Scaling Automation with Ansible: Best Practices for Successful Data & Analytics Product Onboarding

Automation has become a cornerstone for efficient IT operations, and Ansible has emerged as a leading tool in this space. When onboarding a new data and analytics product, it’s crucial to ensure that the automation tools in use, such as Ansible, are scalable and adaptable to evolving needs. This article will discuss how to scale the use of Ansible during the ongoing support phase of your data & analytics product onboarding, based on the key support features mentioned in the accompanying survey image.

1. Offer Scaling Standards and Best Practices

Scaling automation with Ansible requires adhering to well-defined standards and best practices. This includes:

• Modular Playbooks: Break down complex playbooks into reusable roles and modules. This modularity simplifies maintenance and allows for better scalability as the infrastructure grows.
• Consistent Naming Conventions: Use consistent naming conventions for playbooks, roles, and variables. This improves readability and makes it easier for teams to collaborate.
• Version Control: Use version control systems like Git to manage changes in your Ansible playbooks. This helps in tracking modifications and rolling…