AWS Compute Blog
Author: James Beswick
James Beswick is a Principal Developer Advocate for the AWS Serverless Team. He works with AWS's developer customers to understand how serverless technologies can drastically change the way they think about building and running applications at massive scale with minimal administration overhead. Follow James Beswick on Twitter: https://twitter.com/jbesw. Visit https://serverlessland.com for more serverless content.
Building an API poller with AWS Step Functions and AWS Lambda
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.
Creating a serverless face blurring service for photos in Amazon 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.
Managing federated schema with AWS Lambda and Amazon S3
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.
Building federated GraphQL on AWS Lambda
A single, highly discoverable, and well-documented backend endpoint enabled our clients to experiment with the data available in the graph. We were able to clean up the backend API layer, introduce clear ownership boundaries, and give our client powerful tools to speed up their development cycle.
Building a serverless GIF generator with AWS Lambda: Part 2
Part 2 of this blog post expands on some of the advanced topics around scaling Lambda in parallelized workloads. It explains how the asynchronous invocation mode of Lambda scales and different ways to scale the worker Lambda function.
Building a serverless distributed application using a saga orchestration pattern
This post showed how to implement the saga orchestration pattern using API Gateway, Step Functions, Lambda, DynamoDB, and .NET Core 3.1. This can help maintain data integrity in distributed transactions across multiple services. Step Functions makes it easier to implement the orchestration in the saga pattern.
Increasing performance of Java AWS Lambda functions using tiered compilation
Tiered compilation stopping at level 1 reduces the time the JVM spends optimizing and profiling your code. This could help reduce start up times for Java applications that require fast responses, where the workload doesn’t meet the requirements to benefit from profiling.
Building a serverless GIF generator with AWS Lambda: Part 1
Many video streaming services show GIF animations in the frontend when users fast forward and rewind throughout a video. This helps customers see a preview and makes the user interface more intuitive. Generating these GIF files is a compute-intensive operation that becomes more challenging to scale when there are many videos. Over a typical 2-hour […]
Sending mobile push notifications and managing device tokens with serverless applications
This blog shows how to deploy a serverless solution for validating and managing SNS platform endpoints and tokens. To publish push notifications successfully, use SNS to check the endpoint attribute and ensure it is mapped to the correct token and the endpoint is enabled.
Adding resiliency to AWS CloudFormation custom resource deployments
This blog post demonstrates how to use SQS and Lambda to add resiliency to CloudFormation custom resources deployments. This solution can be customized for use cases where CloudFormation stacks have a dependency on a custom resource.