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Implement IoT Predictive Maintenance with PubNub and Azure Machine Learning

One of the key benefits of an industrial Internet of Things-based system is predictive maintenance. Based on the metrics ingested by the connected devices, a machine learning algorithm detects anomalies to predict potential failures. This not only saves a few million dollars for enterprises but it also ensures minimal downtime involved in dealing with defective equipment.

This tutorial series will help developers apply predictive maintenance to devices connected to the PubNub Data Stream Network (DSN), a global third-party streaming network service. It will explore the concepts of the recently announced PubNub support for MQTT, along with Functions, the serverless environment of PubNub. It will highlight how to integrate with third-party cloud services such as Microsoft Azure.

The scenario for this tutorial involves using a simulated turbine that ingests key metrics such as the fan speed, vibrations, noise levels, and temperature. Each metric ingested into PubNub DSN will be sent to Azure ML to predict possible anomalies. A PubNub Function invokes the REST endpoint exposed by an Azure ML model that’s trained to predict the anomalies. When the Web Service repeatedly reports anomalies, the PubNub Function sends a message to a simulated alarm. If the alarm goes unattended for a predefined amount of time, it automatically shuts down the turbine in question.

Read the entire article at The New Stack

Janakiram MSV is an analyst, advisor, and architect. Follow him on Twitter,  Facebook and LinkedIn.

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Janakiram MSV heads the Cloud Infrastructure Services at Aditi Technologies. He was the founder and CTO of Get Cloud Ready Consulting, a niche Cloud Migration and Cloud Operations firm that recently got acquired by Aditi Technologies. In his current role, he leads a highly talented engineering team that focuses on migrating and managing applications deployed on Amazon Web Services and Microsoft Windows Azure Infrastructure Services.
Janakiram is an industry analyst with deep understanding of Cloud services. Through his speaking, writing and analysis, he helps businesses take advantage of the emerging technologies. He leverages his experience of engaging with the industry in developing informative and practical research, analysis and authoritative content to inform, influence and guide decision makers. He analyzes market trends, new products / features, announcements, industry happenings and the impact of executive transitions.
Janakiram is one of the first few Microsoft Certified Professionals on Windows Azure in India. Demystifying The Cloud, an eBook authored by Janakiram is downloaded more than 100,000 times within the first few months. He is the Chief Editor of a popular portal on Cloud called www.CloudStory.in that covers the latest trends in Cloud Computing. Janakiram is an analyst with the GigaOM Pro analyst network where he analyzes the Cloud Services landscape. He is a guest faculty at the International Institute of Information Technology, Hyderabad (IIIT-H) where he teaches Big Data and Cloud Computing to students enrolled for the Masters course. As a passionate speaker, he has chaired the Cloud Computing track at premier events in India.
He has been the keynote speaker at many premier conferences, and his seminars are attended by thousands of architects, developers and IT professionals. His sessions are rated among the best in every conference he participates.
Janakiram has worked at the world-class product companies including Microsoft Corporation, Amazon Web Services and Alcatel-Lucent. Joining as the first employee of Amazon Web Services in India, he was the AWS Technology Evangelist. Prior to that, Janakiram spent 10 years at Microsoft Corporation where he was involved in selling, marketing and evangelizing the Microsoft Application Platform and Tools.