You may have just moved your data warehouse to this amazing new solution called Snowflake. This platform is designed to allow data teams to store and use company data easily.
The future of healthcare is digital. Although, services like telehealth appointments and electronic health records have become the industry norms, providing these services alone are not enough to stay ahead of the competition. It is equally important to invest time and effort to test your medical devices for accurate diagnosis, prevention and treatment of illnesses due to the increasing complexity of software embedded in these devices. Various factors like regulatory norms, cyberattacks or software glitches can affect the functionality of medical devices, and hence, to ensure high-quality output, quality assurance has become the need of the hour.
Testing a code on real user traffic may produce insufficient data that cannot be used to make conclusions, making testing in production (TiP) seem very difficult to testers and developers. However, QA experts believe that testing in production becomes a crucial part of progressive delivery when planned and carried out effectively, focusing on software quality and release speed.
According to a new report by Juniper Research, more than 33 billion records will be stolen by cybercriminals by 2023, which is an increase of 175% from 2018. The role of effective cybersecurity testing, hence, becomes even more important than ever. It protects all categories of data like sensitive data, personally identifiable information, protected health information, personal financial information, and intellectual property from theft and damage. Cyber threats can come from any level of your organization, so it becomes a must to educate your people about some common cyber threats like social engineering scams, phishing, ransomware attacks, and other attack vectors designed to steal intellectual property or personal data.
Developing a comprehensive test strategy means never having to ask, “Where do we begin?”
It's important to understand the difference between test plan and test strategy while defining the role each plays in the software development lifecycle. While a test strategy defines your QA best practices, a test plan outlines how you will practically implement them toward getting a finished product to market.
Many organizations have adopted the CI/CD software lifecycle as part of their main software development process in the past few years for one particular reason- it helps to deliver products and application features to the end users with high velocity while maintaining the quality.
API performance testing helps to evaluate the performance of your APIs under specific conditions. With performance testing, also known as functional API testing, you can assess whether the API returns the expected output as per the given input.
