In today’s data-driven world, businesses must deal with complex challenges related to managing, integrating, and properly using massive amounts of data housed in multiple locations. Organizations that unlock the right data architectural approach empower themselves with much better decision-making and strategic insights. Two popular approaches — data mesh and data fabric — have surfaced as prominent and innovative solutions for handling data at scale.

Flaky tests are one of the most common and frustrating issues in software testing. These are tests that pass or fail sporadically, even if the code being tested has not changed. This can cause confusion and wasted time for developers who are trying to fix issues that may not even exist.

Despite its many advantages, Node.js comes with a set of potential pitfalls if you don't maintain your application properly, such as: In this post, we'll explore these pitfalls and how to avoid them. Let's dive straight in!

There are many ways to load code and access file-related constants in Ruby. We can create a clear architecture by separating and handling concerns into classes and pulling in only the classes we depend on. Many full-stack frameworks like Rails and Hanami offer a built-in method to access the classes we want, as long as we stick with a certain convention. How does this work? In this post, we will explore three different options for loading code: using load, require, and autoload.

Gaetano DiNardi shares what many companies get wrong when they analyze website performance and traffic, and steps you can take to better know and serve your visitors.

Following the improvements to Bitrise’s Breakdown Chart, here is a quick walkthrough of how to leverage those Breakdown Chart improvements, including filtering options, exporting data, and more.

Software testing has evolved from an inconvenient ad-hoc process to an integral part of the software development lifecycle. However, while many teams have caught on to the benefits of test automation frameworks, some organizations have yet to scale up and expand their test coverage with cloud-based devices for integration tests.

If you asked anyone at your organization, there’s no question they could name at least one business process that needs streamlining—probably they could name several. That’s the hard truth for leaders looking to gain digital transformation speed in pursuit of critical business goals, like faster customer onboarding and faster time to market.

Didn’t you have the chance to listen to our podcast? Don’t worry. With this article series, you can read the highlights of each episode. In this episode, Maaret Pyhäjärvi is our QA therapist and helps us diagnose and prescribe the symptoms of exploratory testing. Maaret has several significant awards in the testing space. She has delivered hundreds of talks and is a frequent keynote speaker. She lives testing from the inside out and has contributed to the industry for years.

S3 Lake Formation with Apache Iceberg enables ACID compliance, the key to data lake governance and regulatory compliance.