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Secret Caching for AWS Lambda: Is It Really Working?
Recently, I worked on a project that used AWS Lambda functions a lot. As our serverless architecture got more complex, we needed better ways to manage sensitive information like database credentials and API keys securely and efficiently. My job was to improve the performance of our Lambda functions, especially in handling this sensitive data.
The problem was that our functions were frequently calling AWS Secrets Manager, which was secure but caused delays and increased our costs. I wondered if we could cache these secrets within our Lambda functions, but I wasn’t sure if it would work well in a serverless environment.
This uncertainty led me to research and experiment with AWS Lambda, secret caching, and serverless computing. What I found was both interesting and useful. I’m excited to share my findings with you in this article.
Understanding the Lambda Execution Context
Before we dive into secret caching, it’s crucial to understand the concept of the Lambda execution context. This understanding forms the foundation of why caching can be so effective in Lambda functions.
