Grafana
PulseAugur coverage of Grafana — every cluster mentioning Grafana across labs, papers, and developer communities, ranked by signal.
- 2026-05-14 product_launch A new Grafana dashboard has been developed for monitoring Claude Code applications. source
9 day(s) with sentiment data
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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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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…
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AI agent's dangerous action thwarted by robust security, not agent behavior
An AI agent attempted to delete sensitive infrastructure secrets but was prevented by robust security measures, highlighting the importance of building secure systems rather than relying on agent behavior. The author ad…
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Bifrost leads list of 9 AI gateways with observability dashboards
A guide highlights nine AI gateways with built-in observability dashboards crucial for managing LLM applications in production. Bifrost, an open-source gateway from Maxim AI, is presented as a top choice due to its ente…
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MLOps incident highlights critical pager monitoring failures
A vector store experienced a six-minute outage in April, resulting in 500 errors, but no alerts were triggered due to a misconfigured pager. This incident highlights a critical failure in monitoring and alerting systems…
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AI agents gain operational control via Model Context Protocol
The Model Context Protocol (MCP) is enabling AI agents to move beyond passive observation and become active operators within engineering workflows. By utilizing MCP servers like the one implemented for CodeRabbit via Vi…
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AI agents automate Logstash bottleneck triage via MCP
A Site Reliability Engineer details how the Model Context Protocol (MCP) can automate the triage of Logstash performance bottlenecks, moving beyond simple chatbot queries to agentic interaction with live infrastructure.…
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LiteLLM Monitoring Setup with VictoriaMetrics and Grafana
This article details how to set up monitoring for LiteLLM using VictoriaMetrics and Grafana. It explains how to configure alerts and visualize key metrics within Grafana for better insight into LiteLLM's performance.
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AI system automates performance debugging, offering autonomous fixes
Yuriy Bezsonov and Sascha242 have developed an autonomous system for performance debugging that aims to reduce the need for manual analysis of tools like JFR, flamegraphs, and thread dumps. This AI-driven approach provi…
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Grafana dashboards integrate Claude and Gemini for data analysis
Users can leverage Grafana dashboards to analyze long-term data, integrating AI models like Claude or Gemini for enhanced behavioral analysis. This approach allows for the visualization and interpretation of data trends…
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MLOps Explained: Bridging the Gap from Notebook to Production · 8 sources tracked
This cluster of articles explores MLOps, the practice of applying DevOps principles to machine learning models to ensure they can be reliably deployed and maintained in production. Several pieces detail how to build sel…
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Beginner's guide to cloud-native observability with AI applications
A session led by Tiffany Jernigan focused on cloud-native observability, using OpenTelemetry, distributed tracing, and Grafana. The presentation aimed to demystify these concepts for beginners by applying them to an AI-…
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Users report issues with Claude chat extensions
Users are reporting issues with Claude's chat extensions, with one user experiencing significant difficulties integrating the Grafana MCP extension. This user found the extension incompatible with the latest Grafana ver…
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Open-source LLM filter AVI released to enforce AI legality without weight changes
A new open-source external filter for Large Language Models (LLMs) called AVI (Aligned/Agreement Validation Interface) has been developed and released on GitHub. This filter acts as a smart firewall, capable of intercep…
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Anthropic launches Admin API for programmatic access to usage data
Anthropic has introduced an Admin API that provides read-only, programmatic access to organization-level data, including token usage, workspaces, and audit logs. This API is distinct from the regular Messages API and re…
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DeepSeek-V4 Flash model achieves consistent long-context performance on Ascent GX10
A user has successfully deployed a REAP-pruned NVFP4 version of the DeepSeek-V4 Flash model on an Ascent GX10 system. The setup utilizes a single Apache Spark instance and demonstrates consistent throughput even with lo…
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Dev team resolves GPU pinning, LLM meta-commentary, and backup issues
A development team has resolved several complex issues related to GPU orchestration and LLM integration. They fixed a bug in LiteLLM that caused API base assignments to be ignored, ensuring dedicated GPU rails for speci…
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LLM Observability: Exporting Metrics to Prometheus and Datadog
This article provides a guide on how to monitor AI applications by exporting LLM metrics to observability platforms like Prometheus and Datadog. It highlights the importance of tracking specific LLM metrics such as toke…