1. The document discusses building resilient services in Go by focusing on uptime, error handling, concurrency, and monitoring services. It provides examples of handling errors, avoiding race conditions, implementing timeouts, and profiling services to understand memory usage and detect issues.
2. Key recommendations include carefully handling errors and resources using defer, avoiding race conditions using channels properly, enabling the race detector, implementing timeouts, and profiling services regularly to monitor memory usage and detect issues.
3. The document advocates knowing your service well through metrics like memory usage per request, stack traces of goroutines, and who is allocating memory in order to build resilience through monitoring, error handling, and avoiding common pitfalls.