1 NETE4631 Amazon Cloud Offerings Lecture Notes #6.
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NETE4631Amazon Cloud Offerings
Lecture Notes #6
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Cloud Deployment Models - Recap
Public clouds Private clouds Hybrid clouds
2The models by the US National institute of standards and technology (NIST)
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Moving applications to the cloud –Recap(2)
Deploy Application to the cloud? Entirely or Part of the application is on the
local system and another part is in the cloud Migration involves
Functionality Mapping Analysis of critical features of application-------------- where to deploy the application------------ Analysis of features supported by cloud provider
Nature of target cloud platform Evaluation of supported tools and technologies
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Examples – Recap (3)
Medical imaging system
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Reservation system
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Lecture Outline Amazon Web Services
Amazon EC2 Amazon Storage
Amazon Simple Storage System (S3) Amazon Elastic Block Store (EBS) Amazon CloudFront
Amazon Database Amazon SimpleDB Amazon Relational Database Service (RDS)
Amazon Virtual Private Cloud Amazon CloudWatch Amazon Elastic Load Balancing Service Levels for Cloud Applications
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Amazon Web Services
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Amazon Cloud Offerings
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AWS Management Console
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Amazon Elastic Compute Cloud(EC2) EC2 is a virtual server platform that allows users to
create (launch) and run virtual machines on Amazon’s server farm. Run server instances on Xen virtualization hypervisor
based on Amazon Machine Images (AMIs) running different OSs and performance profiles
Provides support for multiple flavors of Linux and Windows. Preconfigured template images
Complete control of instances and customization support. Resizable computing facility in the cloud. (elasticity) Cluster, replicate load balance and locate your servers in different
data centers to provide fault torelance Support for start, terminate and monitor as many instances as
needed
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Components that support EC2
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System images and software
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Red Hat Enterprise/ OpenSuse/ Ubuntu… Linux.
OpenSolaris, Fedora, Debian. Windows Server 2003/2008 32-bit and 64-
bit.
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Amazon EC2 Pricing
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Amazon EC2
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EC2 Commands
Build your own image
Launch a virtual server instance based on your machine image
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EC2 Commands (2)
Allocate new elastic IP address
Assign it to your EC2 instance
List all your allocated addresses
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Amazon Storage Amazon Simple Storage System (S3)
Online backup and storage system. Storage containers are referred to as buckets. Low bandwidth access but guarantee.
Amazon Elastic Block Store (EBS) Crete virtual disks (volume). Performance and reliable than S3.
Amazon CloudFront Content-delivery system (edge computing) that
caches data in different physical locations.
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EC2 Storage Type Properties
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Amazon Simple Storage Service (S3)
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S3 Commands Create a bucket
Put something inside a bucket
Get the object out of the cloud
Others – list (ls) and delete (del) a bucket or an object
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EBS Commands
Create EBS volume
Attach it into the instance in the same availability zone
You can mount or format at any time
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Amazon CloudFront
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Amazon Database
Amazon SimpleDB Simple indexing and data queries, -> non-
relational and joins are not supported. Not a full database implementation.
Amazon Relational Database Service (RDS) Allow users to create instance of commercial
database such as MySQL. Support portability features. Automated software patching, database
backups, and automated database scaling.
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Amazon SimpleDB
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Amazon VPC
Provides a virtual isolated section on Amazon Web Services cloud.
Provides support for both software and hardware virtual private network.
Provides security features such as groups and network access control lists.
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Amazon CloudWatch
Provides monitors for AWS cloud resources.
Custom metrics support. Alarms to take automated action
when metric crosses specified threshold.
Visual support of metrics in form of graphs and statistical tables.
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Elastic Load Balancing
Automatically distribute incoming application traffic across multiple Amazon EC2 instances.
Can detect health of EC2 instances and route traffic accordingly.
Elastic balancing support for cloud watch metrics.
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Service Levels for Cloud Apps
Service Level Agreement (SLA) identifies key metrics (service levels) that the customer can reasonably expect from the service.
Availability Reliability Performance
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Availability
Describes how often a service can be used over a defined period of time.
For example, if a website is accessible t the general public for 710 hours out of a 720 hours month, we say it has a 98.6% availability rating for that month
High availability for most people can be 99.99% to 99.999% availability
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Availability (2) How to estimate the availability of
your system involves 2 variables The likelihood you will encounter a failure in
the system during the measurement period How much downtime you would expect in
the event the system fails The mathematic formulation of the
availability of a component is:
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Availability (3)
Example Your 486 has 40% chance of failure and
you will down for 24 hours, your 486 uptime is:
(8746 – (40%x24))/8746) = 99.9% Also, if you cable provider generally
experiences 2 outages each year lasting 2 months each:
(8746 – (40%x24) – (200%x2))/8746 = 99.84%
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Availability (4)
two 486 boxes that have 40% chance of failure and they will down for 24 hours each, the uptime is:
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Amazon Web Service SLAs
Amazon S3 Promise 99.5% of the time in each
calendar month to response to service requests
Amazon EC2 Promise 99.95% availability of at least
2 availability zones within a region
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Expected Availability in the Cloud
Key differentiator between downtime in the cloud and downtime in a physical environments is How much easier it is to create an
infrastructure that will recover rapidly when something negative happens
Redundancies that span data centers More quickly recover when a downtime
occurs
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Availability Comparison
Example – one single load balancer. Two application servers and a database engine
Physical environments
Cloud
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From the example
EC2 instances are much less stable than physical servers.
The reliance on multiple availability zones can significantly mitigate the lack of stability in EC2 instances.
The lack of stability of a software load balancer is largely irrelevant thanks to the ability to quickly and automatically replace it.
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Reliability
Refers to how well you can trust a system to protect data integrity and execute its transactions.
System that is frequently not available is clearly not reliable.
A highly available system, however, can still be unreliable if you don’t trust the data it presents.
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Performance
Design your application so logic can be spread across multiple servers.
Leverage threading and/ or process forking capabilities
Depending on the nature of applications – example of transactional applications Clustering your database Segment database access so database
reads can run against slave while writes execute against the master
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EC2 Performance
EC2 System performs well Network speeds are quite
outstanding Storage
S3 is very slow Local storage is entirely unpredictable Block storage has exactly the kind of
performance you would expect for SAN
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Risks of data privacy You never know where your data is
when it’s in the cloud. Your data lies within a Xen virtual machine
guest OS or EBS volume Network traffic exchanging data between
instances is not visible to other virtual hosts S3 storage lies in a public namespace but
accessible in private Amazon zeros out all local storage between
uses Snapshots are probably reasonably secure
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References
Chapter 2-3, Cloud Application Architectures, building applications and infrastructure in the cloud, O’Reilly, Reese, G., 2009
Chapter 9 of Course Book: Cloud Computing Bible, 2011, Wiley Publishing Inc.
http://aws.amazon.com
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