AWS Compute Blog

James Beswick

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.

Walkthrough architecture

Simplifying cross-account access with Amazon EventBridge resource policies

This post shows you how to use the new features Amazon EventBridge resource policies that make it easier to build applications that work across accounts.  Resource policies provide you with a powerful mechanism for modeling your event buses across multiple accounts, and give you fine-grained control over EventBridge API invocations.

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Example architecture

Getting started with RPA using AWS Step Functions and Amazon Textract

This post is courtesy of Joe Tringali, Solutions Architect. Many organizations are using robotic process automation (RPA) to automate workflow, back-office processes that are labor-intensive. RPA, as software bots, can often handle many of these activities. Often RPA workflows contain repetitive manual tasks that must be done by humans, such as viewing invoices to find […]

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Backend architecture

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.

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Optimizing costs with the AWS Lambda Power Tuning tool

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.

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