Operations | Monitoring | ITSM | DevOps | Cloud

We launched agent monitoring earlier this year, allowing our users to instrument LLM usage and tool calls in their applications. However, we only had Agent Monitoring support for Python and JavaScript. We’ve been working on creating an Agent Monitoring SDK for.NET — specifically for Microsoft.Extensions.AI.Abstractions.

We’ve introduced a new type of Performance Issues, Web Vitals Performance Issues. These issues will be opened for the highest opportunity pages in your application if your Web Vitals metrics drop into our meh, or poor thresholds for performance. We’ve built these issues with Seer Issue Fix specifically in mind. Our goal is to not just alert you about low vitals scores, we want to give you actionable steps you can take to improve your scores and, when possible, fix the problem for you.

Instead of giving you yet another chatbot, we built AI straight into the parts of Sentry where teams lose time, turning your existing data into instant context — and it’s now available to all Sentry users.

When I was working at Shopify, Black Friday and Cyber Monday were our Superbowl. We initiated code-freeze weeks before to make sure merchants wouldn't have any unexpected issues during one of the most important times of the year. Sometimes, though, you need to ship updates last minute. Picture this: It's Black Friday Eve, 11:47 PM. You've just deployed a new /sale page with 50+ products at discounted prices. Marketing is about to email 500,000 subscribers. Everything tested fine with your sample data.

In e-commerce, we all know that speed = money. I know it, you know it, Amazon knows it, eBay knows it, Shopify knows it, everyone knows it. In this article we’ll see how we can improve the perceived performance of our site’s critical pages, like the Product Details page, the Cart page, the Checkout page. We’re going to use the Speculation Rules API (SRA) to prerender/prefetch them, and also explain how certain frameworks like Next.js offer their own prefetching mechanisms.