Operations | Monitoring | ITSM | DevOps | Cloud

Life is pretty good. I’ve shipped a mobile app and I’m (happily) drowning in telemetry. Battery impact, time in foreground/background per screen, crash rates, slow frames, network retries – the works. The data is brilliant; the challenge is turning signals into reliable alerts that catch real issues which are relevant to my app’s functions. So… what should I actually listen for, and where should I set the thresholds?

Everyone wants to move faster with AI, but few are truly ready for it. This is where organizations can position themselves better as AI readiness isn’t just about algorithms, it’s about whether your data, systems, and teams are prepared to support intelligent automation safely and effectively.

Recently I've been to Lisbon's Web Summit conference, a 3 day, 70,000 participants, 15 stages, 800+ speakers event. Even though there was a track called "AI Summit", all the talks were about AI and AI Agents and how the future of the web, business, economy is more and more AI, and how businesses and people should take steps to adapt as soon as possible to an online world managed and operated by Artificial Intelligence.

When we introduced Canvas in beta, our goal was to reimagine how teams explore and collaborate around their observability data without requiring manual querying. Canvas has quickly become the AI-guided workspace that helps teams transform raw telemetry into meaningful, shared understanding faster than ever before. And today, we’re thrilled to announce that Canvas is now Generally Available (GA) for all Honeycomb users.

Engineering leaders face a constant barrage of questions that pull them away from strategic work. A team lead asks about scorecard compliance. A PM wants a status update on a migration. Someone needs incident trend data for a quarterly review. Each question is reasonable. Each requires context switching, digging through dashboards, or pinging someone on your team for a report. What if you could just ask?

Introducing Kentik AI Advisor, a powerful new AI designed to deeply understand your network, reason through complex issues, and deliver clear, actionable guidance for designing, operating, and protecting your networks. By autonomously querying Kentik’s rich telemetry and tools, it explains what’s happening, why it matters, and what to do next — from troubleshooting and capacity planning to cost optimization and risk mitigation.

Building automated workflows that adapt to real-world complexity can be a challenge. As systems scale and scenarios multiply, teams often end up hardcoding endless logic branches just to handle every potential outcome. That’s why we’re introducing Datadog Agent Builder, a powerful new tool that lets you create custom AI agents that are fully hosted by Datadog.