Optimization2025-02-217 min read

Right-Sizing OCI Compute Instances: A Practical Guide to Cutting Waste

Overprovisioned compute is the #1 source of cloud waste. Learn how to identify and right-size OCI instances using flexible shapes and performance data.

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OCIFinOps Team

Industry research consistently shows that 30-40% of cloud compute resources are overprovisioned. On OCI, this waste is particularly addressable thanks to flexible shapes — a feature that lets you independently adjust OCPUs and memory.

Identifying Overprovisioned Instances

The first step is finding which instances are oversized. Look for these signals:

CPU Utilization

If average CPU utilization is consistently below 20%, the instance is likely oversized. Occasional spikes to 80-90% are fine — that's what the headroom is for. But if the 95th percentile is still below 40%, you have room to downsize.

Memory Usage

Similar to CPU: if your application consistently uses less than 50% of allocated memory, you're paying for capacity you don't need.

Network Bandwidth

OCI allocates network bandwidth based on the number of OCPUs. If your workload isn't network-intensive, you might be paying for bandwidth you don't use through oversized shapes.

OCI Flexible Shapes: Your Right-Sizing Superpower

Unlike fixed shapes (where CPU and memory come in predetermined ratios), OCI flexible shapes let you specify exact OCPU and memory values:

VM.Standard.E4.Flex: 1-64 OCPUs, 1-64 GB RAM per OCPU

VM.Standard.A1.Flex: (ARM): 1-80 OCPUs, 1-64 GB RAM per OCPU

VM.Optimized3.Flex: 1-18 OCPUs, optimized for high-frequency workloads

This means you can resize from 8 OCPUs / 128 GB to 4 OCPUs / 32 GB without changing instance families — and cut your compute bill by 75%.

Right-Sizing Process

Step 1: Gather Data

Collect at least 2 weeks of utilization metrics. OCI Monitoring provides CPU, memory, and network data. Look at averages, peaks, and patterns.

Step 2: Identify Candidates

Use OCIFinOps's idle resource finder to surface instances with consistently low utilization. Focus on the most expensive ones first — a 50% reduction on a $500/month instance saves more than a 50% reduction on a $50/month instance.

Step 3: Test the Change

Before resizing production instances, test with a smaller shape in staging. Verify that your application performs acceptably under peak load.

Step 4: Resize

For flexible shapes, you can resize without recreation. Stop the instance, adjust OCPUs and memory, and restart. The whole process takes minutes.

Step 5: Monitor

After resizing, monitor closely for a week. If utilization now regularly exceeds 80%, you may have downsized too aggressively.

Quick Wins

Dev/test environments: These should almost always be smaller than production. Consider 25-50% of production sizing as a starting point.

Off-hours scaling: If your workload is business-hours only, use instance pools with autoscaling to scale down on evenings and weekends.

ARM instances: OCI's A1.Flex instances (ARM-based) are significantly cheaper per OCPU. If your application runs on ARM, the migration can yield 30-50% savings.

Right-sizing is the highest-ROI optimization for most OCI customers. Start with your most expensive instances and work your way down.

Ready to optimize your OCI costs?

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