The process of building, code signing, and publishing mobile apps can be tedious and time-consuming, especially when working in a large team and also needing to share builds with QA engineers. That’s why Codemagic offers a cloud-based CI/CD service for mobile apps that automates the whole workflow with minimal time-effort on configuration. But what if you want to use Codemagic’s features locally or in another CI/CD environment, such as GitHub Actions?

Wondering which is the best way to host your business applications and IT infrastructure? Many enterprises are transitioning from on-premises software to cloud computing. On the other hand, several established companies are investing their capital in on-premises software. Both of these deployment models have advantages and drawbacks, and you can zero in on the right option by considering your specific requirements.

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!

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.

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.

A data lake is a main storage repository that can hold vast amounts of raw, unstructured data. A data lake is not the same as a data warehouse, which maintains data in structured files. Five key takeaways about data lake tools: A data warehouse uses a hierarchical structure, whereas the architecture of a data lake is flat.

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.

How enterprise-grade data management creates better and more efficient care. In the last few years, the acceptance of telehealth has become more widespread as patients and providers found they could maintain continuity through phone and video collaboration, instead of in-person visits. In many cases, a level of care that once required a drive to the clinic or hospital could be delivered over a mobile phone or laptop, with no travel and no waiting room.

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.