Operations | Monitoring | ITSM | DevOps | Cloud

In this article, I’ll try to guide you through some examples and definitions that aim to clarify the Web Vitals landscape from a Next.js perspective. Let’s dive in!

Today, we hope to make testing Absinthe a bit easier for you. We believe that it’s a great library for writing GraphQL applications, but if you previously haven’t done much work on an Absinthe application, you might find some things a bit tricky to test.

Last week, we had an issue with one of our Kafka brokers. Don’t worry, it didn’t impact any customers. When monitoring things closely, you can often solve things before they impact a customer ;-). In today’s post, I’ll show you how we use AppSignal to dogfood our own issues. I’ll go through how we monitor the non-Ruby part of our stack and how we used AppSignal to detect and resolve the issue.

Because a lot of systems are connected to the web these days (or, at least, communicate/integrate with it at some level), companies are giving more and more attention to web security. Web security usually comes to public attention when certain events reach the news, for example, security leakages, hacker activities, and/or data-stealing over big companies, some of them really large (like Google, LinkedIn, etc.).

We just released Ruby Gem 2.11. We are always making things easier to use for you, so more things work out of the box and more instrumentation and dashboarding is built without you doing any heavy lifting. This release has a big overhaul of Active Job support. The cherry on the stroopwafel cake is the automatically generated dashboard with status per queue, queue throughput and queue times. 2.11 also polishes a lot of other integrations. Let’s dive in.

We’re happy to announce a new version of AppSignal for Node.js, and support for instrumenting Apollo Server v2+. This means that we’ll save you more some time, and perform more automatic instrumentation for you.

Starting today with version 0.6.0 of the Node.js integration, instrumenting a Node.js app that uses Redis is much easier. In fact, we instrument it for you - meaning that if you use Redis in your own app, there’s no extra work for you, everything Just Works™ out of the box! 🎉

In today’s post, we’ll look at two Elixir HTTP client libraries: Mint and Finch. Finch is built on top of Mint. We’ll see the benefits offered by this abstraction layer. We’ll also talk about some of the existing HTTP client libraries in the ecosystem and discuss some of the things that make Mint and Finch different. Finally, we’ll put together a quick project that makes use of Finch to put all of our learning into action. Let’s jump right in!

In 2009 Node.js opened up a door for front-end developers to dip their toes into the world of servers without having to leave the comfort of their language. It’s almost effortless to get started with Node. You can basically copy-paste an entire HTTP server into existence and then install an ODM and you’ve got your CRUD app ready to roll! However, if we’ve learned anything from the amazing Spider-Man, it’s that with great power, comes great responsibility.

Most web apps can benefit from a background queue, often used to process error-prone or time-consuming side jobs. These background jobs can vary from sending emails, to updating caches, to performing core business logic. As any background queueing system scales the number of jobs it needs to process, the pool of workers processing those jobs needs to scale as well.