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Database deployment optimization is critical to achieve the best return on investment. Deployment optimization involves fine-tuning existing investments and developing a model for new databases. This can be a complex process that involves several considerations that can influence the final database architecture. This include designing a system that can deliver optimal performance and considering the costs of moving to new servers and storage are a few examples of these critical factors.
The 2022 Quest-OUG Database Priorities Survey by Quest IOUG Database & Technology community found that cost and performance were the leading factors that influenced infrastructure selection for Oracle environments. Cost and performance are interdependent, but that does not necessarily mean a high-performance system will cost more. Database system performance has two parts: the physical components and the application of best practices. When all layers of the database system have been optimized, performance often improves and helps control costs.