AWS Compute Blog

Category: *Post Types

Grouping AWS serverless services into layers

Operating Lambda: Understanding event-driven architecture – Part 1

In the Operating Lambda series, I cover important topics for developers, architects, and systems administrators who are managing AWS Lambda-based applications. This three-part series discusses event-driven architectures and how these relate to serverless applications. Part 1 covers the benefits of the event-driven paradigm and how it can improve throughput, scale and extensibility, while also reducing […]

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Optimizing AWS Lambda cost and performance using AWS Compute Optimizer

This post is authored by Brooke Chen, Senior Product Manager for AWS Compute Optimizer, Letian Feng, Principal Product Manager for AWS Compute Optimizer, and Chad Schmutzer, Principal Developer Advocate for Amazon EC2 Optimizing compute resources is a critical component of any application architecture. Over-provisioning compute can lead to unnecessary infrastructure costs, while under-provisioning compute can […]

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Event payload example

Using self-hosted Apache Kafka as an event source for AWS Lambda

Lambda now supports self-hosted Kafka as an event source so you can invoke Lambda functions from messages in Kafka topics to integrate into other downstream serverless workflows. This post shows how to configure a self-hosted Kafka cluster on EC2 and set up the network configuration. I also cover how to set up the event source mapping in Lambda and test a function to decode the messages sent from Kafka.

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Creating a cross-region Active Directory domain with AWS Launch Wizard for Microsoft Active Directory

AWS Launch Wizard is a console-based service to quickly and easily size, configure, and deploy third party applications, such as Microsoft SQL Server Always On and HANA based SAP systems, on AWS without the need to identify and provision individual AWS resources. AWS Launch Wizard offers an easy way to deploy enterprise applications and optimize […]

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Introducing Spot Blueprints, a template generator for frameworks like Kubernetes and Apache Spark

This post is authored by Deepthi Chelupati, Senior Product Manager for Amazon EC2 Spot Instances, and Chad Schmutzer, Principal Developer Advocate for Amazon EC2 Customers have been using EC2 Spot Instances to save money and scale workloads to new levels for over a decade. Launched in late 2009, Spot Instances are spare Amazon EC2 compute […]

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Solution architecture

Using Amazon SQS dead-letter queues to replay messages

This is courtesy of Alexandre Pinhel, Specialist SA Manager, in collaboration with Guillaume Marchand and Luke Hargreaves, Solutions Architects. Amazon Simple Queue Service (Amazon SQS) is a fully managed message queuing service. It enables you to decouple and scale microservices, distributed systems, and serverless applications. A commonly used feature of Amazon SQS is dead-letter queues. The […]

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Cluster costs

Monitoring dashboard for AWS ParallelCluster

This post is contributed by Nicola Venuti, Sr. HPC Solutions Architect. AWS ParallelCluster is an AWS-supported, open source cluster management tool that makes it easy to deploy and manage High Performance Computing (HPC) clusters on AWS. While AWS ParallelCluster includes many benefits for its users, it has not provided straightforward support for monitoring your workloads. […]

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Managing your AWS Outposts capacity using Amazon CloudWatch and AWS Lambda

This post is authored by Carlos Castro, AWS Principal Solutions Architect and Kevin Wang, AWS Associate Solutions Architect Customers are excited about using AWS Outposts to bring services and capabilities available on AWS to on-premises for workloads that require low-latency, local data processing, or local data storage. As part of this, the responsibility for managing […]

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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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