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Deploying and Managing Projects

Deploying and managing projects in AutomatR Studio is a crucial aspect of the Robotic Process Automation (RPA) development lifecycle. This phase involves taking the automation workflows created in AutomatR Studio and making them ready for execution on various environments. Here's a brief overview of deploying and managing projects in AutomatR Studio:

  1. Publishing a Project:

    • To deploy a AutomatR project, you start by publishing it. Publishing converts your workflow into a package that can be executed by a AutomatR bot.
    • Click on the Publish button from the Design tab in AutomatR Studio to generate a package.
    • Packages can be published to AutomtR Orchestrator, a local directory, or manually distributed to bots.

  2. AutomatR Orchestrator Deployment:

    • AutomatR Orchestrator is a central management platform that allows you to schedule, monitor, and manage your automations.
    • Publish your project to AutomatR Orchestrator for centralized control and scalability.
    • AutomatR Orchestrator ensures version control, security, and remote execution capabilities.

  3. Version Control:

    • AutomatR Studio supports Git version control system.
    • It allows you to track changes, collaborate with a team, and roll back to previous versions when necessary.

  4. Bot Management:

    • After deploying a project, you need to ensure that AutomatR bots are correctly configured and have access to the necessary resources.
    • AutomatR Orchestrator simplifies bot management by providing a centralized interface for monitoring and configuring bots.

  5. Environment Management:

    • Environments help you organize and execute projects in AutomatR Orchestrator.
    • You can assign bots to specific environments, allowing for better control over where and how your automations run.

  6. Monitoring and Logging:

    • Effective project management includes monitoring and logging to track the performance and health of your automations.
    • AutomatR provides comprehensive logging capabilities and dashboards to monitor the execution of your deployed projects.

  7. Scaling and Maintenance:

    • As your automation initiatives grow, you may need to scale your deployments across multiple machines or environments.
    • Regular maintenance and updates are essential to keep your projects running smoothly and efficiently.
    • We create dynamic instances on AWS/Azure and deploy dynamic bots to achieve scalability.

In summary, deploying and managing projects in AutomatR Studio involves a series of steps to ensure that your automation workflows are efficiently executed, monitored, and maintained. Whether you use AutomatR Orchestrator for centralized control or deploy locally, effective project management is essential for successful RPA implementation.