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.
Optima enables you to understand workload runtime predictability, benefit from alerts and early warning mechanisms, and gain actionable insight on predictions.
Understanding workload runtime predictability, with advanced machine learning, enables you to avoid common “bin packing” issues, such as under- and over-provisioning, long workload queue times and inefficient use of resources.
With intelligent alerting you can be proactive when certain workloads take longer than anticipated to complete.
By continuous machine learning training, you can benefit from the flexibility of adapting to ever more complex workloads, which may otherwise go unnoticed and result in less optimal scheduling and delays.
The foresight you gain from our optimal 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 more
Book DemoTo book a demo of YellowDog Optima, or to ask our team for further information, you're just a click away!
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