Java.lang exceptions are some of the most commonly encountered exceptions in Java programming. As one of the foundational packages in the Java Standard Library, you don't even explicitly import java.lang in your code; it’s automatically imported into every Java program. Thanks to java.lang you get essential classes such as String, Math, and System, among others. You also get a variety of base classes for handling exceptions and errors.

How did Selenium pave the way for Sauce Labs to deliver software development from the throes of inefficiency? You might just be interested in contributing to the project after reading, which would get you a t-shirt — so, read on!

Hello, Katalon users and software testing professionals! Today, we’re going to delve into a common issue that some of our users have encountered with the Katalon Web Recorder. This blog post is inspired by a real-life scenario shared by a user on our Katalon Community forum.

Hello, Katalon users and software testing enthusiasts! Today, we’re addressing a common query raised in our community forum: why don’t screenshots appear in Katalon reports?

Software bugs are a natural occurrence in the software development cycle but they sure can be the bane of app developers’ lives. To fix issues swiftly and efficiently, they must be reproducible in the development environment.

Are you building a SaaS application on AWS and wrestling with the complexities of implementing usage-based billing? Moesif and Amazon Web Services(AWS) are working together to make it easy for SaaS architects and developers to implement usage-based billing with the SaaS Builder Toolkit for AWS(SBT-AWS). Moesif is a cloud-based solution for usage-based metering and billing. SBT-AWS is an open-source developer toolkit provided by AWS to implement SaaS best practices.

BigQuery numeric search indexes enable optimized lookups on INT64 and TIMESTAMP data types.

Think about the monotonous task of extracting data from sources like spreadsheets and emails and typing it into various systems. Repetitive tasks and manual workflows lurking inside business processes slow down teams, introduce human error, and erode employee engagement. Slow, ineffective processes can also kill an organization’s time to market and customer satisfaction.

Our users surprise us every day. They constantly find new and exciting ways to use our apps, and create all kinds of edge cases with their behaviour. As developers, it’s impossible to predict every single edge case. What we can do, however, is train our apps to react, and this is the core of Reactive programming, a development paradigm which has rapidly gained popularity for Swift programmers in recent years.

Recent advances in artificial intelligence (AI), particularly in generative AI with the release of large language models (LLM) such as OpenAI’s GPT 3.5 and 4.0, Google’s Gemini, and Meta’s Llama in 2023, have had a profound effect on business procedures and practices in several industries, including software development, operation, and quality engineering (QE).