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Insured Commitments

Learn about Archera’s Guaranteed Commitments that provide short-term insured cloud commitments with maximum flexibility and risk protection

Archera’s Guaranteed Commitments (GRIs & GSPs) offer a revolutionary approach to cloud cost optimization by providing short-term, insured commitments that eliminate the traditional risks associated with cloud reservations.

​What are Guaranteed Commitments?

Guaranteed Commitments are Archera’s solution to the inflexibility of traditional cloud commitments. They provide:

Guaranteed Reserved Instances (GRIs): Short-term reserved instances with insurance protection against underutilization Guaranteed Savings Plans (GSPs): Flexible compute commitments with guaranteed utilization across multiple services

​Key Benefits

Shorter Terms

30-Day Minimum Terms

  • Start with 30-day commitments instead of 1-3 years

  • Maintain infrastructure flexibility

  • Perfect for dynamic workloads

Insurance Protection

Commitment Loss Protection

  • Archera insures against underutilization

  • No risk of paying for unused capacity

  • Guaranteed savings realization

Easy Management

Automated Optimization

  • Set automation policies for continuous optimization

  • Configurable savings thresholds

  • Weekly, monthly, or quarterly cadence

No Hidden Fees

Transparent Pricing

  • What you see is what you get

  • No hidden fees deducted from savings

  • Clear, upfront pricing structure

​How Guaranteed Commitments Work

Traditional Commitment Challenges

Traditional cloud commitments present several challenges:

  • Long-term commitments (1-3 years) reduce infrastructure flexibility

  • Utilization risk - you pay for capacity whether you use it or not

  • Technology changes can make commitments obsolete

  • Business changes may alter infrastructure needs

​Archera’s Solution

​Commitment Types Available

Guaranteed Reserved Instances (GRIs)

Instance-Specific Commitments

  • AWS: Individual EC2 instances, RDS, ElastiCache, DynamoDB

  • Azure: Virtual Machine Reserved Instances, SQL Database, Cosmos DB

  • Google Cloud: Compute Engine instances, Cloud SQL

  • Term Options: 30-day minimum, up to 3 years

  • Coverage: Specific instance types and sizes

  • Best For: Predictable, instance-specific workloads

Guaranteed Savings Plans (GSPs)

Flexible Compute Commitments

  • AWS: Broad compute services (EC2, Lambda, Fargate, ECS/EKS)

  • Azure: Compute services across VM families and App Service plans

  • Google Cloud: Spend-based and resource-based Committed Use Discounts

  • Term Options: 30-day minimum, flexible duration

  • Coverage: Dollar-per-hour commitment across compute services

  • Best For: Dynamic workloads with varying compute needs

​Commitment Comparison Matrix

When evaluating commitment options, use this comparison to understand the trade-offs:

Key Considerations When Choosing:

  1. How much will this commitment save me? (Archera shows net savings with no hidden fees)

  2. What’s the discount rate for this commitment option?

  3. How long until I break even and will my infrastructure be up at least that long?

​Important Metrics

When evaluating commitment performance using both Archera and native cloud tools, focus on these key metrics:

Coverage Amount

Definition: What percentage of your reservable infrastructure has a commitment applied

Target: Generally, higher coverage is better as it maximizes cost savings across your infrastructure

Measurement: (Reserved Capacity / Total Reservable Capacity) × 100

Native Tool Tracking:

  • AWS: Cost Explorer and Cost and Usage Reports

  • Azure: Cost Management

  • GCP: Billing reports

Net Savings Rate

Definition: The aggregate impact of all your commitments relative to the on-demand rate

Target: Higher savings rates indicate more effective commitment strategies

Measurement: Total discount percentage achieved across all commitments

Native Tool Tracking:

  • AWS: Cost Explorer and Cost and Usage Reports

  • Azure: Cost Management

  • GCP: Billing reports

Utilization

Definition: How much of your purchased commitments you’re actually using

Target: As close to 100% as possible for maximum ROI

Measurement: (Used Commitment Hours / Purchased Commitment Hours) × 100

Native Tool Tracking:

  • AWS: Cost Explorer and Cost and Usage Reports

  • Azure: Cost Management

  • GCP: Billing reports

​Commitment Planning Options

Archera provides three default commitment strategies:

High Savings Plan - Maximum Discount

Focus: Maximum discount through longer terms

Features: Includes 3-year commitments and upfront payments

Consideration: Higher savings but reduced flexibility

​Automation Policies

Archera offers fully optional automation policies that:

  • Monitor your infrastructure continuously

  • Apply new commitments when savings thresholds are met

  • Operate on your preferred cadence (weekly, monthly, quarterly)

  • Cancel anytime with full control retained

​Policy Configuration

1

Set Savings Threshold

Define minimum savings amount required to trigger automation

2

Choose Cadence

Select how frequently the system should evaluate new opportunities

Weekly cadence works well for dynamic environments

3

Monitor Performance

Track automated savings and adjust thresholds as needed

4

Maintain Control

Cancel or modify policies anytime through the platform

You always retain full control - automation is completely optional

​Getting Started

Ready to implement Guaranteed Commitments? Here’s how to begin:

Risk-Free Optimization: Guaranteed Commitments are completely opt-in and designed to eliminate traditional commitment risks. You maintain full control of your AWS account and infrastructure while benefiting from professional optimization and insurance protection.

​Why Choose Guaranteed Commitments?

​Benefits Summary

Immediate Savings

Start saving immediately with 30-day terms

Zero Risk

Zero utilization risk through insurance protection

Expert Management

Professional management and optimization

Transparent Pricing

Transparent pricing with no hidden fees

Automation

Automated policies for hands-off optimization

Full Control

Full control and cancellation rights

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