
Compute Service Planning
To minimize compute TCO, workloads with distinct software stacks (and licensing models) actually require unique server refresh strategies by server pool. With virtualization, a one-size-fits-all refresh strategy unwittingly leads to far higher compute TCO.
The optimal time to refresh a pool can now be calculated, varies from 1-5 years, and reduces total compute costs by 30-50%.
No need for educated guesses or old-school TCO models. Only Ravello delivers SaaS-based optimization tools and know-how to guide your team to permanent, ongoing cost reductions in your server farms.
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The Right Information to Take Action
Data visibility is good. Having a first-rate answer at your fingertips is even better.
Ravello accelerates cost savings and efficiency at the time server and software infrastructure decisions are made: when supplier contracts are defined and financial commitments signed:
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When and how should a server pool be refreshed?
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What type of server is optimal for a pool?
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Where should new servers be added and existing servers cost-effectively redeployed?
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How many licenses are needed... and in 2 or 3 years?
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How should an ELA be structured?
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Turn Complexity into Easy
No need for lengthy cost studies or software installs.
Ravello's SaaS-based tools achieve more savings with far less effort.
Easily analyze server pools from different perspectives, share data and models, and coordinate team actions through asset life cycles:
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Strategic capacity planning.
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Consolidation analysis and planning.
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Service design and system architecture.
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Software procurement and license management.
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Server supply-chain management.
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Service cost, price, and risk management.
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