In today’s accelerated business environment, companies need to be able to deploy new IT infrastructure to meet changing business needs quickly. Unfortunately, manual deployment processes are time-consuming and prone to errors, which can result in downtime and lost revenue. As a result, many organizations are turning to infrastructure automation tools, such as Red Hat Ansible, to address this challenge.
Red Hat Ansible is a powerful and flexible automation tool that allows IT teams to automate infrastructure, applications, and services deployment and management. By using Ansible, organizations can quickly and easily deploy new infrastructure, ensure consistency across their environment, and reduce the risk of human error.
In this use case, we’ll explore how a company can use Red Hat Ansible to automate the deployment of a new web server farm. The company has a requirement to deploy a new web server farm to support its e-commerce platform. The farm will consist of 10 web servers, a load balancer, and a database server.
Step 1: Preparing the Ansible Playbook
The first step in automating the new web server farm deployment is to create an Ansible playbook. The playbook is a set of instructions Ansible uses to configure and deploy the infrastructure. In this case, the playbook will include instructions for deploying the web servers, load balancer, and database server.
Step 2: Provisioning the Infrastructure
Once the playbook has been created, the next step is to provide the infrastructure. This can be done using a cloud provider or on-premises infrastructure. In this use case, we’ll assume that the infrastructure has already been provisioned and is ready to be configured.
Step 3: Running the Ansible Playbook
With the infrastructure in place, the next step is to run the Ansible playbook. This can be done by executing a single command on the Ansible control node. The playbook will automatically configure and deploy the web servers, load balancer, and database server.
Step 4: Verifying the Deployment
Once the playbook has been completed, verifying that the deployment was successful is essential. This can be done by checking the logs, running tests, and monitoring the systems.
Conclusion
By automating the deployment of a new web server farm with Red Hat Ansible, the company significantly reduced the time and effort required to deploy the infrastructure. The deployment was completed quickly and with a high degree of accuracy, reducing the risk of downtime and lost revenue. This use case demonstrates the power and flexibility of Ansible for automating infrastructure deployment and management.
