# Azure commitment optimization

## Azure commitment coverage

that scales **with your usage**

Stop over-committing or under-covering with a dynamic portfolio of Azure micro Savings Plans, automatically purchased and expired daily, so coverage tracks actual usage.

No spreadsheets, no manual reviews. More savings with less risk.

## Capabilities

Maximize Azure Savings Plans coverage,

**minimize lock-in risk.**

### Dynamic Savings Plans coverage

Small Savings Plans with staggered expiration dates. When usage drops, plans expire without renewal. When usage grows, new plans are purchased.

### Tailored commitment strategy

Set your expected usage growth, target coverage, and 1Y/3Y risk tolerance, and let the system automatically adjust your portfolio adjust automatically.

### Precise forecasting, based on your cost and usage data

Coverage gaps are forecast using your Azure Cost Management Exports, so purchase or expiration decisions are being made proactively, not reactively.

### Aligned with rightsizing and scaling

Coverage adjusts automatically when resources are rightsized or scaling events change your baseline, so commitments don’t outrun actual usage.

## Customer Story

### **Our customers** say it best

“Savings Plans adjust as you grow, and you can stay at a high percentage of coverage.”  
Sergey Merkelov  
Infra R&D Director at Priority Software

[Read Priority's Case Study](/content/case-study/how-priority-achieved-a-steady-99-savings-plans-coverage-with-automation/index.html)

Coverage

30%

[Read the case study](/content/case-study/how-priority-achieved-a-steady-99-savings-plans-coverage-with-automation/index.html)

“Zesty’s Commitment Manager keeps us flexible. It’s fully automated but doesn’t lock us in.”  
Milan Dasek  
Program Operations Manager at Printify

[Read Printify's Case Study](/content/case-study/how-printify-achieved-40-ec2-savings-with-zesty/index.html)

Reduction

on EC2 costs

10%

[Read the case study](/content/case-study/how-printify-achieved-40-ec2-savings-with-zesty/index.html)

### Benefits

## Higher savings. More flexibility. **Less risk.**

### Cut Azure VM costs

Higher Savings Plans coverage, lower spend without committing to capacity that may never run.

### Reduce commitment lock-in risk

Smaller Savings Plans and staggered expirations mean exposure adjusts daily with your usage, not 12 months later.

### Free your team from commitment management

Coverage decisions run automatically in the background based on cost and usage history and real-time signals, so your team stays focused on real work.

## Comparison

### Frequently Asked Questions

## If you’ve made it this far, these **questions** are for you

**How does the pricing model work?**

Commitment manager’s pricing model is purely success-based, so if Zesty doesn’t save you anything, we don’t get paid either. Our bill is based on a percentage of what we have saved for our customers, with lower percentages available if you would like to sign a longer contract with us.

**Is the platform secure?**

Yes, security is a priority. Commitment Manager complies with industry standards, encrypts all data, and offers role-based access controls, ensuring only authorized users can access your cost data and settings. Only metadata and usage metrics are collected; Zesty doesn’t have access to any data on the Virtual Machine.

**Does it require an agent in order to work?**

Commitment Manager does not require an agent, nor does it access your instances. Zesty requires your Azure cloud account to be linked to the Zesty dashboard. With limited permissions, our AI algorithms can analyze usage data and send commands for buying Savings Plans.

**Is there a complex setup or onboarding process?**

No, our platform is designed for a quick and simple onboarding process. Connecting your Azure cloud account to the Zesty dashboard takes just a few minutes. Our customers are up and running in no time, with full support to ensure a smooth start on our platform.

**How long does it take to see savings after implementation?**

Savings are visible from day one. The time to achieve maximum coverage can vary by a few weeks, depending on the current level of coverage and the existing commitment portfolio.

### More Capabilities

## **Optimize** at every layer

#### Compute cost visibility

> Analyze workload costs, identify waste, and automate with clear data-driven insights.

[Learn More](/content/platform/compute-cost-visibility/index.html)

#### PV autoscaling

> Automatically rightsize persistent volumes based on usage to reduce costs and maintain availability.

[Learn More](/content/platform/pv-autoscaling/index.html)

#### Multi-dimensional Autoscaling

> Optimize pod resources and replica counts to maximize performance and cost efficiency.

[Learn More](/content/platform/multi-dimensional-autoscaling/index.html)

#### Adaptive pod placement

> Reposition unevictable pods to reduce fragmentation and enable node consolidation.

[Learn More](/content/platform/adaptive-pod-placement/index.html)

#### FastScaler

> Reduce app startup time by up to X5 to absorb spikes without throttling or OOMs.

[Learn More](/content/platform/fastscaler/index.html)

#### AWS Commitment Optimization

> Continuously align commitments with usage to maximize coverage and minimize lock-in risk.

[Learn More](/content/platform/aws-commitment-optimization/index.html)