Before provisioning computing resources, it is important to ask yourself the following questions:
Due to the complex nature of cloud infrastructure, it can be an arduous process to consider these questions and choose the type of computing resource required for each and every workload. To save time, many businesses skip these steps and provision compute without much thought. This results in waste being built into the process from the outset.
Imagine if there was a cloud solution that could enable you to address the complex issues of workload scheduling and management.
Introducing YellowDog Optima.
To optimise workload execution efficiency, you need a solution that is predictable, proactive and actionable.
By using advanced machine learning, you can understand workload runtime predictability and avoid common “bin packing” issues, such as under- and over-provisioning, long workload queue times and the inefficient use of resources.
With intelligent alerting you can be proactive when certain workloads take longer than anticipated to complete.
With continuous machine learning training, you can benefit from a solution that adapts to more complex workloads, avoiding less optimal scheduling and delays.
The foresight you gain from our prediction technology allows you to do a lot more with the same infrastructure.
YellowDog Optima enables you to understand the predictability of your workloads and adapt to any complex variations that may occur from time to time. This enables you to schedule workloads with greater insight, avoiding potential conflicts and ensuring SLAs are met and exceeded.
Learn MoreTo book a demo of YellowDog Optima, or to ask our team for further information, you're just a click away!
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