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Charity Majors, CTO and Co-founder at Honeycomb, and Phillip Carter, Principal Product Manager at Honeycomb, recently hosted a webinar with DORA's Nathen Harvey on AI's unrealized potential. As part of this, we created a 3-minute highlight reel of the webinar that you can watch.

Nearly half of users will leave if your page takes more than 3 seconds to load. Every extra second will cost you potential customers and revenue. Howard Beader goes into the stats and explains why web performance optimization is more critical than ever.

Our Chief Trust Officer, Mike Arrowsmith, shared how our new vulnerability product now includes patch sentiment, so you can assess risk before applying. Hear more in his chat with @siliconangle by seeing the full interview on our channel.

Watch Kostis and Dan share their 2 cents on how GitOps and Terraform can work together.

Build funnels directly on your traces and get instant answers to questions like: What fraction of spans made it from event A to event B? Between which spans are most requests failing? What is the latency between key spans? Traditional observability tools let you inspect traces and spans, but they can’t aggregate or analyze how requests flow across multiple services or stages in your system. In asynchronous, distributed architectures, the root span rarely tells the full story-and there’s no way to measure conversion, drop-off, or latency between arbitrary steps across all traces.

Create a status page with Checkly: https://www.checklyhq.com/docs/status-pages/

Ken Ahrens explains the easy steps to have a successful stress or load test. Using Speedscale's mock environments, you are easily able to create a safe environment to test your code. Try it today!

This video is an overview of all the check types we have on offer at Uptime.com.

Can open source survive in an AI-driven world? As AI seems to take over, there's a burning question about the future of open source contributions. Discover the unexpected role open source plays in training AI, and ponder the long-term implications. Can we keep feeding the beast, or will AI eventually stand alone?