Operations | Monitoring | ITSM | DevOps | Cloud

Today at ObservabilityCON 2025 in London, we unveiled a number of exciting announcements and updates to Grafana Cloud that reimagine SaaS economics, simplify the complexity of running your observability stack at scale, and provide AI tooling that’s actually useful. (Root cause analysis via chatbot? Yes, please!) Check out the keynote to learn more about how we’re helping you do more with the open observability cloud, and read on for a quick recap of all the news from ObservabilityCON 2025.

If you could run public and private cloud like they were the same place, what would that unlock for your teams? That was the core message of our Navigate London keynote, and it matters just as much to readers in Singapore or Seattle as it does to those who joined us in person. For years, the industry has made you choose. Public cloud on one track. Private cloud on another. Different APIs, different skills, different bills, and a rewrite every time you move.

Earlier this week, we gathered in San Francisco for our second SEV0—almost a year after our very first event. SEV0 has always been about shining a light on the biggest challenges (and opportunities) in incident response. Last year, we were still talking about the fundamentals: blameless culture, strong processes, and lessons from the best in reliability. This year felt different. AI has moved from background noise to front and center in every conversation, every team, everywhere.

A couple of weeks ago, our team returned from API World. We’ve officially had a few weeks to decompress and get back into the swing of things after an incredible time at API World 2025. Looking back, the experience was even more rewarding than I had imagined in my Pre-API World blog. This year was especially memorable for me, as I had the opportunity to attend my first tech conference and travel across the country for work. I’m still buzzing from everything I learned and the people I met.

AI and observability are no longer separate conversations—they’re deeply intertwined. Across keynotes, panels, and demos, speakers at Honeycomb's Observability Day San Francisco unpacked what that means for engineering teams today: faster insights, smarter tools, and new challenges to solve.

They say what happens in Vegas stays in Vegas—but this year, we couldn’t keep the latest in cybersecurity to ourselves. Though it wasn’t our first time attending Black Hat USA (we’re no strangers to the neon lights and desert heat), our anticipation was high when we landed at LAS. We couldn’t wait to get to the show, connect with security professionals, learn more about where the industry is headed, and put our own solutions to the test.

If you’re unfamiliar with AWS Summits, these are conferences that occur on a yearly basis in different cities. The events are mostly used to announce new products and technologies. This year, the theme was AI, as evidenced by the keynote, a large majority of the talks, and a walk around the vendor floor. The keynote talk was hosted by Swami Sivasubramanian, VP of Agentic AI at AWS.

When organizations first begin deploying workloads on Kubernetes, it's common for them to start with a permissive egress traffic policy that allows any workload to reach the internet. This approach can make it easier for teams to stay agile and to get services up and running in fast-moving environments. But as your Kubernetes footprint grows, it's important to minimize public internet access on a per-workload basis to improve your organization's security posture.