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

Team-Based DLP: Give Each Group Its Own Redaction Rules

A shared Kubernetes cluster rarely belongs to one team. Payments runs checkout in one namespace, search runs search-api in another, and a risk team runs a scorer somewhere else. One Speedscale forwarder captures API traffic for all of them. Redacting that traffic before it leaves the cluster is what makes it safe to use for testing (the background is in The PII Testing Dilemma). Until now, that forwarder ran exactly one DLP rule. Every team that needed a field redacted had to edit the same JSON document.

Cloud Testing Pricing Models: Pay-As-You-Go vs Subscription

Pay-As-You-Go pricing remains popular for teams that value flexibility. If your test volumes fluctuate, this model helps you avoid long-term commitments. However, costs can rise quickly as usage increases, especially with minute- or session-based models. Performance and load testing tools often start with accessible self-serve plans but can become expensive as you scale up concurrency or virtual users.

Accessibility Testing in the UK: Why Compliance and Commercial Growth Now Go Hand in Hand

For years, digital accessibility sat in a familiar box: the right thing to do, championed by a handful of committed teams, but rarely a boardroom priority. That box has quietly closed. Across the UK, accessibility has moved from a values statement to a legal and commercial reality that touches procurement decisions, product roadmaps, and marketing budgets alike.

Festive Season 2026 Readiness : Why Performance and Quality Testing Matter More Than Ever

The festive rush has stopped being a single-day event. In 2026, it’s the peak moment inside a shopping season that now stretches from early October promotions through Diwali, Black Friday and Cyber Monday, straight into Christmas gifting. Traffic builds in waves for weeks before the real spike hits, and when it hits, retailers have minutes, not days, to prove their systems can handle it.

AI Adoption: What Goes Wrong & How Leaders Fix It | Brenn Hill

In this interactive AMA session, Brenn Hill, AI executive and author of The Delivery Gap, explores why many AI adoption initiatives fail to create lasting impact despite growing investment and enthusiasm. Drawing from his experience helping engineering organizations adopt AI at scale, Brenn unpacks the common pitfalls that hold teams back and shares practical strategies for engineering leaders to drive meaningful adoption. The session will cover how to align AI with business goals, measure success beyond hype, and build a culture that enables sustainable AI-driven transformation.

End-to-End Test Orchestration using MCP Servers | Raghunath Chilkuru

Most QA teams are still switching between requirement docs, their local codebase, and CI/CD dashboards to get automation done. This session is about closing that gap -using AI not as a code generator you prompt occasionally, but as something closer to an actual QA teammate working inside your IDE. ​Key Takeways:​A working understanding of MCP architecture - how to configure and run local or cloud-based MCP servers to connect your IDE with enterprise tools.

Integration Testing vs Functional Testing: Key Differences

Ask five engineers whether a test is "functional" or "integration" and you will probably get three answers. That is not because people are confused. It is because the same test can honestly be both. Here is the short version. Integration testing checks that components work together. Functional testing checks that the software does what the requirements say. One is about how the pieces connect. The other is about what the user gets.

Signal Over Noise: Building an Intentional Al Workflow That Scales

AI writes code faster than any team can check it. Diego Molina thought he had a tooling problem. He didn't. In 37 minutes he shows the workflow mistake most engineering teams are making right now, the one bottleneck that decides whether AI speeds you up or buries you, and the principles that drive his own workflow scale without the noise. Chapters Learn more at saucelabs.com.

Tricentis NeoLoad Agentic Performance Testing: AI Performance Analysis in Minutes

When a performance test run goes wrong, the real work begins, which means hours of manual analysis, digging through metrics, and trying to prioritize what to fix first. Agentic Performance Testing (APT) in NeoLoad changes that. In this demo, see how APT's specialized AI agents automatically analyze a failed test complete with a full, stakeholder-ready report, surfacing an executive summary, SLA compliance breakdown, trend analysis. critical findings, a prioritized action plan, and more, all without leaving NeoLoad.