#aws-lambda

#aws-lambda

Serverless security is challenging; traditional methods like log monitoring and static analysis are insufficient to fully secure these environments.

Lambda versions provide immutable snapshots ensuring code consistency and stability, while aliases facilitate effective version management and gradual traffic shifting.

Optimizing AWS Lambda through batching, distribution, and parallelization enhances resource utilization and reduces costs and function invocation frequency.

Performance optimization is crucial for user experience and revenue in serverless environments, with Deno showing the lowest cold start times in AWS Lambda.

You can run tasks asynchronously after sending a Lambda response, impacting user experience if delayed.

Lessons from large-scale platforms can benefit enterprises of any size by fostering scalable architecture.

Key technologies like AWS Lambda are evolving to address challenges like cold starts and enhance system availability.

Lambda enables efficient execution across various integrated languages.

Lambda offers synchronous and asynchronous invocation models for rapid or deferred execution.

Lambda prioritizes core design principles for a reliable, secure, and scalable execution environment.

Developers can now access a real-time feed of CloudWatch Logs from all log groups and have it delivered to a single destination for further processing.

Customers can deliver real-time log events to a Kinesis Data Stream, Amazon Kinesis Data Firehose, or AWS Lambda for custom processing or redirection to alternative destinations.

AWS Lambda now supports response payload streaming, allowing functions to progressively stream response data back to clients.

Response streaming improves performance for web and mobile applications, enables functions to return larger payloads, and allows long-running operations with incremental progress reporting.

AWS CloudWatch alarms now support AWS Lambda functions as an action for state changes.

Developers can automate remediation actions when detecting an unhealthy resource.

AWS Lambda allows you to run code without managing servers and only pay for the compute time you consume

Lambda can be used for a variety of applications and backend services with zero administration

Unit testing AWS Lambda functions is important for validating individual components.

Amazon CodeWhisperer provides support for using Okta as an external IdP for authentication.

AWS Lambda allows you to run code without managing servers

Lambda can be used to automate tasks like deleting old EBS snapshots

Sharing code between Lambda functions in AWS can lead to easier maintenance, smaller bundle sizes, and increased team efficiency.

Bit components provide a novel way of sharing code between frontend and serverless backend in a loosely coupled manner.

Common strategies for sharing code among Lambda functions include putting shared code in one place, using Lambda Layers, and using tools like Serverless Framework and AWS CDK.