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Upsun and Porter both wrap a developer-friendly deployment workflow around infrastructure that would otherwise require expertise, but they solve the problem from opposite ends. Upsun is a managed multi-cloud PaaS that runs application infrastructure across AWS, Google Cloud, Azure, OVHcloud, and IBM Cloud. Porter is a Kubernetes abstraction layer that provisions a cluster inside your own AWS, GCP, Azure, or DigitalOcean account.
Developers compare them because both promise a similar outcome: Git-push deployment, managed services, autoscaling, and an escape from raw cloud infrastructure. The difference is who owns the cluster underneath. Porter gives you a friendlier face on a Kubernetes cluster you own. Upsun removes the cluster entirely.
In short: Choose Porter if you want Kubernetes, you don't have to manage in your cloud, Upsun if you want application infrastructure operated by the platform across multiple cloud providers.
Both platforms wrap a Heroku-style developer experience around infrastructure that would otherwise require expertise. Each supports Git-push deployment, a wide range of languages including Node.js, Python, Ruby, Go, PHP, and Java, automatic SSL, and managed databases provisioned through the platform. Both offer web dashboards and CLIs, both support preview environments tied to Git branches, and both let developers deploy applications without writing Kubernetes YAML or cloud provider configuration.
The conceptual workflow is similar. What differs is what sits underneath, and who is responsible for it.
Criterion | Upsun | Porter |
| Hosting model | Managed multi-cloud PaaS | Kubernetes abstraction in your cloud account (BYOC) |
| Cloud providers | AWS, GCP, Azure, OVHcloud, IBM Cloud | AWS (EKS only), GCP, Azure, DigitalOcean |
| Billing model | Single platform bill (resource-based) | Two bills: cloud provider + Porter subscription |
| Deployment workflow | Git push, YAML-based config | Git push, dashboard, Porter CLI |
| Preview environments | Production clones with live data, under one minute | Branch-based preview apps |
| Scaling | Automatic horizontal and vertical scaling | Kubernetes-native autoscaling (HPA, VPA) |
| Managed services | PostgreSQL, MySQL, Redis, Elasticsearch, OpenSearch, RabbitMQ, Kafka | Add-ons for databases and caches, plus cloud-native services |
| Infrastructure ownership | Platform-owned and operated | Customer-owned; persists if you leave Porter |
| Compliance | ISO 27001, SOC 2, PCI DSS, HIPAA, GDPR | Inherited from your cloud account; you carry the certification work |
| Source of truth | YAML config in your repository | Porter dashboard plus manual cloud console state |
| Best suited for | Teams wanting managed infrastructure and built-in compliance | Teams with existing cloud spend wanting Kubernetes power without operating it |
The category difference is the headline of this comparison. Upsun runs your application on infrastructure that the platform operates across five major cloud providers. You choose where to deploy, and Upsun handles provisioning, networking, OS-level updates, and security patching. The same YAML configuration deploys identically across AWS, GCP, Azure, OVHcloud, or IBM Cloud.
Porter takes a different approach. You connect Porter to your AWS, GCP, Azure, or DigitalOcean account, and Porter provisions a Kubernetes cluster inside it. For AWS specifically, Porter provisions an EKS (Elastic Kubernetes Service) cluster. From that point on, the cluster belongs to you. Porter operates a control plane that monitors and manages your cluster, but the resources, the cloud bill, and ultimately the cluster itself sit in your account. If you stop using Porter, the cluster keeps running. You just lose the abstraction layer Porter provides.
This is genuine BYOC (Bring Your Own Cloud), and it is Porter's strongest differentiator. Teams with existing cloud commitments, credits, or compliance work already done inside their AWS or GCP account can leverage all of it.
Both platforms deploy on a Git push, but the configuration source of truth differs. Upsun uses a single .upsun/config.yaml file in your repository that defines services, routes, environment variables, and infrastructure for every branch. The config travels with the code, which makes environments reproducible through pull requests.
Porter configures applications through its web dashboard, backed by Helm charts under the hood. Developers can deploy from Git connections, via the Porter CLI, or through the dashboard interface. Add-ons such as managed databases and caches install with a few clicks. One trade-off: after Porter provisions resources in your cloud, infrastructure changes made outside Porter (in the AWS or GCP console, for instance) are not always reflected back in Porter's view, which can fragment the source of truth.
Teams that want everything declared in version-controlled YAML will prefer Upsun. Teams that want a dashboard-driven workflow with Kubernetes underneath will prefer Porter.
Both platforms scale automatically, but the mechanisms differ. Upsun supports automatic horizontal and vertical scaling for application containers, with database read replicas scaling independently. Production environments can be cloned in under a minute, with live data, for testing or feature work.
Porter inherits Kubernetes-native scaling primitives, including Horizontal Pod Autoscaler (HPA) and Vertical Pod Autoscaler (VPA). For teams that already understand Kubernetes scaling patterns, this offers significant flexibility, and Porter's pricing actually rewards scale: the per-resource cost decreases as you grow, with a volume discount available at 40+ vCPU or 80+ GB RAM. The trade-off is that scaling decisions can require Kubernetes context that the abstraction does not fully hide.
Porter wins on scaling flexibility for teams comfortable with Kubernetes concepts. Upsun wins on simplicity for teams that want autoscaling without the underlying mental model.
Upsun provides a managed services catalog including PostgreSQL, MySQL, MariaDB, Redis, Elasticsearch, OpenSearch, RabbitMQ, and Kafka. Services are provisioned through the YAML config and inherit the platform's backup, scaling, and security policies. Observability comes built in: infrastructure metrics, logs, and continuous profiling are part of the platform.
Porter offers add-ons for common databases and caches, deployed as Kubernetes workloads inside your cluster. It also lets you connect to native cloud services such as RDS, Cloud SQL, or Azure Database, which is useful for teams that prefer managed cloud databases over containerized ones. Observability is partially provided through Porter's dashboard, but production teams typically supplement with external tools such as Datadog, New Relic, or a self-hosted Prometheus and Grafana stack.
Porter wins on cloud-native service integration. Upsun wins on integrated observability and zero-configuration managed services.
The pricing models are structurally different and worth understanding before choosing.
Porter charges a subscription for the management layer, ranging from $50 to $1,250 per month, depending on plan, on top of whatever you pay your cloud provider. The Porter bill covers the control plane, monitoring, and developer experience. The cloud bill covers compute, storage, and networking at standard provider rates. Porter's pricing scales sublinearly: per-resource costs decrease as you grow.
Upsun uses resource-based pricing, where you only pay for the resources you provision: CPU, RAM, and storage. There are no fixed tiers or surprise bandwidth charges, and you receive a single bill for both platform and infrastructure. For teams with existing cloud commitments or credits, Porter's BYOC model can be meaningfully cheaper at scale. For teams without that existing investment, Upsun's single-bill model is simpler to budget and operate.
The honest version: Porter is cheaper when you have existing cloud spend you want to leverage. Upsun is cheaper when you do not, and easier to reason about either way.
This is where the platforms diverge sharply. Upsun holds ISO 27001, SOC 2, PCI DSS, HIPAA, and GDPR certifications. These are platform-level guarantees that customers inherit when deploying. Security patches, vulnerability management, and infrastructure-level compliance controls are managed by the platform.
Porter's compliance posture is more complicated. Because Porter runs in your cloud account, you inherit whatever compliance posture your cloud provider offers, but the certification work for your application and infrastructure remains with you. AWS, GCP, and Azure are individually certified for SOC 2, HIPAA, and PCI DSS, but having a compliant cloud provider is not the same as having a compliant application stack. You still carry responsibility for audit logging, access controls, configuration management, and Kubernetes-level hardening. Teams in regulated industries who use Porter typically need internal compliance expertise that teams using a fully managed platform do not.
Porter is the right tool when retaining cluster ownership matters more than offloading infrastructure entirely. Pick Porter if:
Porter has built a credible Kubernetes abstraction layer for teams that want infrastructure ownership without operational pain. For the right team, it bridges the gap between simple PaaS and full Kubernetes management.
Upsun is the right tool when infrastructure ownership stops being worth the operational and compliance cost. Pick Upsun if:
The line between "Porter is enough" and "Porter still requires too much infrastructure attention" usually crosses when compliance, multi-cloud, or operational simplicity becomes the priority. That crossover is when Upsun becomes the cheaper option, even when its monthly invoice looks different from a Porter plus cloud combination.
A Porter-to-Upsun migration moves your applications, services, and data from a Kubernetes cluster in your cloud account onto a fully managed platform. The process involves six main steps:
A production migration typically takes 6 to 9 weeks, with the longest phases being infrastructure documentation, MVP testing, and data validation. For Porter setups with custom Helm charts, complex add-on configurations, or significant cloud-native service integration, expect additional time to translate those into Upsun's equivalent constructs.
Is Porter open source?
Porter's core codebase is open source under the MIT license. The hosted control plane and several enterprise features are commercial. You can self-host the open-source version of Porter, but most production users run Porter's managed control plane with their own cloud account underneath, paying Porter for the management layer and the cloud provider for infrastructure.
Does Porter work with AWS, GCP, and Azure?
Yes. Porter provisions Kubernetes clusters in AWS, Google Cloud, Microsoft Azure, and DigitalOcean accounts. On AWS specifically, Porter provisions EKS (Elastic Kubernetes Service) clusters; equivalent managed Kubernetes services are used on the other clouds. Multi-cloud deployment from a single Porter setup is supported, but each cloud requires its own cluster and connection.
What is Porter's pricing model?
Porter charges a subscription for its management layer, ranging from $50 to $1,250 per month, depending on plan and usage, on top of your cloud provider bill. Porter's pricing scales sublinearly, meaning per-resource costs decrease as your usage grows, with a volume discount kicking in around 40+ vCPU or 80+ GB RAM. Total cost is the sum of the Porter subscription and your AWS, GCP, Azure, or DigitalOcean bill for the underlying compute, storage, and networking.
Can I leave Porter without losing my infrastructure?
Yes. Because Porter provisions resources in your own cloud account, the Kubernetes cluster, applications, and data remain in your possession if you stop paying for Porter. The cluster keeps running. What you lose is the abstraction layer Porter provides, which means you become responsible for managing the cluster directly through the cloud provider's tools. This BYOC ownership model is one of Porter's defining advantages.
Does Upsun support multi-cloud deployment?
Yes. Upsun deploys across AWS, Google Cloud Platform, Microsoft Azure, OVHcloud, and IBM Cloud through identical workflows defined in a single .upsun/config.yaml file. Unlike Porter, which requires a separate cluster per cloud, Upsun abstracts multi-cloud through a unified platform interface. Teams can meet data residency, compliance, and latency requirements without managing per-cloud infrastructure.
What is Upsun's pricing model?
Upsun uses resource-based pricing, where you only pay for the resources you provision: CPU, RAM, and storage. There are no fixed tiers or surprise bandwidth charges, and you receive a single bill for both platform and infrastructure. This is structurally different from Porter, which charges a subscription on top of your separate cloud provider bill. Upsun is simpler to budget; Porter can be cheaper when you have existing cloud spend to leverage.
Is Porter cheaper than Upsun?
It depends on your existing cloud spend. If you already pay AWS, GCP, or Azure for compute and have credits, commits, or enterprise discounts, Porter can be cheaper at scale because per-resource costs decrease as you grow. If you do not have existing cloud commitments, Upsun's single-bill resource-based pricing is typically more predictable and competitive, especially when factoring in the compliance and observability work that Porter leaves to the customer.