a Futurum company

Coverage Area

Observability

The latest Observability news, analysis and insights from DevOps.com.

24Articles shown
16Contributors shown
LatestUpdates
Allagentic AIdevopsaiClaudeAI agentsartificial intelligenceCI/CD
Most recent
Blogs

Claude Platform Now Sends Agent Traces Straight to Your Observability Stack

Anthropic is making it easier to see what Claude-based agents do in production. The company has added OpenTelemetry trace export to the Claude Platform. Developers can now send traces from the Messages API, Claude Managed Agents, and the Claude SDKs to the observability tools they already use. The feature launched in public beta on October […]

Tom Smith · Oct 15, 2026
AI

New Relic Debuts Command-Line Observability Tool for Developers and AI Agents

New Relic has unveiled Ground Truth CLI, a command-line tool that enables software developers and AI agents to analyze system performance and verify whether technical issues have been resolved without needing to use dashboards. The release reflects a big shift in enterprise IT as AI agents take on more advanced troubleshooting tasks. Traditional observability dashboards […]

James Maguire · Oct 8, 2026
AI

How to Move AI SRE Agents From Demo to Production

An AI agent that works on an engineer’s laptop can feel like a breakthrough. It can read logs, query observability tools, inspect cloud resources and connect a failed deployment to a bad configuration change in minutes. For a single investigation, under close human supervision, that is real progress. It is also the easy part. The […]

Andrey Pokhilko · Oct 2, 2026
Blogs

Dynatrace Acquires Arize as AI Agents Deepen the Observability Challenge

Dynatrace announced Thursday it has agreed to acquire AI observability company Arize in a $915 million cash and stock transaction. Rick McConnell, CEO of Dynatrace, said the company expects demand for AI observability will keep growing as more AI systems move into production. He said acquiring Arize would speed up Dynatrace’s roadmap, expand its developer […]

Jaime Hampton · Aug 17, 2026
AI

What You Cannot See Will Break Your LLM App: A Practitioner Guide to Production Observability

Traditional application observability was built around a simple mental model: Your code runs, metrics come out and when something breaks, the logs tell you why. Large language models (LLMs) break that model in ways that are not obvious until you have shipped one and watched it misbehave in production. An LLM-powered application can be up, […]

Gourav Singla · Aug 13, 2026
Blogs

When AI Agents Get Production Access: The Next Big DevOps Risk

It wasn’t that long ago that AI assistants just watched from the sidelines. They could answer your questions, explain how things worked, sum up logs, and write deployment scripts. Handy, sure, but the real decisions? Still up to the engineers. That’s changing now. AI agents are stepping right into the heartbeat of operations. They can […]

Sannan Ali · Jul 2, 2026
AI

Datadog Leverages AI to Extend Observability Reach Deeper into DevOps Workflows

Datadog this week significantly extended the reach of its Bits artificial intelligence (AI) framework to enable DevOps teams to automatically discover and resolve issues based on the telemetry data collected by its observability platform. Announced at the company’s DASH 2026 conference, Datadog is now embedding an AI coding tool, dubbed Bits Code, across its entire […]

Mike Vizard · Jun 10, 2026
Blogs

Why DORA Metrics Look Different When AI Is Part of Your Development Workflow

DORA metrics have been a reliable compass for engineering teams for over a decade. Deployment frequency, lead time for changes, change failure rate, mean time to recovery, and reliability give teams a shared language for talking about delivery performance. The research behind them is solid, the benchmarks are well-established, and most engineering leaders know what […]

Sophie Lane · May 26, 2026
AI

Co-Developing an AI Native Observability Platform

Modern distributed hybrid enterprise environments are moving away from siloed monitoring toward AIOps platforms like Selector AI, which combine multi-domain data ingestion, domain-specific network language models, and co-development to enable autonomous, agentic network operations.

Garima Bajpai · May 26, 2026
API

The “Day 2” AI Problem: Why Standard API Gateways Fail at GenAI Scale

Injecting GenAI into applications is deceptively easy. Need a new chatbot backed by an LLM? Grab an OpenAI API key and you can throw together an MVP in an afternoon. This is the pattern teams have used to push AI features into apps for the last few years. The problem, as with previous tech hype […]

Matt Tanner · May 20, 2026
Blogs

Observability-Driven Continuous Testing in Cloud-Native DevOps

Observability transforms continuous testing from quality gates into reliability signals. Cloud-native teams ship faster because they know their systems better — traces reveal bottlenecks, synthetics catch regressions and security telemetry prevents breaches.

Ashwini Dave · May 15, 2026
Blogs

OpenTelemetry Gets Kotlin Multiplatform API & SDK

OpenTelemetry expands its observability reach with a native Kotlin Multiplatform API and SDK. Contributed by Embrace, this update enables vendor-neutral telemetry across JVM, iOS, and web, offering idiomatic Kotlin support and optimized performance for mobile and client-side applications.

Adrian Bridgwater · Mar 30, 2026
Blogs

The Problem’s Not Your Monitoring Tools, It’s Your Workflow

The real cost of poor observability isn’t just downtime; it’s lost trust, wasted engineering hours, and the strain of constant firefighting. But most teams are still working across fragmented monitoring tools, juggling endless alerts, dashboards, and escalation systems that barely talk to one another, which acts like chaos disguised as control. The result is alert […]

Dan Roy · Feb 3, 2026
Features

Snowflake Plans $1B Acquisition of Observe to Expand AI-Powered Observability

Snowflake has signed an agreement to acquire observability startup Observe, moving to fold AI-driven telemetry analysis directly into its AI Data Cloud as enterprises grapple with the operational complexity created by large-scale AI systems. Financial terms were not disclosed, though multiple reports estimate the transaction at roughly $1 billion, which would make it the largest […]

James Maguire · Jan 9, 2026
Blogs

Survey Sees Growing Interest in Switching Observability Platforms

A survey of 100 VP+ IT decision-makers published today finds 62% plan to increase spending on observability initiatives over the next 12 to 24 months, with only 4% planning to decrease spending. Conducted by LogicMonitor, a provider of a monitoring and observability platform, the survey also finds more than two-thirds (67%) are very likely or […]

Mike Vizard · Jan 6, 2026
Blogs

Observability: The Real Killer App

My friends, I’ve been around long enough in the world of DevOps, cybersecurity and cloud-native to see the “next big thing” fade into “just another dashboard.” But today I’m here to tell you: observability isn’t just another tool—it might very well be the killer app of our era. The Rise of Observability Remember when “monitoring” […]

Jenn Yarnold · Nov 20, 2025
AI

AlertD Emerges to Apply AI to Observing AWS Environments

AlertD this week emerged from stealth to launch a DevOps platform that leverages generative artificial intelligence (AI) to provide deeper insights into Amazon Web Services (AWS) environments by automatically generating dashboards that make it possible to more easily discover and visualize issues. Fresh off raising $3 million in initial funding, AlertD CEO Geoff Hendrey said […]

Mike Vizard · Nov 20, 2025
AI

New Relic Enhances Azure Integration with AI-Powered Observability Tools

New Relic Inc. unveiled a suite of intelligent observability integrations with Microsoft Azure on Tuesday to streamline incident response and boost developer productivity as enterprises rush to adopt artificial intelligence (AI) workflows. The company’s new AI Model Context Protocol (MCP) Server now feeds real-time observability data directly into Azure’s SRE Agent and Microsoft Foundry, eliminating […]

Jon Swartz · Nov 18, 2025
Features

Report: Full-Stack Observability Cuts Downtime Costs

The numbers are sobering, at best. A new global survey from New Relic pegs the median cost of a high-impact IT outage at $2 million per hour (that’s roughly $33,333 a minute) with a median annual hit of $76 million. That’s not just a bad week; it’s a major operational risk. And it’s landing just […]

James Maguire · Oct 7, 2025
AI

Honeycomb Adds Ability to Orchestrate Multiple AI Agents to Observability Platform

Honeycomb has added a Canvas framework for managing and orchestrating multiple artificial intelligence (AI) agents as they observe and query massive amounts of telemetry data. Morgante Pell, technical lead manager for engineering at Honeycomb, said Canvas is the latest extension to a series of Honeycomb Intelligence initiatives that, for example, provide access to an AI […]

Mike Vizard · Sep 17, 2025
AI

New Relic Adds Support for Model Context Protocol to Observability Platform

New Relic this week added support for the Model Context Protocol (MCP) to its observability platform to surface insights into artificial intelligence (AI) agents and applications. Originally developed by Anthropic, MCP is rapidly becoming a de facto application programming interface (API) for enabling interoperability between AI agents and other sources of data. New Relic has […]

Mike Vizard · Jun 13, 2025