AWS Architecture Blog

Category: Compute

Figure 1

Managing Asynchronous Workflows with a REST API

While building REST APIs, architects often discover that they have particular operations that have to run in the background outside of the request processing scope. Some of these may be “fire and forget”—there is no need to report back to the client—for example, when initiating a shipment. For others, the client may need a response, […]

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Figure 1. Current Architecture with improved resiliency and standardized observability

Journey to Adopt Cloud-Native Architecture Series: #3 – Improved Resilience and Standardized Observability

September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. In the last blog, Maximizing System Throughput, we talked about design patterns you can adopt to address immediate scaling challenges to provide a better customer experience. In this blog, we talk about architecture patterns to improve system resiliency, why observability […]

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Backup and restore DR strategy

Disaster Recovery (DR) Architecture on AWS, Part II: Backup and Restore with Rapid Recovery

In a previous blog post, I introduced you to four strategies for disaster recovery (DR) on AWS. These strategies enable you to prepare for and recover from a disaster. By using the best practices provided in the AWS Well-Architected Reliability Pillar whitepaper to design your DR strategy, your workloads can remain available despite disaster events […]

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CloudFront events that can trigger Lambda@Edge functions

Dynamic Request Routing in Multi-tenant Systems with Amazon CloudFront

In this blog post, we will share how OutSystems designed a globally distributed serverless request routing service for their multi-tenant architecture. This will provide you ways to benefit from a managed solution that’s scalable and requires a low operational effort. Namely, we explain how to select the origin serving an HTTP/S request using Lambda@Edge, including […]

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Current architecture with improved system resiliency

Journey to Adopt Cloud-Native Architecture Series: #2 – Maximizing System Throughput

In the last blog, Preparing your Applications for Hypergrowth, we talked about hypergrowth and the technical challenges it presents to companies. As a reminder, we presented an example ecommerce company running a monolithic application on Elastic Compute Cloud (Amazon EC2). This application connects with Amazon Relational Database Service (Amazon RDS). The company recently experienced a […]

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Architecture: Recursive Scaling using Amazon SQS and Amazon ECS Fargate cluster

Design Pattern for Highly Parallel Compute: Recursive Scaling with Amazon SQS

Scaling based on Amazon Simple Queue Service (SQS) is a commonly used design pattern. At AWS Professional Services, we have recently used a variant of this pattern to achieve highly parallel computation for larger customers. In fact, any use case with a tree-like set of entities can use this pattern. It’s useful in a workflow […]

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Two data center model for on-premises resilience strategies

IT Resilience Within AWS Cloud, Part II: Architecture and Patterns

In Part I of this two-part blog, we outlined best practices to consider when building resilient applications in hybrid on-premises/cloud environments. We also showed you how to adapt mindsets and organizational culture. In Part II, we’ll provide technical considerations related to architecture and patterns for resilience in AWS Cloud. Considerations on architecture and patterns The […]

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DR Strategies

Disaster Recovery (DR) Architecture on AWS, Part I: Strategies for Recovery in the Cloud

As lead solutions architect for the AWS Well-Architected Reliability pillar, I help customers build resilient workloads on AWS. This helps them prepare for disaster events, which is one of the biggest challenges they can face. Such events include natural disasters like earthquakes or floods, technical failures such as power or network loss, and human actions […]

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Figure 1. RStudio/Shiny Open Source Deployment on AWS Serverless Infrastructure

Scaling RStudio/Shiny using Serverless Architecture and AWS Fargate

Data scientists use RStudio server as an Integrated Development Environment (IDE) to develop, publish, and share interactive web dashboards built on Shiny Server. Although it is possible to use virtual server infrastructure in the cloud to run R workloads, containerization offers significant operational benefits. Migrating R workloads into a serverless model in AWS, customers can […]

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Pupeteer image

Field Notes: Scaling Browser Automation with Puppeteer on AWS Lambda with Container Image Support

This post is contributed by Bill Kerr, SHI and Raj Seshadri, Global SA Lead, AWS. Imagine you are launching a brand new website selling goods and services. You are expecting a huge amount of traffic due to the seasonality of the product. You would like to test 100K simultaneous connections to the website and make […]

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