Systems | Development | Analytics | API | Testing

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Closing the Healthcare Gap: A Conversation With Rajesh Viswanathan

In this episode of the "Data Cloud Podcast," Todd Crosslin, Global Industry Principal Healthcare and Life Sciences at Snowflake, sits down with Rajesh Viswanathan, CTO at Inovalon. They discuss Rajesh's journey into healthcare, the complexities of the U.S. healthcare system, the role of data and AI in transforming healthcare, and Inovalon's strategies to improve patient outcomes and healthcare economics.

S1.E21: Automated atomic testing | QA Therapy Podcast

In this episode, we're joined by Nikolay Advolodkin, our guest QA Therapist, to help us address symptoms like automated tests dragging on and plagued by instability, resulting in flaky executions. Did you know that with Xray, you can seamlessly adopt the atomic testing approach? By linking these tests to requirements and bringing visibility to the entire team, Xray empowers you to ensure alignment between tests and requirements while enhancing collaboration and transparency.

React Native Libraries: The ones you should know about in 2024!

Today, there are approximately 7 million people who say they wouldn’t be able to survive without their gadgets. Because of this, businesses must modify their websites and applications to cater to their client’s expectations. Emerging patterns prompt businesses to consider creating iOS and Android mobile apps with the top framework libraries that may greatly streamline and accelerate the development process.

Empower Your Testing Team With a QA Academy

Some of the responsibilities of a team leader is to empower your team with the necessary tools and skill sets so that they can excel at what they do. According to the State of Quality Report 2024, some of the most prominent challenges QA teams face include a lack of time to ensure quality, difficulty in applying test automation, and frequent changes in requirements. Training and education is the key to overcoming such obstacles.

Build and Manage ML Features for Production-Grade Pipelines with Snowflake Feature Store

When scaling data science and ML workloads, organizations frequently encounter challenges in building large, robust production ML pipelines. Common issues include redundant efforts between development and production teams, as well as inconsistencies between the features used in training and those in the serving stack, which can lead to decreased performance. Many teams turn to feature stores to create a centralized repository that maintains a consistent and up-to-date set of ML features.

How to Ensure API Quality with API Testing Using Postman in 2024

Whether you’re a Software Developer, DevOps Engineer, or Quality Assurance (QA) specialist, mastering API testing with tools like Postman is essential, especially during development. API testing using Postman makes it possible to increase security, provide better user experiences, and minimize the possibility of losses through bugs or vulnerabilities.

What's New in Ruby on Rails 8

The first Rails 8 beta has officially been released, bringing an exciting set of features, bug fixes, and improvements. This version builds on the foundation of Rails 7.2, while introducing new features and optimizations to make Rails development even more productive and enjoyable. Key highlights include an integration with Kamal 2 for hassle-free deployments, the introduction of Propshaft as the new default asset pipeline, and extensive ActiveRecord enhancements.

How Solid Queue works under the hood

Whether or not you're active in the Rails ecosystem, you might already have heard some of the buzz around Solid Queue, a new database-backed backend for ActiveJob. Solid Queue is a simple and performant option for background jobs that lets you queue large amounts of data without maintaining extra dependencies like Redis. We've already talked about how to deploy, run, and monitor Solid Queue, but we haven't yet explored how Solid Queue works.