This article discusses various optimization techniques for AWS Lambda functions, which are crucial components of serverless architectures. The author emphasizes that while Lambda is a professional service, its ease of setup and management can lead to misconceptions about performance. To improve the performance of Lambda functions, the article highlights several key optimizations: splitting dependencies to reduce code loading time during cold starts, optimizing imports by directly importing submodules, bundling code to minimize loaded code size, and applying general optimizations such as moving init code outside of function bodies, sending requests in parallel, batching items, and utilizing Serverless framework configurations. By implementing these techniques, developers can significantly improve the performance and efficiency of their Lambda functions.