$4B+
Managed cloud spend
$4B+
Managed cloud spend
~30%
Avg. savings
$0
Free to use
3 clouds
AWS, Azure & GCP
~30%
Avg. savings
$0
Free to use
3 clouds
AWS, Azure & GCP

Why we built CUDly

CUDly makes cloud savings easier to capture

Trusted by cloud-first teams scaling on AWS and Azure
Less manual work
Replace console checks and disconnected recommendations with one streamlined workflow.
Safer purchasing
Review recommendations before purchase with dry runs, CSV exports, and duplicate prevention.
More flexibility
Scale with Archera for shorter terms, money-back guarantees, and protection when usage changes.

How CUDly works

Start optimizing commitments in seconds

Install & discover
Install CUDly with Go, then run a dry run across supported services using your standard cloud credentials.
Review before buying
CUDly generates a CSV with service, region, type, term, quantity, and estimated savings. Dry-run is the default, so nothing is purchased yet.
Purchase with confidence
When you’re ready, run with the purchase flag. CUDly handles offering lookups, purchase confirmation, duplicate prevention, and audit logging.

Find your first savings opportunity

Run CUDly for free, review your recommendations, and see where cloud commitments can reduce spend.

Free and open-source · Dry-run by default · No platform fee

Key features

Safe cloud purchasing, built in

Multi-cloud, one workflow
AWS production-ready, with Azure and GCP in preview through one unified workflow.
Safe by default
Dry runs, CSV review, confirmations, caps, and limits help prevent unintended spend.
Smarter recommendations
Filter by region, type, engine, and account — while skipping cases where fees erase savings.
Duplicate prevention
CUDly tracks recent purchases to prevent double-buying and keeps CSV audit exports.

Supported services

Cloud coverage that fits your stack

AWS, Production
EC2 Reserved Instances
Databases: RDS, MemoryDB
ElastiCache Reserved Nodes
OpenSearch & Redshift Reserved Instances
Savings Plans
Azure, Preview
Virtual Machines
Azure SQL Database
Cache for Redis
Cosmos DB
Cognitive Search
GCP, Preview
Compute Engine CUDs
Cloud SQL CUDs
Memorystore CUDs
Cloud Storage CUDs

Trusted by cloud teams

Why teams scale savings with Archera

I think Reserved Instances or general bulk discounts on Amazon are fairly challenging … our volumes and our loads change fairly significantly … for us to go out and buy a one-year subscription for a Reserved Instance is something thatwe had never really considered because, what we thought was overloaded six months ago is now extremely underutilized today, and we would have just been stuck with that commitment for a year.

Scott Tsuchiyama

Director of Engineering, Spec

Full transparency: there have been other vendors that have reached out to me before … I never moved off of Archera because I think there are a lot of things about Archera that gives us the wins that we need and the savings that we are looking for with very little effort on our part. We implement Archera and then, from there, Archera is running in the background in order to get us those savings — those things are very, very valuable.

Kim Leung

Engineering Lead, Infrastructure, Hex

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Independently verified.

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Frequently Asked Questions

What teams ask before getting started

Is CUDly free?

Yes. CUDly is free and open-source under OSL-3.0. Teams can use it whether or not they work with Archera.

Do I need Archera to use CUDly?

No. CUDly works as a standalone open-source tool. Archera is the upgrade path for teams that want more flexibility, guarantees, and protection from usage changes.

Can CUDly make purchases automatically?

No. Dry-run is the default, so CUDly surfaces recommendations and generates CSV exports first. Purchases only happen when you explicitly run with the purchase flag.

Which clouds does CUDly support?

CUDly is production-ready for AWS. Azure and GCP support are currently in preview, with coverage expanding across major commitment types.

What does Archera add?

Archera adds shorter terms, money-back guarantees, and protection when usage changes. It helps teams scale cloud savings with less financial risk than native long-term commitments.