In an era dominated by mobile apps, desktop applications remain vital across numerous industries. From gaming to enterprise solutions, tracking desktop app performance, user behavior, and feedback is crucial. While mobile tracking is a well-established practice, companies also need to pay more attention to the importance of desktop tracking. Despite the importance of desktop applications, many analytics platforms remain heavily focused on mobile tracking.

BigQuery history-based optimizations learn from similar queries to identify and apply additional improvements to the query execution.

While still in its early days, artificial intelligence is becoming a driving force behind innovation in software testing. While automation has improved testing efficiency, AI can take it further by influencing critical decision-making. Rather than reacting to issues as they arise, teams can now identify potential problems earlier in the development cycle. In this article, we’ll explore how artificial intelligence can help teams rethink their testing strategies.

See the GitHub repository for the source code of this article’s example project. Serverless is a popular framework to build serverless apps using AWS Lambda on the Node.js runtime. Serverless automatically orchestrates necessary resources on AWS and can scaffold a basic project for you that you can build up on. You can solely focus on your application’s core logic, development, and your Lambda functions.

I often wonder about Steve Wozniak’s claim that the first computers were built to help “common people rise.” Correlating the evolution of software with the upheaval of our human society brings a very hopeful sentiment. Now, software engineering methodologies cater to more nuanced requirements of our “rising,” such as allowing space to correct mistakes (agility) and openness to feedback (adaptability).

API testing is an essential aspect of contemporary software development, ensuring that the interfaces between various components and systems function correctly. In this blog post, we will dive into some of the top free API testing tools that every developer should know about! From basic HTTP clients to comprehensive testing suites, these tools cover a wide range of needs and skill levels, helping developers create more robust and reliable applications. Get ready to supercharge your development process!

Welcome back to the third installment of our blog series where we’re diving into the beautiful black box that is Apache Kafka to better understand how we interact with the cluster through producer and consumer clients. Earlier in the series, we took a look at the Kafka producer to see how the client works before following a produce request as it’s processed by the cluster.

Testing software, especially complex systems, can be a daunting task. But what if there was a way to systematically test every possible input combination without getting overwhelmed? That’s where Decision Table Testing comes in! As a black-box testing technique, Decision Table Testing helps testers map various combinations of inputs (conditions) to their corresponding outputs (actions), ensuring comprehensive test coverage without redundancy.

The Software Testing Life Cycle (STLC) is your roadmap to delivering high-quality, bug-free software. Imagine it as a journey that guides software testers through every crucial step needed to transform a product from concept to perfection. Each phase plays a unique role—whether it's catching bugs, enhancing functionality, or ensuring the final product meets business needs. Every stage works in harmony to guarantee the software is ready for the real world. Ready to dive in?

As organizations increasingly seek to enhance decision-making and drive operational efficiencies by making knowledge in documents accessible via conversational applications, a RAG-based application framework has quickly become the most efficient and scalable approach. As RAG-based application development continues to grow, the solutions to process and manage the documents that power these applications need to evolve with scalability and efficiency in mind. Until now, document preparation (e.g.