Observability
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...

