- 11.1 Workload Distribution Architecture
- 11.2 Resource Pooling Architecture
- 11.3 Dynamic Scalability Architecture
- 11.4 Elastic Resource Capacity Architecture
- 11.5 Service Load Balancing Architecture
- 11.6 Cloud Bursting Architecture
- 11.7 Elastic Disk Provisioning Architecture
- 11.8 Redundant Storage Architecture
- 11.9 Case Study Example
This chapter is from the book
This chapter is from the book
This chapter is from the book
11.9 Case Study Example
An in-house solution that ATN did not migrate to the cloud is the Remote Upload Module, a program that is used by their clients to upload accounting and legal documents to a central archive on a daily basis. Usage peaks occur without warning, since the quantity of documents received on a day-by-day basis is unpredictable.
The Remote Upload Module currently rejects upload attempts when it is operating at capacity, which is problematic for users that need to archive certain documents before the end of a business day or prior to a deadline.
ATN decides to take advantage of its cloud-based environment by creating a cloud-bursting architecture around the on-premise Remote Upload Module service implementation. This enables it to burst out into the cloud whenever on-premise processing thresholds are exceeded (Figures 11.19 and 11.20).
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Figure 11.19 A cloud-based version of the on-premise Remote Upload Module service is deployed on ATN’s leased ready-made environment (1). The automated scaling listener monitors service consumer requests (2).
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Figure 11.20 The automated scaling listener detects that service consumer usage has exceeded the local Remote Upload Module service’s usage threshold, and begins diverting excess requests to the cloud-based Remote Upload Module implementation (3). The cloud provider’s pay-per-use monitor tracks the requests received from the on-premise automated scaling listener to collect billing data, and Remote Upload Module cloud service instances are created on-demand via resource replication (4).
A “burst in” system is invoked after the service usage has decreased enough so that service consumer requests can be processed by the on-premise Remote Upload Module implementation again. Instances of the cloud services are released, and no additional cloud-related usage fees are incurred.