Category: AWS Lambda

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.

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 […]

This post was written by Ronan Prenty, Sr. Solutions Architect and Zac Burns, Cloud Support Engineer & API Gateway SME Amazon API Gateway is a fully managed service that makes it easier for developers to create, publish, maintain, monitor, and secure APIs at any scale. APIs act as the front door to applications and allow […]

This post shows a number of solutions to create and share archetypes or layers across the company. With these archetypes, development teams can quickly bootstrap projects with company standards and best practices.

It’s best practice to store the output of the Lambda function in a different bucket or AWS resource than the source bucket. In cases where you need to store the processed object in the same bucket, I show three different designs to help minimize the risk of recursive invocations.

Welcome to the 15th edition of the AWS Serverless ICYMI (in case you missed it) quarterly recap. Every quarter, we share all of the most recent product launches, feature enhancements, blog posts, webinars, Twitch live streams, and other interesting things that you might have missed!

This post shows how to use Step Functions, Lambda, EventBridge, S3, API Gateway HTTP APIs, and Amazon SQS to build a serverless API poller. I show how you can deploy a sample solution, process sample payload, and store it to S3.

A serverless face blurring service can provide a simpler way to process photos in workloads with large amounts of traffic. This post introduces an example application that blurs faces when images are saved in an S3 bucket. The S3 PutObject event invokes a Lambda function that uses Amazon Rekognition to detect faces and GraphicsMagick to process the images.

Schema Management is a non-trivial challenge in federated GQL systems. The highest risk to your system availability comes with the potential of introducing breaking schema change by one of the graphlets. Your system cannot serve any requests after that. There is the problem of the delayed feedback loop for the engineers working on schema changes and the impact of schema composition during runtime on the service latency.

Testing is an essential step in the software development lifecycle. Through the different types of tests, you validate user experience, performance, and detect bugs in your code. Features should not be considered done until all of the corresponding tests are written. The distributed nature of serverless architectures separates your application logic from other concerns like […]