This article presents best practices for AWS Lambda Functions in three key areas: Security, Performance, and Cost Optimization, essential for constructing efficient, secure, and cost-effective serverless applications.

Security:

• Apply the Principle of Least Privilege by assigning minimum necessary permissions to Lambda functions.

• Protect sensitive data by encrypting environment variables with AWS Key Management Service (KMS).

• Minimize potential security incident impacts by enabling Concurrency Throttling.

• Isolate Lambda functions using VPCs to control network access and reduce the attack surface.

Performance:

• Choose the appropriate memory size for Lambda functions considering workload requirements.

• Improve response times by minimizing cold starts with strategies like provisioned concurrency.

• Enhance deployment time and cold start duration by optimizing function code and minimizing dependencies.

• Monitor function performance using AWS X-Ray for tracing to identify bottlenecks and optimize execution.

Cost Optimization:

• Monitor costs with AWS Budgets and set up function-level billing alerts.

• Minimize function duration to reduce cost, optimize code, and use efficient data processing techniques.

• Utilize AWS Savings Plans to commit to a consistent Lambda compute usage and receive discounts.

• Regularly review and delete unused Lambda functions to reduce costs and maintain a clean environment.

By adhering to these best practices, you can effectively tackle serverless computing challenges and create secure, scalable, and manageable applications. For a more detailed exploration, read the full article and serise on LinkedIn AWS Lambda Best Practices & Tips.