Used For

• +**Your team commits to $500K in Reserved Instances then usage shifts and you're stuck paying for ghost servers** → Auto-adjusts commitments daily so you're never locked into waste for years
• +**You're manually reviewing discount utilization for 5 hours every week** → Set rules once, get alerts when something needs attention, reclaim your time
• +**Finance wants to allocate cloud costs but your tagging is a disaster** → Intelligent cost allocation without perfect tags using usage patterns
• +Ladders commitments in real-time - reduces lock-in from 1-3 years down to days when usage patterns change
• +Shuts down idle dev/staging resources automatically - some teams see 70% savings on non-production environments

Best For

• >Your Reserved Instances are underutilized and you're bleeding money on wasted commitments
• >Spending $100K+/month on AWS/Azure/Google and manual optimization is eating your weekend
• >Multi-cloud setup where tracking discounts across three billing systems makes you want to quit

Not For

• -Small teams spending under $50K/month on cloud — the automation overhead isn't worth it at that scale
• -Companies without existing Reserved Instances or Savings Plans — this optimizes commitments you already have, not basic monitoring
• -Teams wanting hands-on control of every discount decision — this is built for people who want to set it and forget it

Pairs With

• *AWS Organizations (where it connects to manage Reserved Instances and Savings Plans across all your accounts)
• *Slack (where your team gets alerts about big savings opportunities and cost anomalies)
• *Kubernetes (to optimize compute commitments for containerized workloads that scale unpredictably)
• *Datadog (for the monitoring data that helps predict usage patterns for better commitment sizing)
• *Snowflake (another service that benefits from Reserved Instance optimization for predictable data warehouse workloads)
• *CloudHealth (replaces their commitment management features with actual automation)

The Catch

• !You pay a percentage of savings generated, which sounds fair until you realize you're paying forever for automated rule execution
• !Only works if you already have a significant commitment portfolio — useless for pay-as-you-go teams
• !Strongest on AWS with expanding Azure/Google support, so multi-cloud optimization might be uneven across platforms

Bottom Line

The autopilot for cloud commitments — pays for itself by fixing the discount mess your team doesn't have time to manage.