SlideShare una empresa de Scribd logo
1 de 93
Descargar para leer sin conexión
Alex Coqueiro
Solutions Architect, Amazon Web Services
Consumer Business
Milhões de clientes ativos

Operações globais em
diversos paises ao redor
do mundo
Seller"
Business
Vendas nos sites da
Amazon
Tecnologia baseada na
sua própria rede de
varejo
Alavancagem de
centros integrados de
fulfillment
Cloud
Business
Infraestrutura de nuvem
para host de aplicações
corporativass

Centenas de milhares
de clientes em mais de
190 paises
Amplo conjunto de recursos
computacionais que
permitem as empresas
moverem mais rapidamente
CLOUD
Why do researchers love using AWS?
Time to Science
Access research
infrastructure in minutes
Globally Accessible
Easily Collaborate with
researchers around the world
Low Cost
Pay-as-you-go pricing
Secure
A collection of tools to
protect data and privacy
Elastic
Easily add or remove capacity
Scalable
Access to effectively
limitless capacity
Popular HPC workloads on AWS
Genome
processing
Modeling and
Simulation
Government and
Educational Research
Monte Carlo
Simulations
Transcoding and
Encoding
Computational
Chemistry
A marketplace for software in the Cloud
Over 1,900 listings across
23 categories
Customers run over 70M
hours of software per month
AWS Marketplace – HPC category
aws.amazon.com/marketplace
AWS Public Data Sets
aws.amazon.com/marketplace
Free for everyone
AWS Curriculum
http://aws.amazon.com/certification/
Over 1 million active customers across
190 countries
800+ government agencies
3,000+ educational institutions
11 regions
28 availability zones
52 edge locations
Everyday, AWS adds enough new server capacity to support
Amazon.com when it was a $7 billion global enterprise.
Availability
Zone A
Availability
Zone B
Availability
Zone C
Region
Customer Decides Where Applications and Data Reside
Note: Conceptual drawing only. The number of Availability Zones may vary.
Enterprise
Applications
Virtual Desktops Collaboration and Sharing
Platform
Services
Databases
Caching
Relational
No SQL
Analytics
Hadoop
Real-time
Data
Workflows
Data
Warehouse
App Services
Queuing
Orchestration
App Streaming
Transcoding
Email
Search
Deployment & Management
Containers
Dev/ops Tools
Resource Templates
Usage Tracking
Monitoring and Logs
Mobile Services
Identity
Sync
Mobile Analytics
Notifications
Foundation
Services
Compute
(VMs, Auto-scaling
and Load Balancing)
Storage
(Object, Block
and Archive)
Security &
Access Control
Networking
Infrastructure Regions CDN and Points of PresenceAvailability Zones
Compute AnalyticsDatabasesStorage
Imaging
data
Phenotypes
& comparative
analysis
Upstream
analysis
Data mining
Enterprise
Applications
Virtual Desktops Collaboration and Sharing
Platform
Services
Databases
Caching
Relational
No SQL
Analytics
Hadoop
Real-time
Data
Workflows
Data
Warehouse
App Services
Queuing
Orchestration
App Streaming
Transcoding
Email
Search
Deployment & Management
Containers
Dev/ops Tools
Resource Templates
Usage Tracking
Monitoring and Logs
Mobile Services
Identity
Sync
Mobile Analytics
Notifications
Foundation
Services
Compute
(VMs, Auto-scaling
and Load Balancing)
Storage
(Object, Block
and Archive)
Security &
Access Control
Networking
Infrastructure Regions CDN and Points of PresenceAvailability Zones
Amazon EC2
• Resizable compute capacity in >25 instance types
• Reduces the time required to obtain and boot new server
instances to minutes or seconds
• Scale capacity as your computing requirements change
• Pay only for capacity that you actually use
• Choose Linux or Windows
• Deploy across Regions and Availability Zones for reliability
• Support for virtual network interfaces that can be attached to
EC2 instances in your VPC
General
Purpose
(Burstable or Fixed
Performance)
Compute
Optimized
Memory
Optimized
GPU
Instances
Storage
Optimized
Compute Optimized
Name
 vCPU
Memory
(GiB)
Network
c4.large
 2
 3.75
 Moderate
c4.xlarge
 4
 7.5
 Moderate
c4.2xlarge
 8
 15
 High
c4.4xlarge
 16
 30
 High
c4.8xlarge
 36
 60
 10 Gbps
Storage Optimized
Name
 vCPU
 Memory (GiB)
 Network
 HDD
d2.xlarge
 4
 30.5
 Moderate
 3 x 2000
d2.2xlarge
 8
 61
 High
 6 x 2000
d2.4xlarge
 16
 122
 High
 12 x 2000
d2.8xlarge
 36
 244
 10Gb
 24 x 2000
Intel Xeon E5-2670 (Sandy Bridge)
15GB or 60GB RAM
1 NVIDIA Grid k520 GPU
1,536 Cores
4GB Mem
GPU Optimized
Name
 GPU
 vCPU
Memory
(GiB)
Network
 SSD
g2.2xlarge
 1
 8
 15
 High
 1 x 60
g2.8xlarge
 4
 32
 60
 10 Gb
 2 x 120
Demo
Time:+00h
Scale using Elastic Capacity
<10 cores
Time: +24h
Scale using Elastic Capacity
>1500 cores
Time:+72h
Scale using Elastic Capacity
<10 cores
Time: +120h
Scale using Elastic Capacity
>600 cores
Demo
Reserved
Make a low, one-time
payment and receive
a significant discount
on the hourly charge
For committed
utilization
Free Tier
Get Started on AWS
with free usage &
no commitment
For POCs and
getting started
On-Demand
Pay for compute
capacity by the hour
with no long-term
commitments
For spiky workloads,
or to define needs
Spot
Bid for unused
capacity, charged at
a Spot Price which
fluctuates based on
supply and demand
For time-insensitive
or transient
workloads
Dedicated
Launch instances
within Amazon VPC
that run on hardware
dedicated to a single
customer
For highly sensitive or
compliance related
workloads
On
On-demand
Reserved capacity
100%
Capacity Over Time
AWS Spot Market

Achieving economies of scale
Spot
0%
* Prices on April 17, 2015
* Prices on April 17, 2015
* Prices on April 17, 2015
* Prices on April 17, 2015
aws autoscale create-launch-configuration
--launch-configuration-name spotlc-5cents
--image-id ami-e565ba8c
--instance-type d2.2xlarge
--spot-price “0.25”
aws autoscale create-auto-scaling-group
--auto-scaling-group-name spotasg
--launch-configuration spotlc-5cents
--availability-zones “us-east-1a,us-east-1b”
--max-size 16
--min-size 1
--desiredcapacity 3
http://aws.amazon.com/cli/
Demo
Compute AnalyticsDatabasesStorage
Imaging
data
Phenotypes
& comparative
analysis
Upstream
analysis
Data mining
Enterprise
Applications
Virtual Desktops Collaboration and Sharing
Platform
Services
Databases
Caching
Relational
No SQL
Analytics
Hadoop
Real-time
Data
Workflows
Data
Warehouse
App Services
Queuing
Orchestration
App Streaming
Transcoding
Email
Search
Deployment & Management
Containers
Dev/ops Tools
Resource Templates
Usage Tracking
Monitoring and Logs
Mobile Services
Identity
Sync
Mobile Analytics
Notifications
Foundation
Services
Compute
(VMs, Auto-scaling
and Load Balancing)
Storage
(Object, Block
and Archive)
Security &
Access Control
Networking
Infrastructure Regions CDN and Points of PresenceAvailability Zones
AWS region
AZ - B
VPC 10.0.0.0/16
SN 10.0.1.0/24
M
E
E
E
VPC Endpoint
AZ - A
Internet GW Service
SN 10.0.2.0/24
E
E
E
M
E
E
E
S S S
Demo
Enterprise
Applications
Virtual Desktops Collaboration and Sharing
Platform
Services
Databases
Caching
Relational
No SQL
Analytics
Hadoop
Real-time
Data
Workflows
Data
Warehouse
App Services
Queuing
Orchestration
App Streaming
Transcoding
Email
Search
Deployment & Management
Containers
Dev/ops Tools
Resource Templates
Usage Tracking
Monitoring and Logs
Mobile Services
Identity
Sync
Mobile Analytics
Notifications
Foundation
Services
Compute
(VMs, Auto-scaling
and Load Balancing)
Storage
(Object, Block
and Archive)
Security &
Access Control
Networking
Infrastructure Regions CDN and Points of PresenceAvailability Zones
Enterprise
Applications
Virtual Desktops Collaboration and Sharing
Platform
Services
Databases
Caching
Relational
No SQL
Analytics
Hadoop
Real-time
Data
Workflows
Data
Warehouse
App Services
Queuing
Orchestration
App Streaming
Transcoding
Email
Search
Deployment & Management
Containers
Dev/ops Tools
Resource Templates
Usage Tracking
Monitoring and Logs
Mobile Services
Identity
Sync
Mobile Analytics
Notifications
Foundation
Services
Compute
(VMs, Auto-scaling
and Load Balancing)
Storage
(Object, Block
and Archive)
Security &
Access Control
Networking
Infrastructure Regions CDN and Points of PresenceAvailability Zones
Demo
Demo
StorageDatabaseCompute
Cloud automation allows for security agility
“Programmable infrastructure” allows
you to automate every aspect your
environment.
Security properties are “baked in,”
constantly checked via logging and
auditing, and deviations / alarms are
actionable via code
Change and speed of change become
an asset, not a liability
aws ec2 create-vpc --cidr-block 10.0.0.0/16
aws ec2 replace-route --route-table-id $ROUTE_TABLE_ID
--destination-cidr-block 0.0.0.0/0
--instance-id $INSTANCE_ID
aws ec2 attach-network-interface --network-interface-id $ENI
--instance-id $INSTANCE_ID
--device-index 1
aws ec2 assign-private-ip-addresses --network-interface-id $ENI
--private-ip-addresses 10.0.0.100
•  AWS CLI
#!/bin/sh
export AWS_DEFAULT_REGION="us-east-1"
VPC_ID=`aws ec2 create-vpc --cidr-block 10.0.0.0/16 --output text | awk '{print $6;}'`
SUBNET_ID=`aws ec2 create-subnet --vpc-id $VPC_ID --cidr-block 10.0.1.0/24 --output
text | awk '{print $6;}'`
echo "Created $VPC_ID & $SUBNET_ID"
#Clean up
aws ec2 delete-subnet --subnet-id $SUBNET_ID
aws ec2 delete-vpc --vpc-id $VPC_ID
#!/usr/bin/python
import boto.vpc
Region=“us-east-1”
conn = boto.vpc.VPCConnection(Region)
vpc = conn.create_vpc(‘10.0.0.0/16’)
subnet = conn.create_subnet(vpc.id ‘10.0.1.0/24’)
Print "Created “+vpc.id+” & “+subnet.id
#Clean up
conn.delete_subnet(subnet.id)
conn.delete_vpc(vpc.id)
•  Amazon SDK
"Resources" : {
"VPC" : {
"Type" : "AWS::EC2::VPC",
"Properties" : {
"CidrBlock" : “10.0.0.0/16”,
"Tags" : [ { "Key" : “Name", "Value" : “VPCName“ } ]
}
},
"PublicSubnet" : {
"Type" : "AWS::EC2::Subnet",
"Properties" : {
"VpcId" : { "Ref" : "VPC" },
"CidrBlock" : “10.0.1.0/24”,
"Tags" : [ { "Key" : "Network", "Value" : "Public" } ]
}
}
•  AWS CloudFormation
Demo
Try out our HPC CloudFormation-based demo
CfnCluster (“CloudFormation
cluster”)
Command Line Interface Tool
Deploy and demo an HPC cluster
For more info:
https://aws.amazon.com/hpc/
cfncluster
Facilities
Physical security
Compute infrastructure
Storage infrastructure
Network infrastructure
Virtualization layer (EC2)
Hardened service endpoints
Rich IAM capabilities
Network configuration
Security groups
OS firewalls
Operating systems
Applications
Proper service configuration
Auth & acct management
Authorization policies
+ =
•  Re-focus your security professionals on a subset of the problem
•  Take advantage of high levels of uniformity and automation
Customer/Partner Audited
Web Tier
Application Tier
Database TierPorta 80 e 443
Time de Engenharia
com ssh
Todos os demais
acessos bloqueados
Acesso analítico de dados Amazon EC2
Security Group
Firewall
Rich control with AWS’s powerful
Identity & Access Management capabilities
Authentication:
•  Multiple options including rich SAML
federation capabilities, MFA, web
identities
•  Clean separation of identity from
proof of identity
•  Roles are powerful and flexible
pseudo-principals that can be
assumed by other identities
•  Federation scenarios
•  Cross-account access
Network isolation with Virtual Private Cloud
Define your own address space as
extension of private network
Connect to private network with VPN
tunnel or Direct Connect
Configure Security Groups (virtual
firewalls) for all EC2 instances; update
fleet firewall rules with a single API call
Configure Network Access Control Lists
for subnet level isolation and control
Enhanced isolation and control with encryption
Automatic encryption with managed keys
(Key Management Service)
Dedicated hardware security modules
(Cloud HSM)
Bring and use your own keys
Encrypt your data prior to sending to AWS
Your applications in your
data center
Your applications in
Amazon EC2Encrypted
Data
AWS Services
S3 Glacier RedshiftEBS
Encryption Primer
Plaintext
PHI
Hardware/
Software
Encrypted
PHI
Symmetric
Data Key
Encrypted
Data Key
Master KeySymmetric
Data Key
?
Encrypted
Data in Storage
Key Hierarchy
?
S3 Client-Side Encryption
AmazonS3EncryptionClientwithAWSSDKs
Your key management
infrastructure
Your
applications
in your data
center
Your key
management
infrastructure in EC2
Your Encrypted Data in Amazon S3
Your application in
Amazon EC2
AWS SDK with
S3 Encryption Client
S3 SSE with Customer Provided Keys Works
Plaintext
PHI
Encrypted
Data
Customer
Provided KeyS3 Web Server
HTTPS
Customer
PHI
S3 Storage
Fleet
•  Key is used at S3 server, then deleted
•  Customer must provide same key when
downloading to allow S3 to decrypt data
Customer
Provided Key
S3 SSE with AWS fully managed keys
Plaintext
PHI
Encrypted
PHI
Symmetric
Data KeyS3 Web Server
HTTPS
Customer
PHI
Encrypted
Data Key
Master KeySymmetric
Data Key
S3 Storage
Fleet
A master key managed by the S3 service and
protected by systems internal to AWS in a
distinct system
Amazon EBS
Amazon S3
•  HTTPS
•  AES-256 server-side encryption
•  AWS or customer provided or customer managed keys
•  Each object gets its own key
•  End-to-end secure network traffic
•  Whole volume encryption
•  AWS or customer managed keys
•  Encrypted incremental snapshots
•  Minimal performance overhead (utilizes Intel AES-NI)
Integrated with AWS IAM Console
Integrated with Amazon EBS
How AWS Services Integrate with KMS
•  2-tiered key hierarchy using envelope
encryption
•  Data keys encrypt customer data
•  KMS customer master keys encrypt data
keys
•  Benefits:
•  Limits blast radius of compromised
resources and their keys
•  Better performance
•  Easier to manage a small number of master
keys than billions of resource keys
Master Key(s)
Data Key 1
S3 Object EBS
Volume
RDS
Instance
Redshift
Cluster
Data Key 2 Data Key 3 Data Key 4 Data Key 5
Your
Application
Keys encrypted
Data encrypted
KMS
bit.ly/aws-dbgap
aws.amazon.com/hpc
http://bit.ly/aws-dbgap
Architecting for Genomic Data Security and
Compliance in AWS

Más contenido relacionado

La actualidad más candente

Big Data and High Performance Computing Solutions in the AWS Cloud
Big Data and High Performance Computing Solutions in the AWS CloudBig Data and High Performance Computing Solutions in the AWS Cloud
Big Data and High Performance Computing Solutions in the AWS CloudAmazon Web Services
 
(BDT311) MegaRun: Behind the 156,000 Core HPC Run on AWS and Experience of On...
(BDT311) MegaRun: Behind the 156,000 Core HPC Run on AWS and Experience of On...(BDT311) MegaRun: Behind the 156,000 Core HPC Run on AWS and Experience of On...
(BDT311) MegaRun: Behind the 156,000 Core HPC Run on AWS and Experience of On...Amazon Web Services
 
Getting Started with Big Data and HPC in the Cloud - August 2015
Getting Started with Big Data and HPC in the Cloud - August 2015Getting Started with Big Data and HPC in the Cloud - August 2015
Getting Started with Big Data and HPC in the Cloud - August 2015Amazon Web Services
 
Architectures for HPC and HTC Workloads on AWS | AWS Public Sector Summit 2017
Architectures for HPC and HTC Workloads on AWS | AWS Public Sector Summit 2017Architectures for HPC and HTC Workloads on AWS | AWS Public Sector Summit 2017
Architectures for HPC and HTC Workloads on AWS | AWS Public Sector Summit 2017Amazon Web Services
 
High Performance Computing on AWS: Accelerating Innovation with virtually unl...
High Performance Computing on AWS: Accelerating Innovation with virtually unl...High Performance Computing on AWS: Accelerating Innovation with virtually unl...
High Performance Computing on AWS: Accelerating Innovation with virtually unl...Amazon Web Services
 
(BDT201) Big Data and HPC State of the Union | AWS re:Invent 2014
(BDT201) Big Data and HPC State of the Union | AWS re:Invent 2014(BDT201) Big Data and HPC State of the Union | AWS re:Invent 2014
(BDT201) Big Data and HPC State of the Union | AWS re:Invent 2014Amazon Web Services
 
High Performance Computing (HPC) in cloud
High Performance Computing (HPC) in cloudHigh Performance Computing (HPC) in cloud
High Performance Computing (HPC) in cloudAccubits Technologies
 
High Performance Computing (HPC) on AWS 101
High Performance Computing (HPC) on AWS 101High Performance Computing (HPC) on AWS 101
High Performance Computing (HPC) on AWS 101Amazon Web Services
 
AWS re:Invent 2016: Bringing Deep Learning to the Cloud with Amazon EC2 (CMP314)
AWS re:Invent 2016: Bringing Deep Learning to the Cloud with Amazon EC2 (CMP314)AWS re:Invent 2016: Bringing Deep Learning to the Cloud with Amazon EC2 (CMP314)
AWS re:Invent 2016: Bringing Deep Learning to the Cloud with Amazon EC2 (CMP314)Amazon Web Services
 
High Performance Computing Implementation on AWS
High Performance Computing Implementation on AWSHigh Performance Computing Implementation on AWS
High Performance Computing Implementation on AWSAmazon Web Services
 
AWS Webcast - Amazon Kinesis and Apache Storm
AWS Webcast - Amazon Kinesis and Apache StormAWS Webcast - Amazon Kinesis and Apache Storm
AWS Webcast - Amazon Kinesis and Apache StormAmazon Web Services
 
AWS re:Invent 2016: Getting the most Bang for your buck with #EC2 #Winning (C...
AWS re:Invent 2016: Getting the most Bang for your buck with #EC2 #Winning (C...AWS re:Invent 2016: Getting the most Bang for your buck with #EC2 #Winning (C...
AWS re:Invent 2016: Getting the most Bang for your buck with #EC2 #Winning (C...Amazon Web Services
 
Big Data Goes Airborne. Propelling Your Big Data Initiative with Ironcluster ...
Big Data Goes Airborne. Propelling Your Big Data Initiative with Ironcluster ...Big Data Goes Airborne. Propelling Your Big Data Initiative with Ironcluster ...
Big Data Goes Airborne. Propelling Your Big Data Initiative with Ironcluster ...Precisely
 
Challenges for running Hadoop on AWS - AdvancedAWS Meetup
Challenges for running Hadoop on AWS - AdvancedAWS MeetupChallenges for running Hadoop on AWS - AdvancedAWS Meetup
Challenges for running Hadoop on AWS - AdvancedAWS MeetupAndrei Savu
 
BigData- On - AWS Cloud -1
BigData- On - AWS Cloud -1BigData- On - AWS Cloud -1
BigData- On - AWS Cloud -1Milind gunjan
 
Workload-Aware: Auto-Scaling A new paradigm for Big Data Workloads
Workload-Aware: Auto-Scaling A new paradigm for Big Data WorkloadsWorkload-Aware: Auto-Scaling A new paradigm for Big Data Workloads
Workload-Aware: Auto-Scaling A new paradigm for Big Data WorkloadsVasu S
 
AWS re:Invent 2016: Building HPC Clusters as Code in the (Almost) Infinite Cl...
AWS re:Invent 2016: Building HPC Clusters as Code in the (Almost) Infinite Cl...AWS re:Invent 2016: Building HPC Clusters as Code in the (Almost) Infinite Cl...
AWS re:Invent 2016: Building HPC Clusters as Code in the (Almost) Infinite Cl...Amazon Web Services
 
Accelerate your Business with SAP on AWS - AWS Summit Cape Town 2017
Accelerate your Business with SAP on AWS - AWS Summit Cape Town 2017 Accelerate your Business with SAP on AWS - AWS Summit Cape Town 2017
Accelerate your Business with SAP on AWS - AWS Summit Cape Town 2017 Amazon Web Services
 

La actualidad más candente (20)

Big Data and High Performance Computing Solutions in the AWS Cloud
Big Data and High Performance Computing Solutions in the AWS CloudBig Data and High Performance Computing Solutions in the AWS Cloud
Big Data and High Performance Computing Solutions in the AWS Cloud
 
(BDT311) MegaRun: Behind the 156,000 Core HPC Run on AWS and Experience of On...
(BDT311) MegaRun: Behind the 156,000 Core HPC Run on AWS and Experience of On...(BDT311) MegaRun: Behind the 156,000 Core HPC Run on AWS and Experience of On...
(BDT311) MegaRun: Behind the 156,000 Core HPC Run on AWS and Experience of On...
 
Getting Started with Big Data and HPC in the Cloud - August 2015
Getting Started with Big Data and HPC in the Cloud - August 2015Getting Started with Big Data and HPC in the Cloud - August 2015
Getting Started with Big Data and HPC in the Cloud - August 2015
 
Architectures for HPC and HTC Workloads on AWS | AWS Public Sector Summit 2017
Architectures for HPC and HTC Workloads on AWS | AWS Public Sector Summit 2017Architectures for HPC and HTC Workloads on AWS | AWS Public Sector Summit 2017
Architectures for HPC and HTC Workloads on AWS | AWS Public Sector Summit 2017
 
High Performance Computing on AWS: Accelerating Innovation with virtually unl...
High Performance Computing on AWS: Accelerating Innovation with virtually unl...High Performance Computing on AWS: Accelerating Innovation with virtually unl...
High Performance Computing on AWS: Accelerating Innovation with virtually unl...
 
(BDT201) Big Data and HPC State of the Union | AWS re:Invent 2014
(BDT201) Big Data and HPC State of the Union | AWS re:Invent 2014(BDT201) Big Data and HPC State of the Union | AWS re:Invent 2014
(BDT201) Big Data and HPC State of the Union | AWS re:Invent 2014
 
High Performance Computing (HPC) in cloud
High Performance Computing (HPC) in cloudHigh Performance Computing (HPC) in cloud
High Performance Computing (HPC) in cloud
 
High Performance Computing (HPC) on AWS 101
High Performance Computing (HPC) on AWS 101High Performance Computing (HPC) on AWS 101
High Performance Computing (HPC) on AWS 101
 
AWS re:Invent 2016: Bringing Deep Learning to the Cloud with Amazon EC2 (CMP314)
AWS re:Invent 2016: Bringing Deep Learning to the Cloud with Amazon EC2 (CMP314)AWS re:Invent 2016: Bringing Deep Learning to the Cloud with Amazon EC2 (CMP314)
AWS re:Invent 2016: Bringing Deep Learning to the Cloud with Amazon EC2 (CMP314)
 
High Performance Computing Implementation on AWS
High Performance Computing Implementation on AWSHigh Performance Computing Implementation on AWS
High Performance Computing Implementation on AWS
 
AWS Webcast - Amazon Kinesis and Apache Storm
AWS Webcast - Amazon Kinesis and Apache StormAWS Webcast - Amazon Kinesis and Apache Storm
AWS Webcast - Amazon Kinesis and Apache Storm
 
AWS re:Invent 2016: Getting the most Bang for your buck with #EC2 #Winning (C...
AWS re:Invent 2016: Getting the most Bang for your buck with #EC2 #Winning (C...AWS re:Invent 2016: Getting the most Bang for your buck with #EC2 #Winning (C...
AWS re:Invent 2016: Getting the most Bang for your buck with #EC2 #Winning (C...
 
Big Data Goes Airborne. Propelling Your Big Data Initiative with Ironcluster ...
Big Data Goes Airborne. Propelling Your Big Data Initiative with Ironcluster ...Big Data Goes Airborne. Propelling Your Big Data Initiative with Ironcluster ...
Big Data Goes Airborne. Propelling Your Big Data Initiative with Ironcluster ...
 
Challenges for running Hadoop on AWS - AdvancedAWS Meetup
Challenges for running Hadoop on AWS - AdvancedAWS MeetupChallenges for running Hadoop on AWS - AdvancedAWS Meetup
Challenges for running Hadoop on AWS - AdvancedAWS Meetup
 
BigData- On - AWS Cloud -1
BigData- On - AWS Cloud -1BigData- On - AWS Cloud -1
BigData- On - AWS Cloud -1
 
Workload-Aware: Auto-Scaling A new paradigm for Big Data Workloads
Workload-Aware: Auto-Scaling A new paradigm for Big Data WorkloadsWorkload-Aware: Auto-Scaling A new paradigm for Big Data Workloads
Workload-Aware: Auto-Scaling A new paradigm for Big Data Workloads
 
AWS re:Invent 2016: Building HPC Clusters as Code in the (Almost) Infinite Cl...
AWS re:Invent 2016: Building HPC Clusters as Code in the (Almost) Infinite Cl...AWS re:Invent 2016: Building HPC Clusters as Code in the (Almost) Infinite Cl...
AWS re:Invent 2016: Building HPC Clusters as Code in the (Almost) Infinite Cl...
 
Accelerate your Business with SAP on AWS - AWS Summit Cape Town 2017
Accelerate your Business with SAP on AWS - AWS Summit Cape Town 2017 Accelerate your Business with SAP on AWS - AWS Summit Cape Town 2017
Accelerate your Business with SAP on AWS - AWS Summit Cape Town 2017
 
Introduction on Amazon EC2
 Introduction on Amazon EC2 Introduction on Amazon EC2
Introduction on Amazon EC2
 
Intro to HPC on AWS
Intro to HPC on AWSIntro to HPC on AWS
Intro to HPC on AWS
 

Destacado

(ENT214) Flying Through Airport Security Using a Multiregion, Managed Solutio...
(ENT214) Flying Through Airport Security Using a Multiregion, Managed Solutio...(ENT214) Flying Through Airport Security Using a Multiregion, Managed Solutio...
(ENT214) Flying Through Airport Security Using a Multiregion, Managed Solutio...Amazon Web Services
 
(ENT211) Migrating the US Government to the Cloud | AWS re:Invent 2014
(ENT211) Migrating the US Government to the Cloud | AWS re:Invent 2014(ENT211) Migrating the US Government to the Cloud | AWS re:Invent 2014
(ENT211) Migrating the US Government to the Cloud | AWS re:Invent 2014Amazon Web Services
 
AWS Webcast - Build Agile Applications in AWS Cloud for Government
AWS Webcast - Build Agile Applications in AWS Cloud for GovernmentAWS Webcast - Build Agile Applications in AWS Cloud for Government
AWS Webcast - Build Agile Applications in AWS Cloud for GovernmentAmazon Web Services
 
AWS re:Invent 2016: Modernizing Government in the Cloud in Highly Regulated E...
AWS re:Invent 2016: Modernizing Government in the Cloud in Highly Regulated E...AWS re:Invent 2016: Modernizing Government in the Cloud in Highly Regulated E...
AWS re:Invent 2016: Modernizing Government in the Cloud in Highly Regulated E...Amazon Web Services
 
AWS Webcast - Webinar Series for State and Local Government #1: Discover Clou...
AWS Webcast - Webinar Series for State and Local Government #1: Discover Clou...AWS Webcast - Webinar Series for State and Local Government #1: Discover Clou...
AWS Webcast - Webinar Series for State and Local Government #1: Discover Clou...Amazon Web Services
 
(SEC204) AWS GovCloud (US): Not Just for Govies
(SEC204) AWS GovCloud (US): Not Just for Govies(SEC204) AWS GovCloud (US): Not Just for Govies
(SEC204) AWS GovCloud (US): Not Just for GoviesAmazon Web Services
 
AWS Summit Stockholm 2014 – T4 – Continuous integration on AWS
AWS Summit Stockholm 2014 – T4 – Continuous integration on AWSAWS Summit Stockholm 2014 – T4 – Continuous integration on AWS
AWS Summit Stockholm 2014 – T4 – Continuous integration on AWSAmazon Web Services
 
Cloud eHealth in Medical Imaging & Radiology
Cloud eHealth in Medical Imaging & RadiologyCloud eHealth in Medical Imaging & Radiology
Cloud eHealth in Medical Imaging & RadiologyCarestream
 
AWS re:Invent 2016: Using AWS to Meet Requirements for Education, Healthcare ...
AWS re:Invent 2016: Using AWS to Meet Requirements for Education, Healthcare ...AWS re:Invent 2016: Using AWS to Meet Requirements for Education, Healthcare ...
AWS re:Invent 2016: Using AWS to Meet Requirements for Education, Healthcare ...Amazon Web Services
 
AWS re:Invent 2016: High Performance Computing on AWS (CMP207)
AWS re:Invent 2016: High Performance Computing on AWS (CMP207)AWS re:Invent 2016: High Performance Computing on AWS (CMP207)
AWS re:Invent 2016: High Performance Computing on AWS (CMP207)Amazon Web Services
 

Destacado (11)

Fermilab aws on demand
Fermilab aws on demandFermilab aws on demand
Fermilab aws on demand
 
(ENT214) Flying Through Airport Security Using a Multiregion, Managed Solutio...
(ENT214) Flying Through Airport Security Using a Multiregion, Managed Solutio...(ENT214) Flying Through Airport Security Using a Multiregion, Managed Solutio...
(ENT214) Flying Through Airport Security Using a Multiregion, Managed Solutio...
 
(ENT211) Migrating the US Government to the Cloud | AWS re:Invent 2014
(ENT211) Migrating the US Government to the Cloud | AWS re:Invent 2014(ENT211) Migrating the US Government to the Cloud | AWS re:Invent 2014
(ENT211) Migrating the US Government to the Cloud | AWS re:Invent 2014
 
AWS Webcast - Build Agile Applications in AWS Cloud for Government
AWS Webcast - Build Agile Applications in AWS Cloud for GovernmentAWS Webcast - Build Agile Applications in AWS Cloud for Government
AWS Webcast - Build Agile Applications in AWS Cloud for Government
 
AWS re:Invent 2016: Modernizing Government in the Cloud in Highly Regulated E...
AWS re:Invent 2016: Modernizing Government in the Cloud in Highly Regulated E...AWS re:Invent 2016: Modernizing Government in the Cloud in Highly Regulated E...
AWS re:Invent 2016: Modernizing Government in the Cloud in Highly Regulated E...
 
AWS Webcast - Webinar Series for State and Local Government #1: Discover Clou...
AWS Webcast - Webinar Series for State and Local Government #1: Discover Clou...AWS Webcast - Webinar Series for State and Local Government #1: Discover Clou...
AWS Webcast - Webinar Series for State and Local Government #1: Discover Clou...
 
(SEC204) AWS GovCloud (US): Not Just for Govies
(SEC204) AWS GovCloud (US): Not Just for Govies(SEC204) AWS GovCloud (US): Not Just for Govies
(SEC204) AWS GovCloud (US): Not Just for Govies
 
AWS Summit Stockholm 2014 – T4 – Continuous integration on AWS
AWS Summit Stockholm 2014 – T4 – Continuous integration on AWSAWS Summit Stockholm 2014 – T4 – Continuous integration on AWS
AWS Summit Stockholm 2014 – T4 – Continuous integration on AWS
 
Cloud eHealth in Medical Imaging & Radiology
Cloud eHealth in Medical Imaging & RadiologyCloud eHealth in Medical Imaging & Radiology
Cloud eHealth in Medical Imaging & Radiology
 
AWS re:Invent 2016: Using AWS to Meet Requirements for Education, Healthcare ...
AWS re:Invent 2016: Using AWS to Meet Requirements for Education, Healthcare ...AWS re:Invent 2016: Using AWS to Meet Requirements for Education, Healthcare ...
AWS re:Invent 2016: Using AWS to Meet Requirements for Education, Healthcare ...
 
AWS re:Invent 2016: High Performance Computing on AWS (CMP207)
AWS re:Invent 2016: High Performance Computing on AWS (CMP207)AWS re:Invent 2016: High Performance Computing on AWS (CMP207)
AWS re:Invent 2016: High Performance Computing on AWS (CMP207)
 

Similar a HPC in AWS - Technical Workshop

Amazon Webservices Introduction And Core Modules
Amazon Webservices Introduction And Core Modules Amazon Webservices Introduction And Core Modules
Amazon Webservices Introduction And Core Modules Manish Kumar
 
Herramientas Cloud Ninja AWS "From Zero to Hero"
Herramientas Cloud Ninja AWS "From Zero to Hero"Herramientas Cloud Ninja AWS "From Zero to Hero"
Herramientas Cloud Ninja AWS "From Zero to Hero"Amazon Web Services LATAM
 
Astroinformatics 2014: Scientific Computing on the Cloud with Amazon Web Serv...
Astroinformatics 2014: Scientific Computing on the Cloud with Amazon Web Serv...Astroinformatics 2014: Scientific Computing on the Cloud with Amazon Web Serv...
Astroinformatics 2014: Scientific Computing on the Cloud with Amazon Web Serv...Jamie Kinney
 
Herramientas Cloud Ninja AWS "From Zero to Hero"
Herramientas Cloud Ninja AWS "From Zero to Hero"Herramientas Cloud Ninja AWS "From Zero to Hero"
Herramientas Cloud Ninja AWS "From Zero to Hero"Amazon Web Services LATAM
 
Best Practices for Genomic and Bioinformatics Analysis Pipelines on AWS
Best Practices for Genomic and Bioinformatics Analysis Pipelines on AWS Best Practices for Genomic and Bioinformatics Analysis Pipelines on AWS
Best Practices for Genomic and Bioinformatics Analysis Pipelines on AWS Amazon Web Services
 
Vn introduction to cloud computing with amazon web services
Vn   introduction to cloud computing with amazon web servicesVn   introduction to cloud computing with amazon web services
Vn introduction to cloud computing with amazon web servicesAWS Vietnam Community
 
AWS Summit Paris - Keynote Slides
AWS Summit Paris - Keynote SlidesAWS Summit Paris - Keynote Slides
AWS Summit Paris - Keynote SlidesAmazon Web Services
 
Hybrid Infrastructure Integration
Hybrid Infrastructure IntegrationHybrid Infrastructure Integration
Hybrid Infrastructure IntegrationAmazon Web Services
 
SAP HANA INFRA - Amazon Web Services - Cloud
SAP HANA INFRA - Amazon Web Services - CloudSAP HANA INFRA - Amazon Web Services - Cloud
SAP HANA INFRA - Amazon Web Services - CloudSandeep Mahindra
 
Getting Started with Windows Workloads on Amazon EC2 - Toronto
 Getting Started with Windows Workloads on Amazon EC2 - Toronto Getting Started with Windows Workloads on Amazon EC2 - Toronto
Getting Started with Windows Workloads on Amazon EC2 - TorontoAmazon Web Services
 
Aws 101 A walk-through the aws cloud (2013)
Aws 101  A walk-through the aws cloud (2013)Aws 101  A walk-through the aws cloud (2013)
Aws 101 A walk-through the aws cloud (2013)Martin Yan
 
Hybrid Infrastructure Integration
Hybrid Infrastructure IntegrationHybrid Infrastructure Integration
Hybrid Infrastructure IntegrationAmazon Web Services
 
Your First Hour on AWS presented by Chris Hampartsoumian
Your First Hour on AWS presented by Chris HampartsoumianYour First Hour on AWS presented by Chris Hampartsoumian
Your First Hour on AWS presented by Chris HampartsoumianAmazon Web Services
 
Day 1 - Introduction to Cloud Computing with Amazon Web Services
Day 1 - Introduction to Cloud Computing with Amazon Web ServicesDay 1 - Introduction to Cloud Computing with Amazon Web Services
Day 1 - Introduction to Cloud Computing with Amazon Web ServicesAmazon Web Services
 
Comparison Between Top Five Cloud Service Provider In 2020
Comparison Between Top Five Cloud Service Provider In 2020Comparison Between Top Five Cloud Service Provider In 2020
Comparison Between Top Five Cloud Service Provider In 2020Abu Hasnat Md. Shakik Prodhan
 
Scalability strategies for cloud based system architecture
Scalability strategies for cloud based system architectureScalability strategies for cloud based system architecture
Scalability strategies for cloud based system architectureSangJin Kang
 
Azure vs AWS Best Practices: What You Need to Know
Azure vs AWS Best Practices: What You Need to KnowAzure vs AWS Best Practices: What You Need to Know
Azure vs AWS Best Practices: What You Need to KnowRightScale
 

Similar a HPC in AWS - Technical Workshop (20)

AWS 101 Event - 16 July 2013
AWS 101 Event - 16 July 2013AWS 101 Event - 16 July 2013
AWS 101 Event - 16 July 2013
 
Amazon Webservices Introduction And Core Modules
Amazon Webservices Introduction And Core Modules Amazon Webservices Introduction And Core Modules
Amazon Webservices Introduction And Core Modules
 
Herramientas Cloud Ninja AWS "From Zero to Hero"
Herramientas Cloud Ninja AWS "From Zero to Hero"Herramientas Cloud Ninja AWS "From Zero to Hero"
Herramientas Cloud Ninja AWS "From Zero to Hero"
 
What is Cloud Computing?
What is Cloud Computing?What is Cloud Computing?
What is Cloud Computing?
 
Astroinformatics 2014: Scientific Computing on the Cloud with Amazon Web Serv...
Astroinformatics 2014: Scientific Computing on the Cloud with Amazon Web Serv...Astroinformatics 2014: Scientific Computing on the Cloud with Amazon Web Serv...
Astroinformatics 2014: Scientific Computing on the Cloud with Amazon Web Serv...
 
Herramientas Cloud Ninja AWS "From Zero to Hero"
Herramientas Cloud Ninja AWS "From Zero to Hero"Herramientas Cloud Ninja AWS "From Zero to Hero"
Herramientas Cloud Ninja AWS "From Zero to Hero"
 
Best Practices for Genomic and Bioinformatics Analysis Pipelines on AWS
Best Practices for Genomic and Bioinformatics Analysis Pipelines on AWS Best Practices for Genomic and Bioinformatics Analysis Pipelines on AWS
Best Practices for Genomic and Bioinformatics Analysis Pipelines on AWS
 
Vn introduction to cloud computing with amazon web services
Vn   introduction to cloud computing with amazon web servicesVn   introduction to cloud computing with amazon web services
Vn introduction to cloud computing with amazon web services
 
AWS Summit Paris - Keynote Slides
AWS Summit Paris - Keynote SlidesAWS Summit Paris - Keynote Slides
AWS Summit Paris - Keynote Slides
 
Hybrid Infrastructure Integration
Hybrid Infrastructure IntegrationHybrid Infrastructure Integration
Hybrid Infrastructure Integration
 
SAP HANA INFRA - Amazon Web Services - Cloud
SAP HANA INFRA - Amazon Web Services - CloudSAP HANA INFRA - Amazon Web Services - Cloud
SAP HANA INFRA - Amazon Web Services - Cloud
 
Getting Started with Windows Workloads on Amazon EC2 - Toronto
 Getting Started with Windows Workloads on Amazon EC2 - Toronto Getting Started with Windows Workloads on Amazon EC2 - Toronto
Getting Started with Windows Workloads on Amazon EC2 - Toronto
 
Aws 101 A walk-through the aws cloud (2013)
Aws 101  A walk-through the aws cloud (2013)Aws 101  A walk-through the aws cloud (2013)
Aws 101 A walk-through the aws cloud (2013)
 
Hybrid Infrastructure Integration
Hybrid Infrastructure IntegrationHybrid Infrastructure Integration
Hybrid Infrastructure Integration
 
Your First Hour on AWS presented by Chris Hampartsoumian
Your First Hour on AWS presented by Chris HampartsoumianYour First Hour on AWS presented by Chris Hampartsoumian
Your First Hour on AWS presented by Chris Hampartsoumian
 
Day 1 - Introduction to Cloud Computing with Amazon Web Services
Day 1 - Introduction to Cloud Computing with Amazon Web ServicesDay 1 - Introduction to Cloud Computing with Amazon Web Services
Day 1 - Introduction to Cloud Computing with Amazon Web Services
 
Keynote sp summit 2014 final
Keynote sp summit 2014  finalKeynote sp summit 2014  final
Keynote sp summit 2014 final
 
Comparison Between Top Five Cloud Service Provider In 2020
Comparison Between Top Five Cloud Service Provider In 2020Comparison Between Top Five Cloud Service Provider In 2020
Comparison Between Top Five Cloud Service Provider In 2020
 
Scalability strategies for cloud based system architecture
Scalability strategies for cloud based system architectureScalability strategies for cloud based system architecture
Scalability strategies for cloud based system architecture
 
Azure vs AWS Best Practices: What You Need to Know
Azure vs AWS Best Practices: What You Need to KnowAzure vs AWS Best Practices: What You Need to Know
Azure vs AWS Best Practices: What You Need to Know
 

Más de Alex Barbosa Coqueiro

Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfAlex Barbosa Coqueiro
 
Generative Artificial Intelligence for Macro-Fiscal Risks.pdf
Generative Artificial Intelligencefor Macro-Fiscal Risks.pdfGenerative Artificial Intelligencefor Macro-Fiscal Risks.pdf
Generative Artificial Intelligence for Macro-Fiscal Risks.pdfAlex Barbosa Coqueiro
 
Unlocking the Power of Quantum Computing dist.pdf
Unlocking the Power of Quantum Computing dist.pdfUnlocking the Power of Quantum Computing dist.pdf
Unlocking the Power of Quantum Computing dist.pdfAlex Barbosa Coqueiro
 
Building Robotics Application at Scale using OpenSource from Zero to Hero
Building Robotics Application at Scale using OpenSource from Zero to HeroBuilding Robotics Application at Scale using OpenSource from Zero to Hero
Building Robotics Application at Scale using OpenSource from Zero to HeroAlex Barbosa Coqueiro
 
Building Your Robot using AWS Robomaker
Building Your Robot using AWS RobomakerBuilding Your Robot using AWS Robomaker
Building Your Robot using AWS RobomakerAlex Barbosa Coqueiro
 
Desafios da transição de estado em um mundo serverless
Desafios da transição de estado em um mundo serverlessDesafios da transição de estado em um mundo serverless
Desafios da transição de estado em um mundo serverlessAlex Barbosa Coqueiro
 
Reinforcement Learning with Sagemaker, DeepRacer and Robomaker
Reinforcement Learning with Sagemaker, DeepRacer and RobomakerReinforcement Learning with Sagemaker, DeepRacer and Robomaker
Reinforcement Learning with Sagemaker, DeepRacer and RobomakerAlex Barbosa Coqueiro
 
A maturidade dos sistemas tecnológicos e a migração para a nuvem. Como lidar?
A maturidade dos sistemas tecnológicos e a migração para a nuvem. Como lidar?A maturidade dos sistemas tecnológicos e a migração para a nuvem. Como lidar?
A maturidade dos sistemas tecnológicos e a migração para a nuvem. Como lidar?Alex Barbosa Coqueiro
 
Deploying Bigdata from Zero to Million of records in Amazon Web Services
Deploying Bigdata from Zero to Million of records in Amazon Web ServicesDeploying Bigdata from Zero to Million of records in Amazon Web Services
Deploying Bigdata from Zero to Million of records in Amazon Web ServicesAlex Barbosa Coqueiro
 
Migração do seu website para a AWS
Migração do seu website para a AWSMigração do seu website para a AWS
Migração do seu website para a AWSAlex Barbosa Coqueiro
 
Seminario de Cloud Computing na UFRRJ
Seminario de Cloud Computing na UFRRJSeminario de Cloud Computing na UFRRJ
Seminario de Cloud Computing na UFRRJAlex Barbosa Coqueiro
 
IBM Mobile Platform: Desenvolvimento de Aplicações Mobile
IBM Mobile Platform: Desenvolvimento de Aplicações MobileIBM Mobile Platform: Desenvolvimento de Aplicações Mobile
IBM Mobile Platform: Desenvolvimento de Aplicações MobileAlex Barbosa Coqueiro
 
Webcast WebSphere Portal Performance
Webcast WebSphere Portal PerformanceWebcast WebSphere Portal Performance
Webcast WebSphere Portal PerformanceAlex Barbosa Coqueiro
 

Más de Alex Barbosa Coqueiro (15)

Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdf
 
Generative Artificial Intelligence for Macro-Fiscal Risks.pdf
Generative Artificial Intelligencefor Macro-Fiscal Risks.pdfGenerative Artificial Intelligencefor Macro-Fiscal Risks.pdf
Generative Artificial Intelligence for Macro-Fiscal Risks.pdf
 
Unlocking the Power of Quantum Computing dist.pdf
Unlocking the Power of Quantum Computing dist.pdfUnlocking the Power of Quantum Computing dist.pdf
Unlocking the Power of Quantum Computing dist.pdf
 
Building Robotics Application at Scale using OpenSource from Zero to Hero
Building Robotics Application at Scale using OpenSource from Zero to HeroBuilding Robotics Application at Scale using OpenSource from Zero to Hero
Building Robotics Application at Scale using OpenSource from Zero to Hero
 
Building Your Robot using AWS Robomaker
Building Your Robot using AWS RobomakerBuilding Your Robot using AWS Robomaker
Building Your Robot using AWS Robomaker
 
Desafios da transição de estado em um mundo serverless
Desafios da transição de estado em um mundo serverlessDesafios da transição de estado em um mundo serverless
Desafios da transição de estado em um mundo serverless
 
Reinforcement Learning with Sagemaker, DeepRacer and Robomaker
Reinforcement Learning with Sagemaker, DeepRacer and RobomakerReinforcement Learning with Sagemaker, DeepRacer and Robomaker
Reinforcement Learning with Sagemaker, DeepRacer and Robomaker
 
Webinar de Dados Abertos na AWS
Webinar de Dados Abertos na AWSWebinar de Dados Abertos na AWS
Webinar de Dados Abertos na AWS
 
A maturidade dos sistemas tecnológicos e a migração para a nuvem. Como lidar?
A maturidade dos sistemas tecnológicos e a migração para a nuvem. Como lidar?A maturidade dos sistemas tecnológicos e a migração para a nuvem. Como lidar?
A maturidade dos sistemas tecnológicos e a migração para a nuvem. Como lidar?
 
Deploying Bigdata from Zero to Million of records in Amazon Web Services
Deploying Bigdata from Zero to Million of records in Amazon Web ServicesDeploying Bigdata from Zero to Million of records in Amazon Web Services
Deploying Bigdata from Zero to Million of records in Amazon Web Services
 
Migração do seu website para a AWS
Migração do seu website para a AWSMigração do seu website para a AWS
Migração do seu website para a AWS
 
Seminario de Cloud Computing na UFRRJ
Seminario de Cloud Computing na UFRRJSeminario de Cloud Computing na UFRRJ
Seminario de Cloud Computing na UFRRJ
 
IBM Mobile Platform: Desenvolvimento de Aplicações Mobile
IBM Mobile Platform: Desenvolvimento de Aplicações MobileIBM Mobile Platform: Desenvolvimento de Aplicações Mobile
IBM Mobile Platform: Desenvolvimento de Aplicações Mobile
 
Just java 2011
Just java   2011Just java   2011
Just java 2011
 
Webcast WebSphere Portal Performance
Webcast WebSphere Portal PerformanceWebcast WebSphere Portal Performance
Webcast WebSphere Portal Performance
 

Último

Schema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdfSchema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdfLars Albertsson
 
Edukaciniai dropshipping via API with DroFx
Edukaciniai dropshipping via API with DroFxEdukaciniai dropshipping via API with DroFx
Edukaciniai dropshipping via API with DroFxolyaivanovalion
 
BabyOno dropshipping via API with DroFx.pptx
BabyOno dropshipping via API with DroFx.pptxBabyOno dropshipping via API with DroFx.pptx
BabyOno dropshipping via API with DroFx.pptxolyaivanovalion
 
Week-01-2.ppt BBB human Computer interaction
Week-01-2.ppt BBB human Computer interactionWeek-01-2.ppt BBB human Computer interaction
Week-01-2.ppt BBB human Computer interactionfulawalesam
 
Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...
Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...
Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...amitlee9823
 
Call me @ 9892124323 Cheap Rate Call Girls in Vashi with Real Photo 100% Secure
Call me @ 9892124323  Cheap Rate Call Girls in Vashi with Real Photo 100% SecureCall me @ 9892124323  Cheap Rate Call Girls in Vashi with Real Photo 100% Secure
Call me @ 9892124323 Cheap Rate Call Girls in Vashi with Real Photo 100% SecurePooja Nehwal
 
Zuja dropshipping via API with DroFx.pptx
Zuja dropshipping via API with DroFx.pptxZuja dropshipping via API with DroFx.pptx
Zuja dropshipping via API with DroFx.pptxolyaivanovalion
 
BigBuy dropshipping via API with DroFx.pptx
BigBuy dropshipping via API with DroFx.pptxBigBuy dropshipping via API with DroFx.pptx
BigBuy dropshipping via API with DroFx.pptxolyaivanovalion
 
FESE Capital Markets Fact Sheet 2024 Q1.pdf
FESE Capital Markets Fact Sheet 2024 Q1.pdfFESE Capital Markets Fact Sheet 2024 Q1.pdf
FESE Capital Markets Fact Sheet 2024 Q1.pdfMarinCaroMartnezBerg
 
Midocean dropshipping via API with DroFx
Midocean dropshipping via API with DroFxMidocean dropshipping via API with DroFx
Midocean dropshipping via API with DroFxolyaivanovalion
 
Carero dropshipping via API with DroFx.pptx
Carero dropshipping via API with DroFx.pptxCarero dropshipping via API with DroFx.pptx
Carero dropshipping via API with DroFx.pptxolyaivanovalion
 
Junnasandra Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...
Junnasandra Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...Junnasandra Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...
Junnasandra Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...amitlee9823
 
Discover Why Less is More in B2B Research
Discover Why Less is More in B2B ResearchDiscover Why Less is More in B2B Research
Discover Why Less is More in B2B Researchmichael115558
 
Vip Model Call Girls (Delhi) Karol Bagh 9711199171✔️Body to body massage wit...
Vip Model  Call Girls (Delhi) Karol Bagh 9711199171✔️Body to body massage wit...Vip Model  Call Girls (Delhi) Karol Bagh 9711199171✔️Body to body massage wit...
Vip Model Call Girls (Delhi) Karol Bagh 9711199171✔️Body to body massage wit...shivangimorya083
 
Data-Analysis for Chicago Crime Data 2023
Data-Analysis for Chicago Crime Data  2023Data-Analysis for Chicago Crime Data  2023
Data-Analysis for Chicago Crime Data 2023ymrp368
 
VidaXL dropshipping via API with DroFx.pptx
VidaXL dropshipping via API with DroFx.pptxVidaXL dropshipping via API with DroFx.pptx
VidaXL dropshipping via API with DroFx.pptxolyaivanovalion
 

Último (20)

Schema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdfSchema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdf
 
Edukaciniai dropshipping via API with DroFx
Edukaciniai dropshipping via API with DroFxEdukaciniai dropshipping via API with DroFx
Edukaciniai dropshipping via API with DroFx
 
Call Girls In Shalimar Bagh ( Delhi) 9953330565 Escorts Service
Call Girls In Shalimar Bagh ( Delhi) 9953330565 Escorts ServiceCall Girls In Shalimar Bagh ( Delhi) 9953330565 Escorts Service
Call Girls In Shalimar Bagh ( Delhi) 9953330565 Escorts Service
 
BabyOno dropshipping via API with DroFx.pptx
BabyOno dropshipping via API with DroFx.pptxBabyOno dropshipping via API with DroFx.pptx
BabyOno dropshipping via API with DroFx.pptx
 
Week-01-2.ppt BBB human Computer interaction
Week-01-2.ppt BBB human Computer interactionWeek-01-2.ppt BBB human Computer interaction
Week-01-2.ppt BBB human Computer interaction
 
Sampling (random) method and Non random.ppt
Sampling (random) method and Non random.pptSampling (random) method and Non random.ppt
Sampling (random) method and Non random.ppt
 
Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...
Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...
Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...
 
Call me @ 9892124323 Cheap Rate Call Girls in Vashi with Real Photo 100% Secure
Call me @ 9892124323  Cheap Rate Call Girls in Vashi with Real Photo 100% SecureCall me @ 9892124323  Cheap Rate Call Girls in Vashi with Real Photo 100% Secure
Call me @ 9892124323 Cheap Rate Call Girls in Vashi with Real Photo 100% Secure
 
Zuja dropshipping via API with DroFx.pptx
Zuja dropshipping via API with DroFx.pptxZuja dropshipping via API with DroFx.pptx
Zuja dropshipping via API with DroFx.pptx
 
BigBuy dropshipping via API with DroFx.pptx
BigBuy dropshipping via API with DroFx.pptxBigBuy dropshipping via API with DroFx.pptx
BigBuy dropshipping via API with DroFx.pptx
 
FESE Capital Markets Fact Sheet 2024 Q1.pdf
FESE Capital Markets Fact Sheet 2024 Q1.pdfFESE Capital Markets Fact Sheet 2024 Q1.pdf
FESE Capital Markets Fact Sheet 2024 Q1.pdf
 
Abortion pills in Doha Qatar (+966572737505 ! Get Cytotec
Abortion pills in Doha Qatar (+966572737505 ! Get CytotecAbortion pills in Doha Qatar (+966572737505 ! Get Cytotec
Abortion pills in Doha Qatar (+966572737505 ! Get Cytotec
 
Midocean dropshipping via API with DroFx
Midocean dropshipping via API with DroFxMidocean dropshipping via API with DroFx
Midocean dropshipping via API with DroFx
 
Carero dropshipping via API with DroFx.pptx
Carero dropshipping via API with DroFx.pptxCarero dropshipping via API with DroFx.pptx
Carero dropshipping via API with DroFx.pptx
 
Junnasandra Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...
Junnasandra Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...Junnasandra Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...
Junnasandra Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...
 
Discover Why Less is More in B2B Research
Discover Why Less is More in B2B ResearchDiscover Why Less is More in B2B Research
Discover Why Less is More in B2B Research
 
CHEAP Call Girls in Saket (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
CHEAP Call Girls in Saket (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICECHEAP Call Girls in Saket (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
CHEAP Call Girls in Saket (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
 
Vip Model Call Girls (Delhi) Karol Bagh 9711199171✔️Body to body massage wit...
Vip Model  Call Girls (Delhi) Karol Bagh 9711199171✔️Body to body massage wit...Vip Model  Call Girls (Delhi) Karol Bagh 9711199171✔️Body to body massage wit...
Vip Model Call Girls (Delhi) Karol Bagh 9711199171✔️Body to body massage wit...
 
Data-Analysis for Chicago Crime Data 2023
Data-Analysis for Chicago Crime Data  2023Data-Analysis for Chicago Crime Data  2023
Data-Analysis for Chicago Crime Data 2023
 
VidaXL dropshipping via API with DroFx.pptx
VidaXL dropshipping via API with DroFx.pptxVidaXL dropshipping via API with DroFx.pptx
VidaXL dropshipping via API with DroFx.pptx
 

HPC in AWS - Technical Workshop

  • 2.
  • 3.
  • 4. Consumer Business Milhões de clientes ativos Operações globais em diversos paises ao redor do mundo Seller" Business Vendas nos sites da Amazon Tecnologia baseada na sua própria rede de varejo Alavancagem de centros integrados de fulfillment Cloud Business Infraestrutura de nuvem para host de aplicações corporativass Centenas de milhares de clientes em mais de 190 paises
  • 5. Amplo conjunto de recursos computacionais que permitem as empresas moverem mais rapidamente CLOUD
  • 6.
  • 7. Why do researchers love using AWS? Time to Science Access research infrastructure in minutes Globally Accessible Easily Collaborate with researchers around the world Low Cost Pay-as-you-go pricing Secure A collection of tools to protect data and privacy Elastic Easily add or remove capacity Scalable Access to effectively limitless capacity
  • 8. Popular HPC workloads on AWS Genome processing Modeling and Simulation Government and Educational Research Monte Carlo Simulations Transcoding and Encoding Computational Chemistry
  • 9.
  • 10. A marketplace for software in the Cloud Over 1,900 listings across 23 categories Customers run over 70M hours of software per month
  • 11. AWS Marketplace – HPC category aws.amazon.com/marketplace
  • 12. AWS Public Data Sets aws.amazon.com/marketplace Free for everyone
  • 14.
  • 15. Over 1 million active customers across 190 countries 800+ government agencies 3,000+ educational institutions 11 regions 28 availability zones 52 edge locations Everyday, AWS adds enough new server capacity to support Amazon.com when it was a $7 billion global enterprise.
  • 16. Availability Zone A Availability Zone B Availability Zone C Region Customer Decides Where Applications and Data Reside Note: Conceptual drawing only. The number of Availability Zones may vary.
  • 17. Enterprise Applications Virtual Desktops Collaboration and Sharing Platform Services Databases Caching Relational No SQL Analytics Hadoop Real-time Data Workflows Data Warehouse App Services Queuing Orchestration App Streaming Transcoding Email Search Deployment & Management Containers Dev/ops Tools Resource Templates Usage Tracking Monitoring and Logs Mobile Services Identity Sync Mobile Analytics Notifications Foundation Services Compute (VMs, Auto-scaling and Load Balancing) Storage (Object, Block and Archive) Security & Access Control Networking Infrastructure Regions CDN and Points of PresenceAvailability Zones
  • 19.
  • 20. Enterprise Applications Virtual Desktops Collaboration and Sharing Platform Services Databases Caching Relational No SQL Analytics Hadoop Real-time Data Workflows Data Warehouse App Services Queuing Orchestration App Streaming Transcoding Email Search Deployment & Management Containers Dev/ops Tools Resource Templates Usage Tracking Monitoring and Logs Mobile Services Identity Sync Mobile Analytics Notifications Foundation Services Compute (VMs, Auto-scaling and Load Balancing) Storage (Object, Block and Archive) Security & Access Control Networking Infrastructure Regions CDN and Points of PresenceAvailability Zones
  • 22.
  • 23. • Resizable compute capacity in >25 instance types • Reduces the time required to obtain and boot new server instances to minutes or seconds • Scale capacity as your computing requirements change • Pay only for capacity that you actually use • Choose Linux or Windows • Deploy across Regions and Availability Zones for reliability • Support for virtual network interfaces that can be attached to EC2 instances in your VPC
  • 25. Compute Optimized Name vCPU Memory (GiB) Network c4.large 2 3.75 Moderate c4.xlarge 4 7.5 Moderate c4.2xlarge 8 15 High c4.4xlarge 16 30 High c4.8xlarge 36 60 10 Gbps
  • 26. Storage Optimized Name vCPU Memory (GiB) Network HDD d2.xlarge 4 30.5 Moderate 3 x 2000 d2.2xlarge 8 61 High 6 x 2000 d2.4xlarge 16 122 High 12 x 2000 d2.8xlarge 36 244 10Gb 24 x 2000
  • 27. Intel Xeon E5-2670 (Sandy Bridge) 15GB or 60GB RAM 1 NVIDIA Grid k520 GPU 1,536 Cores 4GB Mem GPU Optimized Name GPU vCPU Memory (GiB) Network SSD g2.2xlarge 1 8 15 High 1 x 60 g2.8xlarge 4 32 60 10 Gb 2 x 120
  • 28. Demo
  • 29.
  • 30. Time:+00h Scale using Elastic Capacity <10 cores
  • 31. Time: +24h Scale using Elastic Capacity >1500 cores
  • 32. Time:+72h Scale using Elastic Capacity <10 cores
  • 33. Time: +120h Scale using Elastic Capacity >600 cores
  • 34. Demo
  • 35.
  • 36. Reserved Make a low, one-time payment and receive a significant discount on the hourly charge For committed utilization Free Tier Get Started on AWS with free usage & no commitment For POCs and getting started On-Demand Pay for compute capacity by the hour with no long-term commitments For spiky workloads, or to define needs Spot Bid for unused capacity, charged at a Spot Price which fluctuates based on supply and demand For time-insensitive or transient workloads Dedicated Launch instances within Amazon VPC that run on hardware dedicated to a single customer For highly sensitive or compliance related workloads
  • 37.
  • 38. On On-demand Reserved capacity 100% Capacity Over Time AWS Spot Market
 Achieving economies of scale Spot 0%
  • 39.
  • 40.
  • 41.
  • 42. * Prices on April 17, 2015
  • 43. * Prices on April 17, 2015
  • 44. * Prices on April 17, 2015
  • 45. * Prices on April 17, 2015
  • 46.
  • 47. aws autoscale create-launch-configuration --launch-configuration-name spotlc-5cents --image-id ami-e565ba8c --instance-type d2.2xlarge --spot-price “0.25” aws autoscale create-auto-scaling-group --auto-scaling-group-name spotasg --launch-configuration spotlc-5cents --availability-zones “us-east-1a,us-east-1b” --max-size 16 --min-size 1 --desiredcapacity 3 http://aws.amazon.com/cli/
  • 48. Demo
  • 49.
  • 51.
  • 52. Enterprise Applications Virtual Desktops Collaboration and Sharing Platform Services Databases Caching Relational No SQL Analytics Hadoop Real-time Data Workflows Data Warehouse App Services Queuing Orchestration App Streaming Transcoding Email Search Deployment & Management Containers Dev/ops Tools Resource Templates Usage Tracking Monitoring and Logs Mobile Services Identity Sync Mobile Analytics Notifications Foundation Services Compute (VMs, Auto-scaling and Load Balancing) Storage (Object, Block and Archive) Security & Access Control Networking Infrastructure Regions CDN and Points of PresenceAvailability Zones
  • 53.
  • 54.
  • 55.
  • 56. AWS region AZ - B VPC 10.0.0.0/16 SN 10.0.1.0/24 M E E E VPC Endpoint AZ - A Internet GW Service SN 10.0.2.0/24 E E E
  • 58. Demo
  • 59. Enterprise Applications Virtual Desktops Collaboration and Sharing Platform Services Databases Caching Relational No SQL Analytics Hadoop Real-time Data Workflows Data Warehouse App Services Queuing Orchestration App Streaming Transcoding Email Search Deployment & Management Containers Dev/ops Tools Resource Templates Usage Tracking Monitoring and Logs Mobile Services Identity Sync Mobile Analytics Notifications Foundation Services Compute (VMs, Auto-scaling and Load Balancing) Storage (Object, Block and Archive) Security & Access Control Networking Infrastructure Regions CDN and Points of PresenceAvailability Zones
  • 60.
  • 61. Enterprise Applications Virtual Desktops Collaboration and Sharing Platform Services Databases Caching Relational No SQL Analytics Hadoop Real-time Data Workflows Data Warehouse App Services Queuing Orchestration App Streaming Transcoding Email Search Deployment & Management Containers Dev/ops Tools Resource Templates Usage Tracking Monitoring and Logs Mobile Services Identity Sync Mobile Analytics Notifications Foundation Services Compute (VMs, Auto-scaling and Load Balancing) Storage (Object, Block and Archive) Security & Access Control Networking Infrastructure Regions CDN and Points of PresenceAvailability Zones
  • 62.
  • 63. Demo
  • 64. Demo
  • 66.
  • 67. Cloud automation allows for security agility “Programmable infrastructure” allows you to automate every aspect your environment. Security properties are “baked in,” constantly checked via logging and auditing, and deviations / alarms are actionable via code Change and speed of change become an asset, not a liability
  • 68. aws ec2 create-vpc --cidr-block 10.0.0.0/16 aws ec2 replace-route --route-table-id $ROUTE_TABLE_ID --destination-cidr-block 0.0.0.0/0 --instance-id $INSTANCE_ID aws ec2 attach-network-interface --network-interface-id $ENI --instance-id $INSTANCE_ID --device-index 1 aws ec2 assign-private-ip-addresses --network-interface-id $ENI --private-ip-addresses 10.0.0.100 •  AWS CLI
  • 69. #!/bin/sh export AWS_DEFAULT_REGION="us-east-1" VPC_ID=`aws ec2 create-vpc --cidr-block 10.0.0.0/16 --output text | awk '{print $6;}'` SUBNET_ID=`aws ec2 create-subnet --vpc-id $VPC_ID --cidr-block 10.0.1.0/24 --output text | awk '{print $6;}'` echo "Created $VPC_ID & $SUBNET_ID" #Clean up aws ec2 delete-subnet --subnet-id $SUBNET_ID aws ec2 delete-vpc --vpc-id $VPC_ID
  • 70. #!/usr/bin/python import boto.vpc Region=“us-east-1” conn = boto.vpc.VPCConnection(Region) vpc = conn.create_vpc(‘10.0.0.0/16’) subnet = conn.create_subnet(vpc.id ‘10.0.1.0/24’) Print "Created “+vpc.id+” & “+subnet.id #Clean up conn.delete_subnet(subnet.id) conn.delete_vpc(vpc.id) •  Amazon SDK
  • 71. "Resources" : { "VPC" : { "Type" : "AWS::EC2::VPC", "Properties" : { "CidrBlock" : “10.0.0.0/16”, "Tags" : [ { "Key" : “Name", "Value" : “VPCName“ } ] } }, "PublicSubnet" : { "Type" : "AWS::EC2::Subnet", "Properties" : { "VpcId" : { "Ref" : "VPC" }, "CidrBlock" : “10.0.1.0/24”, "Tags" : [ { "Key" : "Network", "Value" : "Public" } ] } } •  AWS CloudFormation
  • 72. Demo
  • 73. Try out our HPC CloudFormation-based demo CfnCluster (“CloudFormation cluster”) Command Line Interface Tool Deploy and demo an HPC cluster For more info: https://aws.amazon.com/hpc/ cfncluster
  • 74.
  • 75. Facilities Physical security Compute infrastructure Storage infrastructure Network infrastructure Virtualization layer (EC2) Hardened service endpoints Rich IAM capabilities Network configuration Security groups OS firewalls Operating systems Applications Proper service configuration Auth & acct management Authorization policies + = •  Re-focus your security professionals on a subset of the problem •  Take advantage of high levels of uniformity and automation Customer/Partner Audited
  • 76. Web Tier Application Tier Database TierPorta 80 e 443 Time de Engenharia com ssh Todos os demais acessos bloqueados Acesso analítico de dados Amazon EC2 Security Group Firewall
  • 77. Rich control with AWS’s powerful Identity & Access Management capabilities Authentication: •  Multiple options including rich SAML federation capabilities, MFA, web identities •  Clean separation of identity from proof of identity •  Roles are powerful and flexible pseudo-principals that can be assumed by other identities •  Federation scenarios •  Cross-account access
  • 78. Network isolation with Virtual Private Cloud Define your own address space as extension of private network Connect to private network with VPN tunnel or Direct Connect Configure Security Groups (virtual firewalls) for all EC2 instances; update fleet firewall rules with a single API call Configure Network Access Control Lists for subnet level isolation and control
  • 79. Enhanced isolation and control with encryption Automatic encryption with managed keys (Key Management Service) Dedicated hardware security modules (Cloud HSM) Bring and use your own keys
  • 80. Encrypt your data prior to sending to AWS Your applications in your data center Your applications in Amazon EC2Encrypted Data AWS Services S3 Glacier RedshiftEBS
  • 81. Encryption Primer Plaintext PHI Hardware/ Software Encrypted PHI Symmetric Data Key Encrypted Data Key Master KeySymmetric Data Key ? Encrypted Data in Storage Key Hierarchy ?
  • 82. S3 Client-Side Encryption AmazonS3EncryptionClientwithAWSSDKs Your key management infrastructure Your applications in your data center Your key management infrastructure in EC2 Your Encrypted Data in Amazon S3 Your application in Amazon EC2 AWS SDK with S3 Encryption Client
  • 83. S3 SSE with Customer Provided Keys Works Plaintext PHI Encrypted Data Customer Provided KeyS3 Web Server HTTPS Customer PHI S3 Storage Fleet •  Key is used at S3 server, then deleted •  Customer must provide same key when downloading to allow S3 to decrypt data Customer Provided Key
  • 84. S3 SSE with AWS fully managed keys Plaintext PHI Encrypted PHI Symmetric Data KeyS3 Web Server HTTPS Customer PHI Encrypted Data Key Master KeySymmetric Data Key S3 Storage Fleet A master key managed by the S3 service and protected by systems internal to AWS in a distinct system
  • 85. Amazon EBS Amazon S3 •  HTTPS •  AES-256 server-side encryption •  AWS or customer provided or customer managed keys •  Each object gets its own key •  End-to-end secure network traffic •  Whole volume encryption •  AWS or customer managed keys •  Encrypted incremental snapshots •  Minimal performance overhead (utilizes Intel AES-NI)
  • 86.
  • 87.
  • 88. Integrated with AWS IAM Console
  • 90. How AWS Services Integrate with KMS •  2-tiered key hierarchy using envelope encryption •  Data keys encrypt customer data •  KMS customer master keys encrypt data keys •  Benefits: •  Limits blast radius of compromised resources and their keys •  Better performance •  Easier to manage a small number of master keys than billions of resource keys Master Key(s) Data Key 1 S3 Object EBS Volume RDS Instance Redshift Cluster Data Key 2 Data Key 3 Data Key 4 Data Key 5 Your Application Keys encrypted Data encrypted KMS
  • 93. http://bit.ly/aws-dbgap Architecting for Genomic Data Security and Compliance in AWS