AWS Compute Blog
Category: AWS Lambda
Deploying AWS Lambda layers automatically across multiple Regions
This blog post shows how to create a centralized pipeline to build and distribute Lambda layers consistently across multiple Regions. The pipeline is configurable and allows you to adapt the Regions and permissions according to your use-case.
Read MoreUnderstanding how AWS Lambda scales with Amazon SQS standard queues
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.
Read MoreIntroducing cross-account Amazon ECR access for AWS Lambda
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 […]
Read MoreChoosing between storage mechanisms for ML inferencing with AWS Lambda
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 […]
Read MoreBuild workflows for Amazon Forecast with AWS Step Functions
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.
Read MoreCreating AWS Lambda environment variables from AWS Secrets Manager
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.
Read MoreMonitoring and tuning federated GraphQL performance on AWS Lambda
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.
Read MoreBuilding a difference checker with Amazon S3 and AWS Lambda
This blog post shows how to create a scalable difference checking tool for objects stored in S3 buckets. The Lambda function is invoked when S3 writes new versions of an object to the bucket. This example also shows how to remove earlier versions of object and define a set number of versions to retain.
Read MoreOperating serverless at scale: Keeping control of resources – Part 3
This post describes guardrails that you can set up in your accounts or across the organization to keep control over deployed resources. These guardrails can be more or less restrictive according to your requirements.
Read MoreVisualizing AWS Step Functions workflows from the AWS Batch console
This post written by Dhiraj Mahapatro, Senior Specialist SA, Serverless. AWS Step Functions is a low-code visual workflow service used to orchestrate AWS services, automate business processes, and build serverless applications. Step Functions workflows manage failures, retries, parallelization, service integrations, and observability so builders can focus on business logic. AWS Batch is one of the […]
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