Focus on Building. We’ve Got the Rest Covered.
Automate complex deployments with Cloudomation Engine, reduce deployment friction and scale with confidence.
❌ Without Cloudomation Engine
From Chaotic Pipelines
Complex, error-prone deployments that resist automation.
- Manual deployments are slow, error-prone, and poorly documented.
- Existing automation attempts failed due to complexity and lack of resources.
- Cross-team alignment on automation is difficult.
These issues hinder innovation, increase risks, and create friction between teams.
✅ With Cloudomation Engine
To Smooth Deployments
End-to-end deployment automation with Cloudomation Engine.
- Model software, components, and dependencies for clear automation.
- Automate complex deployment logic using Python.
- Gain full visibility with visualized deployment processes.
With Cloudomation Engine, teams build reliable infrastructure while developers ship faster.
How It Works
Pro-code automation
This allows unprecedented flexibility with no predefined data model and no limits to express complexity.
Visual Modeling
Visual modeling of your software as a basis for your automation: Describe your software. Use the model in deployment automation. Keep track of things.
Lean, fast, customer-centric
Lightweight platform, focus on customer enablement, customer-centric product development.
Outcome
Modeling your software provides an overview and basis for deployment automation
Flexible automation that grows with the user
Tailored to your requirements: As simple as possible, as complex as necessary. Adding, removing and changing release variants is quick and easy.
Visibility and opportunity to collaborate on the process for all teams
Graphical representation of the process also tangible for non-technicians. Traceability for all process steps.
Frequently Asked Questions
A deployment target is a location where software is installed – this can be a single server, but it can also be multiple servers or VMs. There is no limit on the number of deployment targets that can be automated with Cloudomation Engine.
Yes, a component can be deployed to multiple different servers. Multiple components can also be deployed on a single server, or a component can be deployed on its own server while others are deployed on shared ones, etc. How and where the software is deployed is fully customizable.
No agents need to be pre-installed on the deployment targets. For example, Cloudomation can connect to a server agentlessly via SSH to install software. Cloudomation can also directly interact with APIs of cloud providers or virtualization technologies to create the infrastructure on which the software is then installed.
Any error-catching logic can be implemented. By default, all connectors pass on errors they encounter, allowing you to define in the Python logic within Cloudomation Engine how to handle these errors. You can also use general error-handling logic that defines how to proceed independently of specific errors (for instance, when it is not known which errors might occur), such as sending notifications.
Logs are stored on the Cloudomation server. There is a log expiry logic that can be customized. Generally, we recommend deleting older logs from the Cloudomation server. A log archiving logic can be implemented to write logs to a log server or an archive.
There are no inherent limits on the software side, but performance heavily depends on the volume and size of the data being transferred. Depending on the amount of data to be transferred, the Cloudomation server may also need to be appropriately “sized”.
Start now with Cloudomation Engine
Streamline operations, optimize collaboration, and deliver faster. Let’s discuss how our platform can help you overcome challenges and hit your goals.