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Your cloud platform shapes how fast your team ships, how well your apps scale, and how much time your engineers spend on infrastructure. The right one handles that, so your team can focus on the product.
Cloud platforms give you a managed environment to build, deploy, and scale your applications. Most, however, come with limitations that only surface once you're committed. Understanding which category a provider belongs to tells you what it was built to optimize and where it falls short.
| Criteria | Specialized platforms (Vercel · Netlify · Pantheon · Acquia) | Developer-first (Heroku · Render) | Hyperscalers (AWS · Azure · GCP) | Cloud application platform (Upsun) |
| Preview environment | Frontend or CMS previews; full-stack not cloned | App previews only; stateful services excluded | Build it yourself | Full-stack clone per branch (apps, DBs, services, queues) |
| Multicloud options | Single cloud, vendor-managed | Single cloud (AWS) | Single hyperscaler | AWS, Azure, GCP, IBM, OVH (14 regions) |
| Pricing model | Usage-based/tier-bound per site | Dyno + per-add-on; breaks at scale | Hard to predict, easy to leak | Predictable and transparent model |
| Security and compliance | Narrower than enterprise needs | Shallow audit, no sovereignty | Shared responsibility(you implement most) | GDPR, SOC2, ISO; RBAC, SSO/SAML, audit logs; sovereignty options |
| Dev autonomy + governance | Minimal | Limited controls | Build it yourself (IAM, IaC) | Platform-as-code; RBAC, SSO included |
| Built-in observability | Basic platform metrics | Bolt-on required | Integrate separately(APM bolt-on) | Native APM and profiling (Blackfire) |
| Enterprise SLA | Enterprise tier only | Plan-tier dependent | Per service; you stitch | 99.99% uptime SLA available |
Bugs found in production cost time and weaken customer trust. Preview environments that clone production, including data and services, catch issues on every branch before release.
Deploy across AWS, GCP, Azure, IBM Cloud, and OVHcloud without rebuilding your infrastructure. You control where your data lives, meet regional requirements, and optimize cost.
Predictable pricing model means you can calculate infrastructure costs before you commit and forecast as you scale. You define what your application uses and pay for that allocation.
Whatever the platform doesn't handle, your engineers do: observability, environment setup, compliance, infrastructure, and incident response. The right platform reduces this load.
How long it takes to move from a code commit to a live environment sets your delivery pace. Manual setup and slow pipelines hold teams back without adding safety.
The right platform gives engineering teams speed to ship while keeping compliance teams confident about access controls and auditability.
Upsun is built for teams running production workloads past the limits of frontend-first platforms or simpler PaaS without the operational burden of running on a hyperscaler.
Upsun takes infrastructure off your team so they can ship. That's the right move for most workloads; however, not every workload. Here's how to tell where Upsun fits.
Teams running production workloads on complex stacks who need a platform that scales with them.
Some workloads are better served by other tools. Upsun isn't the right fit for:
Connect your repo and run your stack on any cloud. Start your 15-day free trial. No credit card required.
Start your free trialUpsun charges based on resources allocated to your applications: compute, RAM, and storage per environment. You define resources in the configuration, so costs reflect what you've allocated rather than unpredictable usage spikes. You can model costs accurately before you commit.
Upsun supports horizontal autoscaling: the platform adds application instances in response to traffic load without manual intervention. Vertical scaling, increasing compute or RAM for a specific service, is a manual configuration change. If your scaling requirements are primarily traffic-driven, horizontal autoscaling handles it. If your workload needs a larger instance type, that's a configuration decision. There are no artificial platform ceilings; resource limits reflect what you configure and pay for.
Upsun runs on AWS, Azure, GCP, IBM Cloud, and OVH. You choose the provider and region at setup. For organizations under GDPR or data sovereignty requirements, your data sits in the region you select that choice is explicit and verifiable. Upsun does not operate automated cross-region failover by default; failover is an operational decision your team makes, not an automatic platform behavior.
SOC 2 Type 2, PCI DSS Level 1, GDPR, HIPAA, and ISO 27001. These are platform-level certifications covering Upsun's infrastructure and operational controls, not the underlying cloud provider's compliance layer. For procurement processes, certification documentation is available on request.
No. Infrastructure configuration is written in YAML and is not tied to provider-specific APIs or services. Moving between AWS, GCP, Azure, OVH, or IBM Cloud does not require rewriting your infrastructure. You do take a dependency on Upsun as a vendor, which is a smaller and more reversible switching cost than provider-specific infrastructure code but it is not zero.
On a hyperscaler, your team builds and maintains the platform layer: environment provisioning, deployment pipelines, observability tooling, and compliance controls. That is ongoing engineering work. Upsun delivers those capabilities as the product. The tradeoff is control: hyperscalers give more granular infrastructure access; Upsun manages it on your behalf. For teams whose core competency is their application rather than platform engineering, that tradeoff typically reduces total engineering cost.
Ready to see how fast your team ships when infrastructure is no longer the bottleneck?