This edition
99.9% uptime. Zero pod restarts. p99 latency looking fine. And still, a quarter of your users never finished onboarding that week.
Good uptime tells you your servers are running. It tells you nothing about whether your product actually works for the people using it. And the faster you ship, the more that gap costs you. AI-assisted development makes this even more urgent. We write and deploy code faster than ever now. But AI doesn't know your users. It doesn't know what makes your signup flow fragile or why your invoice job silently drops requests at the end of a quarter. That context is yours to build and protect.
LEVEL: Intermediate
Past editions
Event-driven systems are everywhere, but choosing the right approach can be tricky. Should you use simple webhooks, a message queue like Kafka, or something Go-native like Watermill? This talk explores the trade-offs between webhooks and pub/sub systems, focusing on scalability, reliability, and maintainability in Go applications. We'll walk through real-world scenarios—such as SaaS integrations, real-time notifications, and high-throughput data pipelines—and provide clear decision-making guidelines. Whether you're building a small Go service or architecting a large event-driven system, you'll leave with a solid framework for making the right choice.
LEVEL: Intermediate
