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.
Why Cloudomation Engine?
- With Python, complex processes can be automated faster and with fewer steps than with other automation solutions.
- No rigid model is given, but the process is set up precisely according to your requirements.
- Thanks to broad integration features including an API manager, it is easy to connect a wide range of tools and systems in the process chain.
Vergleichen: 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
Auf dem Zielsystem muss kein Agent oder keine sonstige Komponente laufen, um die Automatisierung zu ermöglichen. Nur Erreichbarkeit über das Netzwerk und Remote-Zugriff muss gegeben sein.
Installation
Simple. Via Docker Compose.
Complex. Requires many components. Additional licences 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 customizable.
Beispielsweise ist die Eigenschaft "Version" eine Standardeigenschaft für eine Anwendung, die zur Parametrisierung von Deployments verwendet werden kann. Sie können auch benutzerdefinierte Eigenschaften hinzufügen, z. B. "Lizenzinformationen", "Datenbank-Backend-Typ", "Standort des Rechenzentrums" und "Kundeninformationen". Das Datenmodell ist vollständig anpassbar, sodass Sie Eigenschaften erweitern, aber auch entfernen können. Eigenschaften können auch dynamisch während eines Workflows erstellt werden, z. B. beim Auslesen von Properties aus einer Datenbank, die zu unterschiedlichen Zeitpunkten unterschiedliche Felder enthalten können, oder wenn bestimmte Properties nur für einzelne / spezielle Deployments erstellt werden.
Can be added. The data model is not customizable.
Schnittstellen-Mocking
Verwendung von Mock-Objekten für Tests, um ein bestimmtes Verhalten nachzustellen.
Schnittstellen-Analyse
Informationen über Systeme sammeln und Aktionen ausführen können.
Limited
Schnittstellen-Monitoring
Monitoring von Systemen sowie Benachrichtigungsmöglichkeit, wenn bestimmte Bedingungen zutreffen.
Live Monitor
Ausführungen anzeigen lassen, die gerade laufen oder beendet wurden.
Role Based Access Control
Automatisches Rollback
Rollback von ausgeführten und laufenden Prozessen.
Snapshots
Zustand einer Umgebung zu einer gewissen Zeit erfassen. Je nach Kundenwunsch ist eine Erweiterung möglich.
Zustand einer Umgebung zu einer gewissen Zeit erfassen.
Scheduling
Ausführung zu bestimmten Zeiten oder Zeitintervallen.
Notifications
Plugins
Yes, extensions developed by Cloudomation are available.
Community-Plugins
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.
Learn more about Cloudomation Engine
Cloudomation Engine
- Automate processes with a high degree of complexity
- Integration across different platforms
- Event-controlled execution
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