AWS Compute Blog

Category: Compute

Managing Your AWS Resources Through a Serverless Policy Engine

Stephen Liedig, Solutions Architect Customers are using AWS Lambda in new and interesting ways every day, from data processing of Amazon S3 objects, Amazon DynamoDB streams, and Amazon Kinesis triggers, to providing back-end processing logic for Amazon API Gateway. In this post, I explore ways in which you can use Lambda as a policy engine […]

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Continuous Deployment for Serverless Applications

With a continuous deployment infrastructure, developers can quickly and safely release new features and bug fixes for their applications without manually triggering any deployment scripts. Amazon Web Services offers a number of products that make the creation of deployment pipelines easier: AWS CodePipeline AWS CodeCommit AWS CodeBuild – newly launched A typical serverless application consists […]

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Scripting Languages for AWS Lambda: Running PHP, Ruby, and Go

NOTE: As of January 15, 2018 Go is now a natively supported language of AWS Lambda. You can read more here: https://aws.amazon.com/blogs/compute/announcing-go-support-for-aws-lambda/ This post courtesy of Dimitrij Zub, Solutions Architect and Raphael Sack, Technical Trainer In our daily work with partners and customers, we see a lot of different amazing skills, expertise and experience in many […]

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Serverless at re:Invent 2016 – Wrap-up

The re:Invent 2016 conference was an exciting week to be working on serverless at AWS. We announced new features like support for C# and dead letter queues, and launched new application constructs with Lambda such as Lambda@Edge, AWS Greengrass, Amazon Lex, and AWS Step Functions. In addition we also added support for surfacing services built […]

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Robust Serverless Application Design with AWS Lambda Dead Letter Queues

Gene Ting, Solutions Architect AWS Lambda is a serverless, event-driven compute service that allows developers to bring their functions to the cloud easily. A key challenge that Lambda developers often face is to create solutions that handle exceptions and failures gracefully. Some examples include: Notifying operations support when a function fails with context Sending jobs […]

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Introducing Simplified Serverless Application Deployment and Management

Orr Weinstein, Sr. Product Manager, AWS Lambda Today, AWS Lambda launched the AWS Serverless Application Model (AWS SAM); a new specification that makes it easier than ever to manage and deploy serverless applications on AWS. With AWS SAM, customers can now express Lambda functions, Amazon API Gateway APIs, and Amazon DynamoDB tables using simplified syntax that is […]

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Simplify Serverless Applications with Environment Variables in AWS Lambda

Gene Ting, Solutions Architect Lambda developers often want to configure their functions without changing any code. In this post, we show you how to use environment variables to pass settings to your Lambda function code and libraries. Creating and updating a Lambda function First, create a Lambda function that uses some environment variables. Here’s a […]

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Building a Backup System for Scaled Instances using AWS Lambda and Amazon EC2 Run Command

Diego Natali, AWS Cloud Support Engineer When an Auto Scaling group needs to scale in, replace an unhealthy instance, or re-balance Availability Zones, the instance is terminated, data on the instance is lost and any on-going tasks are interrupted. This is normal behavior but sometimes there are use cases when you might need to run […]

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