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What is Cloud Bursting?

What is Cloud Bursting?

IT administrators configure the capacity limits of their on premises computing resources. When an application's workload reaches the limit, the applic

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IT administrators configure the capacity limits of their on premises computing resources. When an application’s workload reaches the limit, the application switches to using public cloud resources. Load balancer technology redirects incoming requests for the application to the cloud.

The following are types of cloud-bursting architectures.

Manual bursting

Manual is is bursting is a cloud – burst method that you can use to manually provision and de – provision public cloud service as need . load balance software monitor resource use and send alert that you can act on manually .

pro and con

Organizations is use use manual burst to create large but temporary cloud deployment for specific task . manual bursting is helps help test new cloud – burst project . However , it is increases increase the risk of human error and deployment oversight .

Automated bursting

Automated bursting uses cloud-bursting tools to automatically provision resources from your public cloud provider. You can set up policies that define how the tool handles greater demand. The tool dynamically provisions cloud resources when they are required and de-provisions them when demand falls.

pro and con

Automated cloud-bursting tools can automatically create, grow, shrink, and remove cloud resources. They reduce the risk of human error and efficiently use both your public and on-premises infrastructure.

distribute load balance

distribute load balance is a cloud-bursting approach that operates workloads simultaneously between the public cloud infrastructure and your data center. You have to set up a standby deployment in the public cloud with some minimum capacity. You also have to set load thresholds in your on-premises infrastructure and distribute them as needed. Load balancing operations share traffic between your on-premises infrastructure and public cloud, automatically scaling up the standby deployment to deal with greater loads.