Cloud Portability
Run Natively on
Without a Rewrite
Everything You Need
to Run on Any Cloud
Software built for one cloud is expensive to move. A mandate says do not depend on one, a customer or region requires a specific cloud, or a client migration calls for it. Whether you sell software, run your own, or migrate it for a client, Tensor9 runs your existing stack natively on any cloud, from one codebase, so a new cloud is a new target instead of a new project.
Adapt Your Existing Stack
Problem
Every cloud exposes different services and primitives. Your databases, queues, storage, networking, and identity are all written against one provider, so the stack will not run somewhere else as-is.
Solution
Tensor9 models your existing stack and maps every service and primitive it depends on to what the target cloud provides, so the whole thing runs natively on the new cloud, not just the application.
Run Without Rewriting Code
Problem
Moving clouds normally means changing application code to call the new provider's APIs. That is slow, risky, and something you have to maintain from then on.
Solution
Tensor9 makes the target cloud present the interfaces your software was already built for, so your application code stays the same. You ship the same container image and code, pointed at the new environment's endpoints and credentials.
sqs.sendMessage(queue, msg)
rds.query("SELECT ...")
Customized to Each Target
Problem
Clouds behave differently underneath. Performance and semantics vary, and the last mile of a move is where generic tooling stops and the real work starts.
Solution
Where a target needs deeper customization, Tensor9's team tunes and operates the software with you, handling the differences between clouds and drawing on what we have learned across many projects.
How Tensor9 Works
Your Stack, Compiled for Any Cloud
Point Tensor9 at the stack you already have. It runs natively on the target cloud using that cloud's own services, with no application code to rewrite, and our team works the details of each new cloud with you.
Service Portability
Do not rearchitect your software for every cloud. Tensor9 maps the managed services in your existing stack to the corresponding services in AWS, Azure, GCP, and sovereign clouds.
SOC 2 Type II Certified
With Tensor9 vs. Do-It-Yourself
The same software running natively on every cloud
A separate port and codebase per cloud
Keep your managed services on each cloud
Rewrite to a generic abstraction to stay portable
Freedom to move to any cloud on demand
Locked to one provider, or months of porting to leave
Single codebase to maintain
Multiple cloud-specific versions to patch
Native services and cost where the target offers them
Compromised architecture to stay portable
Frequently Asked Questions
Tensor9 is a software adaptation platform. We run your existing stack natively on any cloud, whether you sell software, run your own workloads, or migrate them for a client. We compile your software for each cloud target and translate the managed services it depends on, so you never maintain a separate codebase per cloud.
Yes. Cloud portability applies whether you deliver software to customers or run your own workloads. The same approach lets an enterprise take an application built for one cloud and run it natively on another, without a rewrite, which is common after an acquisition, under a mandate to avoid a single provider, or when a region requires a specific cloud.
Yes. Tensor9 adapts each application to run natively on the destination cloud and translates the managed services it depends on, so a migration lands in weeks and the same approach repeats across clients, instead of a bespoke project each time.
AWS, Azure, GCP, Oracle Cloud, and sovereign or regional clouds. Adding a cloud is a new compile target, not a new project.
No. Tensor9 adapts your existing stack to run natively on the target cloud and translates the managed services it uses into local equivalents, so you deploy without maintaining separate codebases.
Tensor9 maps each one to the target cloud's equivalent automatically. You keep RDS, SQS, S3, and the rest of the managed services you build on, instead of replacing them with a generic abstraction. We match each service on the behavior your code relies on, and where a target's equivalent differs in consistency, ordering, or throughput, we reconcile it in the translation layer or surface the difference before you deploy.
Close, and we are explicit where they are not. Managed services differ in details like delivery guarantees, consistency, and limits. Tensor9 preserves the behavior your application depends on and gives you a written diff of anything that changes, so your team reviews it up front instead of finding it at runtime.
No. An abstraction forces your software into a common shape and asks you to give up the native services underneath. Tensor9 does the opposite: it adapts your software as it is to run natively on each cloud, using that cloud's own services.
For most teams we analyze and compile your existing stack in one to two weeks, and your first deployment on a new cloud can be live shortly after. There is no re-architecture and no separate platform team to hire.
Yes. Running natively on a customer's cloud lets you transact through that cloud's marketplace against their committed spend, which turns each cloud into a channel you can sell through.