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AWS Solutions Library

Guidance for Connected Lodging Properties on AWS

Overview

This Guidance demonstrates how to implement a connected Internet of Things (IoT) lodging solution that helps you enhance guest experiences, optimize resource utilization, and streamline operations. By using smart, data-driven technology like intelligent room controls, predictive maintenance, personalized services, and efficient staff management, you can transform your hospitality business. With the resulting responsive environment, you can optimize operational efficiency, reduce costs, and heighten sustainability while improving guest satisfaction and business competitiveness.

How it works

These technical details feature an architecture diagram to illustrate how to effectively use this solution. The architecture diagram shows the key components and their interactions, providing an overview of the architecture's structure and functionality step-by-step.

Download the architecture diagram

Well-Architected Pillars

The architecture diagram above is an example of a Solution created with Well-Architected best practices in mind. To be fully Well-Architected, you should follow as many Well-Architected best practices as possible.

Amazon CloudWatch provides holistic observability into this Guidance’s infrastructure and application performance. This enables proactive monitoring, fast troubleshooting of errors and issues, and near real-time responsiveness to events and incidents.

Read the Operational Excellence whitepaper 

API Gateway enhances security for backend services and data by providing authentication and access control through API keys. You can also restrict access to your APIs and limit API rates through throttling. Additionally, API Gateway integrates with AWS Identity and Access Management (IAM) to provide fine-grained access controls to your APIs. SSL policies and data encryption help you protect data in transit and at rest. Finally, API Gateway provides access logs and implementation logs for visibility into API usage so that you can identify security issues.

Read the Security whitepaper 

AWS IoT Core enables reliable bidirectional communication between IoT-connected kitchen equipment and AWS Cloud services. It can handle a high volume of messages from many pieces of kitchen equipment and reliably route those messages to AWS for downstream processing of telemetry data. The service scales to support any number of devices, with built-in retries supporting reliable communication.

Read the Reliability whitepaper 

SageMaker enables you to efficiently train and deploy ML models at scale for IoT telemetry data. It’s distributed approach scales model training across multiple nodes to reduce time. Additionally, automatic model tuning helps you identify the best hyperparameters faster, and its model inferencing enables low-latency responses. These SageMaker capabilities, plus the integration with other AWS services, help you optimize model building and inference performance.

Read the Performance Efficiency whitepaper 

Amazon DynamoDB centrally stores all IoT data and offers a time to live (TTL) feature that lets you delete this data from your tables based on thresholds you configure without consuming any write throughput. As a result, you do not pay for additional storage and can keep your storage costs optimized.

Read the Cost Optimization whitepaper 

AWS IoT Greengrass enables local compute, messaging, device shadow, and ML inference capabilities on edge devices. This reduces the need to transmit data to AWS for analysis, saving network bandwidth and energy consumption. By minimizing data transmission needs and cloud resource usage, this Guidance lowers the energy expenditures for compute and inferencing, helping you reduce the overall carbon footprint of your workloads.

Read the Sustainability whitepaper 

Disclaimer

The sample code; software libraries; command line tools; proofs of concept; templates; or other related technology (including any of the foregoing that are provided by our personnel) is provided to you as AWS Content under the AWS Customer Agreement, or the relevant written agreement between you and AWS (whichever applies). You should not use this AWS Content in your production accounts, or on production or other critical data. You are responsible for testing, securing, and optimizing the AWS Content, such as sample code, as appropriate for production grade use based on your specific quality control practices and standards. Deploying AWS Content may incur AWS charges for creating or using AWS chargeable resources, such as running Amazon EC2 instances or using Amazon S3 storage.

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