Real-time. Cost-efficient. Flexible.
On-premises, compute-intensive workloads often need extra capacity to handle peaks in demand. Yet, IT cannot justify the purchase of additional hardware just to manage data processing spikes that occur intermittently. At the same time, OpEx rises too fast when running a full technology stack in the cloud 24x7x365.
Cloud bursting is said to provide the perfect balance between storage capacity, data processing and cost by enabling fast spin-up of data processing resources in the cloud, on demand. Yet, despite that advantage, use cases for cloud bursting have proven scarce. That’s because IT teams often must replicate entire datasets in the cloud and struggle to keep those copies synchronized with on-premises datasets. This introduces management burden and latency, defeating the purpose of cloud bursting for real-time operations.