Continuously optimize AWS Compute Savings Plans across EC2, Fargate, and Lambda, plus Database Savings Plans across eligible provisioned and serverless services.
AWS commitment optimization
More AWS coverage. Less lock-in risk.
PerfectScale turns changing AWS usage into a commitment plan your FinOps and finance teams can inspect, control, and measure.
Keep Savings Plans aligned
Re-evaluate EC2, Fargate, and Lambda usage hourly and adjust the next Compute Savings Plan purchase as workloads scale, migrate, or shut down.
Cover database spend
Manage Database Savings Plans across eligible Aurora, RDS, DynamoDB, Valkey, DocumentDB, Neptune, Keyspaces, Timestream, DMS, and OpenSearch usage.
Choose how purchases execute
Run autonomously or require approval before a purchase, with thresholds and spend limits matched to your risk policy.
Measure the result
Track Effective Savings Rate, utilization, and coverage without assembling reports from multiple AWS consoles.
2
AWS commitment types managed together
1hr
Usage re-evaluation cadence
2
Automation modes: autonomous or approval-based
AWS services covered
PerfectScale for Commitments manages both AWS Compute Savings Plans and AWS Database Savings Plans in one workflow.
Compute Savings Plans
Amazon EC2
AWS Fargate (Amazon ECS and Amazon EKS)
AWS Lambda
Database Savings Plans
Amazon Aurora and Amazon RDS instances
Amazon Aurora Serverless v2
Amazon Aurora DSQL
Amazon DynamoDB
Amazon ElastiCache for Valkey (instances and serverless)
Amazon DocumentDB (instances and serverless)
Amazon Neptune (instances, serverless, and Analytics)
Amazon Keyspaces
Amazon Timestream
AWS Database Migration Service (DMS), instances and serverless
Amazon OpenSearch Service
Coverage follows AWS eligibility rules for supported generations, engines, deployment types, and regions.
staged AWS purchases
Build Savings Plan coverage in measured steps
PerfectScale ladders purchases instead of concentrating commitment into one forecast and one expiration date. Each step is checked against fresh AWS usage before the next purchase advances.
Start with review-before-purchase controls, then move to autonomous execution when your team is ready. The recommendation logic and projected impact stay visible in either mode.
AWS guardrails
Set the boundaries before automation acts
Approval thresholds, spend limits, and pacing controls define how quickly AWS coverage can increase. Your policy becomes part of the purchase plan, not a spreadsheet checked after the fact.
AWS commitment capabilities
Run the full AWS commitment cycle in one place
Move from hourly usage analysis to purchase execution and outcome reporting without stitching together separate tools.
Hourly AWS usage analysis
Review minimum, maximum, and median usage across relevant time periods.
Savings Plan scheduling
Schedule Compute Savings Plans across EC2, Fargate, and Lambda.
Database Savings Plans
Optimize eligible instance, serverless, throughput, and analytics usage across AWS database services.
Purchase impact review
Inspect projected coverage and historical performance before committing.
Effective Savings Rate
Measure the discount actually achieved after utilization and waste.
Risk-aware pacing
Use limits and approval thresholds to control commitment growth.
Public product claims reviewed July 31, 2026. "Not publicly listed" means no vendor support claim was found.
AWS commitment management, side by side
Capability
PerfectScale
ProsperOps
Opsima
nOps
Commitment coverage
Compute Savings Plans
EC2, Fargate, and Lambda
EC2, Fargate, and Lambda
EC2, Fargate, and Lambda
EC2, Fargate, and Lambda
Google Cloud commitments in the same platform
Google Cloud CUDs
Multi-cloud
Not available
Opsima lists Google Cloud support as coming.
Google Cloud CUDs
Database Savings Plans service coverage
Amazon Aurora and Amazon RDS instances
Supported
Early Access
RDS and Aurora listed
Database Savings Plans automation is not explicitly documented.
Supported
Aurora Serverless v2
Supported
Early Access
Aurora listed
Serverless v2 support is not separately claimed.
Supported
Aurora DSQL
Supported
Early Access
Not publicly listed
Supported
DynamoDB
Supported
Early Access
DynamoDB listed
Database Savings Plans automation is not explicitly documented.
Supported
ElastiCache for Valkey (instances and serverless)
Supported
Early Access
ElastiCache listed
Valkey and serverless scope is not separately claimed.
Supported
Amazon DocumentDB (instances and serverless)
Supported
Early Access
Not publicly listed
Supported
Amazon Neptune (instances, serverless, and Analytics)
Supported
Early Access
Not publicly listed
Supported
Amazon Keyspaces
Supported
Early Access
Not publicly listed
Supported
Amazon Timestream
Supported
Early Access
Not publicly listed
Supported
AWS DMS (instances and serverless)
Supported
Early Access
Not publicly listed
Supported
Amazon OpenSearch Service
Supported
Early Access
OpenSearch listed
Database Savings Plans automation is not explicitly documented.
Supported
Automation and governance
Approval before purchase execution
Optional per-purchase approval
Configurable guardrails
Public materials emphasize autonomous execution.
Autonomous managed model
Public materials emphasize hands-off execution.
Autonomous-first
Public materials emphasize full autopilot.
Fully autonomous optimization
Available
Available
Available
Available
Staged commitment purchases
Intelligent laddering
Adaptive Laddering
Dynamic layering
Adaptive layering
Spend and risk guardrails
Limits, thresholds, and pacing
Risk and budget controls
Managed risk policy
Risk-aware automation
Re-evaluation and reporting
Continuous usage re-evaluation
Hourly
Continuous
Continuous
Hourly
Effective Savings Rate reporting
ESR, utilization, and coverage
ESR dashboards
Incremental savings dashboard
ESR and net savings trends
Beyond commitment management
Full FinOps platform
Cloud Intelligence™
Cost visibility, allocation, governance, optimization, and cloud expertise.
FinOps automation platform
Rate optimization, workload integrations, reporting, and showback.
AWS commitment specialist
Public product materials focus on rate optimization.
FinOps platform
Cost management, allocation, commitments, and workload optimization.
Cost attribution without cloud-resource tagging
Attribute™
Maps costs to customers and business dimensions without requiring tag coverage.
Intelligent Showback
Allocates commitment costs and savings by account, resource type, and region.
Native AWS allocation
Public guidance relies on AWS billing dimensions, categories, and tags.
Automated allocation
Allocates untagged and shared costs using billing and workload metadata.
Kubernetes workload optimization
PerfectScale for Kubernetes
Pod rightsizing, bin packing, autoscaling, and continuous optimization.
Via Flexera Ocean
Integrated Kubernetes workload and commitment optimization.
Rate optimization only
Covers EKS compute commitments without changing infrastructure.
EKS optimization
Node, pod, and pricing optimization.
Snowflake workload optimization
PerfectScale for Snowflake
Automated warehouse optimization, workload insights, and cost visibility.
Not listed
Not listed
Cost visibility and allocation
Snowflake cost ingestion is documented; workload automation is not.
Databricks workload optimization
PerfectScale for Databricks
Automated compute savings, workload insights, and DBU visibility.
Not listed
Not listed
Cost visibility and allocation
Databricks cost ingestion is documented; workload automation is not.
BigQuery workload optimization
PerfectScale for BigQuery
Reservation, slot, and query optimization insights with workload visibility.
Via Alvin partnership
Partner-led BigQuery query and reservation optimization.
Not listed
Cost visibility and allocation
Google Cloud cost analysis is documented; workload automation is not.
Native capabilityPartial / preview / via integrationNot available
What they say
Connecting IBM and AWS privately was the piece we needed to get right, and we wanted to move faster on it than we could on our own. DoiT worked through the options with us, found the subnet overlap that was breaking the routing, and made it stable. That unblocked everything else.
DevOps Lead, Software Projects
Attribute™'s platform is truly unique. We now have crystal-clear visibility into our cloud spend at the workload and tenant level, and that insight has already led to actionable savings and powerful insights as we further scale our service.
Paul White, VP of Engineering, Shasta Cloud
We have worked with DoiT for many years, and there has been an increasing number of capabilities and features in DoiT Cloud Intelligence. We've embedded features such as Cloud Analytics and Reports in our own FinOps processes, it's become core to what we do.
Martin Lee, Director of Operations
DoiT gave us the confidence to move from experimentation to production. They helped us understand the right way to build AI for the real world.
Milad Rezazadeh, CTO
Attribute™'s cost grouping technology took our cost visibility and allocation to a whole new level. Now, our teams are fully accountable for their budgets, significantly improving our cloud efficiency and helping us minimize unnecessary costs.
Eli Zilbershtein, Head of DevOps, Hippo
Optimize AWS commitments without the big upfront bet
See what staged, usage-aligned coverage could save.
PerfectScale manages Compute Savings Plans for Amazon EC2, AWS Fargate, and AWS Lambda. It also manages Database Savings Plans for Aurora and RDS instances; Aurora Serverless v2; Aurora DSQL; DynamoDB; ElastiCache for Valkey instances and serverless; DocumentDB instances and serverless; Neptune instances, serverless, and Analytics; Keyspaces; Timestream; DMS instances and serverless; and Amazon OpenSearch Service.
How is PerfectScale different from ProsperOps for AWS?
Both products support Compute Savings Plans and broad Database Savings Plans coverage. ProsperOps announced its Database Savings Plans automation in Early Access in June 2026. PerfectScale is generally available and adds optional per-purchase approval inside Cloud Intelligence™.
How is PerfectScale different from Opsima?
Opsima’s current product page lists EC2, ECS and Fargate, Lambda, RDS, Aurora, ElastiCache, OpenSearch, and DynamoDB. It does not publicly list every Database Savings Plans service or deployment variant. PerfectScale documents the full supported set and adds optional approval-based execution plus AWS and Google Cloud commitment management.
How is PerfectScale different from nOps?
Both products publicly document Compute Savings Plans and broad Database Savings Plans coverage. PerfectScale differs through optional per-purchase approvals and its connection to Cloud Intelligence™ and DoiT cloud expertise.
Do we have to enable autonomous purchasing?
No. You can require approval before each purchase or run autonomously. Approval thresholds, spend limits, and pacing controls apply the operating model your team is comfortable with.
What happens when AWS usage changes?
PerfectScale re-evaluates usage hourly. Staged purchases leave recurring opportunities to increase, reduce, or pause the next step instead of locking the entire plan to one point-in-time forecast.