Grafana
PulseAugur coverage of Grafana — every cluster mentioning Grafana across labs, papers, and developer communities, ranked by signal.
8 day(s) with sentiment data
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GPU workload monitoring for AI demands a multi-tool stack
Monitoring GPU workloads for AI requires a comprehensive stack of tools rather than a single solution. For immediate diagnostics via SSH, nvtop is recommended. However, for production AI environments, a combination of D…
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Cheap AI code reviewer fails on security bugs, advanced model excels
A comparison of two AI models, Luna and Astra, for code review revealed significant differences in their effectiveness, particularly concerning security vulnerabilities. While the cheaper model, Luna, performed comparab…
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GPT-5.6 Luna offers 75% of GPT-6 Astra's code review value at 3.6% of the cost
A comparison between GPT-5.6 Luna and GPT-6 Astra for code review found that the cheaper GPT-5.6 Luna model, costing significantly less per review, identified 75% of the verified bugs found by GPT-6 Astra. While GPT-5.6…
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Langfuse addresses observability gap for AI agents
The current observability tools like Grafana and Datadog are insufficient for the growing needs of AI agents. Langfuse aims to fill this gap by providing specialized observability solutions for AI development.
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New tool MCP RTK slashes AI token usage by 90%
A new open-source tool called MCP RTK has been developed to significantly reduce token consumption when using AI models like Claude Code with external tools. The tool acts as a proxy, filtering unnecessary data from ser…
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AI orchestrates film crews using Google Cloud and Grafana
This article details the engineering architecture behind Thirai Kuzhu AI, an autonomous system designed to orchestrate film crews in real-time. The system was built using Google Cloud ADK and Grafana, addressing challen…
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Neoclouds criticized for security flaws, OpenAI and Hugging Face compared
A report from SemiAnalysis highlights significant security vulnerabilities in most neocloud offerings, particularly concerning container escapes and kernel bypasses. The analysis contrasts the security approaches of Ope…
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AI startups can cut costs by optimizing model routing
Startups can optimize AI model usage by implementing a dynamic request-routing strategy that balances cost and performance. This involves analyzing historical data of low-cost and frontier models to establish intelligen…
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Grafana MCP integrates AI agents with observability data
Grafana MCP is a new integration that allows AI agents like Claude and Cursor to directly query Grafana instances using natural language. This tool enables AI agents to access dashboards, metrics, alerts, and logs, stre…
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Grafana surpasses $600M ARR amid AI production demand
Grafana has achieved over $600 million in annual recurring revenue, driven by increased demand for tools to support companies integrating AI into their production environments. CEO Raj Dutt highlighted this growth, attr…
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Deepgram boosts SageMaker AI observability with new metrics
Deepgram has enhanced its AI observability for self-hosted speech models deployed on Amazon SageMaker. The new features, Deepgram Enhanced Metrics and support for Prometheus and OpenTelemetry, provide greater transparen…
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Debugging LLM APIs with Prometheus and Grafana
This article details a practical approach to implementing observability for a Large Language Model (LLM) API using Prometheus and Grafana. The author outlines how to leverage metrics, logs, and anomaly detection to effe…
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MLOps Ecosystem in 2026: Key Tools and Integrations
The MLOps ecosystem is projected to evolve significantly by 2026, with a focus on integrated toolchains. Key technologies like Kubernetes and Docker will remain foundational for containerization and orchestration. Tools…
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Grafana Agent observability project for Hermes Agent released on GitHub
A developer has created an open-source project called Grafana Agent observability for Hermes Agent. This project aims to provide monitoring and visibility into the Hermes Agent system. The code is available on GitHub, a…
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Developer builds high-performance search microservice on minimal hardware
A developer details the creation of a high-performance search microservice designed to handle a catalog of one million products and over 15 million daily requests. The service, built with components like OpenSearch, Red…
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vLLM autoscaling flapping fixed by choosing better signals
This article addresses the issue of "flapping" in vLLM autoscalers, where pods rapidly cycle between running and failing states, leading to increased costs and latency. The author explains that this problem often stems …
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GenAI for DevOps course covers GPU infrastructure and LLM serving
A series of posts details a "100 Days of GenAI for DevOps" course, focusing on the infrastructure and operational aspects of running large language models. The course covers topics such as GPU utilization within Kuberne…
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Monitor LLM Costs with Prometheus & Grafana Without a Proxy
A new method allows developers to monitor Large Language Model (LLM) costs using Prometheus and Grafana without needing a proxy server. The LLMeter tool exposes a /metrics endpoint that Prometheus can scrape, enabling r…
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Grafana releases Go SDK for AI backends with React compatibility
Grafana has released an open-source Go SDK designed for building AI-powered applications. This SDK enables developers to integrate language models, stream responses, and execute tools within Go backends. It is wire-comp…
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AI cost optimization: Token budgets, routing, and prompt engineering for LLMs
Several articles discuss strategies for optimizing token consumption and reducing API costs when using large language models, particularly Anthropic's Claude. Techniques include implementing token budgets, using special…