AWS Compute Blog

Tag: contributed

Reference architecture

Introducing message data protection for Amazon SNS

This post shows how message data protection enables a topic owner to discover and protect sensitive data that is exchanged through SNS topics. The example shows how to create a data protection policy that generates audit reports for sensitive data and blocks messages from delivery to specific subscribers if the payload contains sensitive data.

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Speeding up incremental changes with AWS SAM Accelerate and nested stacks

This blog written by Jeff Marcinko, Sr. Technical Account Manager, Health Care & Life Sciencesand Brian Zambrano, Sr. Specialist Solutions Architect, Serverless. Developers and operators have been using the AWS Serverless Application Model (AWS SAM) to author, build, test, and deploy serverless applications in AWS for over three years. Since its inception, the AWS SAM […]

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Reference architecture

Using custom consumer group ID support for AWS Lambda event sources for MSK and self-managed Kafka

This post shows how to use the new custom consumer group ID feature of the Lambda event source mapping for Amazon MSK and self-managed Kafka. This feature can be used to consume messages with Lambda starting at a specific timestamp or offset within a Kafka topic. It can also be used to consume messages from a consumer group that is replicated from another Kafka cluster using MirrorMaker v2.

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Reference architecture

Introducing bidirectional event integrations with Salesforce and Amazon EventBridge

This blog shows how to act on changes to your Salesforce data in real-time using the new Salesforce partner event source integration with EventBridge. The example demonstrated how your Salesforce data can be processed and enriched with custom AWS applications and updates sent back to Salesforce using EventBridge API Destinations.

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actual cost variation for different batch sizes for 10 million messages.

Estimating cost for Amazon SQS message processing using AWS Lambda

You can use Lambda functions to handle fully managed asynchronous processing of SQS messages. Estimating the cost and optimal setup depends on leveraging the various configurations of SQS and Lambda functions. The cost estimator tool presented in this blog should help you understand these configurations and their impact on the overall cost and performance of the Lambda function-based messaging solutions.

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Introducing tiered pricing for AWS Lambda

This blog post is written by Heeki Park, Principal Solutions Architect, Serverless. AWS Lambda charges for on-demand function invocations based on two primary parameters: invocation requests and compute duration, measured in GB-seconds. If you configure additional ephemeral storage for your function, Lambda also charges for ephemeral storage duration, measured in GB-seconds. AWS continues to find […]

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Using certificate-based authentication for iOS applications with Amazon SNS

This blog post is written by Yashlin Naidoo, Arnav Thakur, Kim Read, Guilherme Silva. Amazon SNS enables you to send notifications to a mobile push endpoint using a platform application endpoint by dispatching the notification on your application’s behalf. Push notifications for iOS apps are sent using Apple Push Notification Service (APNs). To send push […]

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Architecture diagram

Using AWS Lambda to run external transactions on Db2 for IBM i

In this blog post, you learn how to run external transactions securely on Db2 for IBM i databases using a combination of Amazon ECR and AWS Lambda. By using Docker to package the driver, forwarder, and custom queries, you can execute transactions from Lambda, allowing modern architectures to interface directly with Db2 workloads. Get started by cloning the GitHub repository and following the deployment instructions.

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