Operations | Monitoring | ITSM | DevOps | Cloud

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

From event correlation to autonomous IT: Why observability isn't enough anymore

Most IT war rooms have plenty of data, but not enough time or clarity to find the real answer. Dashboards are crowded, alerts keep piling up, and the real issue gets lost in all the noise. Ever dealt with this situation? You’re not alone, and there’s a simpler way to deal with it. OpManager Nexus closes this gap by moving beyond visibility to help teams actually diagnose and fix problems faster.

Datadog Data Observability: Be the first to know when data fails

Bad data doesn't announce itself. Datadog Data Observability gives you unified visibility across your entire data stack—from source systems and pipelines to dashboards and AI applications—so you catch silent failures before they cascade. Detect data quality and pipeline issues before stakeholders do, pinpoint root causes with end-to-end lineage, and reduce pipeline costs with job, cluster, and query recommendations.

What's New in InfluxDB 3.10: Performance Beta Expanded with New Enterprise Features

In our last release, we introduced a beta of performance updates designed for heavier, more complex time series workloads. InfluxDB 3.10 expands that beta to include enterprise features that give teams more control as they scale and manage larger workloads in InfluxDB 3. This release adds end-to-end backup and restore, row-level deletes, bulk import from Parquet, user management, and an RBAC preview to the previous performance beta.

When Local Blocks Go Global: The India-Telegram BGP Incident

Yesterday’s leak of a BGP hijack intended to block Telegram in India is the latest routing mishap best described as intentional, but also accidental — a pattern dating back to Pakistan Telecom’s infamous hijack of YouTube in 2008, in which a domestic block escaped containment and disrupted the service worldwide.

Scout MCP Server: Example Prompts, Use Cases, and What's New

The Scout MCP server connects your AI assistant directly to your Scout Monitoring data. Instead of switching between your editor, Scout, and a chat window, your assistant can pull traces, errors, N+1 insights, and endpoint metrics on its own and use that context to suggest or make fixes right in your codebase. This covers how to connect it, what to ask it, how other teams are using it, and what we shipped recently.

Why AI observability is a critical ITOps priority

AI Observability is a Critical Priority for ITOps Teams See how LogicMonitor helps ITOps teams monitor AI workloads, reduce blind spots, and move toward Autonomous IT. Schedule a meeting AI has shifted from experimental pilots to everyday business operations. Customers are interacting with AI-powered applications. Engineering teams are building with LLMs, GPUs, APIs, and automation at a much faster pace. That adds to the visibility strain on already overburdened ITOps teams.

Reduce Alert Fatigue with Composite Alerting in Hosted Graphite | Tutorial

Tired of noisy alerts waking you up for issues that are not actually impacting your services? In this tutorial, we walk through MetricFire's Composite Alerting capabilities and show how to combine multiple metric conditions into a single high-confidence alert using AND / OR logic. Learn how to: Reduce alert fatigue and false positives Create service level alerts in Graphite Combine CPU, latency, and database metrics into meaningful alerts Use conditional logic to improve signal quality Build smarter observability workflows with Hosted Graphite.

9 Powerful Log Monitoring Best Practices to Follow in 2026

How many of your last five incidents were already sitting in the logs before anyone noticed? Most teams already collect more than enough log data. The problem starts with what happens next, and the same four gaps show up almost everywhere: This guide covers the log monitoring best practices that close those gaps. It walks through how to collect, structure, correlate, retain, and secure logs, so monitoring becomes a steady process and not a scramble during the next incident.