REST APIs are a powerful tool to bring together multiple applications. While REST APIs are extremely useful, creating and deploying them into production is a highly complex and time-consuming process. If you’re building your own REST API, you should be familiar with some of the industry best practices for naming REST API endpoints. For many developers, using a development platform is a good way to get started. It streamlines the development process and ensures you're able to get started immediately.

A robust, modern data platform is the starting point for your organization’s data and analytics vision. At first, you may use your modern data platform as a single source of truth to realize operational gains — but you can realize far greater benefits by adding additional use cases. In this blog, we offer guidance for leveraging Snowflake’s capabilities around data and AI to build apps and unlock innovation.

AI and generative Al can lead to major enterprise advancements and productivity gains. By offering new capabilities, they open up opportunities for enhancing customer engagement, content creation, virtual experts, process automation and optimization, and more.

Legacy systems have been important in the growth and success of several organizations. However, as these systems and applications age, they slow down and become increasingly costly to operate and manage. As per the U.S. Government Accountability Office, operating and maintaining legacy systems consumes over 80% of IT expenses. Organizations must scale and update these systems to accommodate their evolving business needs. This is where legacy application modernization can help.

To address quality concerns, crucial for customer satisfaction and loyalty, businesses are investing in more scalable and efficient software testing services. In fact report by Marketsandmarkets estimated the automation testing market to be worth more than USD 28 billion in 2023. This promising growth is owed to many managed testing services providers like Zymr that are helping businesses across industries to adopt Agile/DevOps, develop complex software systems, and achieve faster time-to-market.

When you run your Go programs or integration tests, numbers of raw coverage files are typically generated and dumped into a directory specified by the GOCOVERDIR environment variable. These files contain valuable data about which parts of your code were executed during tests, offering a glimpse into your code’s effectiveness and robustness. However, sifting through these raw files to extract actionable insights can be daunting and unclear for many developers.

The Health Insurance Portability and Accountability Act (HIPAA), established in 1996, keeps individual health information private. It introduced HIPAA EDI (Electronic Data Interchange) Standards to secure electronic health data sharing among healthcare providers, insurers, and related entities. Healthcare EDI sets rules for how data should be formatted when electronically exchanged to ensure secure and efficient communication and reduce manual tasks.

Instead of writing the same automation code repeatedly for the same actions, you can create keywords for those actions. When writing tests, you only need to call these keywords. This approach, known as creating a keyword-driven framework, makes test scripts more readable, maintainable, and efficient by avoiding redundancy.