As software systems become increasingly complex, observability — the ability to understand a system's internal state based on its external outputs — has become a critical practice for developers and operations teams. Traditional observability approaches struggle to keep up with the scale and complexity of modern applications. As the amount of telemetry data grows, it becomes expensive and complex to navigate. Enter AI and its promise to revolutionize observability.

Agile software development places significant value on faster processes and better-quality outcomes, but there are a lot of different techniques that teams can leverage to achieve these goals. For many, automation integration has become a major priority, but there are several benefits to be seen from manual operations like exploratory testing. Let's take a look at what advantages exploratory testing can bring to agile environments.