Porter 2.0
Platform as a Service that deploys apps into your own AWS, Google Cloud, or Azure account with Kubernetes
| What is it | Platform as a Service that deploys apps into your own AWS, Google Cloud, or Azure account with Kubernetes |
|---|---|
| Pricing | Paid |
| Free tier | No |
| Platform | Web Application |
| Best for | deploying web applications to cloud infrastructure, managing Kubernetes clusters without deep expertise |
| Domain registered | 2021 |
Data updated Aug. 1, 2026
What does Porter 2.0 do?
Porter 2.0 is a Platform as a Service that lets developers deploy applications directly into their own cloud accounts on AWS, Google Cloud, or Azure. Instead of using shared infrastructure, you maintain full control over your cloud environment while Porter handles the complex setup and management. The platform creates production-ready Kubernetes clusters, configures VPCs, sets up load balancers, and manages image registries—all within your own cloud account.
You connect your GitHub repository, and Porter automatically builds your application using either Dockerfiles or Cloud Native Buildpacks. It sets up CI/CD pipelines using GitHub Actions that you can customize later. The platform includes built-in monitoring that stores application metrics for 30 days and logs for 7 days, with Slack alerts for critical events like memory errors or crash loops. For more advanced needs, you can deploy third-party services like DataDog or New Relic as addons.
This tool works best for development teams that want the simplicity of a Platform as a Service but need the control and cost management of their own cloud infrastructure. It's particularly useful for startups and growing companies that need to deploy applications quickly while maintaining the ability to customize their infrastructure as they scale. Teams can use it to spin up preview environments for pull requests, making collaboration and code review more efficient.
Key features
What makes it stand outWho is Porter 2.0 for?
Who benefits most from this toolPricing
Porter Cloud
- 20 vCPU
- 10 GB RAM
- Auto Deploys from Git
- Web Services, Workers, Cron Jobs
- Autoscaling
- Monitoring & Logging
- Preview Environments
- Eject to AWS, Azure, or GCP anytime
Standard
- 13 vCPU
- 6 GB RAM
- Deploy from GitHub
- Unlimited Applications
- Preview Environments
- Autoscaling
- Jobs & Cron Jobs
- Certificate Management
- Monitoring (30 days retention)
- Logging (7 days retention)
- Custom Autoscaling
- Alerting
Enterprise
Everything in Standard, plus:
- 40 vCPU
- 80 GB RAM
- Premium Support (SLO available)
- Advanced RBAC
- SAML-based SSO
- Custom Alerts
- On-Prem Installation
Trust & presence
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