DevOps automation from Git to production
Upsun gives platform and DevOps teams a faster way to ship: automated deployments, production-like environments on every branch, and managed application services that reduce manual cloud operations.
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Manual work is the bottleneck, not your code
Engineering time disappears into setup work
Developers wait for environments, services, and infrastructure that should be automated. Velocity drops not because of the code, but because of the wait.
Staging that doesn't match production
Environment drift turns every release into a debugging session. Bugs surface in production that staging could not catch.
Slow project onboarding
Every new app needs its own CI setup and infrastructure configuration. The same setup process starts from scratch on every project.
From Git push to production in three steps
Define once
Declare your application, services, and environment rules in a single config file. Databases, caches, and queues, all in one place, version-controlled alongside your code.
Push to any branch
Every Git push triggers an isolated, production-like environment automatically, with real services attached and real data cloned in. No tickets, no waiting, no manual setup.
Ship with confidence
Merge when it's ready. Upsun handles the deployment. The environment tears itself down. Your platform team never touched a ticket.
Every step from commit to production
DevOps automation
Cloud DevOps automation should remove the repetitive work between code and production. Upsun reduces manual provisioning, scaling, patching, and environment cleanup so your team can focus on shipping.
Pipeline and deployment automation
Connect Git workflows to reproducible builds and isolated environments with services attached: less custom scripting and fewer deployment handoffs.
Platform engineering without the ticket queue
Platform engineering tools should give developers self-service without turning the platform team into a ticket queue. Upsun standardizes environments, branches, and services at the platform level.
Multi-cloud deployment
Deploy the same application configuration across multiple cloud providers. Choose where workloads run based on compliance, cost, or latency, without rewriting infrastructure for each provider.
Developer productivity
Branch environments are provisioned in minutes with production-like data. Reviewers can test real changes. No staging drift, or it "works on my machine.”
Governance and control
Define environment policies, service configuration, and access controls once. Apply them consistently across teams, projects, and applications.
Why teams choose Upsun over building it themselves
| Upsun | DIY solutions | ||
|---|---|---|---|
| Git workflow | Git push triggers a full build, deploy and environment provision automatically | Git triggers a CI/CD pipeline you wrote, maintain and debug yourself | |
| Preview environments | Every branch gets a full-stack environment with real services and production data cloned in. No scripts, no tickets, no conflicts | You write scripts to spin up per-branch environments. Services are configured separately. Shared staging causes conflicts | |
| Infrastructure as code | Infrastructure, services and application code live in one config file versioned alongside your code. Every environment is built from it | Terraform, Ansible or Pulumi configurations maintained separately from application code. Drift between environments is constant | |
| CI/CD maintenance | One Git-based workflow across every project and team. No custom pipeline logic to write or maintain | Pipelines multiply across projects. Every new app needs its own setup. Pipeline failures block shipping | |
| Deployment consistency | Dev, staging and production are built from the same configuration. What you test is what you ship | Dev, staging and production diverge because each environment is configured independently | |
| Rollbacks expanded | Every deployment maps to a Git commit. Roll back your full stack in one operation | Rolling back means reverting CI/CD config, infrastructure state and application code across separate tools | |
| Multi-cloud | Same config file deploys to any major provider. Switching clouds does not change how your team works | Separate pipeline configuration per cloud provider. Switching clouds means rebuilding your deployment workflow | |
| Platform team overhead expanded | Platform teams define the standard once. Developers self-serve from there. No tickets, no waiting | Every new project needs CI/CD setup, infrastructure provisioning and environment configuration. Platform teams become a bottleneck |
The time we save on the maintenance and upgrading of the infrastructure is now spent on development.
Renaud Grand
CTO, Califrais