Covering the purpose and use cases of KEDA, best practices, common pitfalls, and wrapping up with a scale-from-zero KEDA demo.

We cover the ever-growing importance of Large Language Models (LLMs) in applications, how LLM costs can easily compound once in production, and breaking down the costs associated with using LLMs.

We discuss why AWS is now charging for previously-free public IPv4 addresses, and how to analyze and minimize the impact of this change on your AWS bill.

In this episode, we go over how to optimize BigQuery for performance and cost, as well as the other services you would use alongside it for data ingestion, processing, and consumption.

Covering five costly mistakes data engineers make when building their data pipelines, and what you should be doing instead.