An IIoT system is a significantly complex ecosystem of diverse components that is in a state of continuous change, never static, and always evolving with various parts of the ecosystem prone to different types of stress and failures. A node on the edge will be added or removed every day, cloud connectivity will be lost, or new builds on the cloud will be deployed multiple times per day. In addition, old APIs could be swapped for newer and better ones at an astounding pace. Making the system reliable and fault-tolerant is paramount to the successful usage of the application. Before we dive into discussing the various aspects of this chapter, let's look at a typical architecture of the IIoT system for reference. A typical IIoT system consists of cloud services such as APIs, runtimes, a data store, messaging services, and edge gateways deployed on...
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Alena Traukina is IoT practice Lead at Altoros. She has over 12 years of experience in delivery and support of business-critical software applications, working closely with business owners and providing strategic and organizational leadership for software development. Over the years, Elena has served in different capacities, ranging from software engineer to software engineering manager and the head of Altoross Ruby Department. She is also one of the first GE's Predix Influencers.
Read more about Alena Traukina
Jayant Thomas (JT) is the director of software engineering for the IoT apps for GE Digital. He is responsible for building IoT SaaS applications using the Predix platform, and specializes in building microservices-based architecture, reactive, event-driven systems. JT holds a masters in technology from NIIT and MBA in technology from UC Davis, CA, and has 12 patents in the speech language processing, multimodal application, and cloud architectures. When not hacking code, JT spends time with kids and enjoys crossfit training and kickboxing.
Read more about Jayant Thomas
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Kishore Reddipalli is a software technical director and expert in building IIoT big data and cloud computing platforms and products at ultra scale. He is passionate about building software for analytics and machine learning to make the authoring of algorithms at scale, from inception to production, a simpler process. He has been a speaker at global conferences on big data technologies. Over the years, he has provided leadership in various capacities. Throughout his career, his roles have ranged from software engineer to director of engineering and architecture for the development of platforms and products in domains such as clinical decision support systems, electronic medical records, Predix Platform, Predix Operations Optimization for IIoT, and etch-process control at nanometer level using big data and machine learning technologies in the semiconductor industry. He holds an MS in computer science from Texas A&M University Corpus Christi.
Read more about Veera Kishore Reddipalli
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Alena Traukina is IoT practice Lead at Altoros. She has over 12 years of experience in delivery and support of business-critical software applications, working closely with business owners and providing strategic and organizational leadership for software development. Over the years, Elena has served in different capacities, ranging from software engineer to software engineering manager and the head of Altoross Ruby Department. She is also one of the first GE's Predix Influencers.
Read more about Alena Traukina
Jayant Thomas (JT) is the director of software engineering for the IoT apps for GE Digital. He is responsible for building IoT SaaS applications using the Predix platform, and specializes in building microservices-based architecture, reactive, event-driven systems. JT holds a masters in technology from NIIT and MBA in technology from UC Davis, CA, and has 12 patents in the speech language processing, multimodal application, and cloud architectures. When not hacking code, JT spends time with kids and enjoys crossfit training and kickboxing.
Read more about Jayant Thomas
https://www.linkedin.com/mynetwork/invite-connect/connections/
In discussion for Cloud agritech
Read more about Prashant Tyagi
Kishore Reddipalli is a software technical director and expert in building IIoT big data and cloud computing platforms and products at ultra scale. He is passionate about building software for analytics and machine learning to make the authoring of algorithms at scale, from inception to production, a simpler process. He has been a speaker at global conferences on big data technologies. Over the years, he has provided leadership in various capacities. Throughout his career, his roles have ranged from software engineer to director of engineering and architecture for the development of platforms and products in domains such as clinical decision support systems, electronic medical records, Predix Platform, Predix Operations Optimization for IIoT, and etch-process control at nanometer level using big data and machine learning technologies in the semiconductor industry. He holds an MS in computer science from Texas A&M University Corpus Christi.
Read more about Veera Kishore Reddipalli