Systems | Development | Analytics | API | Testing

Ever deployed code only to watch everything crash? We’ve all experienced that sinking feeling ,which is exactly why testing matters so much. While most developers understand that testing is vital, two important approaches : unit testing and regression testing are frequently confused, despite serving completely different functions. In this blog, we’ll clear up the confusion, examine their core methodologies, and how tools like Keploy can automate and enhance your testing processes.

If you release often or support a localized app, you know how quickly release notes can become a repetitive chore. Creating and managing release notes for every version can take up valuable time, especially when updates are frequent. The challenge grows when your app is localized, but your release notes aren't. App stores typically require localized notes, which often leads to a lot of copy-pasting or scrambling to meet requirements in languages your team may not speak fluently.

Condé Nast, National Australia Bank, and Red Ventures are global enterprises that modernized their data infrastructure with Fivetran and Databricks, strengthening the foundation of their businesses.

The EU Data Act gives businesses and individuals operating in the EU more control over their data, including data access and portability for customers.

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.

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.

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.

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.

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.

Retailers must use flexible, scalable architectures to integrate diverse, fragmented data sources and create better customer experiences.