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

Boosting API Throughput for Financial Platforms

The most effective way to improve API throughput is a pragmatic mix of measurement, understanding provider constraints, and targeted engineering fixes. Always weigh throughput gains against their impact on reliability and user experience. Sustainable performance comes from addressing bottlenecks at every layer, not just tuning the API in isolation.

Guide to Load Testing Multi-Tenant SaaS Applications (2026)

Multi-tenant SaaS applications require a fundamentally different approach to load testing. Standard scripts that ignore tenant boundaries often miss critical issues. Tenant-aware load testing is essential for accurately measuring both overall performance and the integrity of data isolation. Without this, subtle forms of cross-tenant data leakage or resource contention may go undetected, especially under realistic, mixed-tenant workloads.

RAG in Quality Engineering: Ship Faster, Test Smarter | Janani Balasubramanian

How can Retrieval-Augmented Generation (RAG) help Quality Engineering teams ship faster and test smarter? In this TTTribeCast session, Janani Balasubramanian explores the practical applications of RAG in Quality Engineering and how teams can use organizational knowledge, testing data, and engineering context to improve the way they design, prioritize, and execute testing.

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.