Systems | Development | Analytics | API | Testing

In today’s fast-paced software development landscape, ensuring quality while maintaining agility and cost control is a challenge. In 2022, poor software quality cost the US market over $2 trillion. To tackle this, businesses are increasingly turning to QA as a Service (QAaaS)—a model that offers expert testing solutions without the overhead of an in-house QA team. The software testing approach undergoes a revolutionary change through QAaaS solutions.

Just like aeroplanes have different indicators that help the pilots determine the performance of the flight, such as an airspeed indicator, attitude indicator, altimeter, turn coordinator, heading indicator, and vertical speed indicator, businesses also need indicators that help the FP&A determine the business’s performance. These indicators are known as Key Performance Indicators (KPIs). While we already know what KPIs are, let us refresh our memory.

Everybody knows that diabetic patients need to keep track of their sugar levels, and cardiac patients need to keep track of their cholesterol levels. And both of them need to keep track of their vitals such as BP, weight, etc. What happens if cardiac patients keep track of their sugar levels and diabetic patients keep track of their cholesterol levels? They will not see any impact on the doctor’s prescription, as they are tracking the wrong metrics.

I’ve always been fascinated by how mobile test automation has evolved. From the early days of scripting interactions in Appium, Espresso, XCUITest, or any other tool, automation has come a long way in validating mobile app functionality. But there’s still one tricky area—visual validation. Functional automation does a great job of checking whether elements exist, buttons are clickable, and text fields accept input.

Functional testing services can increase test coverage and reduce the burden of test creation and maintenance on developers, allowing them to focus on coding new features and updates. However, during calls with prospects, we often hear about challenges with previous service providers. Namely, testing services that blocked releases, overlooked clear user interface (UI) bugs, and introduced new issues, such as poor communication due to language barriers and time zone differences.

You must have heard people say creativity cannot be channelized or forced. It comes from your heart, and there is no process involved. It sounds great when you don't have a lot of clients or a team to take care of. But, if you have them, this can become a horror story. No matter how professional or seasoned you are in your niche, there will be times when clients rip off your work and suggest numerous changes. Without a creative workflow, this can become an endless cycle of revisions.

Rate limiting ensures fair API usage, protects system performance, and prevents resource overload in multi-tenant environments. Here's what you need to know: Pro Tip: Use tools like DreamFactory for built-in rate limiting and traffic management. It simplifies tenant isolation, dynamic adjustments, and monitoring. Rate limiting is essential for fair, secure, and reliable API performance in multi-tenant systems. Dive into the full article for detailed strategies and examples.

Playwright is one of the best solutions if you’re looking for a modern, reliable, and efficient test automation framework. Designed for speed, stability, and ease of use, Playwright helps testers and developers write robust test scripts with minimal effort. Read this Playwright tutorial to learn about this framework, including how to set it up for writing and executing tests. Check the complete Playwright Tutorial video from our workshop.

Exceptions can occur for various reasons, such as invalid input, logical errors, file handling issues, network problems, or other exception conditions. Examples of exceptions in Python include ZeroDivisionError, TypeError, FileNotFoundError, and ValueError, among others. Exception handling in Python is a crucial aspect of writing robust and reliable code in Python.