enoch.codes👨🏾‍💻

Concurrency must be part of your design vocabulary Thread safety becomes simple only when it becomes habitual. Successful teams build concurrency into their design principles: - Immutable data first - Clear ownership of shared resources - Avoid unnecessary shared state - Prefer stateless services - Use concurrency-safe primitives and patterns (locks, channels, actors, message queues) - Review code with concurrency in mind - Write deterministic, repeatable concurrency tests This mindset does not guarantee that you will never hit race conditions, but it drastically reduces your exposure to them.

How would you design an authentication system for a large-scale web application? https://kaperskyguru.substack.com/p/how-would-you-design-an-authentication?publication_id=6014332&post_id=179657224&isFreemail=true&r=2yy8g5&triedRedirect=true

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Goca is a CLI tool that generates production-ready Go code following Clean Architecture principles. It automatically scaffolds complete features including entities, use cases, repositories, and handlers while enforcing proper layer separation and dependency rules based on Uncle Bob's architecture patterns. #tool https://sazardev.github.io/goca

Timezones as Types: Making Time Safer to Use in Go? Timezones as Types: Making Time Safer to Use in Go? — The creator of go-meridian demonstrates how the library uses types to represent timezones, preventing incorrect timezone handling at compile time. https://www.matthewhalpern.com/posts/golang-type-safe-timezones #article #article@digestgolang #go #go@digestgolang

#GO vs #RUST

memory management

https://poltora.dev/rust-vs-go-memory/

#Article The Green Tea Garbage Collector Go 1.25 introduces Green Tea, an experimental garbage collector that reduces GC overhead by 10-40% across various workloads. Unlike traditional mark-sweep algorithms that traverse objects individually, Green Tea operates on entire memory pages, improving CPU cache utilization and enabling vector instruction acceleration. The approach addresses modern hardware challenges like NUMA, reduced memory bandwidth, and increased core counts. Production-ready and already deployed at Google, it's available via GOEXPERIMENT=greenteagc and planned as the default in Go 1.26. https://go.dev/blog/greenteagc