AWS Compute Blog
Author: James Beswick
James Beswick leads the Serverless Developer Advocacy team at AWS. 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. Visit https://serverlessland.com for more serverless content.
Application integration patterns for microservices: Running distributed RFQs
In this blog, I present the scatter-gather pattern, which is a composite pattern based on pub-sub and point-to-point messaging channels. It also employs correlation ID and return address. I show how this is implemented in the Wild Rydes example application. You can use this integration pattern for communication in your microservices.
Archiving and replaying events with Amazon EventBridge
The new event replay feature in Amazon EventBridge enables you to automatically archive and replay events on an event bus. This can help for testing new features or new code, or hydrating services in development and test to more closely approximate a production environment.
Using Amazon MQ as an event source for AWS Lambda
Amazon MQ provide a fully managed, highly available message broker service for Apache ActiveMQ. Now Lambda supports Amazon MQ as an event source, you can invoke Lambda functions from messages in Amazon MQ queues to integrate into your downstream serverless workflows.
Choosing between AWS Lambda data storage options in web apps
In this post, I compare the capabilities and use-cases of S3, EFS, Lambda layers, and temporary storage for Lambda functions. There are benefits to each approach, as each type has different behaviors and characteristics.
Building event-driven architectures with Amazon SNS FIFO
Amazon SNS FIFO topics can simplify the design of event-driven architecture and reduce custom code in building such applications.
Optimizing the cost of serverless web applications
Web application backends are one of the most popular workload types for serverless applications. The pay-per-value model works well for this type of workload. As traffic grows, it’s important to consider the design choices and service configurations used to optimize your cost.
ICYMI: Serverless Q3 2020
Welcome to the 11th 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! In case you missed our last ICYMI, checkout what happened […]
Building resilient serverless patterns by combining messaging services
Queues, publish/subscribe services, and event buses are important parts of a resilient, well-architected serverless application. These are provided in AWS by SQS, SNS, and EventBridge.
Pay as you go machine learning inference with AWS Lambda
In this blog post, you train an XGBoost breast cancer model using Python packages installed on an Amazon EFS file system. You create an AWS Lambda function that loads the Python packages and the model from EFS file system, and perform the predictions.
Using AWS Lambda as a consumer for Amazon Kinesis
This blog post shows some of the best practices when using Lambda with Kinesis. It covers operational levers for high-throughput, low latency, single source data processing pipelines.