Cloud Cost Savings
Capture the Cloud Savings You Already Found
Your FinOps team has found workloads that would cost less on another cloud, or that would use a commitment you’re on track to miss. Capturing that saving meant a rewrite that cost more than the move would save. Tensor9 Cloud Adapter runs the workload on the other cloud without changing its code, so you get the saving while it still counts.
Savings You Can Find but Can’t Capture
Cost tools are good at finding savings inside the cloud you already use. Flexera’s 2026 State of the Cloud report puts wasted cloud spend at 29 percent. The savings on another cloud stay in the spreadsheet, because capturing them has meant rewriting the workload.
Unused Commitments
Companies commit to spend with a cloud in exchange for a discount, then owe the difference when usage falls short. Redress Compliance, which reviews these contracts, found that shortfall typically runs 10 to 20 percent of the commitment.
A Lower Price Elsewhere
Compute, managed databases, and data transfer are priced differently on each cloud, and so are the discounts you’ve negotiated. The gap is often widest for compute-heavy work such as running AI models.
A Rewrite to Get There
Kubernetes makes compute portable, but the storage, queues, databases, and AI services your code calls still belong to one cloud. Moving the workload has meant rewriting every one of those calls.
Payback Too Slow
A year of rewriting and running a second stack costs more than the move saves. By the time it ships, the commitment it was meant to fill has mostly run out.
Run It Where It Costs Less, Without a Rewrite
Cloud Adapter runs in your own account on the target cloud and accepts the calls your code already makes, carrying out each one on that cloud’s native services. Moving a workload works like standing it up in a new region.
No Rewrite
Your code, SDKs, and Terraform keep making the calls they make today. Cloud Adapter carries out each supported call on the target cloud’s own storage, queues, databases, and Kubernetes, and answers in the format your code expects.
Put Committed Spend to Work
Run a workload on the cloud where you’re short of your commitment or holding credits that expire, so that money pays for real work instead of going unused.
Save While It Still Counts
The move is setup, a short period running both versions, and copying existing data. It starts saving while the unused commitment is still there to fill, not after a year of engineering.
A Pilot You Can Roll Back
Run the new version next to the current one on the same inputs, compare the results, and check the saving on both bills before you switch. If something goes wrong later, point traffic back.
See What Every Call Became
Tensor9 Explain logs what Cloud Adapter did with each request, such as the native storage operation behind an upload, so engineers who know the original cloud can follow what runs on the new one.
Move Again at Renewal
The code still makes the same calls, so you can move the workload again when credits run out or a contract comes up. Being able to run on more than one cloud gives you a real choice at every renewal.
How Tensor9 Works
Point, Run Side by Side, Switch
Point your code and Terraform at Cloud Adapter running in your account on the target cloud, then run your usual deployment to create the matching native resources. Access permissions are mapped too, so the new deployment doesn’t depend on the original cloud. Run both versions side by side, copy existing data in, compare, and switch. Everything runs in your accounts, on your bills.
Frequently Asked Questions
Cloud Adapter lets a workload built for one cloud run on another without rewriting its code. It runs in your own account on the target cloud, accepts the calls your code already makes, and carries out each one on that cloud’s native services, such as its storage, queues, and databases. It works whether or not the workload runs on Kubernetes.
Two places. First, money you’ve already committed: if you’re on track to fall short of a commitment, or hold credits that expire, a workload moved onto that cloud uses that money instead of leaving it unspent. This is usually the larger saving, and it lasts until the agreement renews or the credits run out. Second, a lower price: compute, managed databases, and data transfer cost different amounts on each cloud, and that saving lasts as long as the workload runs there.
It can. If your agreement with your current cloud sets a minimum spend, moving a workload off it lowers your spend there, and falling below the minimum means paying the difference. Check how much room you have above it. Reserved capacity and savings plans keep billing until they end, so time the move to their end dates. Data transfer between clouds is billed by the gigabyte, so choose a workload with few connections to services that stay behind.
The one-time cost is setup, a short period paying for both versions while you compare them, and moving the existing data. The ongoing cost is the Cloud Adapter subscription plus running the workload on the target cloud, which you’d pay after any move.
Cloud Adapter stands up the workload on the target cloud, and the new version starts empty. Data already in your databases and files already in storage need their own move, by dump and restore, replication, or a bulk copy, and your team plans that step.
Support is specific to each service, operation, and target cloud. The service catalog lists what’s covered today, including the origin and target clouds, so check it for each service your workload uses before you plan the move.
Workloads that exchange large amounts of data with systems that stay behind, paths where every millisecond of latency counts, and workloads built on services the catalog doesn’t cover yet are better left where they are for now.
The resources and data are native to the target cloud, in your own account. Your code still makes the calls it was written for, so you can point the workload back at the original cloud, or rewrite it then, on your own schedule.