The Automic Release Automation Alternative
Migrate from Automic ARA to Cloudomation Engine.
Get a solution that you can customise to your exact requirements.
Complex deployments. Many deployment targets. Numerous dependencies. Many variants. Automating this is difficult.
Customers who have replaced their Automic ARA solution with Cloudomation Engine have therefore been looking for alternatives for a long time. Because: Automic ARA can do a lot. With Cloudomation Engine there is finally an alternative that allows you to map the same complexity as with ARA.
- Thanks to the use of Python as the automation language (instead of Automic Script), Cloudomation Engine is much more accessible.
- Create and extend the automations yourself. Gladly with our support, but always with the aim of maintaining your independence from expensive consultants.
- Cloudomation Engine is much lighter in terms of installation and maintenance, and its price is geared towards medium-sized businesses, which we see as our main target group in the long term.
Cloudomation Engine vs. Automic ARA
| Feature | Cloudomation Engine | Automic ARA |
|---|---|---|
Code-based automation | Custom with Python. | Provider specific script language that must be learned and has limitations. |
Agentless Automation No agent or other component needs to be running on the target system to enable automation. Only accessibility via the network and remote access must be given. | – | |
Installation | Simple. Via Docker Compose. | Complex. Requires many components. Additional licenses required for database backend (Oracle, MS SQL, DB2). |
Maintenance | Easy | Complex |
Git Integration | ||
REST API | ||
Custom REST API | Any data and parameters can be accepted and any responses can be defined. | – |
Custom and dynamic property values | Properties to parameterise distributions and components can be added. The data model describing applications and components is fully customisable. For example, the Version property is a standard property for an application that can be used to parameterize deployments. You can also add custom properties, e.g. “license information”, “database backend type”, “datacenter location” and “customer information”. The data model is fully customizable, so you can add or remove properties. Properties can also be created dynamically during a workflow, e.g. when reading properties from a database that can contain different fields at different times or when certain properties are only created for individual / special deployments. | Can be added. The data model is not customisable. |
Interface mocking Using mock objects for tests to mimic a specific behavior. | – | |
Interface Analysis Gather information about remote systems and run common procedures on them. | Limited | |
Interface monitoring Monitoring of systems. Notification when certain conditions apply. | – | |
Live monitoring Display executions that are currently running or have finished. | ||
Role Based Access Control | ||
Automatic rollback Rollback of already running and running processes. | ||
Snapshots | ||
Scheduling Executions at specific times or time intervals. | ||
Notifications | ||
Plugins | Yes, extensions developed by Cloudomation are available. | Community-Plugins |
Features
The most important features at a glance.
Managed Cloud, Managed On-Premise, Self-Hosted
Decide on your preferred hosting.
Python Based
Master complexity with the help of Python. Functional limitations are a thing of the past.
Self-Repair Mechanisms
Make your automation resilient. With intelligent self-repair mechanisms in the event of errors, through repetitions, user interaction and savepoints.
Git Integration
Use all the version control features of Git.
Agentless Automation
Skip complicated installations, configuration processes and software management on the target system. Information is transferred without a proprietary agent.
Role Based Access Control
Specify individually the authorizations and who may access functions.
Visualisation
See visually how your automation is behaving. Understand when what how and where an automation is carried out.
Schema validation
Validate data against defined schemas. Ensure that data is converted to the correct data type for further processing.
Secret Management
Store confidential information securely and centrally in a Vault. Secrets are only used during an execution of a flow and are never stored or displayed in Cloudomation Engine.
Tools Integration
Integrate software and systems with connectors, webhooks and APIs. Mock, monitor and analyse interfaces and receive notification of changes.
Flexible Scheduling
Python allows you to define the scheduler the way you want it. Set a precise schedule for the execution of a flow: at a fixed or flexible interval (minute, hour, days…) or by querying a third party system.
API-Management
Create and manage REST APIs. Use webhooks at the push of a button.
Continuous Deployment with Cloudomation Engine
Cloudomation Engine
- Model software, components, and dependencies for clear automation.
- Automate complex deployment logic using Python.
- Gain full visibility with visualized deployment processes.
Meet Your New Automation Platform and Platform Engineering Tool
Streamline operations, optimize collaboration, and deliver faster. Let’s discuss how our platform can help you overcome challenges and hit your goals.