In the field of software quality assurance, there are two types of testing often referenced, smoke testing and regression testing. While they are both vital to software quality, each has its own unique functions and overlaps in the software development cycle. This post explores the differences between smoke testing vs regression testing, and when and how to effectively implement each.
How we architected a responsive, HTTP-aware scale-to-zero mechanism to improve resource efficiency across cloud native workloads in Choreo. Cloud platforms promise elasticity, but achieving true efficiency, especially for idle or sporadically used services, requires more than just horizontal scaling. At Choreo, we set out to rethink how workloads behave when they're not actively serving requests.
Though storage systems and cloud storage services are well known, organizations should consider enhancing a handful of key areas in their storage infrastructure to prepare for the future. While some consider storage systems, management software and services to be commodities, differentiation between offerings can determine the scalability, flexibility, efficiency and resiliency of the data storage infrastructure.
Everyone is talking about MCPs. But what are they really? In Episode 2 of Round Table Series, we explore Model Context Protocols (MCPs) - the core framework that powers real-time tool interaction within Astera’s AI Agent Builder. Join our experts Maha Hanfi (AI Evangelist and Director of Marketing), Furqan Saeed (Senior Software Engineer) and Humza Khatri (Software Architect).
Did you know that 77% of QA professionals are already using AI in their testing practices? In this year’s State of Software Quality Report 2025, Katalon asked QA teams about the role of AI in their workflows, and the results are eye-opening. This short video reveals one of the biggest takeaways: how widespread AI adoption has become in the quality space, and why it matters for the future of testing.
Automation can make cloud migration faster, cheaper, and safer. It reduces migration time by 50%-80%, lowers costs by up to 30%, and minimizes risks like data loss and downtime. Manual migrations often fail due to human error, complexity, and unforeseen expenses. Here's how automation solves these challenges.
Developing high-quality products means carefully defining and tracking both functional and non-functional requirements (NFRs). But what exactly are non-functional requirements and how can you best manage them? This guide will help you understand the difference between functional and non-functional requirements with real-world examples. It also covers best practices for writing them and discusses how to track and manage non-functional requirements for greater efficiency.
Hitachi Virtual Storage Platform One Block delivers performance, uptime and efficiency to drive DestekBank's retail banking growth and digital transformation.