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Cloud Optimization

Cloud optimization is the practice of improving the performance, cost-efficiency, and resource utilization of cloud-based infrastructure and services. It involves analyzing and adjusting cloud deployments to ensure they meet business requirements while minimizing waste and maximizing value. This includes strategies for right-sizing resources, implementing auto-scaling, optimizing storage, and managing network traffic.

Also known as: Cloud Cost Optimization, Cloud Performance Optimization, Cloud Resource Optimization, Cloud Efficiency, Cloud FinOps
🧊Why learn Cloud Optimization?

Developers should learn cloud optimization to reduce operational costs and improve application performance in cloud environments, especially as cloud spending grows with scale. It is critical for managing large-scale deployments in platforms like AWS, Azure, or Google Cloud, where inefficient resource usage can lead to significant financial waste. Use cases include optimizing serverless functions, containerized applications, and database queries to achieve better cost-performance ratios.

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