Systems | Development | Analytics | API | Testing

Part 3: Building a Production-Grade Traffic Capture and Replay System

At a previous company, we had over 100 microservices. I’d make what seemed like a simple change to one service and deploy it, only to discover it broke something completely unrelated. A change to the user service would break checkout. An update to notifications would break reporting. We spent more time fixing unexpected bugs than shipping features. The problem was our test scenarios were too simple.
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Settle Your QA Debt Before the Bugs Start Breaking Kneecaps

In Part One, we discussed how QA debt builds silently over time - causing slower releases, late-night firefights, and unpredictable test cycles. The next step is understanding how much debt you have and where it hides. This post goes deeper into measuring QA debt - what to track, how to collect data, and how to use those insights to create a sustainable plan for improvement.

Bitrise Mobile Insights Report defines new benchmarks for app velocity and performance, and reveals how elite teams cut build times by 28%

‍San Francisco, US — November 12, 2025 — Bitrise, the leading DevOps platform for mobile, today released Bitrise Mobile Insights 2025, a comprehensive benchmarking report based on aggregated, anonymized data across 10M+ Bitrise builds over 3.5 years across its global customer base (January 2022–June 2025). “Innovation is accelerating, user expectations are rising, and engineering teams face constant pressure to deliver,” said Barnabás Birmacher, CEO of Bitrise.

What Is Test Completion In Software Testing?

When can a team truthfully say “testing is done”? Have you ever shipped with doubts about whether enough testing actually happened? That hesitation is costly: escaped bugs, hotfixes, and lost customer trust. Test completion answers that question with objective evidence – not just opinions. This blog explains how to define, measure, and document test completion so teams can release with confidence.

Diving Into Reactive Programming in Node.js

Boosting the scalability of your backend applications often means rethinking how you manage asynchronous data. That’s where reactive programming comes into play: a paradigm that treats data streams as first-class citizens, allowing your code to respond to data changes as they occur. While Node.js wasn’t built with reactive programming in mind, libraries like RxJS and Bacon.js support that approach.

Context-Driven AI Reigned Supreme at Current New Orleans

AI is redefining what it means to build data-driven businesses. It’s no longer about mining insights from data—it’s about creating intelligent systems that can understand the state of the business and act on its behalf in real time. And in this new era, context data is king. That was the recurring theme at Current New Orleans, the data streaming event that drew in thousands of attendees, in-person and online.

Accelerating QA With Xray's AI Test Case Generation

Software teams are shipping faster than ever — but testing still moves at human speed. Agile and DevOps have redefined delivery cycles, yet QA teams are often left struggling to keep up. Between evolving requirements, multiple environments, and constant regression demands, testers are expected to do more with less. One of the biggest bottlenecks? Test case design. Creating test cases manually is slow, repetitive, and prone to oversight.