AWS Reference Architecture Diagrams

Aerospace / Geospatial

• Aerospace Virtual Desktop Infrastructure (VDI) and High Performance Computing (HPC) on AWSThis architectural diagram shows the process for running computer-aided engineering (CAE) computations and visualizations in the cloud with desktop access.
• Connected Aircraft Solution ArchitectureThis reference architecture shows how you can onboard flight data collection for fleet-wide analytics and predictive maintenance using AWS IoT Greengrass, Amazon S3, Amazon Managed Service for Apache Flink, and Amazon SageMaker AI.
• Electro-Optical Imagery on AWSThis diagram demonstrates how to extract, process, and store electro-optical satellite imagery by using AWS.
• Enterprise Esri ArcGIS Platform on AWSA highly available Esri ArcGIS deployment on AWS using Amazon Route 53, Amazon CloudFront, Amazon EC2, Amazon RDS, Amazon EFS, Amazon S3, and Amazon DynamoDB.
• Flight Information Management System (FIMS)This architecture enables you to manage and operate services required for unmanned aerial systems on AWS.
• Geofencing with Amazon Location Service and AWS IoTTrack high-value equipment and generate geofence alerts by integrating Amazon Location Service with AWS IoT Core and Amazon EventBridge.
• PTC Creo on Amazon WorkSpaces Applications: Amazon EC2 File Share for UsersThis architecture gives you a blueprint for providing secure access to PTC Creo hosted in the AWS Cloud using Amazon S3 for the private user folder, and a file share folder based on Amazon EC2 for collaboration with other users before committing their computer-aided designs (CADs) into PTC Windchill product lifecycle management (PLM).
• Satellite Operator Development and Test ResiliencyAchieve development and test resiliency for non-critical satellite operator workloads by using separate connections that terminate on separate devices in one location.
• Satellite Operator High ResiliencyAchieve high resiliency for satellite operator workloads by having one connection terminating at multiple locations.
• Satellite Operator Maximum ResiliencyAchieve maximum resiliency for satellite operator workloads by separating connections that terminate on separate devices in more than one location.
• Video Stream from Cloud to Satellite and InternetBuild a cloud-based video headend to distribute high-quality video content over satellite and internet by using AWS Elemental media services.

Agriculture

• Connected Home: Machine Learning at the EdgeRun machine learning inference on IoT home devices by using AWS IoT Greengrass and Amazon SageMaker.
• Edge Inference for AgricultureEnable edge inference in rural and remote agricultural environments by using AWS IoT Greengrass and Amazon SageMaker Neo.
• Fleet Management Solution for Connected FarmThis architecture enables you to create an intelligent fleet management solution for farming, using data from Internet of Things (IoT) sensors and cameras at strategic locations and in assets such as tractors and combine harvesters. Increasingly, these assets are equipped with multiple sensors for monitoring environmental conditions, hazards, and detecting changes in operations.
• Livestock Counting at the EdgeThis architecture enables you to build a near real-time, automated counting application for livestock. Use Amazon SageMaker and AWS IoT Greengrass to build and deploy a livestock counting application at the edge.
• Smart Farm on AWSThis Connected Farm reference architecture enables sensors, computer vision, and edge inference in agriculture by focusing on ensuring scalability, elasticity, and a responsiveness for each operation's growing and changing needs.

Automotive

• Automotive Call Center ArchitectureThis architecture enables you to build an automotive call center solution as part of connected vehicle platform to enhance customer safety with emergency (eCall) and breakdown (bCall) call services using Connect Customer.
• AWS Connected Vehicle Reference ArchitectureUse AWS IoT Core to modernize workloads, process vehicle data, and secure your connected vehicles.
• Electric Vehicle Charging OCPP HandlerThis reference architecture demonstrates how to build a highly scalable, low-latency electric vehicle (EV) charge point operator system based on the EV industry standard, Open Charge Point Protocol (OCPP), using AWS services like AWS IoT Core and AWS Lambda.
• Camera as a ServiceUse IoT-enabled cameras to generate live video feed and machine learning inference by using Amazon Kinesis Video Streams, Amazon Rekognition, and Amazon EKS.
• Connected Mobility Data LakeUse this reference architecture to create connected mobility data products and democratize data access with a serverless data mesh architecture.
• Connected Mobility PlatformThis architecture addresses three elements of the connected platform: in-vehicle, external infrastructure, and backend services on the cloud.
• Electric Vehicle Charging Station Management System with AWS IoTBuild charging station management software for electric vehicles.
• Predictive Modeling for Automotive RetailPredict fine-grained return on investment (ROI) for automotive sales incentives by using Amazon SageMaker, AWS Glue, and AWS Step Functions.

Contact Center / Connect Customer

• Architecture for Unified CommunicationsThis reference architecture diagram shows how to deploy the Avaya Aura Unified Communications platform on AWS.
• Cloud-native Contact Center for Multilingual IT Service DeskThis reference architecture diagram shows how to modernize the IT service desk with an intelligent, omnichannel contact center by using Connect Customer.
• Enable Digital Messaging Channels in Connect CustomerThis reference architecture diagram shows how to add support for digital messaging channels to your contact center by using Connect Customer Chat's Message Streaming APIs and serverless services on AWS.
• Enable Two-Way SMS in Connect CustomerThis reference architecture diagram shows how to add SMS support to your contact center by using Connect Customer Chat's Message Streaming APIs and Amazon Pinpoint two-way SMS functionality.
• Retail Customer Service Contact Center Using Connect CustomerThis reference architecture diagram shows how retailers can simplify and transform their customer service channel with NLP and automation by using Connect Customer.

Data & Analytics

• Alfresco Digital Business Platform on AWSDeploy a highly available Alfresco Digital Business Platform on AWS with content services, process services, and search components.
• Amazon OpenSearch Trending Queries with AWS Glue and Amazon BedrockShows how to identify trending search queries using Amazon OpenSearch Service, AWS Glue, and Amazon Bedrock.
• Automated Archival for Amazon RedshiftShows how to automate the periodic data archival process for an Amazon Redshift database with cold data available instantly through Amazon Redshift Spectrum.
• Building a Unified Catalog with Amazon DataZoneShows how to build a unified data catalog with Amazon DataZone to break down data silos.
• Change Data Capture Using AWS Database Migration ServiceShows how to use AWS Database Migration Service for change data capture across migration, streaming, and ETL upsert architectures.
• Data Mesh with Amazon DataZoneShows how to build a data mesh architecture using Amazon DataZone.
• Database DevOps on AWSShows how to automate database changes as part of DevOps practice on AWS.
• DynamoDB Global Replication with Data LocalizationShows how to replicate DynamoDB data globally while complying with data localization mandates.
• Expose Your Data Lake as a GraphQL APIShows how to build a data lake using AWS Lake Formation and share it as a self-documented GraphQL API with a reactive CI/CD pipeline.
• Fast Backup and Restore of TiDB on AWSShows how to perform fast backup and restore of TiDB on AWS using EBS snapshots.
• Managing Inserts and Upserts in a Serverless Data LakeShows how to use Apache Hudi on Amazon EMR to process inserts and updates to datasets in Amazon S3 to build a cost-effective and scalable data lake.
• Migration from MongoDB to Amazon DocumentDBShows how to migrate from MongoDB to Amazon DocumentDB using offline, online, and hybrid approaches.
• Modern Data Platform Using AWS and SnowflakeShows how to build an end-to-end modern data analytics platform using AWS and Snowflake.
• Modern Data Platform Using AWS and TeradataShows how to build a modern data platform using AWS and Teradata VantageCloud.
• Multi-Region GraphQL API with CloudFrontShows how to reduce latency for end users while increasing application availability by providing GraphQL API endpoints in multiple AWS Regions.
• Operational Analytics Pipeline on AWSPerform operational analytics in batch and real time using log data from operational sources on AWS.
• Oracle Data Workload Migration to AWS CloudMigrate Oracle and non-Oracle workloads to Amazon Aurora and Snowflake Data Warehouse on AWS.
• Paginated Search with Purpose-Built DatabasesShows how to create a searchable, paginated list on domain aggregates from purpose-built databases with a step transformation and SQL queries.
• Running SAS Grid on AWSDeploy SAS Grid with FSx for Lustre storage and Amazon EC2 compute on AWS.
• Search-Backed ApplicationsShows how to add or improve search for an existing application using Amazon OpenSearch Service.
• Securely Access TiDB Using AWS PrivateLinkShows how to securely access TiDB Cloud using AWS PrivateLink.
• Synchronous Data Mesh for GraphQL QueriesShows how to use an API composition pattern to build a modern, distributed, and decentralized data architecture for GraphQL queries.
• Transportation and Logistics Data LakeShows how to break data silos and create a single repository for transportation and logistics data from multiple sources using a fully managed, scalable architecture.
• Unified Data Access and Governance in a Data MeshShows how to use PrivaceraCloud on AWS for unified data access governance in a data mesh.

DevOps & CI/CD

• AWS Distributed Perforce ArchitectureShows how to deploy a hybrid multi-Region Perforce Helix Core architecture on AWS.
• iOS Build and Test Pipeline Using JenkinsShows how to automate building and testing iOS apps by using Jenkins , Amazon Elastic Compute Cloud Mac instances, and AWS Device Farm.
• iOS CI/CD Build and Test PipelineShows how to automate building and testing iOS apps by using Amazon API Gateway, Amazon Elastic Compute Cloud Mac instances, and AWS Device Farm.
• Pull Request Continuous IntegrationShows how to build a continuous integration pipeline for Git pull requests by using AWS CodeBuild, Amazon API Gateway, and AWS Lambda.
• Unity Build Pipeline: iOS Games on AWS CloudShows how to build Unity -based games for iOS in the AWS Cloud with Jenkins by using a two-stage pipeline on Amazon Elastic Compute Cloud Spot Instances and Amazon Elastic Compute Cloud Mac Instances.
• AWS DevOps Monitoring DashboardThis architecture automates the process of ingesting, analyzing, and visualizing continuous integration/continuous delivery (CI/CD) metrics.

Digital Marketing

• Embedded ML models using Amazon SageMaker on AWS MarketplaceThis architecture creates an environment where a buyer can consume a seller’s application into their own virtual private cloud (VPC), protecting the buyer’s data privacy while also protecting the seller’s application intellectual property through isolated network access controls and subscription authorization.
• Hosting Adobe Experience Manager on AWSDeploy Adobe Experience Manager on AWS by using Amazon Elastic Compute Cloud, Amazon Simple Storage Service, Amazon CloudFront, and AWS Lambda.
• IBM DataStage on AWS with IBM CP4DThis architecture shows how to build a modern, cloud-native, secure data integration solution to collect, transform, enrich, and deliver data at any scale and complexity.
• Knowledge Graphs and GraphRAG with AWS and Neo4jThis reference architecture demonstrates how AWS services and Neo4j can be used to create knowledge graphs. Those graphs can then be used in a GraphRAG architecture.
• OpenText InfoArchive Architecture Using Amazon EKS and Amazon RDSRun OpenText InfoArchive on Amazon Elastic Kubernetes Service (Amazon EKS) and Amazon Relational Database Service (Amazon RDS).
• Oracle E-Business Suite on AWSDeploy Oracle E-Business Suite on AWS with high availability for the database and application tier.
• Oracle PeopleSoft on AWSThis architecture shows how to deploy a highly available and resilient Oracle PeopleSoft production environment on AWS.
• Security-rich API Management Using IBM API Connect on AWSTake advantage of agility, security, and elasticity to create, manage, secure, and socialize all of your APIs across the cloud in order to power digital applications with a market-leading and scalable API management solution.
• Mobile Apps for Location-based EngagementAdding location awareness to mobile apps enables you to offer an enhanced experience, such as sending real-time messages and information based on proximity.

eCommerce & Retail / CPG

• Adobe Commerce and Magento Open Source on AWSDeploy Adobe Commerce or Magento Open Source on AWS by using Amazon Aurora, Amazon ElastiCache, and Amazon OpenSearch Service.
• Cloud Point-of-Sale (POS) System on AWS for CPGBuild a cloud-based point-of-sale (POS) system on AWS for consumer packaged goods (CPG) direct-to-consumer store sales.
• Consumer Packaged Goods Data MeshBuild a data mesh for consumer packaged goods (CPG) by using AWS Lake Formation, AWS Glue, and Amazon Neptune.
• Consumer Review Sentiment Analysis for CPGAnalyze consumer review sentiment in near real time by using Amazon Comprehend, Amazon Translate, and AWS Lambda.
• Detect Malware Threats Using AWS Transfer FamilyUse this architecture to securely share files over SFTP, FTP, and FTPS within many business-to-business (B2B) workflows across various industries including retail, advertising, and regulated environments like healthcare and financial services.
• Digital River for CPG, B2B, and DTC on AWSManage online commerce activities for CPG companies by using Digital River on AWS.
• Guidance for Contextual Intelligence for AdvertisingBuild a contextual advertising solution on AWS by using machine learning to reach audiences without third-party cookies.
• Guidance for Driver-based Demand Planning with o9Architectural options for ingesting data and using AWS services in an o9 demand planning solution.
• Improve Demand Forecasting to Boost Sales on Amazon.comSource vendor performance data from Amazon.com and use Amazon Forecast to predict future demand.
• Intelligent Supply Chain - RetailThis architecture shows a track and trace use case for a generic retailer using AWS services.
• Microservices-based Headless DTC Website with Infosys Equinox on AWSBuild a microservices-based headless direct-to-consumer website with Infosys Equinox on AWS.
• Modern Data Analytics Reference Architecture on AWSThis architecture enables customers to build data analytics pipelines using a Modern Data Analytics approach to derive insights from the data.
• o9 Demand Planning for CPGIngest data and use AWS services in an o9 demand planning solution for the CPG industry.
• Oracle Commerce Lift-and-Shift to AWSMigrate Oracle Commerce to AWS by using a lift-and-shift approach with multiple Availability Zones for high availability.
• Personalization and Predictive Consumer Engagement for CPGDeliver personalized consumer experiences and predictive engagement by using Amazon Personalize and Amazon Pinpoint for consumer packaged goods (CPG) companies.
• Personalization in Magento eCommerce on AWS for CPGDeploy containerized Magento on AWS with personalization by using Amazon Personalize, Amazon Elastic Kubernetes Service, and Amazon Aurora.
• Powering Multiple Contact Centers with GenAI Using Amazon BedrockMany contact center operators have a hybrid setup of using multiple vendors, where each contact center has its own artificial intelligence and machine learning (AI/ML) support. This architecture is designed to consolidate this support to a single AI/ML stack for multiple contact center instances, powering multiple contact centers by a single large language model (LLM) using Amazon Bedrock, thus reducing cost and improving efficiency.
• Response Planning on AWS using AeraExplore options for ingesting data and using AWS services in an Aera Response Planning solution.
• Retail Customer Service Contact CenterBuild a next-generation customer service contact center for retail by using Connect Customer Customer.
• Revenue Growth Management System on AWSBuild a revenue growth management system on AWS for demand shaping, attribution, and marketing mix.
• Smart Grocery with Scan-and-Go, Computer Vision, and IoTBuild a smart grocery solution with Scan-and-Go, computer vision, and IoT on AWS.
• WebSphere Commerce on AWSLift and shift legacy ecommerce from on-premises to AWS by using Amazon CloudFront, AWS WAF, and Elastic Load Balancing.

Education

• Hybrid Remote Proctoring SolutionMonitor students during remote or in-person exams by using AI assistance to highlight prohibited objects and behaviors.
• Moodle for High Availability on AWSThis architecture helps you implement Moodle, an open source learning management system that supports distributed online learning on AWS. Moodle can scale flexibly to optimize cost and maximize availability.
• Moodle Reference ArchitectureMoodle is a learning platform designed to provide educators, administrators and learners with a single robust, secure, and integrated system to create personalized learning environments. Moodle learning management system (LMS) on AWS can be deployed using architecture and can scale up on demand. Separate the application and data layers for elasticity and security.
• Open edX on AWSOpen edX is an open-source, distributed learning platform that, when implemented on AWS, can scale flexibly to optimize cost and maximize availability.
• Plagiarism Detection ArchitectureThis architecture helps you create a plagiarism-detection service using AWS Step Functions, AWS Lambda, Amazon SageMaker AI, and OpenSearch Service.
• Serverless Web Hosting on AWS App RunnerThis reference architecture details how to run serverless, containerized web applications without the need to provision or manage infrastructure.

Electronics / EDA / HPC

• Active/Active and Active/Passive Configurations in AWS Direct ConnectThis architecture enables you to build configuration with Virtual Interfaces (VIFs) for maximum resiliency.
• Amazon VPC Lattice Reference ArchitecturesAmazon VPC Lattice is an application layer service that consistently connects, monitors, and secures communications between your services. This series shows different connectivity patterns for multi-AWS account environments.
• Cloud Bursting EDA with Amazon FSx for NetApp ONTAPEnable EDA cloud bursting with bidirectional caching of job data by using Amazon FSx for NetApp ONTAP and FlexCache volumes.
• Cross-Account Amazon EC2 Status Monitoring for HPC ClustersBuild a mechanism for cross-account Amazon EC2 status monitoring for HPC clusters on AWS.
• DescribeForMe Web AppThe DescribeForMe web app uses the AWS Cloud to help the visually impaired review images.
• EDA on AWS with IBM Spectrum LSFRun Electronic Design Automation (EDA) workloads on AWS with IBM Spectrum LSF Resource Connector for dynamic compute provisioning.
• High Performance Computing on AWSThis architecture enables you to deploy and burst a suite of high performance computing (HPC) cases to the cloud directly from the desktop.
• LUMINAI Refinery Advisor on AWSThis reference architecture illustrates a highly scalable deployment of Beyond Limits’ LUMINAI Refinery Advisor on AWS using Amazon Elastic Container Service (Amazon ECS), Amazon Aurora, Amazon MQ, and other AWS managed services.
• Protegrity Data Protection for Amazon S3 and SnowflakeThis architecture shows how Protegrity on AWS can be used to protect sensitive data in Amazon S3 and then show the same data as clear text based on permissions from Snowflake.
• Remote Desktop for Electronic Design AutomationLaunch Xilinx Vivado Design Suite by using NICE DCV remote desktop on AWS with the FPGA Developer AMI.
• Routing Scenarios with AWS Direct Connect SiteLinkWith Direct Connect SiteLink, route traffic between Amazon Web Services (AWS) Direct Connect locations through the AWS global network backbone without traversing any AWS Region.
• Scaling Synopsys SiliconSmart on AWSScale 100,000 or more concurrent Synopsys SiliconSmart jobs by using Scale-Out Computing on AWS with Amazon EC2 Spot Fleet.
• Semiconductor and Electronics on AWSUse AWS services and data movement options for semiconductor design workflows, including compute, storage, security, and collaboration.
• Traffic Segmentation Options in AWS Direct ConnectThis architecture shows traffic segmentation options in Direct Connect, include using several private VIFs in the VPC or Direct Connect gateway, using AWS Transit Gateway Connect attachments over transit VIF, and using AWS Site-to-Site VPN connections over transit VIF.
• Wafer Inspection with Machine LearningUse computer vision wafer inspection to accelerate defect detection and reduce human error, improving fab productivity.
• Web3 Decentralized Applications on AWSUse this architecture as a reference for developing static hosted web applications that communicate with a blockchain network through an Amazon Managed Blockchain node.

Energy & Utilities

• Advanced Distribution Management System on AWSDeploy a resilient and highly available ADMS on AWS Outposts to optimize performance of complex electricity distribution networks.
• BES Cyber System Information on AWSBuild a secure extension of an Operations Technology data center into AWS for ingestion and analytics of Bulk Electric System asset data with NERC CIP compliance.
• Data Lake Architecture for Renewable EnergyBuild a renewable energy data lake with telemetry data from IoT devices and business application data for near real-time monitoring.
• DERMS on AWS for UtilitiesRun your Distributed Energy Resource Management Systems (DERMS) on AWS to monitor, forecast, and control distributed energy resources by using Amazon SageMaker AI, Amazon Forecast, and Amazon Kinesis.
• HPC Simulation Workload for Renewable Energy DataArchitect on-premises renewable energy assets with best practices for IoT ingestion, high performance computing (HPC) simulation, and dashboarding by using AWS IoT Core, AWS ParallelCluster, and Amazon QuickSight.
• Meter Data Analytics for UtilitiesBuild modern meter data analytics solutions to improve meter data availability for operational and customer insights by using Amazon Kinesis, AWS Glue, Amazon SageMaker AI, and Amazon Timestream.
• Near Real-Time IoT Analytics with AWS and IBM CP4DThis architecture demonstrates how to build near real-time IOT analytics with machine learning by using IBM Cloud Pak for DATA (CP4D) running on AWS.
• Power Grid Simulation with High Performance Computing on AWSRun large-scale grid simulations with high performance computing (HPC) on AWS and use cloud-native services for advanced analytics.
• Predictive Equipment Health for UtilitiesBuild a field-to-cloud solution for ingesting near-real-time data from utility assets and predicting equipment health by using AWS IoT SiteWise, Amazon SageMaker AI, and Amazon Forecast.
• Scale Geospatial Data Lakes on AWSThis reference architecture shows you how to build scalable geospatial data repositories on AWS.
• Utility Volt-VAR Management FrameworkBuild highly scalable distribution grid management applications, such as Volt-VAR Optimization (VVO), by using an event-driven microservices framework with Amazon Managed Streaming for Apache Kafka, AWS Lambda, and Amazon SageMaker AI.
• Smart Metering for Water UtilitiesUse AWS IoT LoRaWAN to reliably collect water meter readings from multiple metering protocols and manage utility data at scale.

Financial Services

• Algorithmic Trading on AWSBacktest and host machine learning-based algorithmic trading strategies by using AWS Fargate, Amazon Elastic Container Service, and Amazon SageMaker AI.
• Exploring Real-Time Streaming for Retrieval Augmented Generation in GenerativeAIThis architecture demonstrates the integration of streaming data services on AWS with Retrieval Augmented Generation(RAG) in Generative AI applications.
• Financial Advisor Chat AssistanntFinancial advisors often work outside of normal business hours, when head office teams might not be available to answer questions. This architecture enables you to use AWS to create a sophisticated conversational chatbot to help financial advisors get answers to their queries 24/7.
• Fraud ring detection using Neo4j and graphsThis architecture helps you to set up detection of fraud rings using graphs. Fraud detection, graph embeddings, and other graph algorithms can improve ML model performance beyond what’s possible with more traditional approaches.
• Open Banking on AWSUse AWS to open APIs for third parties and implement Open Banking regulations with security, scalability, and compliance.
• Payment System Interface Modernization on AWS: Modern Cloud-Native Payment SystemsThis architecture shows you how to build a microservices-based payment system to handle scale and optimized performance with improved container-based deployment, and using API and event-based models for handling different channels in payment.
• Product Recommendations Powered by Neo4jDeliver personalized product recommendations in near real time by using Neo4j graph technology, Amazon EMR, Amazon SageMaker AI, and Amazon Kinesis.
• Real-Time Fraud Detection Powered by Redis Enterprise CloudDetect fraud in real time by using Redis Enterprise Cloud as both a primary database and online feature store with Amazon SageMaker AI for machine learning inference.
• Secure HTAP Data Architecture Using TiDB CloudThis reference architecture outlines a modern hybrid transactional/analytical processing (HTAP) data stack on AWS. It uses TiDB, an advanced, open-source, distributed SQL database that powers REST and GraphQL APIs, and near real-time analytics.
• Temenos Payments HubDeploy the Temenos universal payment initiation and distribution platform by using Amazon Elastic Container Service, AWS Fargate, and Amazon API Gateway.
• Temenos T24 TransactDeploy the Temenos T24 core banking solution on AWS by using Amazon Elastic Container Service, Amazon API Gateway, and Amazon DynamoDB.
• Temenos WealthSuite Front Office on AWSDeploy the Temenos integrated portfolio management and securities trading platform for wealth managers by using Amazon Elastic Kubernetes Service, Amazon API Gateway, and Amazon RDS.
• Using VMware VCDR and NetApp CVO for Disaster Recovery (DR)This architecture shows you how to bring Disaster-Recovery-as-a-Service (DRaaS) and the power of AWS to your on-premises VMware workloads.

GameTech

• Asynchronous Online GamingBuild a highly available, scalable architecture for mobile and online games that supports millions of players.
• Dynamic Media Content for GamesBuild a serverless solution for customized in-game media content by using request parameters and edge computing.
• Game Production in the Cloud - WorkstationsThis architecture, which is agnostic of game engine and software, walks through the use of streaming remote workstations with the NICE DCV protocol. It covers the high level considerations for use of cloud development workstations for games.
• Game Production in the Cloud: CI/CDOffload game builds from remote or on-premises development environments to the AWS Cloud by using an engine-agnostic CI/CD architecture.
• Massive Scale Real-Time Messaging for Multiplayer GamesDeliver real-time notifications to millions of concurrent players in multiplayer games by using multiple Redis PubSub clusters with Amazon ElastiCache and WebSockets.
• Mobile In-App Purchase Validation on AWSValidate in-app purchases and manage refunds on AWS with a serverless backend.
• Multiplayer Session-based Game Hosting on AWSThis architecture enables you to use Amazon GameLift multi-Region fleets and a serverless backend solution to host a session-based multiplayer game.
• Player Churn Prediction and RetentionUse machine learning to predict player churn and trigger retention actions in free-to-play games.
• Serverless Notifications for Mobile GamesBuild serverless notification pipelines for mobile games with scalable transaction processing by using AWS Step Functions, Amazon SNS, and Amazon Pinpoint.
• Serverless Real-Time Analytics for GamesBuild serverless, real-time analytics pipelines for cross-platform games to collect, analyze, and store game events.
• Unreal Engine's Pixel Streaming on AWSDeploy Unreal Engine's Pixel Streaming feature on AWS by using a serverless matchmaker with Amazon SQS, Lambda, and DynamoDB.
• Serverless In-Game Screenshot Processor Pipeline for Game StudiosThis architecture helps you build a serverless image processing pipeline for your games that receives screenshots, processes them, and stores them for later use.

Healthcare

• Build a Healthcare Data Pipeline on AWS with IBM Cloud Pak for DataBuild data pipelines and use machine learning (ML) models to predict patient treatment outcome, readmission rate, or disease progression.
• Connected Medical Devices with AWS IoTManage manufacturer medical devices in hospitals, clinics, and homes for better patient care by using AWS IoT Greengrass and AWS IoT Core.
• Datavant Switchboard with AWS Clean RoomsDatavant’s data de-identification and tokenization tools enable healthcare and life sciences companies to replace their private patient information with an encrypted “token” that can’t be reverse-engineered to reveal sensitive information. These companies can leverage AWS Clean Rooms with collaborators to securely analyze and gain new insights from their collective datasets without sharing, copying, or moving one another’s underlying data outside of AWS.
• Emerson Plantweb Optics Data Lake for Health Care and Life SciencesIngest data from multiple disparate sources into a unified data lake for health care and life sciences use cases by using Emerson Plantweb Optics.
• GxP Compliance AutomationBuild a secure and compliant GxP workload on AWS by using AWS Service Catalog, CloudFormation, and AWS Config for automated compliance monitoring.
• Healthcare Interoperability Stack on AWSBuild a modular interoperability platform to ingest, parse, and store healthcare data of any shape, size, and format.
• iMDSoft MetaVision Suite on AWSThis architecture helps you deploy MetaVision Suite on AWS. MetaVision Suite by iMDSoft is a clinical information system designed to support the delivery of care in adult, neonatal, and pediatric intensive care units (ICU) with MetaVision ICU, as well as anesthesia and operation theatres with MetaVision OR.
• Patient Outcome PredictionUse machine learning on patient health data to predict medical outcomes such as disease progression and hospital readmission probability.
• Payor Strategic Focus AreasThese architectures enable you to build a modern real-time data platform with health plan and external data.

Hospitality (Lodging + Restaurants)

• Bot Mitigation for Travel and HospitalityBuild a serverless CDN platform that detects and mitigates bots in real time by using Amazon CloudFront, AWS WAF, and AWS Lambda.
• Connected Lodging Properties Using IoT and AI/MLBuild smart, connected lodging properties by using AWS IoT Core, AWS IoT Greengrass, and Amazon SageMaker AI for touchless personalization and operational monitoring.
• Connected Restaurants using IoT and AI/MLBuild smart, connected restaurants by using AWS IoT Core, AWS IoT Greengrass, and Amazon SageMaker AI to maintain food quality, manage queues, and monitor operations.
• Customer Engagement Using AI/ML for LodgingPersonalize customer interactions and improve response times by using Connect Customer, Amazon Lex, and Amazon Personalize.
• Customer Engagement Using AI/ML for RestaurantsPersonalize customer interactions and improve response times by using Connect Customer, Amazon Lex, and Amazon Comprehend.
• Guest 360 Data Platform for LodgingIdentify known and unknown guests across all channels to personalize the guest experience by using a data lake on AWS.
• Guest 360 Data Platform for RestaurantsIdentify known and unknown guests across all channels to personalize the restaurant experience by using a data lake on AWS.
• Lodging Data PlatformBuild a data platform for operational and analytics needs by using open data standards, purpose-built databases, and serverless architecture on AWS.
• Lodging Data Platform with Master Data ManagementEnhance the lodging data platform with MDM tools to identify unique travelers and deduplicate loyalty membership by using AWS Glue ML Transform.
• Omni-channel Customer Engagement for Airlines HospitalityProvide a unified interface for customer service teams at travel and hospitality companies to deliver personalized service across all channels.
• Omni-channel Customer Engagement for LodgingProvide personalized customer service across all channels by using Amazon Lex, Amazon OpenSearch Service, and Amazon Pinpoint.
• Personalization Using AI/ML for LodgingPersonalize customer communications and offers by using Amazon Personalize, Amazon Pinpoint, and Amazon SageMaker AI on a data lake foundation.
• Property Optimizer for LodgingForecast demand and optimize property performance by using diverse data sources with Amazon Forecast, AWS Glue, and Amazon QuickSight.
• Revenue Management Architecture for LodgingMigrate on-premises revenue management to AWS for near real-time capabilities by using Amazon Forecast, Amazon SageMaker AI, and Amazon Elastic Compute Cloud Spot Instances.
• Search and Booking Metrics in Travel and HospitalityBuild a platform to gather traffic data in real time by using Amazon CloudFront, Amazon Kinesis, and Amazon OpenSearch Service.

Hybrid / Edge / Outposts

• Amazon EKS on AWS Outposts RackThis reference architecture diagram shows how to deploy Amazon Elastic Kubernetes Service (Amazon EKS) on an AWS Outposts rack.
• Amazon RDS on AWS OutpostsThis reference architecture diagram shows how to deploy Amazon Relational Database Service (Amazon RDS) on AWS Outposts.
• AWS Managed Services (AMS) for Operational ExcellenceThis series of reference architecture diagrams shows how AWS Managed Services (AMS) provides operational excellence capabilities including helpdesk, proactive monitoring, security operations, logging, patching, and backup.

IoT / Connected Home

• Connected Home Command and ControlThis reference architecture diagram shows how to implement command and control patterns for connected home devices by using AWS.
• Connected Home TelemetryThis reference architecture diagram shows how to collect, process, and analyze telemetry data from connected home devices by using AWS.
• Creating Multi-Account IoT Pipelines On-The-FlyThis reference architecture diagram shows how to create multi-account IoT data pipelines dynamically by using AWS.

Life Sciences

• Life Sciences Data Collection, Storage, and ProcessingTransfer life sciences data files to the cloud and provide data access using AWS services for storage, processing, and analytics.
• Genomics Data Transfer, Data Access Patterns, Storage, and ArchivalTransfer genomics data to the cloud and provide data access by using AWS DataSync, AWS Transfer Family, Amazon S3, and Amazon FSx for Lustre .
• Local Clusters for Amazon EKS on AWS OutpostsThis reference architecture diagram helps you deploy a local cluster for Amazon Elastic Kubernetes Service (Amazon EKS) on AWS Outposts.
• Location-enabled Data Science with Precisely on AWSDeploy Precisely geo addressing capabilities on Amazon SageMaker AI or Amazon EMR Studio to enhance experiments with location-aware data.

Machine Learning & AI

• AI-Enabled Audio Insight Processing PipelineShows how to use API-driven AI/ML services to process audio files and create a pipeline for multi-language insights through a serverless architecture.
• AI/ML Based Intelligent Email ResponderShows how to improve customer experience and agent productivity by using Amazon Simple Email Service and AWS ML services to comprehend intent and identify next-best-action for email responses.
• Build Your Own Anomaly Detection ML PipelineShows how to build an end-to-end ML pipeline that detects anomalies by ingesting real-time streaming data, performing transformations, and continuously retraining ML models.
• Serverless Consumer Review Insights for CPGShows how to gain insights from consumer reviews in near real time by using a serverless event-driven architecture for consumer packaged goods (CPG) companies.
• Content Moderation and Compliance Using AWS AI ServicesShows how to build customizable serverless workflows for reliable and scalable AI-based content moderation.
• Enhance Existing ML Lifecycles with Amazon SageMaker and AWS FargateShows how to enhance your existing ML workflow by integrating with SageMaker AI model training while preserving custom serverless endpoints with AWS Fargate.
• Multi-Model Inference Workflow OrchestrationShows how to orchestrate running multiple ML models for complex ML-driven insight by using AWS Step Functions and SageMaker AI.
• ReadForMeShows how the ReadForMe web app uses the AWS Cloud to help the visually impaired hear paper documents by using an event-driven serverless architecture with AI services.
• Run Machine Learning Algorithms with Satellite DataShows how to use Amazon GameSparks to ingest satellite imagery, and SageMaker AI to label image data, train an ML model, and deploy inferences.
• Well Log Facies Classification Using Machine LearningShows how to apply a low-code ML model on well log data by using SageMaker AI Autopilot to obtain facies (rock type) classification.

Manufacturing

• 42Q Cloud MES on AWSReference architecture diagram for 42Q cloud manufacturing execution system on AWS.
• Accelerate Industrial Machine Connectivity on AWSReference architecture diagram for accelerating industrial machine connectivity by using AWS IoT SiteWise on AWS.
• AVEVA Unified Engineering Deployment on AWSReference architecture diagram for deploying AVEVA Unified Engineering on AWS.
• AWS Industrial Anomaly Detection Using AWS IoTReference architecture diagram for industrial anomaly detection using AWS IoT services.
• AWS Industrial Applications with Siemens LOGO!Reference architecture diagram for AWS industrial applications with Siemens LOGO! automation controllers.
• AWS Industrial IoT Asset Condition MonitoringReference architecture diagram for monitoring factory equipment health, detecting fault conditions, and responding to events on AWS.
• AWS Industrial IoT Predictive Maintenance ML ModelReference architecture diagram for creating a predictive maintenance ML model by using AWS IoT SiteWise and AWS IoT Analytics.
• AWS Industrial IoT Predictive QualityReference architecture diagram for creating a computer vision predictive quality ML model on AWS.
• AWS Industrial PdM ML Model and Anomaly DetectionReference architecture diagram for building a predictive maintenance ML model and anomaly detection application on AWS.
• AWS Industrial PdM ML Model with Modbus CommunicationReference architecture diagram for building a predictive maintenance ML model on AWS with Modbus communication.
• Computer Vision for Quality Insights with IBM Maximo on AWSReference architecture diagram for computer vision quality insights with IBM Maximo on AWS.
• Consuming Data from InforOS over SFTPReference architecture diagram for consuming data from Infor CloudSuite over SFTP with AWS.
• DT4o Faktory Vision: Quality Insights on AWSReference architecture diagram for DT4o Faktory Vision quality insights on AWS.
• Element Analytics Unify on AWSContextualize and unify industrial data from disparate sources using Element Analytics Unify on AWS.
• Flutura Cerebra Asset Performance Management on AWSReference architecture diagram for Flutura Cerebra Asset Performance Management on AWS.
• IBM Planning Analytics with Watson on AWSIncrease service availability by deploying IBM TM1 Server on AWS. IBM Planning Analytics is an integrated planning solution that uses artificial intelligence (AI) to automate planning, budgeting, and forecasting activities, and build intelligent workflows.
• Identify Product Defects using Industrial Computer VisionReference architecture diagram for detecting product defects with industrial computer vision on AWS.
• Industrial Data Platform on AWSReference architecture diagram for building an industrial data platform on AWS.
• Industrial DataOps on AWS using Cognite Data FusionReference architecture diagram for industrial DataOps on AWS using Cognite Data Fusion.
• Kelvin AI on AWSKelvin AI provides engineers with the ability to deploy control changes to edge nodes using industry-specific cloud applications referred to as Maps and Copilots. Kelvin’s solution, built on AWS Cloud, allows enterprises to scale faster, optimize their industrial operations in real time, and accelerate their digital transformation initiatives.
• Lab Instrument Log Acquisition and Analytics on AWSReference architecture diagram for automating lab instrument log ingestion and analytics on AWS.
• Machine Learning Enabled Predictive Maintenance on AWSReference architecture diagram for machine learning enabled predictive maintenance on AWS.
• Manufacturing Data Lake on AWSReference architecture diagram for building a manufacturing data lake on AWS.
• Manufacturing on AWSReference architecture diagrams for digital transformation of manufacturing workloads on AWS.
• Modernize Applications with Microservices Using Amazon EKSIntegrate Amazon Elastic Kubernetes Service with VMware Cloud on AWS to modernize applications with microservices.
• Predictive Maintenance on AWS using Aspen MtellReference architecture diagram for predictive maintenance on AWS using Aspen Mtell.
• Producing Data to InforOS over SFTPReference architecture diagram for producing data to Infor CloudSuite over SFTP with AWS.
• PTC Windchill Product Lifecycle Management on AWSReference architecture diagram for PTC Windchill product lifecycle management on AWS.
• Resilient AWS IoT Events Alarm for AWS IoT SiteWiseReference architecture diagram for a resilient AWS IoT Events alarm for AWS IoT SiteWise.
• Robotic Processing: Automation and VDI on AWSReference architecture diagram for integrating UiPath robotics automation with VMware Cloud on AWS.
• Siemens Industrial Edge on AWSReference architecture diagram for integrating AWS IoT SiteWise Edge on Siemens Industrial Edge.
• Siemens NX on Amazon WorkSpaces ApplicationsReference architecture diagrams for Siemens NX on Amazon WorkSpaces Applications.
• Siemens Teamcenter Product Lifecycle Management on AWSReference architecture diagram for Siemens Teamcenter product lifecycle management on AWS.
• Smart Factory on AWS OutpostsReference architecture diagram for a smart factory on AWS Outposts.
• Tulip Next-Gen MES on AWSReference architecture diagram for Tulip next-generation manufacturing execution system on AWS.

Media & Entertainment

• Real-Time Casino Player AnalyticsThis architecture enables casino customers or game developers to build a real-time analytics pipeline and promote advertising offers to customers during the game session.
• Spatial Computing 3D Content ManagementCreate a single source of truth for 3D assets by using Amazon Simple Storage Service, Amazon DynamoDB, AWS Lambda, and AWS Step Functions.
• Sports Betting Architecture on AWSBuild a scalable sports betting application on AWS for real-time wagering and analytics.
• Edit in the Cloud on AWSThis architecture helps you build a virtual, video editing environment on AWS to collaborate with your editors and creative professionals.

Networking & Connectivity

• AWS AdTech PrivateLink NetworkUse AWS PrivateLink to route real-time bidding traffic between supply-side and demand-side platforms in a scalable, secure design.
• Direct Connect Traffic Flow with AWS Local ZoneShows traffic flows from an on-premises data center to an AWS Local Zone using Direct Connect for latency-sensitive applications.
• AWS Outposts Networking Reference ArchitectureShows an architectural overview of AWS Outposts Rack connectivity for LAN, WAN, and Amazon VPC.
• AWS Verified Access Request Verification FlowUnderstand how AWS Verified Access validates user requests using AWS Identity and Access Management Identity Center and device trust providers.
• Centralized Ingress with Application Load BalancerUse Application Load Balancer with AWS Transit Gateway for centralized ingress to Amazon EC2 targets using IP, Auto Scaling group, and ALB-chained patterns.
• Centralized Internet Egress with NAT GatewayUse NAT Gateway and AWS Transit Gateway to create high availability centralized internet egress for Amazon VPCs while isolating inter-VPC traffic.
• Centralizing VPC Endpoints with AWS Transit GatewayUse AWS Transit Gateway to centralize Amazon VPC endpoint access and enable on-premises connectivity to AWS services.
• Couchbase on AWS Local Zones for Low Latency Edge Use CaseShows an architecture overview of Couchbase Server and Couchbase Sync Gateway deployment on AWS Local Zones for a low latency edge use case.
• Distributed Inspection Architectures with Gateway Load BalancerUse Gateway Load Balancer to inspect traffic in a distributed fashion for North/South and East/West patterns across multiple VPCs.
• Dual Stack and IPv6-only Amazon VPC Reference ArchitecturesReference architectures for dual stack and IPv6-only Amazon Amazon VPC deployments including internet connectivity, load balancers, DNS64, NAT64, peering, AWS Transit Gateway, AWS PrivateLink, Direct Connect, VPN, and Transit Gateway Connect.
• Gateway Load Balancer Centralized Egress InspectionUse Gateway Load Balancer to build highly available and scalable centralized egress environments with traffic inspection.
• Gateway Load Balancer Inspection ArchitecturesUse Gateway Load Balancer and AWS Transit Gateway to create a highly available and scalable bump-in-the-wire solution for East/West inspection.
• Hybrid Connectivity Architectures to AWS Transit GatewayReference architectures for hybrid connectivity to AWS Transit Gateway including AWS Site-to-Site VPN, Direct Connect, active/passive configurations, encryption options, and Transit Gateway Connect attachments.
• Hybrid Connectivity between AWS GovCloud and Commercial RegionsConnect AWS GovCloud (US) and commercial Regions using public IP addressing, AWS Site-to-Site VPN, Direct Connect, or Transit Gateway connect attachments.
• Hybrid DNS Architectures with Route 53 Resolver EndpointsUse Amazon Route 53 Resolver inbound and outbound endpoints to resolve DNS queries bidirectionally between on-premises networks and AWS in IPv4, dual-stack, IPv6, and multi-account configurations.
• Inspection Deployment Models with AWS Network FirewallReference architectures for inspection deployment models using AWS Network Firewall including single VPC, intra-VPC, east-west, north-south, combined, and multi-Region centralized inspection patterns.
• Multicast Reference Architectures with AWS Transit GatewayUse AWS Transit Gateway to build multicast applications in single-VPC, multi-account, and hybrid environments.
• Reference Architectures for Implementing SD-WAN Solutions on AWSReference architectures for implementing SD-WAN solutions on AWS including Transit Gateway Connect, AWS Cloud WAN, Site-to-Site VPN, and Direct Connect integration options.
• Traffic Encryption Options in Direct ConnectEncrypt traffic over Direct Connect using AWS Site-to-Site VPN to a VPC, VPN to Transit Gateway, Private IP VPN, or MACsec security.
• VMware Cloud on AWS Networking Reference ArchitecturesReference architectures for networking connectivity with VMware Cloud on AWS including Direct Connect, AWS Transit Gateway, and VMware Transit Connect options.
• Multi-region API Gateway with CloudFrontThis architecture shows how you can reduce latency for end-users, while increasing an application's availability by providing API Gateway endpoints in multiple AWS Regions.

Observability & Logging

• Central Logging and Analytics in Hybrid EnvironmentsShows how to build a central logging and analytics solution to analyze Amazon CloudWatch logs from a hybrid environment, including VMware Cloud on AWS.
• Centralized Alarms and NotificationsShows how to deploy a serverless monitoring and alarm system configured to send workload-specific notifications.
• Centralized Log AnalyticsShows how to search, analyze, and visualize machine data by using Amazon OpenSearch Service for operational insights.
• IBM Instana Observability on AWSShows how to use IBM Instana on AWS for automated observability of your entire technology stack.
• Log Analytics with Open Source PatternsShows an architecture that uses FluentBit and Data Prepper to collect, aggregate, and transform logs into OpenSearch.
• Observability with Logs, Traces, and MetricsShows how to use Amazon OpenSearch Service for application performance monitoring and infrastructure observability.

Security & Compliance

• Data Escrow Environment Reference ArchitectureShows how to build a data escrow environment for securely storing, sharing, and accessing data between publishers and advertisers.
• Data Protection Reference Architectures with AWS BackupShows how to implement data protection strategies by using AWS Backup, including cloud-native protection, cross-account and Region copies, landing zone integration, and immutable backups.
• Protect Your Data with HYOK Solutions by Baffle DPSShows how to use Baffle Data Protection Service (DPS) to implement Hold Your Own Key (HYOK) solutions for additional data-centric protection on AWS.
• Secure Cloud Computing Architecture (SCCA) on AWS GovCloudShows how to build a Defense Information Systems Agency (DISA) compliant landing zone on AWS GovCloud (US) for running Department of Defense workloads.
• Secure Remote Worker EnvironmentShows how to build a secure desktop environment for remote workers to access key line-of-business applications and data.
• Securing Custom Origins with AWS WAFShows how to protect any endpoint, including non-AWS endpoints, against common web vulnerabilities by using AWS WAF with custom origins and custom secret headers in Amazon CloudFront.
• AWS Innovation SandboxThis architecture enables you to deploy secure, self-contained, isolated environments to allow developers, security professionals, and infrastructure teams to safely experiment with AWS services.

Serverless & Application Architecture

• Autoscaling Asynchronous Job QueuesPerform background processing jobs such as document generation, ETL tasks, and inference with AWS Fargate and Amazon Simple Queue Service.
• Backend for Frontend Using API GatewayProvide real-time visual updates on user interfaces by applying the Backend for Frontend pattern with Amazon API Gateway and event-driven notifications.
• Backend for Frontend Using AppSyncProvide real-time visual updates on user interfaces by applying the Backend for Frontend pattern with Amazon AppSync GraphQL subscriptions.
• Decoupled Serverless SchedulerDeploy a decoupled serverless scheduler to run any HPC application at scale using AWS Step Functions, Amazon Simple Queue Service, and Amazon Elastic Compute Cloud.
• Domain Consistency in Event-Driven ArchitecturesIncrease the resilience of your event-driven architecture by applying the transactional outbox pattern with Amazon EventBridge and Amazon DynamoDB.
• Expose Microservices Using Amazon EKSExpose Amazon Elastic Kubernetes Service microservices hosted in private subnets to the internet and on-premises networks.
• Invoking Asynchronous External APIsCall third-party services that implement the service callback pattern to process long-running jobs using AWS Step Functions orchestration.
• Modern Serverless Mobile/Web Application ArchitectureBuild a modern serverless mobile and web application using AWS AppSync, Amazon Elastic Container Service, and AWS Lambda with CI/CD and analytics.
• Multi-Region CQRS for On-Premises MonolithsExpand your on-premises transactional monolith to the cloud using the AWS global network with the CQRS and read-local write-global patterns.
• Multi-Region Custom-Domain AppSync Proxy APIReduce latency and increase availability by providing GraphQL API endpoints in multiple AWS Regions with active-active data synchronization.
• Parallel API Composition in AWSCall multiple downstream API endpoints in parallel to compose a single aggregated response using AWS Step Functions Express Workflows and circuit breakers.
• Replaying Parallel Requests to Break a MonolithBreak your monolith with confidence by setting up a parallel run strategy combined with the strangler fig pattern.
• Scaling PHP Applications on AWSRun highly available, performant, and secure PHP applications using Amazon Elastic Compute Cloud, Amazon Aurora, and Amazon CloudFront.
• Server-Side Rendering Micro-Frontends in AWSImplement server-side rendering micro-frontends using a serverless approach where a UI composer stitches independent HTML fragments into a seamless experience.
• Serverless Architecture for Global ApplicationsDeploy into multiple AWS Regions and apply event-driven patterns to reduce latency and increase performance for global services.
• Serverless Strategy for Dynamic PricingBuild dynamic prices in parallel and calculate them based on factors such as date, duration, and number of people with sub-second response times.
• Serverless Web App Real-Time Data BroadcastingCreate a real-time data broadcasting application using AWS AppSync, AWS Lambda, AWS Step Functions, and Amazon DynamoDB with managed GraphQL subscriptions over WebSockets.
• SQL Based Data Processing in Amazon ECSBuild a configuration-driven, codeless ETL alternative using a containerized framework that simplifies data processing with Apache Spark.
• Traceability with Serverless AnalyticsTrace your data lake ingestion and processing pipelines using AWS X-Ray and AWS Step Functions to diagnose processing lifecycle issues.
• Web Application Architecture on AWSHost a classic web application on AWS with high availability, scalability, and security across multiple Availability Zones.

Storage

• Amazon FSx for NetApp ONTAP NTFS connectivity to Domino Data LabShows how to change Domino Data Lab volumes on Amazon FSx for NetApp ONTAP from the UNIX to the NTFS security style. Domino keeps NFS access.

Supply Chain & Logistics

• Cold Chain Logistics Powered by Mendix and AWSBuild low-code cold chain logistics applications integrated with AWS services by using Mendix connectors for IoT monitoring, quality inspection, and supply chain visibility.
• Data Platform for Ports and Inland Logistics FacilitiesBuild a scalable data platform for port terminals and inland logistics with near-real-time visibility into operational and financial metrics.
• Last Mile DeliveryOptimize last mile delivery with real-time data analysis, IoT vehicle monitoring, and route optimization by using AWS IoT Core, AWS Fargate, and Amazon Neptune.
• Location Services with Real-Time ML ForecastingThis reference architecture provides guidance on creating a provider-customer location-based platform to create a real-time inference pipeline to forecast demand.
• Predict Vessel Time of Arrival at BerthUse machine learning, historical and live data, and real-time alerts to predict vessel arrival times and coordinate cargo operations.
• Predictive Maintenance for FleetsPredict battery failures in your vehicle fleet by using historical telemetry data and live sensor logs with AWS IoT Core, Amazon SageMaker AI, and Amazon Aurora.
• Provide DaaS to Fleet CustomersBuild a serverless Data as a Service (DaaS) architecture to ingest, process, and deliver vehicle data to fleet applications based on a subscription model.
• Supply Chain Data Lake SolutionIngest data from supply chain planning, execution, and shipment status systems to build a data lake solution for analysts and planners.

Telecom & 5G

• Deploying 5G Core on AWSDistribute your 5G Core between on-premises data centers and AWS Regions by using AWS Outposts and Amazon Elastic Kubernetes Service.
• Deploying 5G O-RAN NWDAF on AWSImplement AI-enabled Network Data Analytics Function (NWDAF) on AWS for observed service experience analytics by using Amazon Elastic Kubernetes Service and Amazon SageMaker AI.
• Deploying 5G O-RAN RIC on AWSDeploy AI-enabled near-real-time and non-real-time Radio Intelligent Controller (RIC) for RAN optimization by using Amazon Elastic Kubernetes Service and Amazon SageMaker AI.
• Deploying E2E 5G Network with AWSDeploy an end-to-end 5G network covering RAN, edge, core, and data network by using AWS Outposts, AWS Wavelength, and Direct Connect.
• Telecom Charging (OCS/CHF) on AWS OutpostsDeploy a fully automated, resilient, low latency, and highly available Telecom Online Charging System (OCS) / Charging Function (CHF) onAWS Outposts to run in the country of (or close to) the operator core network in cases of country data residency regulations or low latency requirements.
• Totogi Charging-as-a-Service for On-Premises 4G/5GConnect your on-premises 4G/5G network to the Totogi multi-tenant charging engine on AWS for real-time subscriber charging and monetization.
• TR-069 and AWSConnect TR-069 customer premises equipment (CPE) fleets with AWS for bulk data collection, analytics, and AI/ML integrations.

Travel (Airlines)

• Account and Security Strategy for the Serverless Data PlatformImplement a multi-account strategy with security isolation for your serverless data platform on AWS.
• Aircraft Predictive MaintenanceReduce unscheduled aircraft maintenance costs by using Amazon SageMaker AI for predictive maintenance.
• Aircraft Turn Tracking Passive Data CollectionTrack aircraft turn events at the gate by using AWS IoT Greengrass, Amazon SageMaker AI, and edge inference.
• Airline Data Platform with Master Data ManagementEnhance the airline data platform with master data management (MDM) to identify unique travelers and deduplicate customer records.
• Airline Schedule EngineBuild an airline schedule engine by using Amazon DynamoDB, Amazon Neptune, AWS Glue, and Amazon SageMaker AI.
• Airlines Data PlatformBuild a scalable airline data platform on AWS with purpose-built databases, data lakes, and AI/ML services.
• Airport Terminal OptimizerOptimize airport terminal and gate operations by using AWS Glue, Amazon EMR, Amazon Athena, and Amazon QuickSight.
• Amazon Alexa Skill for AirlinesBuild a secure airline Alexa Skill for booking and travel management by using Amazon API Gateway, AWS Lambda, and Amazon Cognito.
• AMOS Implementation on AWSImplement the Aircraft Maintenance and Engineering Operating System (AMOS) on AWS for high availability and cost efficiency.
• Architecture for Airline Crew Management SystemsBuild airline crew management systems by using Amazon Elastic Kubernetes Service, Amazon Aurora, and Amazon QuickSight.
• Architecture of Crew Management SystemBuild crew management Trip Update and Retrieve services by using Amazon Elastic Kubernetes Service, Amazon Aurora, and CloudFormation.
• Connected Airports Using IoT and AI/MLBuild a connected airport with IoT and AI/ML for real-time aircraft movement, baggage tracking, and passenger flow data.
• Customer Engagement Using AI/ML for AirlinesImprove airline customer engagement by using Connect Customer Customer, Amazon Lex, Amazon Transcribe, and Amazon Comprehend.
• Flight Planning Using Data Lakes and AI/MLImprove flight planning with data lakes and AI/ML by using Amazon S3, AWS Glue, Amazon EMR, and Amazon SageMaker AI.
• IFS Maintenix Software Implementation on AWSHost IFS Maintenix aviation maintenance software by using Amazon Elastic Compute Cloud, Amazon RDS, and AWS Transit Gateway.
• Implementing Travel and Hospitality Data MeshBuild a data mesh platform for travel and hospitality on AWS with domain-owned data products and purpose-built databases.
• Personalization Using AI/ML for AirlinesPersonalize airline customer communications by using Amazon Personalize, Amazon Pinpoint, and Amazon SageMaker AI.
• PROS Revenue Management Platform on AWSHost the PROS revenue management platform on AWS with high availability, security, and cost-effective infrastructure.
• Revenue Management Architecture for AirlinesMigrate airline revenue management systems to AWS for scalability, near real-time data feeds, and reduced infrastructure costs.
• Streaming Airline Ticket Shopping InsightsCapture and analyze streaming air shopping data by using Amazon Kinesis, Amazon Redshift, and Amazon SageMaker AI.
• Traveler 360 Data Platform for AirlinesIdentify known and unknown travelers across channels by using a data platform with MDM and customer data platform (CDP) capabilities.
• Using the Federal Aviation Administration SWIM Data LakeProcess and analyze FAA SWIM aeronautical data by using Amazon Kinesis, AWS Lambda, AWS Glue, and Amazon Aurora.