Machine Learning Operations(MLOps) is one of the most important disciplines to have emerged in modern AI-driven organizations. As organizations increasingly rely on machine learning (ML) and deep learning to automate decisions, personalize user experiences, detect anomalies, and optimize internal processes, they face a new set of operational challenges: How to build scalable ML systems? How [...]
In modern software development, there is always a race to deliver features faster, reduce time-to-market, and remain competitive in an ever-evolving digital environment. However, with speed comes compromise, especially in testing. To offer faster, teams may skip tests, write minimal tests, delay automation, or choose quick fixes—these shortcuts, when accumulated over time, result in what [...]
This is the era of rapid software delivery, and organizations are always under pressure to deliver faster, while maintaining or even improving quality. In this context, DevTestOps is increasingly gaining relevance as a means to combine development (Dev), testing (Test), and operations (Ops) into a single pipeline. At its core, DevTestOps aims to integrate quality [...]
Scalability is one of the most vital features of any software system, in today's world of constantly increasing user bases, data volumes, and cloud-driven architectures. It examines whether your program can adapt to a sudden increase or decrease in workload without impacting responsiveness or crashing. Test scalability, also known as scalability testing, is useful in [...]
Artificial intelligence (AI) systems are now embedded into nearly every aspect of modern technology, from search engines to self-driving vehicles and from fraud detection to conversational agents. As AI systems grow in influence and their use increases, the consequences of errors, vulnerabilities, and blind spots become more significant. Adversarial testing is one of the most [...]
Artificial Intelligence (AI) is influencing nearly every sector, from healthcare and finance to education and entertainment. But as AI systems grow in complexity and sophistication, there is an underlying question: How do we know whether these systems are doing what they should? The solution is called AI evaluation - often known as AI Eval. AI [...]
Software testing is now a crucial factor in determining quality, security, and customer satisfaction rather than being an afterthought. Teams must carefully select the best testing methodology to prevent defects from entering production as a result of shorter delivery cycles and increasingly complex applications. The problem is that different projects require different testing approaches. A [...]
Traditional methods of quality assurance (QA), which generally take place at the end of the development cycle, are no longer sufficient in the current software development industry. Today's industry demands faster release cycles and high-quality standards. As a result, QAOps, a modern method that integrates QA into the DevOps pipeline, has garnered popularity. The article [...]
Two important components of success in modern software development are teamwork and quality. Over time, a number of methods have been built to achieve these goals; three in particular stand out: Test Driven Development (TDD), Behavior Driven Development (BDD), and Specification Driven Development (SDD). They strive to improve software reliability, boost communication, and closely align [...]
In order to ensure the quality, stability, and reliability of a product, software testing is necessary. Regression testing and retesting are two regularly confused but quite distinct testing methods. Their scope, objectives, and execution are different, even though they may sound similar and are often executed during the same release cycle. This article discusses the [...]
