Category: AWS IoT SiteWise

Efficiency, uptime, and the minimizing of costs are three of the most important pillars of a successful industrial operation. Understanding the operating state of equipment, overall efficiency of a piece of equipment, or a whole production line – as well as how these affect costs and revenue across multiple sites – requires a complete view […]

Introduction In this post, we discuss how AWS IoT SiteWise and AWS IoT SiteWise Edge can be used to store data not only in the AWS IoT SiteWise data store but also in many other locations. By default data is stored in the AWS IoT SiteWise data store on AWS. Customers told us that they […]

Introduction Whether you are just starting with your Internet of Things (IoT) journey, or already have millions of connected IoT devices, you might be looking for ways to maximize the value extracted from your IoT data. IoT devices data can contain a wealth of information within its reported telemetry data, metadata, state, and commands and […]

AWS IoT SiteWise is a managed service that simplifies collecting, organizing, and analyzing industrial equipment data at scale. With AWS IoT SiteWise, customers can gather data reliably from multiple facilities, structure it, and make it accessible and understandable without developing additional software. With equipment data stored in AWS IoT SiteWise, customers can assess the performance […]

In this two-part blog post, we propose an AWS IoT AI/ML solution to help our industrial customers for efficiently monitoring industrial assets in a scalable manner. Part 1 of the blog shows: How to create an asset simulator with AWS IoT SiteWise; How to create data pipeline to integrate Amazon Lookout for Equipment with AWS […]

Customers that manage and maintain industrial assets strive to keep them functioning as efficiently as possible, which they can do by monitoring and analyzing the health of their assets. Plant operators measure efficiency with key performance indicators (KPIs) like overall equipment effectiveness (OEE) or mean time before failure (MTBF) and act to improve these metrics […]

Post also written by Shardul Pradhan and Ramesh Yechangunja from Cognizant Introduction Recent market conditions have stressed the commercial building management market due to the increased cost of construction, reduced occupancy, and increased cost of labor to monitor and maintain buildings. This is fueling the need for smarter and safer buildings. According to research from […]

Introduction Zero trust is often misunderstood. It’s not a product but a security model and associated set of architectural principles and patterns. One of the main challenges customers face is determining how zero-trust principles can be applied to Internet of Things (IoT) and how to get started with incorporating zero trust with Amazon Web Services […]

Customers use AWS IoT Events detector models to describe equipment states and the events that affect these states. A detector model in AWS IoT Events contains expressions written in the AWS IoT Events expression language. An expression can have one of four primitive data types: integer, string, decimal, or Boolean. By checking your expressions for correct […]

Learn some of the best practices for keeping your IIoT infrastructure secure using AWS’s multilayered security approach and comprehensive security services and features.