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

BearQ Q&A recap: Top questions from SmartBear's live event

Asked a question in our BearQ livestream? We’ve got your answers. We received 100+ questions during the event and couldn’t get to all of them live, so we pulled together the most common ones and answered them here. In this video, we break down what BearQ can test, how it handles authentication and complex workflows, how the AI works behind the scenes, how it fits into your existing tools, and even how to get early access.

The 4 Golden Signals of Monitoring Explained

As a team, we have spent many years troubleshooting performance problems in production systems. Applications have become so complex that you need a standard methodology to understand performance. Our approach to this problem is called the Golden Signals. By measuring these signals and paying very close attention to these four key metrics, providers can simplify even the most complex systems into an understandable corpus of services and systems.

7 Best Service Virtualization Tools in 2026

Service virtualization tools have become indispensable for organizations seeking to streamline their testing and development processes. These tools allow teams to simulate the behavior of critical software components, enabling more rapid development with overall cost reduction and improved collaborative outcomes. As demand mounts for service virtualization solutions, identifying the best tools to support this workflow in the software development lifecycle has never been so important.

Mobile App Performance Testing: How to Measure, Resolve, and Prevent Performance Regressions

From optimizing startup times to simulating real-world network chaos, discover how to build an automated mobile performance testing strategy that scales across thousands of real devices and protects your user experience.

What Is a Unified Quality Platform? Why Point Solutions Fail Enterprise Teams

Every engineering function has a system of record. Developers have GitHub. Product teams have Jira. Infrastructure has Datadog. Customer success has Salesforce. But ask a Head of QA where their single source of truth lives, and the answer is usually a pause, followed by "...it depends which tool you mean.".

The Observability Gap: Why Monitoring Data Should Drive Tests

Most teams already know a lot about production. They have dashboards. They have traces. They have alerts. They have enough telemetry to explain what happened after an incident and enough graphs to argue about it for the rest of the week. Then they go to test a change and start from scratch. The integration tests hit a hand-written mock that returns {"status": "ok"}. The load tests replay a CSV somebody exported months ago. Staging is close enough to production right up until it matters.

Automated Regression Testing: A Modern Perspective For Developers

Automated regression testing is no longer just about rerunning test cases after every change. In modern systems, it’s about ensuring that rapid releases, distributed architectures, and constant updates don’t silently break existing functionality. As teams move faster, the real challenge is not running more tests, but running the right ones efficiently.

Why Performance is the New Security in Open Banking (And Why Speed Defines Trust)

Quick Answer Open Banking performance is as critical as security because slow API responses lead to transaction failures, user abandonment, and loss of trust. To ensure success, banks must optimise latency across API chains, monitor p95/p99 metrics, and design systems for speed from the start. Imagine a digital banking customer. Let’s call him David, standing at a crowded airport terminal. He’s trying to book a last-minute flight through a travel aggregator.

HIPAA-Compliant Software Development: Development Steps, Best Practices, and Costs

Healthcare software now powers everything, from telehealth visits to patient portals to digital billing. But, as healthcare goes online, these systems hold more sensitive data. Medical records contain far more than clinical notes. They often include identity details, insurance information, payment data, and years of medical history. Protecting that data is not optional. According to the U.S.

Healthcare Data Analytics: Turning Clinical Data Into Better Patient Outcomes

Healthcare isn’t just about medicine anymore; it’s about data. Every test result, clinical note, scan, survey, wearable readout, and insurance claim adds to a growing pool of clinical data. But raw data doesn’t improve outcomes on its own. It has to be interpreted, connected, and acted on.