation.
A vendor-neutral tracing facade for Java applications that abstracts over different tracing systems and reporters.
A collection of performance visualization tools for analyzing process execution, scheduler behavior, CPU tenancy, and JVM heap allocations.
AppSignal for Elixir monitors errors, performance, and servers for Elixir applications.
An application-oriented Deep Reinforcement Learning framework for real-world decision problems, covering simulation to deployment.
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