Earlier, I wrote an article called "Is Hybrid Cloud Ideal for Big Data?" The hybrid cloud model is taking a shape as the final destination for enterprise IT. Looking at this, I have decided to write different use cases that can help you to decide when you should go for hybrid cloud.
A hybrid cloud allows organizations to control their IT environments while sharing non-mission-critical workloads to the public cloud to avail the benefits of flexibility and scalability. Here, we are sharing use cases of going hybrid.
When developers want a place to test new applications or play with analytics models, they turn to public clouds because of their scalability. They're able to get as much space as they need to run and refine apps that could otherwise slow down the production environment. Then, once the application is ready to use, they can pull it into the enterprise's private cloud to deploy to end users.
During periods of heavy traffic or increased application demand, enterprises are turning to a hybrid cloud model for "cloud bursting," which sends the overflow traffic into the public cloud during spikes. One of the biggest advantages of this use case is that enterprises only pay for the extra resources when they're needed. You can learn more about cloud bursting and handling cloud spikes in a hybrid cloud environment.
Managing Disaster Recovery
One of the newer hybrid cloud deployment use cases is disaster recovery. Many enterprises don't have the resources to build out full disaster recovery on-premise. DR on the cloud allows for flexible storage, virtual machine replication, automated failover testing, planned migrations, and recovery. It's ideal for a hybrid cloud environment because of the deployment's ability to handle variable capacity requirements and common disaster recovery use cases. You may also want to read innovative approach for your disaster recovery strategy.
Going Hybrid for Big Data
There's a lot of talk around Big Data: Everything gathered from social media, clickstream, searches, and more. But analyzing it takes resources that many enterprises don't have at the ready and can't build out in a hurry. That's where a hybrid cloud is useful for enterprises to run an analytics application in the cloud then pull in the results for further analysis in private cloud.
Enterprises generate vast amounts of data, to the point where storing it all on a private cloud isn't viable. Most have already moved their archival data into a hybrid cloud deployment, but active data and Tier 2 applications, where data becomes dormant soon after generation, can also leverage a hybrid cloud model.