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Tuesday, December 1, 2020

#AWS #Re:invent virtual conference activities log

I will be putting there Re:invent sessions that could relate to this blog topics... 

Machine Learning Keynote (https://virtual.awsevents.com/media/1_07cg4srl)

Join Swami Sivasubramanian for the first-ever Machine Learning Keynote, live at re:Invent. Hear how AWS is freeing builders to innovate on machine learning with the latest developments in AWS machine learning, demos of new technology, and insights from customers.

4:15 PM TO 4:45 PM EST

Productionizing R workloads using Amazon SageMaker, featuring Siemens

R language and its 16,000+ packages dedicated to statistics and ML are used by statisticians and data scientists in industries such as energy, healthcare, life science, and financial services. Using R, you can run simulations and ML securely and at scale with Amazon SageMaker, while reducing the cost of development by using the fully elastic resources in the cloud. Learn how Siemens Energy, a technology provider for more than one-sixth of the global electricity generation, with more than 91,000 employees and presence in more than 90 countries, is enabling new digital products with Amazon SageMaker to build, train, and deploy statistical and ML models in R at scale.

 DEC 1, 2020 | 4:45 PM - 5:15 PM EST (now...) DEC 2, 2020 | 12:45 AM - 1:15 AM EST DEC 2, 2020 | 8:45 AM - 9:15 AM EST [NEW LAUNCH!] Detect abnormal equipment behavior by analyzing sensor data Industrial companies are constantly working to avoid unplanned downtime due to equipment failure and to improve operational efficiency. Over the years, they have invested in physical sensors, data connectivity, data storage, and dashboarding to monitor equipment and get real-time alerts.... 


 DEC 2, 2020 | 2:15 PM - 2:45 PM EST DEC 2, 2020 | 10:15 PM - 10:45 PM EST DEC 3, 2020 | 6:15 AM - 6:45 AM EST [NEW LAUNCH!] Amazon Lookout for Vision Figuring out if a part has been manufactured correctly, or if machine part is damaged, is vitally important. Making this determination usually requires people to inspect objects, which can be slow and error-prone. 
Dec 2 8pm The most interesting session for me as a cloud capacity manager so far is: 

"Optimize compute for performance and cost"

"It’s easier than ever to grow your compute capacity and enable new types of cloud computing applications while maintaining the lowest total cost of ownership (TCO) by blending EC2 Spot Instances, On-Demand Instances, and Savings Plans purchase models. In this session, learn how to use the power of EC2 Fleet with AWS services such as Amazon EC2 Auto Scaling, Amazon ECS, Amazon EKS, Amazon EMR, and AWS Batch to programmatically optimize costs while maintaining high performance and availability. Dive deep into cost-optimization patterns for workloads such as containers, web services, CI/CD, batch, big data, and more."

 Most interesting slides from that session:

 I plan to look at suggested workshops to learn in details how AWS suggests to do capacity usage/rightsizing and cost optimization for ASG, EMR, ECS, EKS and batch services.

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