For years, we've witnessed how applications have shifted to the cloud, driven by cost savings, flexibility, on-demand access, scalability, and faster deployment times. During that time, new architectural best practices for building cloud native applications have emerged. (For more insights, refer to this whitepaper.) Yet despite these advances, it remains difficult to build cloud native applications that fully take advantage of Kubernetes, the platform of choice for most cloud deployments.

In our last post, we looked at the basics of RSpec and explored how well it works with Behavior Driven Development in Ruby. Now, we will look at specific types of RSpec tests for different parts of a Ruby on Rails application. Let's dive straight in!

Fivetran is recognized for its strength in data transformation and data quality.

API testing is a bit like putting together a puzzle. You need all the pieces to fit perfectly to see the big picture, and sometimes, you have to simulate a piece or two with mocking. Mocking in API testing lets you imitate a component or system’s behavior to test your application more efficiently. It’s like having a stunt double for your API when the real actor is unavailable. This approach can save time, reduce costs, and increase the reliability of your testing process.

Reusable UI components are user interface widgets or elements that can be used in various places in a web project. These components are typically small and created for a specific functionality. Typically, you write the code once and then import the UI components wherever needed. For example, you can create a card component that displays certain information or have a navigation bar that will appear at the top of all web pages. Such UI elements can be imported and added to your desired web page.

Earlier this year at Snowflake Summit, we announced the public launch of the Snowflake Performance Index (SPI), an aggregate index for measuring real-world improvements in Snowflake performance experienced by customers over time. In this post, we provide our biannual update to showcase the latest improvements.

In the face of Canada’s housing crisis, the University of British Columbia’s Housing Assessment Resource Tools (HART) set out to make government census data more accessible. By developing more intuitive tools and offering valuable resources, HART plays a key role in providing essential information for governments, housing developers, and the public to make informed, data-driven decisions.