Systems | Development | Analytics | API | Testing

Key benefits of networked testing on real devices

Fast product iteration yields low time-to-market, rapid response to user needs, and faster validation of new features. However, it also leads to tight testing windows. Automating software testing may be an instinctual response to demands for speed, yet striking a balance between automated and manual testing allows for greater control over the end-user experience.

5 Ways to Improve Data Quality with Teradata

In 1979, Teradata began life as a collaboration between Caltech and Citibank. Today, this enterprise software group is all about redefining business intelligence tools and data management. The Teradata Database is now the Teradata Vantage Advanced SQL Engine, The name not only highlights the evolution of the company but also recognizes that tech consumers now expect more from their tools.

Historical Test Report Portal - How Developers Accelerate the Testing Process

Your testing team, from developers to testers, has put out a great amount of work to design test cases. Knowing that an error-free testing process simply does not exist, when it comes to the test execution, this one fails, while the rest passes. Or, is one of them is taking much longer to complete compared to previous runs? How do you determine if your tests have slowed down or increased their probability of failing? This requires context–historical logs from past sessions to be more specific.

Announcing TestOps April 2021 | New Integrations & Test Parallel Execution

Building on the promise to offer a swift testing experience to the testing community, Katalon is thrilled to announce the release of TestOps April 2021! This release adds multiple features such as integration with Pytest, Kobiton, the ability to execute Test Suites in parallel and more!

Pub/Sub Examples: 5 Use Cases to Understand the Pattern and its Benefits

In this post, we take a look at 5 pub/sub examples that will help us understand how companies and organizations across all types of industries are leveraging this architectural design pattern to solve common engineering challenges and improve their architecture.

Testing in Production: How Did We Get Here?

Testing in production simply means testing new code changes in production, with live traffic, in order to test the system’s reliability, resiliency, and stability. It helps teams solve bugs and other issues faster, as well as effectively analyze the performance of newly released changes. Its overall purpose is to expose problems that can’t be identified in non-production environments for reasons that may include not being able to mimic the concurrency, load, or user behavior.