On integrating DataHub, the DoiT team was very hands-on to the point where DoiT support put together the first ingestion script and pipeline to unlock us.
Kyle Espinola, Head of Platform Engineering
AWS commitment optimization
AWS Savings Plans. Without the big bet.
AWS Compute Savings Plans across EC2, Fargate and Lambda, plus Database Savings Plans across Aurora, RDS, DynamoDB and more, are automatically provisioned in small steps, each checked against hourly usage.
Compute Savings Plans · Database Savings Plans · Autonomous or approval-based
AWS · Savings Plans · last 90 days
Effective Savings Rate
32.8%
▲ 6 pts this quarter
Coverage
84%
Utilization
99.3%
CommittedHourly usage
Purchase schedule · laddered
Compute Savings Plan · EC2, FargateOct 1 · $18/hr · 1 yrExecuted
Compute Savings Plan · LambdaOct 15 · $3/hr · 1 yrApproved
Database Savings Plan · Aurora, RDSNov 1 · $6/hr · 1 yrAwaiting approval
Next step, if usage holdsNov 15 · sized at the timePlanned
Each step is checked against fresh hourly usage before it executes.
how laddering works
Small steps. No big bets.
Instead of concentrating coverage in one forecast and one expiration date, we ladder Savings Plan purchases and check each step against fresh AWS usage before the next one advances.
Get a free savings analysisEffective Savings Rate · last 6 months
31.4%, and climbing
18.2%
21.5%
24.9%
27.3%
29.8%
31.4%
Coverage
82%
Utilization
99.1%
Saved this quarter
$412K
One view of ESR, coverage and utilization across clouds.
aws services covered
Compute and Database Savings Plans, in one workflow.
Five compute services and twelve database, caching, search and migration services, all optimized from the same laddered plan. Coverage follows AWS eligibility rules for supported generations, engines, deployment types and regions.
Compute Savings Plans5 services
Amazon EC2
AWS Fargate
Amazon ECS
Amazon EKS
AWS LambdaDatabase Savings Plans12 services
Amazon Aurora
Amazon RDSAurora Serverless v2Aurora DSQL
DynamoDB
DocumentDB
Neptune
Keyspaces
Timestream
ElastiCache for Valkey
OpenSearch Service
AWS DMSother tools push you to buy upfront
We ladder instead.
A three-year Savings Plan bought on day one assumes your EC2, Fargate and Lambda usage never shrinks. Laddering keeps every step small and recent, so coverage follows your workloads.
The big bet
“Buy three years of coverage today.”
Based onOne forecast
If usage dropsYou pay anyway
Utilization74% by month 9
PerfectScale for Commitments
“Buy what holds, then buy again.”
Based onHourly usage, every hour
If usage dropsThe next step shrinks
Utilization99.1%
Finance
Approve before money moves.
FinOps
ESR you can report.
Engineering
Scale down without penalty.
Leadership
Savings without lock-in.
the full commitment cycle
The full AWS commitment cycle, in one place
Compute Savings Plans
EC2, Fargate and Lambda, re-evaluated every hour.
Database Savings Plans
Aurora, RDS, DynamoDB, Valkey, DocumentDB, Neptune and more.
Purchase impact review
Projected coverage and history before you commit.
Autonomous or approval-based
Choose how purchases execute, with thresholds and limits.
Risk-aware pacing
Control how fast AWS commitment coverage grows.
Effective Savings Rate
The discount you actually achieve, after utilization and waste.
recommendations within hours
How AWS commitment optimization works
1
Connect your billing.
Link your cloud billing accounts. Usage analysis starts right away.
2
Set your guardrails.
Spend limits, pacing, coverage targets and approval rules.
3
Ladder in.
Purchases execute in small steps, each checked against fresh usage.
SOC 2 Type 2, ISO 27001, FinOps Certified Platform.
Free savings analysisPublic 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
Frequently asked
questions
Which AWS commitments does PerfectScale manage?
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.
AWS savings. Without the upfront bet.
See what staged, usage-aligned coverage could save.