Category: Serverless

This post explores Lambda’s scaling behavior when subscribed to SQS standard queues. It walks through several ways to scale faster and maximize Lambda throughput when needed. This includes increasing the memory allocation for the Lambda function, increasing batch size, catching errors, and making configuration changes.

This post is co-written by Karen Hong, Software Development Engineer, AWS Messaging. To use Amazon SNS to send mobile push notifications, you must provide a set of credentials for connecting to the supported push notification service (see prerequisites for push). For the Apple Push Notification service (APNs), SNS now supports using token-based authentication (.p8), in […]

In this post, you build a highly available Amazon MQ broker in a private subnet. You layer security by placing the brokers behind a highly scalable Network Load Balancer. You configure routing from a single custom subdomain URL to multiple brokers with a built-in health check.

This post is written by Amir Khairalomoum, Sr. Solutions Architect. In this blog post, I show you how to use Lambda@Edge feature of Amazon CloudFront to implement a header-based API versioning solution for Amazon API Gateway. Amazon API Gateway is a fully managed service that makes it easier for developers to create, publish, maintain, monitor, […]

This post is written by Brian Zambrano, Enterprise Solutions Architect and Indranil Banerjee, Senior Solution Architect. In December 2020, AWS announced support for packaging AWS Lambda functions using container images. Customers use the container image packaging format for workloads like machine learning inference made possible by the 10 GB container size increase and familiar container […]

This post is written by Veda Raman, SA Serverless, Casey Gerena, Sr Lab Engineer, Dan Fox, Principal Serverless SA. For real-time machine learning inferencing, customers often have several machine learning models trained for specific use-cases. For each inference request, the model must be chosen dynamically based on the input parameters. This blog post walks through the architecture […]

This post shows how to create a Step Functions workflow for Forecast using AWS SDK service integrations, which allows you to use over 200 with AWS API actions. It shows two patterns for handling asynchronous tasks. The first pattern queries the describe-* API repeatedly and the second pattern uses the “Retry” option. This simplifies the development of workflows because in many cases they can replace Lambda functions.

This solution provides a way to convert information from Secrets Manager into Lambda environment variables. By following this approach, you can centralize the management of information through Secrets Manager, instead of at the function level.

Building a serverless application changes the way developers think about testing their code. Previously, developers would emulate the complete infrastructure locally and only commit code ready for testing. However, with serverless, local emulation can be more complex. In this post, I show you how to bypass most local emulation by testing serverless applications in the […]

There are multiple factors to consider when tuning a federated GQL system. You must be aware of trade-offs when deciding on factors like the runtime environment of Lambda functions. An extensive testing strategy can help you scale systems and narrow down issues quickly. Well-defined testing can also keep pipelines clean of false-positive blockages.