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AWS Solutions Library

Guidance for Predictive Maintenance with Amazon Monitron

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Overview

This Guidance helps you generate actionable insights for predictive maintenance management in industrial environments using Amazon Monitron and other AWS services. Machine and process failures often lead to reactive responses and require costly preventive maintenance, which can result in over-maintaining or missed issues. Amazon Monitron allows you to implement proactive, predictive maintenance and reduce unplanned downtime, so you can improve equipment health and uptime while maximizing productivity and quality. This Guidance also enables ingestion of Amazon Monitron insights and the creation of real-time reporting visualizations to support efficient asset management and strategic operational planning.

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.

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Deploy with confidence

Ready to deploy? Review the sample code on GitHub for detailed deployment instructions to deploy as-is or customize to fit your needs. 

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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 Monitron reduces downtime and enhances operational excellence through predictive maintenance. CloudFormation enforces consistency in deployment, reducing errors associated with manual updates. Amazon CloudWatch provides monitoring, tracking, and auditing for operational controls.

Read the Operational Excellence whitepaper 

AWS Identity and Access Management (IAM) and AWS Key Management Service (AWS KMS) manage user access and data encryption. These services support data security for Amazon Monitron users. AWS CloudTrail provides auditing and tracking to support security compliance needs.

Read the Security whitepaper 

Kinesis provides reliable data streaming, supporting continuous data ingestion and data flow. Kinesis streams data in real time so your team can act on issues before they impact business continuity across your operations.

Read the Reliability whitepaper 

Athena is optimized for fast query performance with Amazon S3. Athena automatically executes queries in parallel, so that you get query results in seconds, even on large data sets. With Athena, you don’t have to worry about managing or tuning clusters to get fast performance.

Managed Grafana automatically provisions, configures, and manages the operations of Grafana workspaces. The service auto scales to meet dynamic usage demands and simplifies data visualization for performance monitoring.

Read the Performance Efficiency whitepaper 

Amazon S3 provides cost-effective, scalable data storage and tiering for large-scale IoT data. Amazon S3 Intelligent-Tiering optimizes storage costs with minimal user intervention. Additionally, Amazon S3 is an optimal destination for Kinesis Firehose and serves as the foundation for a data lake.

Read the Cost Optimization whitepaper 

This serverless architecture diagram enhances sustainability by reducing manual and unnecessary maintenance of factory equipment. This, in turn, reduces the related carbon footprint of such maintenance while improving equipment uptime. Additionally, the cloud-based services in this Guidance help ensure high availability to facilitate sustainable predictive maintenance activities.

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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