1- Disaster Recovery in Cloud Computing
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Transcript of 1- Disaster Recovery in Cloud Computing
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Disaster Recovery Disaster recovery is a concept developed in the
mid to late 1970s as computer center managersbegan to recognize the dependence of their
organizations on their computer systems
Disasters can be classified in two broad categories1. Natural Disasters: These are floods,
hurricanes, tornadoes, Tsunami &
Earthquakes.2. Man Made Disasters: These include
hazardous material spills, infrastructure
failure & bio-terrorism. 1
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Defining a disaster recovery plan
involves two key metrics
1. Recovery Point Objective(RPO) identifies
how much data you are willing to lose in the
event of disaster. This value is typically
specified in a number of hours or days of
data
2. Recovery Time Objective(RTO) identifies
how much downtime is acceptable in the
event of a disaster.
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Disasters in the Cloud
Backup and data retention:
Fixed data such as your OS and common utilities
belong in your AMI(American Megatrends India).
Transient data file caches and other data that can
be lost completely without impacting the
integrity of the system.
Runtime configuration data necessary to make
the system operate properly in a specific context.
Persistent data it changes constantly and a
database engine is the best tool for managing it.3
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Database Recovery
The DB could be irreparably corrupted by
whatever caused the instance to crash
The volume could have gone down with the
instance The instances availability zone could be
unavailable
You could find yourself unable to launchnew instance in the volumes availability
zones4
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5Fig: RUBiS Tool Geographic Redundancy
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In fig., RUBiS is configured with 3 web servers and
1 Database at the primary site
This efficiently can be a major challenge:
The primary site may have lost an arbitrary
amount of data due to the disaster so thereplication software must be able to determine
what new and old state must be resynchronized
to the original site
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Organizational Redundancy
The approach is to identify another cloud
provider and establish a backup environmentwith that provider in the event you first provider
fails
Disaster Management Disaster has happened and have the tools and
processes in place to execute your recovery plan
One of the coolest thing is that all of this can beautomated.
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Disaster Management
Monitoring your cloud infrastructure is extremely
important
Monitoring system cannot live in either your primary
or secondary cloud providers infrastructure
There must be independent of your clouds
Load Balancer Recovery is to greatly reduce the
likelihood of load balancer failure
Application Server Recovery if u are operatingmultiple appl. Servers in multiple availability zones
your system as a whole will survive the failure of any
one instance or even entire availability zone8
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Database Recovery
The DB could be irreparably corrupted by
whatever caused the instance to crash
The volume could have gone down with the
instance
The instances availability zone could be
unavailable
You could find yourself unable to launch new
instance in the volumes availability zones
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Geographic Redundancy: Amazon provides built
in geographic redundancy in the form of regions
and availability zones
zone A zone B
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Internet
Load
bala
ncer
Appl.se
rver
My SQL
master
My SQL
slave
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It consists of
1. Spanning availability zones
2. Operating across regions : It consists of
a)DNS Management
b)DB Management
c)Regulatory issues
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Benefits of the Cloud
The clouds pay-as-you go pricing model
significantly lowers costs.
Cloud resources can quickly be added with fine
granularity.
The cloud platform manages and maintains the
DR servers and storage devices.
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VM startup can be easily automated, lowering
recovery times after a disaster.
Virtualization eliminates hardware dependencies,
potentially lowering hardware requirements at
the backup site.
Application agnostic state replication software
can be run outside of the VM, treating it as a
black box.
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Advantages
1) Cost2) Time
3) Scalability
Disadvantages
1) Security
2) Control
3) Options
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