December 5, 2017
1 PM EST / 10 AM PST
Scaling Cloud Infrastructure for Millions
Part of a series of webinars on “5C’s That Changed the Future - CI, CD, Containers, Cloud & Culture”
How do you architect a public cloud solution to handle input from millions of IoT devices?
The nDimensional team has been a pioneer in building machine learning applications to solve industrial-scale challenges for nearly 30 years. As businesses seek to capitalize on big data and IoT, they need to operationalize not just their data, but AI. nD is one of a select few end-to-end platforms for operationalizing machine learning in real-time, production settings.
nD’s experience extends to numerous industries, including providing credit card fraud detection; optimizing fuel efficiency, emissions and availability of electric power generators; using satellite imagery for mapping forest changes; predicting sports injuries and player performance; and more.
Re-architecting and migrating nD to public cloud was no small engineering achievement. Requirements included the ability to scale to handle input from millions of devices, with near-zero latency.
nDimensional partnered with AWS and nClouds to deliver a modern infrastructure that includes:
- Scalable and secure compute capacity with Amazon Elastic Cloud Compute (EC2).
- Fully managed NoSQL database able to provide consistent, single-digit millisecond latency at any scale with Amazon DynamoDB.
- Data lake for storing massive amounts of data with Amazon S3.
Join the webinar to learn more about nDimensional’s continuing journey and lessons for creating scalable cloud infrastructure.
Dr. Rakesh Chalasani, Vice President of Technology, nDimensional
Rakesh is responsible for the development and architecture of the nD technology. Rakesh joined nDimensional in the spring of 2014 after completing his doctorate from the University of Florida, where he specialized in machine learning, deep learning, numeric optimization, and information theoretic methods. nDimensional has built a hybrid infrastructure for the nD platform to achieve stability and scale required for industrial IoT automation. Rakesh led the design and development of the architecture which was built with a focus on high-throughput streaming analytics.
For more than 20 years, nDimensional technology has been used to optimize business and physical processes in real-time across numerous industries.
Doug Cliche, Solutions Architect, Amazon Web Services
Doug is a senior IT operations management professional with extensive experience in managing the design, development, and implementation of IT networks and systems within diverse corporate environments. He has more than 15 years of executive, management and hands-on technical experience in cloud and IT operations. Prior to his current role as a solutions architect at AWS, he was a cloud architecture consultant. He previously held executive and management roles in server, network and technical operations at ShapeUp and Hachette Book Group, was a senior systems administrator at Clear Channel Communications and Oracle, and systems administrator at Rackspace Hosting and Digi-Net.
For 11 years, Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud platform.
JT Giri, CEO & Co-founder, nClouds
JT has been doing DevOps for 10 years, helping solve complex operations challenges for Silicon Valley-based startups and enterprises. A prior DevOps consultant, network engineer, systems architect and sysadmin, he has deep technical skills in cloud infrastructure, cloud platforms, agile methodologies, and popular tools and practices for CI/CD. JT co-founded nClouds, a credentialed DevOps and cloud consultancy and solution provider specializing in modern infrastructures. nClouds’ experience includes 250+ DevOps AWS implementations, 500+ deployed pipelines, and 10,000+ managed servers. nClouds is a certified AWS Advanced Consulting Partner and AWS Managed Services Partner, with AWS DevOps Competency.
CIOReview named nClouds “20 Most Promising DevOps Solution Providers - 2017” and “20 Most Promising AWS Solution Providers - 2017.”