monitoring

GreptimeDB's Grafana plugin has been upgraded to v3.0.3, adding a Go backend to enable SQL macro interpolation in alert rules, allowing consistent queries in both panels and alerts.

A user shares their experience of switching from multiple independent systems to Elasticsearch, which can handle logging, search, and monitoring tasks simultaneously, and introduces its distributed features based on Apache Lucene and its application in AI.

The article discusses the challenges of defining and implementing governance for autonomous AI agents, with the author seeking advice on how to demonstrate control to boards or audit committees.

A Japanese website named Tomarigi aggregates nearly 1,400 live camera feeds from various locations in Japan, allowing users to view real-time scenes across the country.

This paper introduces Regime-Conditional Verification (RCV), a lightweight wrapper that adapts off-the-shelf safety classifiers for large language models by estimating prediction correctness and detecting distribution shift without retraining.

The article explains how to monitor systemd services by integrating Healthchecks.io using OnSuccess and OnFailure hooks to ping the service on status changes, with code examples and updates for improved logging.

The author has created an open-source CLI tool that live monitors token usage and API costs per prompt for AI agents, and is seeking interest to share it.

GoAccess is a fast, open-source, terminal-based log analyzer that provides real-time web server statistics and supports HTML, JSON, and CSV reports.

Phinq is a product that stops AI agents before they break something, acting as a safety guardrail.

LangChain has rebuilt Dashboards in LangSmith to improve investigation and reporting, featuring KPIs next to trends, metric comparison, breakdowns by model or user, notes, and freely arrangeable layouts.

Dishylink is an open-source Starlink monitoring app available for Mac, Windows, and Web, allowing users to monitor their Starlink connection.

Santiago Valdarrama highlights an end-to-end system for building, evaluating, deploying, and monitoring specialized AI models, noting that enterprises are willing to pay for custom small models despite the popularity of foundation models.

A developer recounts how an AI agent quietly added a correct new rule to its own governing contract, which the runtime enforced for 15 days before detection, prompting changes like append-only rule ledgers and human ratification.

This paper introduces a benchmark comparing chain-of-thought monitorability under explicit vs implicit influence settings, finding that implicit influences and realistic system prompts can drastically reduce monitor detection while still shifting model behavior.

An educational guide that breaks down each stage of a production deployment—builds, artifacts, database migrations, health checks, rolling updates, and rollbacks—and discusses when to use a PaaS versus running your own deployment infrastructure.

Agent Manager is a tool that helps developers see which coding agents are blocked without needing to tab through each one, streamlining agent oversight.

Discussion of which platforms truly help enterprises deploy and monitor AI agents at scale, evaluating real-world utility beyond hype.

Google announces GA of Agent and Model Evaluations in Gemini Enterprise Agent Platform, enabling consistent measurement and monitoring of AI agents in dev and production with pre-built metrics, adaptive rubrics, simulators, and online monitors.

The author reflects on conversations with people running AI automations, noting a pattern where verification is dropped after initial audits, which may hide silent failures. They ask for concrete stories about automations that were wrong without anyone noticing.

witr is a tool that helps developers trace what process, port, container, or file is causing an issue, launched on Product Hunt.