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 Save up to 85% in reduced infrastructure
capital expenditure for servers, storage,
networking, and physical data center costs
 Lower on-going reoccurring expenses such
as co-location charges, power, and
maintenance
 Increased efficiency for recovery time and
recovery point objectives
 Only pay for what you use
 Handling Large Databases
 Network Integration
 Rapid Spin-up of Standby Machine Images
 Set RTO/RPO
 RTO is a measure of the maximum amount of
time within which operations are expected to
be resumed after a disaster
 RPO is a measure, in terms of time, of the
maximum amount of data that can be lost as
a result of a disaster.
 Select an appropriate tool or method to back
up your data into AWS.
 Ensure that you have an appropriate retention
policy for this data.
 Ensure that appropriate security measures are
in place for this date, including encryption
and access policies
 Regularly test the recovery of this data and
restoration of your system
 Set up EC2 instances to replicate or mirror
data.
 Ensure that you have all supporting custom
software packages available in AWS.
 Create and Maintain Amazon Machine Images
(AMI) of servers where fast recovery is
required.
 Regularly run these servers, test them, and
apply any software updates and configuration
changes.
 Start your application EC2 instances from
your custom AMI’s.
 Resize and/or scale any database / data store
instances, where necessary.
 Change DNS to point at the EC2 servers.
 Set up EC2 instances to replicate or mirror
data.
 Create and maintain Amazon Machine Images
(AMIs).
 Run your application using a minimal
footprint of EC2 instances or AWS
infrastructure.
 Patch and update software and configuration
files in line with your live environment.
 Start applications on larger EC2 Instance
types as needed (vertical scaling).
 Increase the size of the EC2 fleets in service
with the Load Balancer (horizontal scaling).
 Change the DNS records so that all traffic is
routed to the AWS environment.
 Consider using Auto scaling to right-size the
fleet or accommodate the increased load.
 Set up your AWS environment to duplicate
your production environment.
 Set up DNS weighting or similar technology to
distribute incoming requests to both sites.
 Change the DNS weighting, so that all
requests are sent to the AWS site.
 Have application logic for failover to use the
local AWS database servers.
 Consider using Auto scaling to automatically
right-size the AWS fleet.
As enterprise needs for disaster recovery
progress toward a need for complete
business continuity, and while IT budgets for
DR remain stagnant, enterprises can no
longer avoid considering cost-effective,
multi-tenant, cloud-based disaster recovery
solutions like AWS.
Aws for disaster recovery - DevOps Union

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Aws for disaster recovery - DevOps Union

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  • 4.  Save up to 85% in reduced infrastructure capital expenditure for servers, storage, networking, and physical data center costs  Lower on-going reoccurring expenses such as co-location charges, power, and maintenance  Increased efficiency for recovery time and recovery point objectives  Only pay for what you use
  • 5.  Handling Large Databases  Network Integration  Rapid Spin-up of Standby Machine Images  Set RTO/RPO
  • 6.  RTO is a measure of the maximum amount of time within which operations are expected to be resumed after a disaster  RPO is a measure, in terms of time, of the maximum amount of data that can be lost as a result of a disaster.
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  • 10.  Select an appropriate tool or method to back up your data into AWS.  Ensure that you have an appropriate retention policy for this data.  Ensure that appropriate security measures are in place for this date, including encryption and access policies  Regularly test the recovery of this data and restoration of your system
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  • 13.  Set up EC2 instances to replicate or mirror data.  Ensure that you have all supporting custom software packages available in AWS.  Create and Maintain Amazon Machine Images (AMI) of servers where fast recovery is required.  Regularly run these servers, test them, and apply any software updates and configuration changes.
  • 14.  Start your application EC2 instances from your custom AMI’s.  Resize and/or scale any database / data store instances, where necessary.  Change DNS to point at the EC2 servers.
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  • 17.  Set up EC2 instances to replicate or mirror data.  Create and maintain Amazon Machine Images (AMIs).  Run your application using a minimal footprint of EC2 instances or AWS infrastructure.  Patch and update software and configuration files in line with your live environment.
  • 18.  Start applications on larger EC2 Instance types as needed (vertical scaling).  Increase the size of the EC2 fleets in service with the Load Balancer (horizontal scaling).  Change the DNS records so that all traffic is routed to the AWS environment.  Consider using Auto scaling to right-size the fleet or accommodate the increased load.
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  • 21.  Set up your AWS environment to duplicate your production environment.  Set up DNS weighting or similar technology to distribute incoming requests to both sites.
  • 22.  Change the DNS weighting, so that all requests are sent to the AWS site.  Have application logic for failover to use the local AWS database servers.  Consider using Auto scaling to automatically right-size the AWS fleet.
  • 23. As enterprise needs for disaster recovery progress toward a need for complete business continuity, and while IT budgets for DR remain stagnant, enterprises can no longer avoid considering cost-effective, multi-tenant, cloud-based disaster recovery solutions like AWS.