Systems | Development | Analytics | API | Testing

Workflow Recipes provide ready-made solutions for common Workflow tasks. To make your life easier, you can find a range of different Recipes along with examples of entire Workflows.

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.

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.

Amazon Redshift is a fully managed data warehouse solution that allows you to efficiently analyze all your data using your existing business intelligence tools. While Amazon Redshift is one of the industry's top data storage solutions, many considerations need to be made before using AWS Redshift. One of the primary elements of any cloud-based storage solution is knowing how to transfer and secure data properly. Here, we will break down how to properly move data to and from the AWS Redshift platform.

Guest writer Milica Aleksic shares her tips for making the switch from web to mobile development using React Native.

Amazon Redshift, part of Amazon Web Services, is typically the final destination of many data integration projects. Data-driven companies move data from various locations to Amazon's user-friendly, high-performance cloud data warehouse so they can run that data through business intelligence (BI) tools such as Looker and Zoho. This process helps these companies gain unparalleled real-time insights into their organizational workloads so decision-makers can improve workflows.

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.

In a digitally powered economy, having access to data can help companies navigate market changes, perform customer analytics and adjust their strategy to meet demand. Unfortunately, most of the data company’s generate are unstructured and siloed across various departments in the organization. According to Forbes, 95 percent of businesses cite the need to manage unstructured data as a problem for their business.

In this article, we’ll take a deep dive into the customer churn/retention use case. This should contain everything needed to get started on the use case, and enterprising readers can also try this out for themselves in a free trial of Continual, following the customer churn example in the linked github repository.