Operations | Monitoring | ITSM | DevOps | Cloud

Imagine launching a product update at peak traffic time. Your development team pushes the changes, expecting everything to run smoothly. But instead of seamless deployment, the infrastructure buckles-delays spike, user complaints pour in, and error logs flood your screen. Sound familiar? In the world of DevOps, where agility and uptime are non-negotiable, the strength of your backend setup determines how fast-and how safely-you can move. At the heart of this digital engine lies a crucial but often underestimated component: the server. More specifically-reliable dedicated servers.

Despite algorithm shifts, Google's core trust signals continue to reward high-quality, relevant links. But outreach is slow, scaling is painful, and most marketers would rather not send 300 cold emails just to land one backlink. That's where AI steps in. Over the past 60 days, I tested a range of AI-powered link building platforms. Some promise end-to-end automation. Others assist with research, personalization, or prospecting. Each tool brings a unique strength - and yes, a few surprises.

You're sitting in your favorite coffee shop, but everything feels like you're watching it through a thick fog. Your hands don't feel like yours, and the world around you seems oddly distant or surreal. These experiences, while unsettling, are more common than you might think.

We've rolled out a new feature in Raygun Alerting that gives you more control over how you track and respond to performance regressions. Starting today, you can now use the 75th percentile (P75) as a filter option for page performance data in Real User Monitoring, such as Core Web Vitals and page load time, right alongside the default 'Average'. This option is available under the "Page/XHR performance change" condition and supports all the Web Vitals metrics we track: Let's break down why this matters, when you should use P75, and how it gives you better, faster insights into how real users are experiencing your site or app.