The main technical obstacle has been the way in which monolithic applications are allocated to servers in 'stove-pipes' or 'silos'. By abstracting the applications from the underlying hardware, Infiniflow allows you to free your applications from the existing stove-pipes and run them across any of your available compute resources, automatically scaling up, scaling down and adjusting them to meet SLA's and respond to changes in the resource landscape.
No longer do servers sit there waiting for their scheduled task, warming the data center for no return. Instead they are automatically and dynamically configured and reconfigured to run different applications throughout the day.
Service availability is traditionally improved by trying to stop things from breaking using duplicated 'hot standby' resources. While this approach has achieved a degree of success, it is inefficient and expensive as ultimately failure can not be avoided.
Managing your data center can become like plate spinning, where the number of plates is ever increasing and the only way to try to keep them spinning is to buy more poles and employ more people. While today individual failures may go unnoticed, or take significant time to resolve, the occurance of multiple, often seemingly unreleated, cascading failures can result in catastrophic failure¹ that cause extended periods of business critical downtime. In contrast, Infiniflow maximizes service availability by adopting a recovery oriented approach. By accepting that failure will always happen and not trying to stop the inevitable, Infiniflow distributes your critical business applications and then minimizes the time it takes to recover from failure.
This achieves a much higher level of service availability and provides cost and resource utilization benefits. You can avoid the expense of complex high availability N+1 architectures, and you need fewer people to keep your applications running.
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