ControlTheory Adds Traces and Metrics to AI Platform for Analyzing Telemetry Data
ControlTheory today at the KubeCon + CloudNativeCon North America 2026 conference added support for metrics and traces to a platform that analyzes telemetry data at the point where it is collected. Company CEO Bob Quillin said version 2.0 of the Dstl8 platform is now able to analyze logs, traces and metrics in a way that […]
How AI SRE Agents Are Changing Observability and Incident Response
Modern systems fail in ways that dashboards were never designed to explain. A single checkout failure can trace back to a Kubernetes node under memory pressure, a slow third-party API, or a log line nobody was watching. Teams now run hundreds of services, thousands of containers and millions of telemetry events per minute. Humans can […]
Report: AI Agents Increase Observability Costs
Cisco has released its Splunk State of Observability 2026 report, revealing that companies face growing costs and operational challenges as they deploy AI agents without sufficient monitoring capabilities. The report found that 57% of organizations spend more on telemetry, the data used to monitor IT systems, than on the infrastructure being monitored. Additionally, 55% of […]
ScienceLogic Extends Observability Reach and Control Deeper into AI Agents
ScienceLogic has added additional tools and capabilities to its observability platform that provide deeper visibility and control over artificial intelligence (AI) agents that are being used to automate IT operations. The latest 2.7 update to the Skylar AI platform provides visibility into agent routing and tool selection via a catalog that uses traces to surface […]
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 […]
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 […]
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 […]
Observability 2.0: Why DevOps Teams Are Moving From Monitoring to Intelligent System Understanding
For a long time, monitoring just meant staring at dashboards and waiting for something to flash red. Engineers tracked things like CPU usage, memory, response times, error rates, and uptime. If a number crossed a certain line, you’d get an alert. Then, someone dived in to figure out what was wrong. That basic approach isn’t […]
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 […]
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, […]
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 […]
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 […]
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 […]
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.
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 […]
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.
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.
Unlocking Observability by Design With Inferred Schemas
Observability systems generate massive telemetry, but schema drift creates friction. Learn how inferred schemas and OpenTelemetry Weaver restore structure.
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 […]
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 […]
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 […]
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” […]
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 […]