AWS Architecture Blog

Category: Amazon Elastic Container Service

Figure 2. Amazon Payment Services’ new architecture using Amazon SQS, Amazon ECS, and Amazon SNS

Migrating a self-managed message broker to Amazon SQS

Amazon Payment Services is a payment service provider that operates across the Middle East and North Africa (MENA) geographic regions. Our mission is to provide online businesses with an affordable and trusted payment experience. We provide a secure online payment gateway that is straightforward and safe to use. Amazon Payment Services has regional experts in payment […]

Figure 2. Control plane architecture

How Ribbon Built a Scalable, Resilient Robocall Mitigation Platform

Ribbon provides communications software, and IP and optical networking end-to-end solutions that deliver innovation, unparalleled scale, performance, and agility to service providers and enterprise. Ribbon is helping customers modernize their networks. In today’s data-hungry, 24/7 world, this equates to improved competitive positioning and business outcomes. Companies are migrating from on-premises equipment for telephony services and looking […]

Figure 2. Network Mapper scanner task workflow

Modernize your Penetration Testing Architecture on AWS Fargate

Organizations in all industries are innovating their application stack through modernization. Developers have found that modular architecture patterns, serverless operational models, and agile development processes provide great benefits. They offer faster innovation, reduced risk, and reduction in total cost of ownership. Security organizations must evolve and innovate as well. But security practitioners often find themselves […]

Figure 3. FL prototype deployed on Amazon ECS Fargate containers and AWS IoT Greengrass cores.

Applying Federated Learning for ML at the Edge

Federated Learning (FL) is an emerging approach to machine learning (ML) where model training data is not stored in a central location. During ML training, we typically need to access the entire training dataset on a single machine. For purposes of performance scaling, we divide the training data between multiple CPUs, multiple GPUs, or a […]

Figure 1. App2Container scaling architecture overview

Migrate your Applications to Containers at Scale

AWS App2Container is a command line tool that you can install on a server to automate the containerization of applications. This simplifies the process of migrating a single server to containers. But if you have a fleet of servers, the process of migrating all of them could be quite time-consuming. In this situation, you can […]

Figure 4. AWS Proton deploys service into multi-account environment through standardized continuous delivery pipeline

Simplifying Multi-account CI/CD Deployments using AWS Proton

Many large enterprises, startups, and public sector entities maintain different deployment environments within multiple Amazon Web Services (AWS) accounts to securely develop, test, and deploy their applications. Maintaining separate AWS accounts for different deployment stages is a standard practice for organizations. It helps developers limit the blast radius in case of failure when deploying updates […]

Figure 4. Approaches to migrate relational database resources

Migrate Resources Between AWS Accounts

Have you ever wondered how to move resources between Amazon Web Services (AWS) accounts? You can really view this as a migration of resources. Migrating resources from one AWS account to another may be desired or required due to your business needs. Following are a few scenarios where this may be of benefit: When you […]

Figure 1. Synchronous container applications diagram

Scaling Data Analytics Containers with Event-based Lambda Functions

The marketing industry collects and uses data from various stages of the customer journey. When they analyze this data, they establish metrics and develop actionable insights that are then used to invest in customers and generate revenue. If you’re a data scientist or developer in the marketing industry, you likely often use containers for services […]

Figure 1. On-premises and AWS queue integration for third-party services using AWS Lambda

Queue Integration with Third-party Services on AWS

Commercial off-the-shelf software and third-party services can present an integration challenge in event-driven workflows when they do not natively support AWS APIs. This is even more impactful when a workflow is subject to unpredicted usage spikes, and you want to increase decoupling and fault tolerance. Given the third-party nature of services, polling an Amazon Simple […]

Figure 1. Architectural diagram for a highly available (HA) deployment of OMERO on AWS including data ingestion options

Manage your Digital Microscopy Data using OMERO on AWS

The Open Microscopy Environment (OME) consortium develops open-source software and format standards for microscopy data. OME Remote Objects (OMERO) is an open source, image data management platform designed to support digital pathology and cellular biology studies. You can access, share, and work with various biological data. This can include histopathology, high content screening, electron microscopy, […]