AWS Compute Blog

Tag: serverless

AWS re:Invent

ICYMI: Serverless pre:Invent 2019

With Contributions from Chris Munns – Sr Manager – Developer Advocacy – AWS Serverless The last two weeks have been a frenzy of AWS service and feature launches, building up to AWS re:Invent 2019. As there has been a lot announced we thought we’d ship an ICYMI post summarizing the serverless service specific features that […]

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Tracking the state of AWS Lambda functions

AWS Lambda functions often require resources from other AWS services in order to execute successfully, such as AWS Identity and Access Management (IAM) roles or Amazon Virtual Private Cloud (Amazon VPC) network interfaces. When you create or update a function, Lambda provisions the required resources on your behalf that enable your function to execute. In […]

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SAR Verified Author badge

Serverless Application Repository introduces Verified Author badge

Since its launch in February 2018, the AWS Serverless Application Repository (SAR) has become a rich library of components and serverless applications for builders. SAR allows developers to share these applications privately within their own accounts, or publicly with a broader audience. Today, we are excited to announce that SAR authors can now apply for […]

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A simpler deployment experience with AWS SAM CLI

The AWS Serverless Application Model (SAM) CLI provides developers with a local tool for managing serverless applications on AWS. The command line tool allows developers to initialize and configure applications, debug locally using IDEs like Visual Studio Code or JetBrains WebStorm, and deploy to the AWS Cloud. On November 25, we announced improvements to the […]

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Asynchronous Function Execution Result

Introducing AWS Lambda Destinations

Today we’re announcing AWS Lambda Destinations for asynchronous invocations. This is a feature that provides visibility into Lambda function invocations and routes the execution results to AWS services, simplifying event-driven applications and reducing code complexity. Asynchronous invocations When a function is invoked asynchronously, Lambda sends the event to an internal queue. A separate process reads […]

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Default asynchronous invocation retry logs

New AWS Lambda controls for stream processing and asynchronous invocations

Today AWS Lambda is introducing new controls for asynchronous and stream processing invocations. These new features allow you to customize responses to Lambda function errors and build more resilient event-driven and stream-processing applications. Stream processing function invocations When processing data from event sources such as Amazon Kinesis Data Streams, and Amazon DynamoDB Streams, Lambda reads […]

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Configuring the Parallelization Factor from the AWS Lambda console.

New AWS Lambda scaling controls for Kinesis and DynamoDB event sources

AWS Lambda is introducing a new scaling parameter for Amazon Kinesis Data Streams and Amazon DynamoDB Streams event sources. Parallelization Factor can be set to increase concurrent Lambda invocations for each shard, which by default is 1. This allows for faster stream processing without the need to over-scale the number of shards, while still guaranteeing […]

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Java 11 runtime now available in AWS Lambda

We are excited to announce that you can now develop your AWS Lambda functions using the Java 11 runtime. Start using this runtime today by specifying a runtime parameter value of java11 when creating or updating your Lambda functions. The Java 11 runtime does not introduce any changes in Lambda’s programming model, such as handler […]

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Node.js 12.x runtime now available in AWS Lambda

We are excited to announce that you can now develop AWS Lambda functions using the Node.js 12.x runtime, which is the current Long Term Support (LTS) version of Node.js. Start using this new version today by specifying a runtime parameter value of nodejs12.x when creating or updating functions. Language Updates Here is a quick primer that highlights […]

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Python 3.8 runtime now available in AWS Lambda

You can now develop your AWS Lambda functions using the Python 3.8 runtime. Start using this runtime today by specifying a runtime parameter value of python3.8 when creating or updating Lambda functions. New Python runtime features Python 3.8 is a stable release and brings several new features, including assignment expressions, positional-only arguments, and vectorcall. Assignment […]

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