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AWS Solutions Library

Guidance for Integrating Industrial Data Fabric with Tulip on AWS

Overview

This Guidance demonstrates how to implement an Industrial Data Fabric (IDF) solution that integrates Tulip digital manufacturing capabilities with AWS services to streamline operational workflows. The Guidance combines AWS IoT SiteWise machine performance monitoring with Tulip no-code application building to create comprehensive work instructions and maintenance operations. It delivers three core capabilities: contextualizing machine data with operator input, enabling closed-loop feedback systems, and scaling deployments across multiple sites while maintaining data within the AWS environment. This integration drives improvements in quality management, enables predictive maintenance, and provides complete traceability for compliance requirements through a unified data model.

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.

AWS IoT SiteWise integrates seamlessly with Amazon RDS, Amazon Redshift, Lambda, and API Gateway to deliver comprehensive operational automation. These services streamline data collection and database management while reducing manual intervention through automated maintenance and scaling capabilities. Near real-time monitoring provides immediate insights for quick decision-making, while built-in automation handles infrastructure concerns. Integrated monitoring enables proactive issue detection and swift problem resolution, maintaining optimal system performance.

Read the Operational Excellence whitepaper 

This Guidance implements encryption at rest and in transit, while fine-grained access controls through AWS Identity and Access Management (IAM) enable centralized security management. Integration with AWS Secrets Manager facilitates secure credentials handling, and audit logging supports compliance requirements across all service components.

Read the Security whitepaper 

AWS IoT SiteWise maintains industrial data collection through automatic buffering. Amazon RDS implements automatic failover and multi-Availability Zone deployments for database reliability. Amazon Redshift enhances data warehouse dependability through automated snapshots and node replacement, supporting cross-Region disaster recovery. Lambda functions operate across multiple Availability Zones with automatic scaling and retry capabilities. API Gateway maintains consistent API availability through regional failover and request throttling. This multi-layered approach helps minimize downtime risks.

Read the Reliability whitepaper 

AWS IoT SiteWise leverages edge processing and efficient data modeling for real-time operations. Amazon RDS employs automatic scaling and read replicas to optimize database performance. Amazon Redshift offers automatic workload management and concurrent scaling capabilities to help ensure efficient query processing. Additionally, Lambda delivers millisecond-level responses with automatic scaling, and API Gateway implements caching and regional endpoint optimization.

Read the Performance Efficiency whitepaper 

AWS IoT SiteWise uses edge computing to reduces data transfer costs. Amazon Redshift implements pause-and-resume capabilities and storage compression to optimize costs, complemented by the serverless Lambda model that eliminates charges for idle time. API Gateway offers a pay-per-call model, caching and automatic scaling, reducing backend costs and overprovisioning across services.

Read the Cost Optimization whitepaper 

Lambda uses a serverless model that eliminates idle server waste. API Gateway provides efficient request routing and caching decrease processing requirements. Combined with regional deployments and data optimization features, the services in this Guidance can significantly reduce your overall carbon footprint while maintaining performance standards.

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.