Harder, better, faster, stronger: depending on your age, these words will probably get Daft Punk or Kanye West stuck in your head. This mantra can apply to web app testing as well: the better and faster your test scripts run, the faster you can fix bugs, release better code, and deliver a stronger web app to make customers happy.
We are excited to announce our collaboration with LambdaTest, a leading cross-browser testing platform. You can now perform mobile app testing on LambdaTest’s real device cloud as part of your Codemagic CI/CD workflow.
It’s hard to imagine developing apps for iOS without a Mac computer. There is no sign of this changing any time soon, but there are still ways to build the app for iOS and release it to the App Store even if you don’t have a Mac. With Flutter and Codemagic, you can build and distribute iOS apps without buying a Mac computer yourself.
One of the most important factors when choosing a finance app is user experience. We reveal five important UX processes that fintech apps use to remain competitive and why traditional banks should adopt these methods to minimize the loss of valuable customers.
Data marts are miniature, specialized data warehouses.
Deno is a JavaScript and TypeScript runtime similar to Node.js, built on Rust and the V8 JavaScript engine. It was created by Ryan Dahl, the original inventor of Node.js, to counter mistakes he made when he originally designed and released Node.js back in 2009. Ryan's regrets about Node.js are well documented in his famous'10 Things I Regret About Node.js' talk at JSConf EU in 2018.
API security starts with authentication and authorization, then data security and availability. In this post, I will review security considerations for an API gateway and how the capabilities of the Kong Gateway address them. First, let’s review different aspects of API security in detail.
Are you storing your data in BigQuery and interested in using that data to train and deploy models? Or maybe you’re already building ML workflows in Vertex AI, but looking to do more complex analysis of your model’s predictions? In this post, we’ll show you five integrations between Vertex AI and BigQuery, so you can store and ingest your data; build, train and deploy your ML models; and manage models at scale with built-in MLOps, all within one platform. Let’s get started!