Grafana Collection

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⚔️Fighting

★★★★

“The fastest path to AI-powered full stack observability, even for lean teams.”

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💎Aqua

★★★★

“The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more. ”

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🌊Water

★★★★

“Like Prometheus, but for logs.”

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📦Normal

★★★

“DevOps Roadmap for 2026. with learning resources”

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💎Aqua

★★★

“Open source observability platform for logs, metrics, traces, frontend monitoring, pipelines and LLM observability. A sophisticated, simple and highly performant alternative to Datadog, Splunk, and Elasticsearch with 140x lower storage costs and single binary deployment.”

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🌊Water

★★★

“VictoriaMetrics: fast, cost-effective monitoring solution and time series database”

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⚡Thunder

★★★

“QuestDB is a high performance, open-source, time-series database”

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🔥Flame

★★★

“ DevOps Guide - Development to Production all configurations with basic notes to debug efficiently.”

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✨Fairy

★★★

“A self-hosted data logger for your Tesla 🚘 [main maintainer=@JakobLichterfeld]”

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📦Normal

★★★

“🚨 Collection of Prometheus alerting rules”

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⚡Thunder

★★★

“An AI-powered next-generation open source real-time observability system.”

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🌊Water

★★★

“ An open-source and enterprise-level monitoring system.”

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🔮Psychic

★★★

“An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.”

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📦Normal

★★★

“Docker hosts and containers monitoring with Prometheus, Grafana, cAdvisor, NodeExporter and AlertManager”

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🔮Psychic

★★★

“Build your own AI SRE agents. The open source toolkit for the AI era.”

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💻Normal

★★★

“如何基于K8s(Kubernetes)部署成PaaS/DevOps(一套完整的软件研发和部署平台)--教程/学习(实战代码/架构设计/大量注释/操作配图)，你将习得部署如：K8S(Kubernetes)、Dashboard、Harbor、Jenkins、本地Gitlab、Apollo框架、Promtheus、Grafana、Spinnaker等。”

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🌊Water

★★★

“Grafana Tempo is a high volume, minimal dependency distributed tracing backend.”

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🌊Water

★★★

“🔥基于go-zero(go zero) 微服务全技术栈开发最佳实践项目。Develop best practice projects based on the full technology stack of go zero (go zero) microservices.”