Operations | Monitoring | ITSM | DevOps | Cloud

Engineering teams spend much of their incident response time investigating the problem and coordinating the response. Both tasks become harder when telemetry data lives in one place, deployment history is stored in another, and conversations unfold across chat channels and incident bridges. Responders often spend the first part of an incident rebuilding context before they can begin testing hypotheses and working toward resolution.

At Datadog, we want our developers to become better at using AI tools with the end goal of building quality software, faster, that generates real value. This includes not only the products and features that our customers use, but also the internal tools that help keep our workflows running smoothly behind the scenes.

The World Cup may be the most-watched event in media history — so what does it look like from inside the network? We dug into ISP traffic data to reveal how Fox Sports peaks during US games, why second halves usually win, and how traffic flows shift for entire nations like Brazil and Iran when their team takes the field.

Summary: Q2 was about giving teams more leverage with less overhead. Between April and June 2026, releases across Telegraf, InfluxDB 3, and InfluxDB 3 Explorer focused on reducing manual work and putting more control directly in their hands as they scale. Telegraf Enterprise reached general availability, giving teams a centralized way to manage, monitor, and support tens of thousands of Telegraf agents.

How do we keep our Sonicwall certificates up to date as certificate lifetimes get shorter? We’re already at 200 day certs with 100 then 47 day certificates coming soon. A certificate you used to touch once every year now needs replacing up to twelve times a year. Doing this by hand is out of the question, no one has the time. Even if they did, the frequent updates is just asking for mistakes. Luckily, this can be automated using the SonicOS API.

For the last two years, enterprise AI strategy has largely focused on one thing: adoption. Organizations encouraged employees to experiment with ChatGPT, Claude, Copilot, Gemini, and dozens of emerging AI tools in the hope that productivity gains would naturally follow. CIOs approved pilots, departments launched AI task forces, and leaders pushed teams to integrate AI into everyday work as quickly as possible. But the enterprise AI conversation is beginning to change.

This blog post is part of PagerDuty’s ongoing series on how we’re helping customers navigate their journey towards autonomous operations. Read on to learn about how PagerDuty’s Rundeck/RBA 6.0 recently announced in GA builds towards this vision.