arquitecto-computo-azure

To determine the optimal Azure VM size, describe your workload's CPU, RAM, and IOPS requirements. The system compares VM families like D-Series, F-Series, and E/M-Series to balance cost and performance for web apps, databases, ML, or batch processing.

Choose Azure VMSS instead of a single VM when your application requires auto-scaling and high availability. VMSS allows you to scale instances dynamically based on demand, whereas a single VM is typically used for fixed-capacity workloads.

Yes, you can estimate Azure compute costs without active credentials. By analyzing the workload requirements and selecting recommended VM or VMSS sizes, the system calculates budget projections using current Azure pricing data.

Azure D-Series offers balanced CPU-to-memory ratios for general computing, F-Series is optimized for compute-intensive workloads, and E/M-Series provides high memory-to-core ratios for memory-intensive databases and data analytics.

Yes, accessing current Azure VM families and pricing data is required to generate accurate capacity planning recommendations. Accurate data ensures the selected VM or VMSS sizes reflect true cost-performance trade-offs for your specific workload.