AWS Architecture Blog

Category: AWS Fargate

Architecture for wind turbine digital twin solution

Physics on AWS: Optimizing wind turbine performance using OpenFAST in a digital twin

Wind energy plays a crucial role in global decarbonization efforts by generating emission-free power from an abundant resource. In 2022, wind energy produced 2100 terawatt-hours (TWh) globally, or over 7% of global electricity, with expectations to reach 7400 TWh by 2030. Despite its potential, several challenges must be addressed to help meet grid decarbonization targets. […]

ITS’ microservice architecture, using AWS

ITS adopts microservices architecture for improved air travel search engine

Internet Travel Solutions, LLC (ITS) is a travel management company that develops and maintains smart products and services for the corporate, commercial, and cargo sectors. ITS streamlines travel bookings for companies of any size around the world. It provides an intuitive consumer site with an integrated view of your travel and expenses. ITS had been […]

Solution architecture for S3 Glacier object restore

Genomics workflows, Part 4: processing archival data

Genomics workflows analyze data at petabyte scale. After processing is complete, data is often archived in cold storage classes. In some cases, like studies on the association of DNA variants against larger datasets, archived data is needed for further processing. This means manually initiating the restoration of each archived object and monitoring the progress. Scientists […]

Workflow manager for genomics workflows

Genomics workflows, Part 3: automated workflow manager

Genomics workflows are high-performance computing workloads. Life-science research teams make use of various genomics workflows. With each invocation, they specify custom sets of data and processing steps, and translate them into commands. Furthermore, team members stay to monitor progress and troubleshoot errors, which can be cumbersome, non-differentiated, administrative work. In Part 3 of this series, […]

Deployment governance with central pattern library

Accelerate deployments on AWS with effective governance

Amazon Web Services (AWS) users ask how to accelerate their teams’ deployments on AWS while maintaining compliance with security controls. In this blog post, we describe common governance models introduced in mature organizations to manage their teams’ AWS deployments. These models are best used to increase the maturity of your cloud infrastructure deployments. Governance models […]

Let's Architect

Let’s Architect! Using open-source technologies on AWS

With open-source technology, authors make software available to the public, who can view, use, or change it and add new features or support new capabilities. Open-source technology promotes collaboration across different teams, organizations, and people because the process often includes different perspectives and ideas, which typically results a stronger solution. It can be difficult to […]

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. 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 2. Containerized application for ingestion and Amazon Kinesis for format conversion

Designing a High-volume Streaming Data Ingestion Platform Natively on AWS

The total global data storage is projected to exceed 200 zettabytes by 2025. This exponential growth of data demands increased vigilance against cybercrimes. Emerging cybersecurity trends include increasing service attacks, ransomware, and critical infrastructure threats. Businesses are changing how they approach cybersecurity and are looking for new ways to tackle these threats. In the past, […]