Jamstack (Javascript + APIs + Markup) is a web architecture that combines the convenience of pre-built websites with the capacity to handle custom APIs and serverless functions. By separating the frontend UI from backend databases, Jamstack allows developers to structure their application in ways that deliver dynamic content faster.
Like a bratty teenager, traditional monitoring answers your questions, but does so in a terse, unhelpful manner: Why is my page slow? Guess it’s the API call. It’s a 504 thing — you wouldn’t understand. Ok, so why is the API call slow? Ask your DB query. Gosh! You need a better conversation with your code — one which gives you contextual clues about your application’s performance.
As you could probably tell from the title, we shipped an SDK for Next.js. This means you can capture errors, measure performance, manage releases, configure suspect commits, and automatically upload sourcemaps to view unminified JavaScript and TypeScript with zero(-ish) configuration. Why was Next.js next on our list? Well, it’s one of the fastest-growing React frameworks and developers love it.
A couple of weeks back, we broke sign-ups. And in the most meta fashion, we learned about this because someone here had the foresight to set up an alert in Sentry to notify us if sign-ups dropped to zero. Getting alerted kicked off our incident response process. A team was formed to tackle “What broke?”, “How do we fix this?”, “How long has this been happening?”, “Are any other services impacted?”, and much more.
Everyone talks about creating content. But what about controlling it? In this Dogfooding Chronicle, I’ll walk you through how we updated our Content Security Policy using Discover — and how we’re keeping watch with Dashboards.
[Three hundred and eighty-one]. The number of days it’s been since our Sentry offices shut down, in what we believed at that time to be a very short-term temporary measure while we took stock of the events unfolding around us.
Auto-instrumenting AWS Lambda Monitoring didn’t originate through a focus group or business plan. It started as a hackathon project that addressed the tedium of removing manual code instrumentation. Developer environments often include hundreds of AWS Lambda functions. And our existing instrumentation required initialization code to be manually placed on every single function.
The consequences of poor application performance are both real and terrifying: lost customers, lost trust from your team, and lost confidence in your abilities. It’s why every developer remembers those moments where their solution improves both process and performance. We’ve seen this happen firsthand with our customers, and want to share their Great Moments in Application Monitoring.
In the early days of web development, there was one way to measure code: WTFs per minute. It was a metric that could be applied across all languages, as every developer knew what WTF meant (Works That Frustrate, obviously). Today, however, code is too intricate — and important — for clever, opaque metrics. You need objective data that communicates the quality and stability of your code — KPIs such as events accepted, transaction outcomes, and crash-free sessions.
Like mechanics who restore their own cars or plastic surgeons who self-rhinoplasty, our developers put their skills to interesting uses during their free time. Here, Native Platform Engineer, Arpad Borsos breaks down how memory mappings and dynamic library loading works and how it relates to native Android libraries loaded from APKs. Libraries are key to modular programming, as they offer functionality in a single unit which can be shared with other developers.
