Systems | Development | Analytics | API | Testing

Is Database Subsetting Enough? How to Avoid Test Data Risks and Slowdowns

Many organizations turn to database subsetting for various reasons. For one, cloning entire terabyte datasets could bankrupt your cloud budget. And masked data could leave your teams fumbling with unrealistic test scenarios. Why wouldn't you just grab the data you need? Sometimes, it really is that straightforward. For certain use cases — like lightweight testing scenarios, proof-of-concepts, or applications with simple data structures — subsetting delivers exactly what it promises.

The Developer Experience Crisis: How Test Data Bottlenecks Kill DX Productivity

Developer experience (DX) — the ability for developers to easily do their essential tasks — has become crucial for attracting and retaining talent. Skilled developers are in short supply, but demand for their expertise continues growing. I've seen companies forced to maximize their current workforce while competing globally for talent. I also consistently see companies unknowingly damaging their DX through poor processes in overlooked areas.

What is Version Control and Why Do You Need It?

Version control, also known as “source control”, is a way of tracking, managing, and safeguarding changes to digital assets over time, so teams can collaborate efficiently without losing work or overwriting changes. Version control software automates this process, making it faster, safer, and more collaborative. But its real power goes beyond simple file history. It’s how teams stay in sync, move faster, and avoid losing work, especially when the pressure's on and deadlines are looming.

Perfecto AI for Retail Application Testing

Experience how Perfecto AI redefines retail application testing in this in-depth demonstration. Discover how our agentic AI navigates complex, real-world scenarios that challenge traditional test automation, such as discovering, installing, and validating retail apps across multiple countries and languages simultaneously. In this video, you will see: Transform your retail testing strategy with a platform that thinks, adapts, and executes beyond the limits of traditional scripting.

5 Critical DevOps Bottlenecks Caused by Traditional Test Data Practices

As enterprises scale their DevOps initiatives, DevOps bottlenecks are emerging from an unexpected source: inadequate test data management practices. But what can you do about it? In this blog, we will explore the common drawbacks in traditional test data management practices. Then, let’s dive into how real-life enterprises are overcoming DevOps bottlenecks with proven solutions that accelerate delivery and reduce operational risks.