Awesome GitHub RepositoriesMonitoring and Visualization

Grafana is an observability data platform designed to aggregate metrics, logs, and traces from diverse sources into a unified environment. It functions as a centralized interface for visualizing complex telemetry data, transforming raw streams into interactive dashboards that support real-time system health tracking and performance monitoring. The platform distinguishes itself through a plugin-based modular architecture that integrates disparate databases, cloud services, and monitoring tools via a standardized data abstraction layer. This framework allows for the dynamic loading of external

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

Lens is a multi-cluster management platform and desktop application for administering Kubernetes environments. It provides a graphical interface for deploying Helm charts, editing YAML manifests, and managing the lifecycle of pods and deployments. The project features an AI-powered cluster assistant that enables users to query cluster state, perform autonomous troubleshooting, and translate natural language requests into system commands. It also supports collaborative team access through shared spaces, utilizing encrypted cluster sharing and role-based access control to manage credentials and

Thanos is a distributed metrics query engine and monitoring scalability suite designed to provide a unified interface for aggregating data from multiple Prometheus servers and clusters. It functions as a high availability monitoring backend that eliminates single points of failure by deduplicating data from replicated instances. The system enables long-term retention by persisting time-series data to cloud-native object storage, allowing for unlimited historical archiving beyond the limits of local disks. It further optimizes this storage through a downsampling and retention manager that comp

Mizu is a suite of tools for capturing, indexing, and visualizing cloud-native network traffic and decrypted payloads for cluster-wide diagnostics. It provides Kubernetes network observability by using eBPF to index and visualize layer 4 and layer 7 traffic with full cluster context, allowing for the mapping of workload dependencies and the diagnosis of network failures. The project distinguishes itself by using kernel-level hooks to decrypt TLS traffic in plain text without requiring private keys. It further integrates a standardized context protocol to expose indexed network telemetry to AI

Metrics Server is a lightweight, single-purpose daemon that collects CPU and memory usage data from every node and pod in a Kubernetes cluster and exposes those metrics through a standard Kubernetes API endpoint. It registers as an aggregated extension API server behind the Kubernetes apiserver, making resource utilization data available to the Horizontal Pod Autoscaler and Vertical Pod Autoscaler for automatic replica count and resource request adjustments. The project distinguishes itself by operating as a focused, in-cluster resource metrics collector that polls kubelet summary endpoints a

👀 A Kubernetes cluster resource sanitizer

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

Cortex is an open-source, horizontally scalable metrics platform that ingests, stores, and queries Prometheus-compatible time-series data with multi-tenant isolation. It accepts metrics via Prometheus remote write and OpenTelemetry, executes PromQL queries against both recent and historical data, and provides a Prometheus-compatible alerting and recording rule engine with an integrated Alertmanager. The system is built as a set of independently scalable microservices that use hash-ring-based sharding, gossip-based cluster membership, and tenant-aware object storage to distribute workloads acro

Helm Dashboard is a web-based interface for managing and monitoring Helm releases in Kubernetes clusters. It provides a graphical alternative to the command line for viewing deployed releases, inspecting installed charts, and performing the full lifecycle of Helm operations including installation, upgrades, rollbacks, and uninstalls. The dashboard enables users to browse releases with filtering by namespace or name, view revision history and deployment details, and compare manifest or values differences between revisions before applying changes. It supports deploying charts from repositories,

Kiali project, observability for the Istio service mesh

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

Debugging tool for Kubernetes which tests and displays connectivity between nodes in the cluster.

A simple CLI that provides an overview of the resource requests, limits, and utilization in a Kubernetes cluster

KubeDiagrams is a Kubernetes architecture visualizer and diagram generator that transforms manifests, Helm charts, and live cluster states into visual resource maps. It serves as a resource mapper that defines visual relationships between pods, services, and custom resources using labels and annotations. The system supports the resolution of templated charts and the mapping of custom resource types to specific visual representations via external configuration. It enables the addition of manual clusters, nodes, and edges to generated visuals through declarative extensions, and can export graph

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

Kubernetes History Visualization