Debug State Capture for Traditional Infrastructure & Apps

In the exploration of capturing application state and using ephemeral containers for debugging Kubernetes, the text outlines the importance of deploying specific tools for diagnostics to balance service restoration speed with comprehensive data collection for lasting resolutions. It emphasizes the benefits of capturing both application and environment states to streamline responses and problem-solving, especially in cloud-native platforms like Kubernetes, where containers may lack built-in debugging tools. The discussion also touches on hybrid scenarios involving both containerized and traditional applications, where capturing real-time evidence is crucial for root-cause analysis. Various use cases are provided, such as database debug using SQL RUN Step in Process Automation, application debug with tools like py-spy for Python applications, and traditional infrastructure debug using bash commands and bpftrace. These examples highlight how PagerDuty Process Automation's flexible workflows can be customized to gather and store essential diagnostics, enhancing visibility and decision-making for responders, developers, and operations teams.