Author: James Beswick

In this post, I explain the all-time leaderboard logic in the Alleycat application. This is an asynchronous, eventually consistent process that checks batching of incoming records for new personal records. This uses Kinesis Data Firehose to provide a zero-administration way to deliver and process large batches of records continuously.

In this post, I explain the all-time leaderboard logic in the Alleycat application. This is an asynchronous, eventually consistent process that checks batching of incoming records for new personal records. This uses Kinesis Data Firehose to provide a zero-administration way to deliver and process large batches of records continuously.

Beginning July 19, 2021, the Java 8 managed runtime in AWS Lambda will migrate from the current Open Java Development Kit (OpenJDK) implementation to the latest Amazon Corretto implementation.

This post focuses on ingesting data into Kinesis Data Streams. I explain the two approaches used by the Alleycat frontend and the simulator application and highlight other approaches that you can use. I show how messages are routed to shards using partition keys. Finally, I explore additional factors to consider when ingesting data, to improve efficiency and reduce cost.

Using resources such as NAT Gateways and VPC endpoints with PrivateLink, you can ensure that your data remains secure while also granting access to resources such as Lambda to help you create a Kafka consumer application. This post provides some tips to help you set up a Lambda function using Kafka as a trigger. It also explains various options available to send data securely.

This post describes the SMS sandbox in SNS. It shows how you can configure the SMS sandbox features, quotas, and how you can move out of the sandbox. 

In this post, I introduce the Alleycat racing application for processing streaming data. I explain the virtual racing logic and provide an overview of the application architecture. I summarize the deployment process for the different parts of the solution and show how to test the frontend once the deployment is complete.

Using Amazon EventBridge, you can now route events between different event buses in the same Region and same AWS account. Combined with the ability to route events cross-Region, this provides you with significant flexibility in routing events in your workloads. This blog post explains how to use event routing and walks through ways you can […]

This post is the final part in a 3-part series on performance optimization in Lambda. The Lambda service makes frequent performance improvements in the underlying hardware, software, and architecture of the service. This post identifies the parts of the Lambda lifecycle where developers can make the most impact on performance.

In this post, I show how the new shared memory support in AWS Batch is able to improve performance while decreasing the latency of the intra-node communication. This performance gain can also lower the cost of running jobs overall.