Using solely Go-based tools, I create servers, caching layers, logging setups, and deployment pipelines. I adopt these pragmatic choices to showcase Go’s simplicity and its focus on real-world problem solving.
i’ve been using go for my stack too. its built in concurrency makes it smooth for scaling, even if sometimes debugging isn’t the best. overall, working with a go only stack means less friction but also less variety.
hey guys, im also into using go for my backend. i find its simplicity really refreshing, but im curious, how do ya handle real-time scaling during heavy loads? any cool techniques you stumbled upon?
Based on my experience managing distributed systems with Go, a backend stack entirely built on Go tools has proven to be highly efficient and maintainable. Relying on Go for all components simplifies integration and reduces overhead, ensuring that server, caching, logging, and deployment operations are seamlessly coordinated. This approach not only streamlines debugging and performance optimization but also leverages Go’s concurrency features, enabling the system to effectively handle increased traffic with minimal configuration changes. In my practice, such cohesion across the stack has been pivotal for consistent system performance.