AWS Compute Blog

architecture diagram

Publishing messages in batch to Amazon SNS topics

This post is written by Heeki Park (Principal Solutions Architect, Serverless Specialist), Marc Pinaud (Senior Product Manager, Amazon SNS), Amir Eldesoky (Software Development Engineer, Amazon SNS), Jack Li (Software Development Engineer, Amazon SNS), and William Nguyen (Software Development Engineer, Amazon SNS). Today, we are announcing the ability for AWS customers to publish messages in batch […]

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Modernizing deployments with container images in AWS Lambda

This post is written by Joseph Keating, AWS Modernization Architect, and Virginia Chu, Sr. DevSecOps Architect. Container image support for AWS Lambda enables developers to package function code and dependencies using familiar patterns and tools. With this pattern, developers use standard tools like Docker to package their functions as container images and deploy them to […]

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The solution components and workflow.

Monitoring delay of AWS Batch jobs in transit before execution

This post is written by Nikhil Anand, Solutions Architect  AWS Batch enables developers, scientists, and engineers to easily and efficiently run hundreds of thousands of batch processing jobs on AWS. With AWS Batch you no longer have to install and manage batch computing software or server clusters used to run your jobs. This lets you […]

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Image shows Flink application deployment architecture with Job Manager, Task Manager, Scheduler, Data Flow Graph, and client.

Optimizing Apache Flink on Amazon EKS using Amazon EC2 Spot Instances

This post is written by Kinnar Sen, Senior EC2 Spot Specialist Solutions Architect Apache Flink is a distributed data processing engine for stateful computations for both batch and stream data sources. Flink supports event time semantics for out-of-order events, exactly-once semantics, backpressure control, and optimized APIs. Flink has connectors for third-party data sources and AWS […]

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Lambda poller

Understanding how AWS Lambda scales with Amazon SQS standard queues

This post explores Lambda’s scaling behavior when subscribed to SQS standard queues. It walks through several ways to scale faster and maximize Lambda throughput when needed. This includes increasing the memory allocation for the Lambda function, increasing batch size, catching errors, and making configuration changes.

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AWS Fault Injection Simulator start screen in AWS Management Console

Implementing interruption tolerance in Amazon EC2 Spot with AWS Fault Injection Simulator

This post is written by Steve Cole, WW SA Leader for EC2 Spot, and David Bermeo, Senior Product Manager for EC2. On October 20, 2021, AWS released new functionality to the Amazon Fault Injection Simulator that supports triggering the interruption of Amazon EC2 Spot Instances. This functionality lets you test the fault tolerance of your […]

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Token-based authentication for iOS applications with Amazon SNS

This post is co-written by Karen Hong, Software Development Engineer, AWS Messaging. To use Amazon SNS to send mobile push notifications, you must provide a set of credentials for connecting to the supported push notification service (see prerequisites for push). For the Apple Push Notification service (APNs), SNS now supports using token-based authentication (.p8), in […]

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Implementing header-based API Gateway versioning with Amazon CloudFront

This post is written by Amir Khairalomoum, Sr. Solutions Architect. In this blog post, I show you how to use Lambda@Edge feature of Amazon CloudFront to implement a header-based API versioning solution for Amazon API Gateway. Amazon API Gateway is a fully managed service that makes it easier for developers to create, publish, maintain, monitor, […]

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