As 2025 comes to a close, ProsperOps continues to lead the way in automated cloud cost optimization across AWS, Azure, and Google Cloud. At the core of our offerings is Autonomous Discount Management (ADM), which delivers a unified rate optimization experience by continuously optimizing multi-cloud commitments through a single, automated platform. This year, we took a major step forward by expanding into cloud workload optimization with the launch of ProsperOps Scheduler, the industry’s first cloud resource scheduler integrated with rate optimization automation.
Today, ProsperOps manages over $5 billion in cloud spend across all three major cloud providers—delivering over $3 billion in savings to our customers. We’re grateful to our customers and partners for their continued trust and collaboration.
Here’s a look at the most impactful product updates from 2025.
Workload Optimization with Autonomous Resource Management
ProsperOps Scheduler: The only cloud resource scheduler to integrate with rate optimization automation
ProsperOps Scheduler enables teams to minimize cloud waste by automating resource state changes while integrating seamlessly with our rate optimization product, Autonomous Discount Management (ADM). Synchronization between workload schedules and ADM instantly reallocates commitments to minimize unutilized commitments and on-demand costs. ProsperOps Scheduler keeps the control of workload schedules while providing FinOps practitioners centralized visibility into resource hours and costs avoided.
ProsperOps Scheduler is the first product in our cloud workload optimization suite, Autonomous Resource Management, and is now available in early access to our customers for multiple AWS services.
Rate Optimization with Autonomous Discount Management
Microsoft Azure
This year, we made ADM for Azure generally available, expanded support to Azure database services, and streamlined procurement with Azure Marketplace integration.
ADM for Microsoft Azure is Generally Available
With its general availability, Autonomous Discount Management (ADM) for Microsoft Azure brings fully automated rate optimization to Azure customers. ADM dynamically adjusts Reservations and Savings Plans for Compute to maximize Effective Savings Rate (ESR), while minimizing Commitment Lock-In Risk (CLR). ProsperOps algorithms execute on key rate optimization strategies, such as Adaptive Laddering, to achieve world-class ESRs. The release includes a purpose-built Commitments Dashboard, Intelligent Showback, and support for multi-currency billing, making it easy for global teams to deploy, manage, and scale cost optimization across their Azure environments.
ADM for Azure Extends Support for Databases
We expanded ADM to Azure SQL, Azure Database for PostgreSQL, and Azure Database for MySQL in Early Access, enabling customers to automatically optimize costs across their relational database workloads. Our proven automation now maximizes Effective Savings Rate (ESR) for some of Azure’s most widely used and cost-intensive services. With no manual effort required, customers can now reduce Commitment Lock-In Risk (CLR) and ensure their database spend is continuously optimized.
IP Co-sell Status and MACC Burndown via Azure Marketplace
Procuring ProsperOps through the Azure Marketplace streamlines deployment, simplifies expense management, and accelerates time to savings—eliminating delays from lengthy procurement processes. With IP Co-sell status, ProsperOps charges also count toward your Microsoft Azure Consumption Commitments (MACCs), maximizing financial efficiency.
Google Cloud
We expanded Google Cloud capabilities with spend-based committed-use discounts (CUD) Adaptive Laddering, support for Cloud SQL rate optimization, and Marketplace availability—driving greater savings and flexibility.
Adaptive Laddering for Spend-Based CUDs
Earlier in the year, Google Cloud began transitioning to a new spend-based CUD billing model, phasing out the use of credits to reflect spend-based CUD savings in favor of discounted prices being shown directly on the customer’s bill.
To support the new billing model, we introduced Adaptive Laddering for spend-based CUDs to optimize for higher savings and reduced risk. The expansion of our Adaptive Laddering capability to support spend-based CUDs enables Google Cloud customers to save on more resource types and services, including 18 machine series and expanded coverage of Local-SSD storage, GKE Autopilot, and Cloud Run. It will also help customers with private pricing agreements maximize their negotiated rate savings.
Autonomous Discount Management for Cloud SQL
Google Cloud SQL, a major cost driver, is now supported by ADM in Early Access. ProsperOps automatically manages spend-based CUDs on Google Cloud using Adaptive Laddering, dynamically adjusting commitments based on usage changes or even regional migrations. This approach minimizes risk and maximizes overall CUD efficiency—ensuring customers stay optimized without manual intervention.
Available via Google Cloud Marketplace
Autonomous Discount Management is available on the Google Cloud Marketplace, streamlining procurement and billing while allowing charges to count toward Google Cloud consumption commitment for maximum investment value.
AWS
We enhanced AWS savings visibility with Savings Scopes and ESR Benchmarking, giving customers deeper insights into their rate optimization ROI.
Savings Scopes: Get granular on AWS compute and non-compute savings outcome
In 2025, we expanded the scope of Effective Savings Rate (ESR) to reflect results from all rate optimization tactics, including use of Spot instances and Enterprise Discount Program (EDP) or Private Pricing Agreement (PPA) discounts. Savings Scopes enable customers to access and visualize AWS savings data specifically related to commitment-based discounts through the “RI/SP Only” view, and a new comprehensive ESR scope that includes all rate optimization savings, called the “All Discounts” view. Customers can toggle between the two scopes to quantify the impact of their overall rate optimization strategy for multiple AWS compute and non-compute services.
Benchmark Cloud Savings Performance with ESR in the ProsperOps Console
We have integrated Effective Savings Rate (ESR) benchmarking data from our 2025 AWS Compute ESR Benchmark Report directly into the ProsperOps console. This provides customers context on how their savings stack up relative to industry peers and where additional opportunities may exist. This benchmarking tool empowers teams to track progress and validate their savings strategy from the ProsperOps console.
Reporting Capabilities
ProsperOps expanded Intelligent Showback to Azure and AWS non-compute services and enhanced Data Export, giving teams accurate, granular cost allocation and seamless integration of savings data into existing workflows.
Intelligent Showback Expands to AWS non-compute services and Azure
Equitable cost and savings allocation is now possible for AWS and Azure with the expansion of Intelligent Showback. Intelligent Showback allocates cloud commitment costs and savings based on a shared benefit model, enabling more accurate and equitable distribution. It provides granular visibility across regions and resource types, helping FinOps and accounting teams close the books faster and with greater accuracy.
Enhanced Data Export for Easy Integration with ProsperOps data
We launched Data Export to enable customers to programmatically integrate ProsperOps data into existing workflows and third-party tools. Data Export supports:
- Savings dashboard data for AWS Compute, RDS, ElastiCache, OpenSearch, Redshift, and MemoryDB
- RI/SP Only and All Discounts Savings Scopes
Looking Ahead to 2026
In 2025, ProsperOps delivered major advancements across all three major cloud providers. We expanded into workload optimization, enhanced our rate optimization automation, and made it easier for customers to visualize their cloud savings, showback and integrate data into their workflow.
As we head into 2026, our focus remains unchanged: helping organizations reduce cloud costs, waste, and risk with powerful automation that delivers results at scale, across clouds, and without complexity.
We’re excited for what’s ahead and we can’t wait to help you take cloud optimization even further in 2026.
Prosper On! 🖖
Roshnee Mistry Shah
