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The latest News and Information on Software Testing and related technologies.

Compliant Test Data Used to Be Hard. It Isn't Anymore.

This is a guest post from Saskia Parks. If you're exploring test data management (TDM) solutions, you probably know your current practices aren't ideal, but you're skeptical investing in a solution is worth the budget and effort. We hear the same concerns. The perception is that proper TDM is expensive, complicated, and takes months of painful implementation.

Speedscale Named in Gartner Market Guide for API Testing

In the highly dynamic environment of modern engineering, an appropriate strategy for API quality is more important than ever. We are pleased to announce that Speedscale has been named in the latest “Market Guide for API and MCP Testing Tools” report from Gartner. As software development is shifting towards complex distributed architectures, integrating Model Context Protocol (MCP) for AI-based workflows, the need for realistic testing has never been higher.
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Kubernetes Load Testing Made Easy with Speedscale

Everybody knows working with Kubernetes is really hard. It's highly complicated. You have to know how to work with YAMLs, there's lots of stuff to deal with. The classic developer experience with YAML. But what if you could get complete visibility into your Kubernetes workloads and run realistic load tests without touching a single YAML file or running kubectl commands? In this walkthrough, I'll show you how Speedscale makes Kubernetes observability and performance testing as simple as point-and-click.

Improve test coverage across codebases with Datadog Code Coverage

As codebases grow across many different services, it becomes harder to see what test suites actually cover. AI-assisted development and faster release cycles increase the volume of changes landing in repositories, raising the risk that untested code will make it through to production. To maintain a high standard, teams need clear and scalable visibility across repositories, consistent testing standards, and a way to catch blind spots before they reach users.

Move fast, don't break things: Consistent testing standards at scale

Moving quickly is essential for modern engineering teams, but speed without guardrails can introduce hidden risks in testing. As organizations scale, teams often define and apply coverage standards inconsistently across services and repositories. What qualifies as “acceptable coverage” in one project may be completely different in another. Without automated enforcement, untested code can slip through reviews.

Your Test Data Environment: Build vs Buy - a conversation we need to have

After three decades of working with databases, one thing I’ve seen over and over is this: we don’t treat our development and test environments with the same respect we do our production systems. Not because people don’t care. Far from it. It’s usually because teams are under pressure, everyone’s juggling multiple priorities, and the quickest path forward often wins the day.

How to Plan a Successful UAT: Roles, Timeline, and Readiness Checklist

You're two weeks from launch. Development says they're done. QA signed off. Then you hand the system to actual users and watch everything fall apart. Buttons nobody clicks. Workflows nobody understands. Features that technically work but make zero sense in real life. That's what happens when you skip proper User Acceptance Testing planning. UAT isn't just the final testing phase. It's your last chance to catch the gap between what you built and what users actually need. Miss this step and you're fixing production issues while angry customers flood your support inbox.

Why test data management is becoming increasingly important to senior IT leaders

We recently sat down with James Phillips, Senior IT Leader, to talk about test data management (TDM) and the growing attention it’s getting from the senior IT leaders. It’s been prompted by the recognition that provisioning test and development environments with realistic production-like data improves the quality of code being developed, reduces errors, and deliver new features to customers faster.