This document provides an overview of Amazon Web Services (AWS) including characteristics of cloud computing, the pace of innovation at AWS, the AWS global infrastructure including regions and availability zones, and an overview of key AWS services including storage, compute, database, networking, and application services. It highlights the scale and growth of AWS, how AWS enables building distributed architectures more easily than with traditional infrastructure, and how AWS services provide capabilities to store and access data, run applications, and scale infrastructure on demand.
An Introduction to the AWS Well Architected Framework - WebinarAmazon Web Services
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This document provides an introduction to the AWS Well-Architected Framework, which consists of five pillars - security, reliability, performance efficiency, cost optimization, and operational excellence. It discusses the recent addition of the operational excellence pillar and updates to the reliability pillar. It also covers new architecture type overlays and available resources like whitepapers, online training, and reference architectures. The session is intended for architects, developers, managers, and IT professionals interested in cloud architecture best practices.
Introduction to the Well-Architected Framework and Tool - SVC208 - Anaheim AW...Amazon Web Services
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Most modern businesses depend on a portfolio of technology solutions to operate and be successful every day. How do you know whether your team is following best practices or what the risks are in your architectures? This session shows how the AWS Well-Architected Framework provides prescriptive advice on best practices and how the AWS Well-Architected Tool enables you to measure and improve your technology portfolio. We explain how other customers are using AWS Well-Architected in their businesses, and we share what we learned from reviewing tens of thousands of architectures across operational excellence, security, reliability, performance efficiency, and cost optimization.
Introduction to AWS Cloud Computing | AWS Public Sector Summit 2016Amazon Web Services
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Amazon Web Services (AWS) provides on-demand computing resources and services in the cloud, with pay-as-you-go pricing. This session provides an overview and describes how using AWS resources instead of your own is like purchasing electricity from a power company instead of running your own generator. Using AWS resources provides many of the same benefits as a public utility: Capacity exactly matches your need, you pay only for what you use, economies of scale result in lower costs, and the service is provided by a vendor experienced in running large-scale networks. A high-level overview of AWS¡¯s infrastructure (such as AWS Regions and Availability Zones) and AWS services is provided as part of this session.
Customers using AWS benefit from a multitude of security and compliance controls built into AWS solutions. In this session, you will learn how to take advantage of the advanced security features of AWS to gain the visibility, agility, and control that the cloud affords users over legacy environments. We will take a look at several reference architectures for common workloads and highlight the innovative ways customers are using AWS to manage security more efficiently. After attending this session, you will be familiar with the Shared Responsibility Model and ways you can inherit security controls from the rich compliance and accreditation programs maintained by AWS.
Matt Johnson, Solutions Architect, AWS
Amazon Elastic Compute Cloud (Amazon EC2) provides a broad selection of instance types to accommodate a diverse mix of workloads. In this technical session, we provide an overview of the Amazon EC2 instance platform, key platform features, and the concept of instance generations. We dive into the current generation design choices of the different instance families, including the General Purpose, Compute Optimized, Storage Optimized, Memory Optimized, and GPU instance families. We also detail best practices and share performance tips for getting the most out of your Amazon EC2 instances.
Leveraging the AWS Sales Methodology and Partner Best Practices aws-partner-s...Amazon Web Services
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The AWS outcome-based approach to sales is customer obsessed and supports the new reality of IT. Learn how to align effectively with AWS sales and help customers accelerate their cloud adoption. AWS and Partners will also share best practices and lessons learned.
Evolving Customer Experience with Amazon Connect, An AI based Contact Centre ...Amazon Web Services
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Customer service expectations continue to evolve and call centres are about to change before our eyes. By capturing and analysing customer service interactions, you can better identify the root cause of issues and improve first-call resolution and customer satisfaction. In this session, learn how to integrate Amazon Connect, a modern, cloud-based contact centre and AWS machine learning services to quickly process and analyse thousands of customer conversations and gain valuable insights.
Speaker: Zoe Pelbart, Account Manager, AWS Public Sector
End-to-End Machine Learning with Amazon SageMakerSungmin Kim
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Sungmin Kim, an AWS Solutions Architect, discusses Amazon SageMaker for end-to-end machine learning. SageMaker provides a fully managed service for building, training, and deploying machine learning models in the cloud. It offers tools for labeling data, running automated machine learning, training models with built-in algorithms or custom code, tuning hyperparameters, and deploying models for inference through endpoints. SageMaker aims to make machine learning more accessible and productive for developers through its integrated development environment called Amazon SageMaker Studio.
AWS reInvent 2022 reCap AI/ML and DataChris Fregly
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This document discusses Amazon Web Services (AWS) products and services for building end-to-end machine learning and data strategies. It covers topics such as ML infrastructure, governance, data preparation, model training, deployment, and education. Specific services mentioned include Amazon SageMaker, AWS Lake Formation, Amazon Redshift, Amazon EMR, AWS Glue, and AWS services for hardware acceleration like AWS Trainium and AWS Graviton.
AWS Business Essentials helps IT business leaders and professionals understand the benefits of cloud computing and how a cloud strategy can help you meet your business objectives. In this course we discuss the advantages of cloud computing for your business and the fundamentals of AWS, including financial benefits. This course also introduces you to successful cloud adoption frameworks so to help you consider the AWS platform within your cloud computing strategy. We have broken this training into 3 parts during the event, in order to complete the training please plan to attend all 3 sessions.
Amazon Elastic Compute Cloud (Amazon EC2) provides a broad selection of instance types to accommodate a diverse mix of workloads. In this technical session, we provide an overview of the Amazon EC2 instance platform, key platform features, and the concept of instance generations. We dive into the current generation design choices of the different instance families, including the General Purpose, Compute Optimized, Storage Optimized, Memory Optimized, and GPU instance families. We also detail best practices and share performance tips for getting the most out of your Amazon EC2 instances.
Leveraging the AWS Sales Methodology and Partner Best Practices aws-partner-s...Amazon Web Services
?
The AWS outcome-based approach to sales is customer obsessed and supports the new reality of IT. Learn how to align effectively with AWS sales and help customers accelerate their cloud adoption. AWS and Partners will also share best practices and lessons learned.
Evolving Customer Experience with Amazon Connect, An AI based Contact Centre ...Amazon Web Services
?
Customer service expectations continue to evolve and call centres are about to change before our eyes. By capturing and analysing customer service interactions, you can better identify the root cause of issues and improve first-call resolution and customer satisfaction. In this session, learn how to integrate Amazon Connect, a modern, cloud-based contact centre and AWS machine learning services to quickly process and analyse thousands of customer conversations and gain valuable insights.
Speaker: Zoe Pelbart, Account Manager, AWS Public Sector
End-to-End Machine Learning with Amazon SageMakerSungmin Kim
?
Sungmin Kim, an AWS Solutions Architect, discusses Amazon SageMaker for end-to-end machine learning. SageMaker provides a fully managed service for building, training, and deploying machine learning models in the cloud. It offers tools for labeling data, running automated machine learning, training models with built-in algorithms or custom code, tuning hyperparameters, and deploying models for inference through endpoints. SageMaker aims to make machine learning more accessible and productive for developers through its integrated development environment called Amazon SageMaker Studio.
AWS reInvent 2022 reCap AI/ML and DataChris Fregly
?
This document discusses Amazon Web Services (AWS) products and services for building end-to-end machine learning and data strategies. It covers topics such as ML infrastructure, governance, data preparation, model training, deployment, and education. Specific services mentioned include Amazon SageMaker, AWS Lake Formation, Amazon Redshift, Amazon EMR, AWS Glue, and AWS services for hardware acceleration like AWS Trainium and AWS Graviton.
AWS Business Essentials helps IT business leaders and professionals understand the benefits of cloud computing and how a cloud strategy can help you meet your business objectives. In this course we discuss the advantages of cloud computing for your business and the fundamentals of AWS, including financial benefits. This course also introduces you to successful cloud adoption frameworks so to help you consider the AWS platform within your cloud computing strategy. We have broken this training into 3 parts during the event, in order to complete the training please plan to attend all 3 sessions.
4. TRANSFORMATION
Click & Mortar O2O ? On-Demand
Process Innovation Industry 4.0
Mobile IoT
Big Data Machine/Deep Learning
Connected Car Self-driving (Autonomous)
5. New Computer
PC-Computer Smart Phone ?Frictionless
Computing
No Display!
No Keyboard/Mouse!
No Touch!
Only Recognition!
?? http://ben-evans.com/
21. Creating a Landing Zone - Internet Centric Networking
The Internet
Sites
Private Network ¨C Provider
Internet Edge
SaaS Cloud
ISP
Cloud
Gateway
1
Cloud
Gateway
2
Cloud
Gateway N
Partner
Tier1
DC
siteMPLS
Direct Connect
MPLS
36. PLM: Siemens Teamcenter on AWS
? Full Cloud or Hybrid ??
? Training, Dev & Test, HA
Production, Disaster Recovery
Siemens Frameworks and Best Practices
39. ???? ????? AWS ???
High Performance
Compute
Internet of Things
Modeling and
Simulation
Archive
Correlation
Analysis
Mobile
DeviceVarious
Sensors
HTTPS
Device
Persistent
Stream
Intelligent Services
By Deep Learning
Artificial Intelligence
Connected, Automated,
Control
Big Data Micro Data
43. A Flywheel For Data
Machine Learning
Deep Learning
AI
Better Products
Better Analytics
Object Storage
Databases
Data warehouse
Streaming analytics
BI
Hadoop
Spark/Presto
Elasticsearch
More Users
More Data
Click stream
User activity
Generated content
Purchases
Clicks
Likes
Sensor data
44. A Flywheel For Data
Machine Learning &
Artificial Intelligence
Big Data Analytics
More Users Better Products
More Data Better Analytics
45. Machine Learning ?? ??
Collect
Validation data Test dataTraining data
Model training Model validation Final predictions
??
????? ??/??
???
??? ???
?? ?? ?? ??
?? ??
Data
Output
Computer
Program
???
?? ??
????
????
???? ??
processing Use Case
??? ?? ?? ?? ?? ASIN ?? ?? ?? ?? ?? ??(???)
46. ??? ?? Deep Learning ¨C Advanced ML
Neural Networks :
A collection of simple, trainable mathematical units that collectively learn complex functions
Where traditional machine learning focuses on feature
engineering, deep learning focuses on end-to-end
learning based on raw features
47. The Advent of Deep Learning
Algorithms
Data
Programming
Models
GPUs &
Acceleration
image understanding
natural language
processing
speech recognition
autonomy
51. HPC ????? ????? ???? ?? ??
Cloud for HPC Scalability
Cloud for Secure Global Collaboration
Cloud for Big Data
Amazon Linux ?? 3.10 ?? ??? Linux
kernel ??
OS ??
P-states? ???? ???? ??? ??
CPU ???? ???? CPU ?? ??? ??
Intel MPI ??
???? ?? ? ???
MPI ?????
?????? ?? ?? ???
?? ?? ?? ?? ???, ?? ?? ?? ??
??????
?? EC2 ???? ????? ?? ??
???? ?? ?? ?? ?? ?? ?? ??? ???
1M PPS ??? ??, ???? ? ?? ?? ??
Proprietary Elastic Network Adaptor
?? 20Gbps, 30Gbps ?? ??
AWS ?? ????
??? ????
52. Migrating HPC to AWS
Shared File Storage
Cloud-based, auto-scaling HPC cluster
on EC2
License managers and cluster
head nodes with job schedulers
3D graphics virtual workstation
AWS Direct Connect
On-Premises IT
Resources
Thin or Zero Client
- No local data -
Storage CacheAmazon S3
and Glacier