Turbocharged: Mastering Performance in Cloud Architecture
Summary
Cloud performance is one of those words that everyone agrees matters, but often means different things depending on who you ask. Is it latency? Is it autoscaling? Is it picking the right SKU size?
We cover the fundamentals of designing for performance in the cloud: how to select the right compute options, when to scale up or out, and what it takes to reduce latency across global workloads. We explore autoscaling strategies, observability tooling, cost tradeoffs, and real-world tuning stories—plus we wrap with a cheat sheet of optimization tools across AWS, Azure, and GCP.
Performance isn’t just about throwing more cores or RAM at a problem. It’s a set of design choices you make continuously—choices that affect cost, scalability, and user experience. Use the principles and tools in your cloud provider to experiment, monitor, and improve.
Producer’s note: we encountered some technical issues during recording, so apologies for the audio quality in some parts. The content is still solid, and we hope you find it valuable!