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The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.

AI Diagnostics in Kentik NMS (Network Monitoring System)

Network problems are easy to spot. Proving root cause is the hard part — and it’s where most of MTTR gets burned. Kentik’s new AI diagnostics in the Network Monitoring System (NMS) close the gap between detection and diagnosis by bringing three capabilities directly into Kentik AI Advisor.

Get Observability in the Terminal, for You and Your Agents: gcx

The way you write code is changing, which means the way you observe your systems and respond to issues needs to change, too. Engineers today spend much of their day working via command line, as agentic tools like Cursor and Claude Code have become highly effective at handling many day-to-day engineering tasks. This greatly accelerates code generation, but it doesn't solve for the context switching that comes when you have to jump into another tool that's not part of this new, faster workflow.

OpenTelemetry VM Setup Guide: SigNoz Collection Agents Explained

About This Video: If you're working with OpenTelemetry, managing collector configurations across environments like VMs can quickly become difficult. In this video, we focus on VM-based setups and walk through how to configure SigNoz Collection Agents step by step. We start with an introduction to VM collection agents, then move into a practical project walkthrough using the OpenTelemetry demo. From there, we explore the documentation, set up configurations, run the collector, and finally validate everything inside SigNoz.

May the Logs Be With You: Graylog 7.1 Is Here

A long time ago, in a SOC far, far away…analysts were drowning in alerts, chasing context across fragmented screens, and watching real threats slip past detection gaps. Today, the Rebellion fights back. This isn’t a release built around a single marquee feature. It’s the result of our team listening to you on the front lines with an ear for removing the friction that makes your jobs harder than they need to be.

This Month in Datadog - April 2026

In the latest episode of This Month in Datadog, Jeremy shares how to run autonomous Cloud SIEM investigations, remediate vulnerabilities with auto-generated fixes, and use natural language to explore Datadog. Later, Sumedha Mehta spotlights the Datadog MCP Server, which gives AI agents real-time access to Datadog’s observability data. Then, Chetan Sharma walks through Datadog Experiments, which measures how product changes impact the user journey.

Monitor and optimize Supabase query performance with Datadog Database Monitoring

Built on Postgres, Supabase is an open source, all-in-one backend platform for developers who want to ship applications without managing infrastructure. This makes it especially popular with frontend developers and vibe coders who may have little to no database expertise. Datadog's Supabase integration provides high-level infrastructure metrics, but developers also need query-level visibility to easily diagnose, optimize, and trace performance issues back to their source.

Taming Log Noise With the OpenTelemetry Collector's Drain Processor

Do you receive 50 million log lines per day and struggle to see what actually matters? Health checks, heartbeat pings, connection pool messages—they all drown out the errors and anomalies you're trying to find. Most teams deal with this by writing filter rules to drop the noisy patterns. But those rules are manual, per-pattern, and brittle. A new deployment changes a log format and the filter misses it. A new service starts logging a chatty startup sequence nobody thought to exclude.

NVIDIA DCGM Collector: Deep GPU Monitoring for Data Center and AI Infrastructure

GPU infrastructure is expensive and increasingly central to production workloads. Whether you’re running ML training jobs, inference serving, video transcoding, or HPC workloads, understanding what your GPUs are actually doing, and what’s going wrong when performance degrades, is not optional.