Observability
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
Garima Bajpai | | Agentic Workflows, AIOps, co-development, multi-domain observability, Network Language Model, network operations, Selector AI, telemetry correlationModern 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
Adrian Bridgwater | | Android Development, application development, automation, Client-side Monitoring, cloud-native, CNCF, continuous delivery, cross-platform development, devops, Embrace, JVM Interoperability, KubeCon 2026, Logging API, mobile observability, observability, Telemetry data, Tracing APIOpenTelemetry 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
Nicolas Takashi | | observability, OpenTelemetry, platform engineering, schema governance, telemetry pipelinesObservability 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
Dan Roy | | alert fatigue, DevOps workflows, incident response, on-call management, Unified ObservabilityThe 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 ...
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 ...
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 ...
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 ...
