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Designing a node to meet specific use cases can be complex and time consuming, which is why we simplify the process by offering nodes designed for common and varied workload profiles.
Many cloud providers rely solely on public cloud cost analyzers to evaluate workloads and match them with the most suitable virtual machine (VM) sizes. While this approach is convenient and efficient, it may overlook crucial factors, particularly in larger scale environments.
This is why our process measures performance over time to get statistics on IOPS, API calls, reads, writes, puts, gets, and more, to prevent oversizing and reduce TCO. Costs of running the environment such as egress fees from public clouds, power scheduling, and licensing are also fully considered during sizing. Examples of this are:
So, you can rest assured that we account for all parameters when solution sizing your private cloud nodes, giving you a solution with known and predictable cost parameters.
Should cluster capacity ever be required, reserve nodes are available for immediate expansion and without interruption. This is great for burst capacity, short-term project work, or if you forecast and anticipate a cluster expansion.
Whether you need to develop a cloud strategy, migrate workloads to the cloud, increase your security in the cloud, or simply want a partner to help you leverage the benefits of cloud, OneNeck’s experienced team of cloud experts can get you there.
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