Projects sharing features with Goldpinger

kube-state-metrics is a Kubernetes metrics exporter that generates Prometheus-compatible metrics from the current state of cluster objects such as pods, deployments, and nodes. It operates by watching the Kubernetes API server and transforming resource snapshots into metric families, which are then exposed over an HTTP endpoint in the Prometheus text-based exposition format for direct scraping. The project distinguishes itself through horizontal scaling capabilities, distributing metric collection across multiple instances using object UID hashing to reduce per-instance memory consumption. It

Kubernetes Operational View - read-only system dashboard for multiple K8s clusters

Prometheus is a comprehensive monitoring and alerting platform designed to track infrastructure health and application performance. It functions as a time series database that ingests, indexes, and queries high-frequency numerical data points. By utilizing a pull-based model, the system periodically collects multi-dimensional metrics from monitored targets, storing them in an optimized block storage format that supports high-throughput ingestion and efficient historical analysis. The platform distinguishes itself through a specialized query engine that enables real-time analysis of performanc

Cachet is a self-hosted, open-source status page system designed to communicate service uptime, incident history, and infrastructure performance to end users. It provides a centralized dashboard for managing the operational lifecycle of system components, tracking service disruptions, and scheduling maintenance windows. The platform distinguishes itself through a comprehensive RESTful API that enables programmatic status page management and automated incident reporting. It supports deep integration with external monitoring tools, allowing for the synchronization of performance metrics and the

Visual Docker network topology explorer — single binary, zero dependencies.

High performance and high-precision multithreaded StatsD server

Open source container update monitoring — 23 registries, 20 notification triggers, audit log, OIDC auth, Prometheus metrics, and a modern dashboard.

The system statistics collection daemon. Please send Pull Requests here!

Amon is a modern server monitoring platform.

An active monitoring software to detect failures before your customers do.

This project is a containerized orchestration layer for the Elastic Stack, providing a pre-configured set of Docker Compose files to deploy Elasticsearch, Logstash, and Kibana as a unified data analysis stack. It functions as a centralized log management system for ingesting, indexing, and searching log data using a cluster of interconnected services. The deployment pattern includes an Elasticsearch cluster manager that enables scaling data nodes through replica scaling and internal discovery. It provides a web-based administration interface for monitoring cluster health and status. The syst

Cabot is a self-hosted incident management platform and monitoring alert manager. It serves as a centralized system for receiving external monitoring data, managing on-call responder rotations, and dispatching incident notifications to administrators to ensure prompt resolution of system failures. The platform provides a containerized monitoring interface and a REST API for programmatically creating and modifying monitoring data and incident reports. It coordinates the routing of critical system alerts and manages the scheduling of personnel for on-call rotations. The system includes capabil

an event / change logging/managament app

Lightweight Prometheus exporter for Docker container metrics — built for ARM64 and cgroup v2

Sysdig is a Linux system observability tool and kernel event analyzer designed for capturing and analyzing kernel-level system calls and operating system events. It functions as a system call tracer and container security monitor, providing deep visibility into the activity of machines, virtual machines, and containers. The project specializes in non-invasive container inspection, allowing for the monitoring of container activity and resource usage without modifying the container environment or adding instrumentation. It enables the recording of detailed system traces into binary files for re

Kibana is a browser-based data exploration and visualization platform designed for interacting with information stored in distributed search engines. It serves as a centralized interface for analyzing structured and unstructured data, enabling users to build custom dashboards, generate interactive charts, and map complex datasets to uncover trends and actionable insights. Beyond visualization, the platform functions as a comprehensive management console for infrastructure operations. It provides tools for configuring security policies, managing data indices, and monitoring system health. The

Logstash is a JVM-based event processor and extract, transform, load system designed for log data processing pipelines. It functions as a plugin-based data ingestor that collects, transforms, and delivers logs and event data from multiple sources to various destinations. The system utilizes a modular architecture of interchangeable input, filter, and output components to handle real-time data ingestion and enterprise log aggregation. Users can extend the pipeline's functionality by developing custom plugins to support unique data sources or specific transformation logic. The platform covers

Elasticsearch-HQ is a web-based management interface used to monitor and administer Elasticsearch clusters, indices, and nodes through a graphical dashboard. It serves as an API proxy for executing REST requests and managing cluster data and metadata. The project provides centralized multi-cluster orchestration, allowing administrators to manage several remote instances from a single interface. It includes specialized managers for index lifecycle control, snapshot repository backup management, and real-time health tracking for node performance and shard stability. The platform covers a broad

log analysis tool

Time series data visualization software

Goldilocks is a suite of tools for analyzing resource usage and managing autoscaling policies in Kubernetes. It functions as a resource optimizer and capacity planner, providing a dashboard and command line interface to analyze workload utilization patterns and suggest efficient CPU and memory requests and limits for containers. The project distinguishes itself by visualizing recommendations from the Vertical Pod Autoscaler via a web interface and providing a lifecycle manager to create and configure these autoscaler objects. It includes capabilities to aggregate resource recommendations acro

👀 A Kubernetes cluster resource sanitizer