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Modern software teams are drowning in data yet still flying blind when things break. Logs scattered across tools. Dashboards that don’t connect the dots. Alerts that wake you at 3 AM but don’t explain why your app failed. Traditional observability promised answers, but for many developers, it’s delivered more noise than insight. This ebook explores

AI is speeding up software development – and putting greater pressure on QA teams to deliver on quality more than ever. As teams ship faster, test management has become one of the most important levers for keeping releases predictable, efficient, and stress-free. Heading into 2026, it’s important you have the right approach in place to

Struggling to clearly show the value of your testing work – or to get the budget, resources, or support you know your team needs? You’re not alone. As software delivery moves faster, visibility becomes one of QA’s biggest challenges: leaders want clarity, teams need alignment, and testers need a reliable way to connect day-to-day work

A global streaming music service with millions of daily streaming sessions across multiple platforms and devices needed an error monitoring tool to determine the root cause of crashes faster.

Join our Zephyr Solutions Engineering team for a live Ask Me Anything session focused on AI and no-code automation in Zephyr.

Developers can now generate and refactor code in seconds with AI, but testing, debugging, and monitoring practices haven’t kept pace. Teams are building faster than they can verify that their software works as intended.