Prioritized recommendations for cost optimization
Stable categorizes fixes into Easy, Medium and Hard, along with the cold hard numbers of the dollars you can save.
Crush your AWS cost creep
Discover Stable, your go-to solution for AWS cloud savings. Stable slashes runaway spend and resource sprawl across every layer of your AWS ecosystems—delivering the kind of FinOps-level savings straight to your bottom line.
Stable goes deeper
Where most cost-cutting platforms stop at Reserved Instances and the usual EC2/S3 buckets/RDS tune-ups, Stable drills into the layers nobody touches. Think: a wide range of AWS services and each individual AWS resource.
Serverless services and resources are just some of the costs we reel in.
For example, Stable profiles every Lambda invocation to right-size memory and compute for painless serverless savings. Then, we can squeeze up to 20% out of your ElastiCache clusters by steering workloads toward AWS Valkey instead of pricey Redis builds. And this is just one example.
The result?
We detect, flag and help you eliminate all those AWS spending blind spots.
Features
Impact assessment
Stable will give you the details on the impact of a change you’ll make to reduce a service- or resource-specific cost: the length of downtime, replacement duration, in-place changes, etc.
Cost exploration
Stable breaks spend down to reads, writes, storage, and transfer for each resource. No more guessing which lever to really pull. An added benefit? Say goodbye to the complicated AWS Cost Explorer.
Coming Soon
Real-time, smart alerts
Stable constantly monitors your AWS estate 24/7 and pings you the instant a rogue/botched deployment or usage spike threatens your budget. We eliminate bill shock before it starts.
Savings analyses
Stable calculates the exact dollar impact of each recommended fix, complete with projected payback timelines so that you can prioritize your AWS optimization strategy with hard data.
Get Free Trial
Pricing
1. Connect and manage Stable on your own
Pricing: 1.9% of your annual AWS bill
2. Full access to Stable with proactive support from Unicorne
You get full access, and Unicorne’s FinOps team implements the changes you approve.
Pricing: Free when you are a managed services client and/or leverage Unicorne as your AWS reseller.
Consistently save on your AWS bills
With Stable, it’s not just one-and-done savings.
AWS rolls out new advisories, services, and resources at a breakneck pace, which means cost optimization is an endless work in progress.
But with projects to deliver and timelines to keep in check, who has got your back to keep scanning and saving on what you dish out every month? Stable.
“In less than a month, we saved thousands of dollars (23%) of our total AWS bill.”
“Unicorne and its Stable AWS cost optimization platform have been instrumental in consistently helping us save on our AWS bills. Can't believe we saved 56%!”
“A great non-stop AWS cost-saving solution.”
“Stable really shines through its cost optimization suggestions, but the real killer feature for us is the Resource Explorer: the best way to quickly see which resource—or resources—are driving the highest expenses.”
Clients
No one-click chaos
“Auto-fix” buttons in some cloud spending products appear slick—right up until they cause a ripple effect of bugs or an outright outage, forcing you to carry out even more fixes.
Stable surfaces every savings, shows the blast radius, and lets your team decide what to do. Fix them yourself? Rely on the expertise of Unicorne, Stable’s mother company, with its AWS managed services? You have the flexibility to choose.
Insight first, human sign-off second, broken pipelines never.
How it works
- Start your free trial.
- Connect Stable to your AWS account.*
- Start monitoring and saving!**
*AWS requires a few days to authorize syncing between your account and Stable. Stable will alert you when everything is ready to start scrutinizing your AWS expenses.
Who is Stable for
Trust us, your CFO, your board, and your investors will thank you.
You won’t blow a hole in their budget.
Worried your customer adoption curve isn’t following your expense curve? Fed up with dedicating precious resources to time-consuming cost audits? Let Stable do the hefty lifting.
Stop working on mind-numbing admin tasks and focus on what you’re really good at: innovation and market domination.
Are you tired of unclear cost reporting? Stable pins every AWS penny to its source and shaves the bloat before it hits the ledger.
Worried your customer adoption curve isn’t following your expense curve? Fed up with dedicating precious resources to time-consuming cost audits? Let Stable do the hefty lifting.
Stop working on mind-numbing admin tasks and focus on what you’re really good at: innovation and market domination.
Are you tired of unclear cost reporting? Stable pins every AWS penny to its source and shaves the bloat before it hits the ledger.
About Unicorne
Unicorne is an AWS-certified Advanced Partner headquartered in Canada and razor-focused on Amazon Web Services. Our certified team covers the full cloud journey—architecting and migrating workloads, running 24/7 managed services, and building cloud-native SaaS and data-driven applications. Unicorne delivers end-to-end AWS expertise that enables SMBs to innovate faster, scale sanely, and trim operational drag.
FAQs on optimizing your AWS costs
AWS offers several pricing options that can dramatically cut costs:
- EC2 On-Demand Instances for flexible, short-term workloads
- EC2 Spot Instances for interruption-tolerant jobs (up to 90 % savings)
- Savings Plans with 1- or 3-year commitments and flexible instance families
- EC2 Reserved Instances (Standard or Convertible) with up to 75 % discounts and multiple payment terms (all-upfront, partial-upfront, no-upfront)
Stable analyzes your historical usage, forecasts future demand, and recommends the ideal blend of Reserved Instances and Savings Plans. A centralized console then allocates RIs to the right organizational units for maximum return.
Decide case-by-case between managed services such as Amazon RDS and self-managed EC2 deployments, according to your operational expertise and monthly spend (> USD $1,000). For EC2, fine-tune your choice among Graviton 2/3 (ARM), AMD, or Intel instances to match each workload. Consider specialized instance families—compute-optimized, memory-optimized, storage-optimized—for targeted use cases.
Stable enriches AWS Compute Optimizer data with detailed CloudWatch metrics (CPU, memory, IOPS, network throughput) to recommend better-fitting instance types, complete with precise savings estimates.
Idle assets burn money even when they’re doing nothing. Stable automatically flags:
- ELBs with no registered instances
- Detached Elastic IPs
- Oversized NAT Gateways
- Orphaned EBS volumes
- RDS read replicas with zero traffic
- Dormant Lambda functions
- Redundant EBS/RDS snapshots
Implement a lifecycle-management strategy for your EBS and RDS snapshots. Use granular retention policies (e.g., keep hourly snapshots for 24 h, daily for 7 days, weekly for 1 month, monthly for 1 year). Stable pinpoints redundant, obsolete, or orphaned snapshots and precisely calculates the savings achievable through AWS Data Lifecycle Manager automation. Our solution also detects snapshots eligible for archiving and can orchestrate their transfer to lower-cost tiers.
Detached EBS volumes can account for up to 50 % of your AWS bill. Fine-tune the volume type as well (gp2, gp3, io1, io2, st1, sc1) to match your real IOPS and throughput needs; migrating from gp2 to gp3 alone can trim costs by about 20% at equal performance. Stable analyzes usage metrics for every volume and recommends:
- Deleting orphaned volumes
- Converting to the optimal volume type
- Precisely right-sizing provisioned IOPS
- Tiering cold data to S3 via AWS DataSync
- Enabling automatic backups through AWS Backup
Analyze actual utilization in depth (not just CPU) to uncover right-sizing opportunities. Stable collects fine-grained CloudWatch metrics (including memory utilization via the CloudWatch Agent), studies usage patterns (p95, p99), and produces resize recommendations that respect burst needs. Our platform can also model the financial impact of adopting a multi-AZ or multi-region architecture, factoring in all related data-transfer costs.
AWS data-transfer pricing is complex and can swallow a sizeable chunk of your bill. Optimize it by:
- Strategic use of VPC Endpoints to slash NAT Gateway charges
- Deploying Amazon CloudFront for caching and lower Internet egress
- Choosing regional vs. global S3 endpoints to suit each workload
- Reducing inter-AZ traffic through smarter instance placement
- Leveraging AWS PrivateLink for service-to-service communication
Go beyond simple horizontal scaling and adopt advanced strategies:
- Predictive scaling driven by historical usage patterns
- Mixed-instance strategies that blend On-Demand and Spot capacity
- Scheduled scaling for workloads you can calendar in advance
- Step scaling for applications with complex demand curves
Stable refines your Auto Scaling Groups by mining historical performance metrics and dialling in the optimal settings: Min./Max./Desired capacity, cooldown periods, and scale-in protection.
S3 Intelligent-Tiering automates movement between frequent-access, infrequent-access, and archive tiers. To unlock maximum savings:
- Activate the Archive Access and Deep Archive Access tiers
- Apply filters based on object tags or prefixes
- Combine Intelligent-Tiering with Lifecycle policies for permanent moves
Stable reviews every S3 bucket, maps real-world access patterns, and builds an optimal tiering plan, mixing S3 Standard-IA, S3 One Zone-IA, and Glacier classes to fit each data category.
Configure granular scheduling policies:
- Environment-specific timetables (Dev/Test/QA)
- Hibernate instead of stopping to preserve RAM state
- Tag-based custom time windows
- Exception periods for maintenance or deployments
- Integration with corporate calendars via API
Stable goes further by automatically spotting the best instances for scheduling based on historical usage patterns and can roll out Instance Scheduler configurations tailored to your organization.
For AWS Lambda functions, granular optimizations are within reach:
- Migrate to ARM (Graviton2) runtimes for ~20% savings
- Precisely tune allocated memory based on execution profiling
- Use Provisioned Concurrency for predictable workloads
- Implement connection pooling to shrink cold-start times
- Optimize code placement to reduce initialization latency
- Leverage Lambda SnapStart for Java runtimes
Stable analyzes every function to pinpoint its ideal configuration and recommends lean, event-driven architectures to replace costlier services.
Cost control isn’t a one-off project. Stable provides:
- Full cost disaggregation by environment, team, project, and component
- Machine-learning anomaly detection
- Budget forecasts and scenario modelling
- Precise allocation of shared costs
- Industry benchmark dashboards
- Real-time alerts that plug into CI/CD to block wasteful deployments before they go live
With Stable’s unified FinOps platform, you get customizable dashboards, always-on anomaly alerts, and cost-aware pipelines—so cloud waste never sneaks back onto your AWS invoice.
AWS offers several pricing options that can dramatically cut costs:
- EC2 On-Demand Instances for flexible, short-term workloads
- EC2 Spot Instances for interruption-tolerant jobs (up to 90 % savings)
- Savings Plans with 1- or 3-year commitments and flexible instance families
- EC2 Reserved Instances (Standard or Convertible) with up to 75 % discounts and multiple payment terms (all-upfront, partial-upfront, no-upfront)
Stable analyzes your historical usage, forecasts future demand, and recommends the ideal blend of Reserved Instances and Savings Plans. A centralized console then allocates RIs to the right organizational units for maximum return.
Decide case-by-case between managed services such as Amazon RDS and self-managed EC2 deployments, according to your operational expertise and monthly spend (> USD $1,000). For EC2, fine-tune your choice among Graviton 2/3 (ARM), AMD, or Intel instances to match each workload. Consider specialized instance families—compute-optimized, memory-optimized, storage-optimized—for targeted use cases.
Stable enriches AWS Compute Optimizer data with detailed CloudWatch metrics (CPU, memory, IOPS, network throughput) to recommend better-fitting instance types, complete with precise savings estimates.
Idle assets burn money even when they’re doing nothing. Stable automatically flags:
- ELBs with no registered instances
- Detached Elastic IPs
- Oversized NAT Gateways
- Orphaned EBS volumes
- RDS read replicas with zero traffic
- Dormant Lambda functions
- Redundant EBS/RDS snapshots
Implement a lifecycle-management strategy for your EBS and RDS snapshots. Use granular retention policies (e.g., keep hourly snapshots for 24 h, daily for 7 days, weekly for 1 month, monthly for 1 year). Stable pinpoints redundant, obsolete, or orphaned snapshots and precisely calculates the savings achievable through AWS Data Lifecycle Manager automation. Our solution also detects snapshots eligible for archiving and can orchestrate their transfer to lower-cost tiers.
Detached EBS volumes can account for up to 50 % of your AWS bill. Fine-tune the volume type as well (gp2, gp3, io1, io2, st1, sc1) to match your real IOPS and throughput needs; migrating from gp2 to gp3 alone can trim costs by about 20% at equal performance. Stable analyzes usage metrics for every volume and recommends:
- Deleting orphaned volumes
- Converting to the optimal volume type
- Precisely right-sizing provisioned IOPS
- Tiering cold data to S3 via AWS DataSync
- Enabling automatic backups through AWS Backup
Analyze actual utilization in depth (not just CPU) to uncover right-sizing opportunities. Stable collects fine-grained CloudWatch metrics (including memory utilization via the CloudWatch Agent), studies usage patterns (p95, p99), and produces resize recommendations that respect burst needs. Our platform can also model the financial impact of adopting a multi-AZ or multi-region architecture, factoring in all related data-transfer costs.
AWS data-transfer pricing is complex and can swallow a sizeable chunk of your bill. Optimize it by:
- Strategic use of VPC Endpoints to slash NAT Gateway charges
- Deploying Amazon CloudFront for caching and lower Internet egress
- Choosing regional vs. global S3 endpoints to suit each workload
- Reducing inter-AZ traffic through smarter instance placement
- Leveraging AWS PrivateLink for service-to-service communication
Go beyond simple horizontal scaling and adopt advanced strategies:
- Predictive scaling driven by historical usage patterns
- Mixed-instance strategies that blend On-Demand and Spot capacity
- Scheduled scaling for workloads you can calendar in advance
- Step scaling for applications with complex demand curves
Stable refines your Auto Scaling Groups by mining historical performance metrics and dialling in the optimal settings: Min./Max./Desired capacity, cooldown periods, and scale-in protection.
S3 Intelligent-Tiering automates movement between frequent-access, infrequent-access, and archive tiers. To unlock maximum savings:
- Activate the Archive Access and Deep Archive Access tiers
- Apply filters based on object tags or prefixes
- Combine Intelligent-Tiering with Lifecycle policies for permanent moves
Stable reviews every S3 bucket, maps real-world access patterns, and builds an optimal tiering plan, mixing S3 Standard-IA, S3 One Zone-IA, and Glacier classes to fit each data category.
Configure granular scheduling policies:
- Environment-specific timetables (Dev/Test/QA)
- Hibernate instead of stopping to preserve RAM state
- Tag-based custom time windows
- Exception periods for maintenance or deployments
- Integration with corporate calendars via API
Stable goes further by automatically spotting the best instances for scheduling based on historical usage patterns and can roll out Instance Scheduler configurations tailored to your organization.
For AWS Lambda functions, granular optimizations are within reach:
- Migrate to ARM (Graviton2) runtimes for ~20% savings
- Precisely tune allocated memory based on execution profiling
- Use Provisioned Concurrency for predictable workloads
- Implement connection pooling to shrink cold-start times
- Optimize code placement to reduce initialization latency
- Leverage Lambda SnapStart for Java runtimes
Stable analyzes every function to pinpoint its ideal configuration and recommends lean, event-driven architectures to replace costlier services.
Cost control isn’t a one-off project. Stable provides:
- Full cost disaggregation by environment, team, project, and component
- Machine-learning anomaly detection
- Budget forecasts and scenario modelling
- Precise allocation of shared costs
- Industry benchmark dashboards
- Real-time alerts that plug into CI/CD to block wasteful deployments before they go live
With Stable’s unified FinOps platform, you get customizable dashboards, always-on anomaly alerts, and cost-aware pipelines—so cloud waste never sneaks back onto your AWS invoice.
Got questions?