debugging

Use pdb, Python's built-in debugger, to insert breakpoints in your script and step through execution line by line. Set a breakpoint with `breakpoint()` or `import pdb; pdb.set_trace()`, then use commands like `n` (next), `s` (step), and `p` (print) to inspect variables and pinpoint errors.

Debug JavaScript using console methods for logging and the Node.js inspector for interactive debugging. Launch Node with the `--inspect` flag to connect a debugger, set breakpoints, and step through code to identify issues in your application.

Use Docker CLI commands to access container logs and execute commands inside running containers. For Kubernetes, use kubectl to inspect pod logs, describe pod status, and access pod shells to diagnose distributed system issues across your cluster.

Use grep to search and filter logs by keywords and patterns, and jq to parse and extract structured data from JSON logs. Combine these tools to rapidly isolate error messages, trace request flows, and identify when issues occur in your system.

Use cProfile to profile CPU usage and identify slow functions, and memory-profiler to track memory consumption line by line. These tools reveal which parts of your code consume the most resources, enabling targeted optimization.

Yes. This Skill supports debugging workflows for local Python and JavaScript code, containerized applications using Docker, and distributed systems in Kubernetes. Apply consistent debugging techniques across environments, from development to production clusters.