Estimate the ideal vCPUs, memory, and storage for virtual machines based on workload type, expected users, and cloud provider. Get instance recommendations for AWS, Azure, and GCP.
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Our VM Sizing Calculator helps DevOps engineers and cloud architects determine optimal virtual machine specifications. Input your workload type and expected users to get tailored recommendations for AWS, Azure, or Google Cloud Platform instances.
VM sizing involves calculating the compute resources (vCPUs, RAM, storage) needed to run your applications efficiently. Proper sizing prevents over-provisioning (wasting money) and under-provisioning (poor performance). The calculator considers workload characteristics, concurrent users, and peak traffic patterns.
Sizing Formula
vCPUs = β(Base + Users Γ CPU/User) / Utilization TargetβAvoid paying for resources you don't need by right-sizing from the start.
Guarantee smooth operation during peak traffic with proper resource allocation.
Account for traffic spikes and future scaling needs.
Get instance recommendations across AWS, Azure, and GCP.
The peak multiplier accounts for traffic spikes above normal usage. A value of 2x means you're sizing for double the average concurrent users. Typical values range from 1.5x (predictable traffic) to 5x (viral potential or seasonal spikes).
We recommend sizing for 70% CPU and 80% memory utilization under peak load. This leaves headroom for unexpected spikes and prevents performance degradation. Running at 100% utilization leads to queuing and poor response times.
Enable HA for production workloads requiring uptime guarantees. HA deploys multiple instances across availability zones, so if one fails, others handle traffic. This typically requires 2-3 instances minimum.
Monthly estimates are approximate and based on on-demand pricing. Actual costs vary by region, reserved instance discounts (up to 72% savings), spot instances, and data transfer. Use provider pricing calculators for precise quotes.
Start with vertical scaling (larger instance) for simplicity. Switch to horizontal scaling (multiple smaller instances) when you need HA, exceed single-instance limits, or want to optimize costs with auto-scaling.