Systems | Development | Analytics | API | Testing

Xray

S1.E32: The power of observability and Exploratory Testing with Charity Majors

"Monitoring is for your known unknowns. Observability is for your unknown unknowns." But what does that really mean? And where does exploratory testing fit into all of this? In this episode of QA Therapy, we sit down with Charity Majors, co-founder and CTO of Honeycomb, to dive into the evolving role of testing, monitoring, and observability in modern software development.

Automation metrics that matter: a guide for QA leads

Quality Assurance (QA) leads ensure that automated testing contributes to delivering high-quality products. But how do you measure the success of your automation efforts? This is where tracking the right metrics becomes essential. Automation metrics provide QA leads with insights into the efficiency, reliability, and impact of their testing strategies. When used effectively, these metrics can identify bottlenecks, guide decision-making, and improve overall team performance.

Why does everyone seem to equate AI with generative AI these days? #AI #TechTrends #Xray

AI is so much more than that—it spans numerous fields, from machine learning to predictive analytics, computer vision, natural language processing, and beyond. Are we narrowing the conversation too much? Check out the full episode for more insights.

The role of reporting in scaling QA processes

Quality Assurance (QA) ensures that products meet defined standards and function as intended. As businesses grow and software becomes more complex, the need for scaling QA processes becomes even more noticeable. On the other hand, reporting helps track the progress of testing efforts, identifies defects, and measures the effectiveness of test strategies. Without proper reporting, it's challenging to maintain control over quality, especially as projects grow.

S1.E31: How AI can enhance Exploratory Testing with Mark Winteringham

Discover how to harness AI in exploratory testing! In this episode of QA Therapy, Mark Winteringham discusses the benefits of AI in QA and the critical importance of identifying the right problems before adopting it. AI isn’t a one-size-fits-all solution. If you can’t pinpoint specific challenges it addresses, you might not be ready to use it effectively. Mark’s insights provide clear guidance for making informed decisions about AI in your QA strategy.