NashTech Insights

How to Monitor and Manage Ansible Environments with Ansible Tower

Rahul Miglani
Rahul Miglani
Table of Contents
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Introduction: Ansible Tower is a powerful automation platform that provides a centralized management interface for Ansible environments. In addition to its automation capabilities, Tower offers robust monitoring and management features, allowing administrators to gain insights into their Ansible deployments and efficiently manage their environments. In this blog, we will explore how to monitor and manage Ansible environments using Tower.

Step 1: Installing and Configuring Ansible Tower

Begin by installing and configuring Tower on a dedicated server or virtual machine. Follow the official Tower documentation for installation instructions. Once installed, access the Tower web interface to configure the necessary settings and set up your admin account.

Step 2: Adding and Managing Inventories

In Tower, inventories represent collections of hosts or groups that you want to manage. Add inventories to Tower, specifying the hosts and groups that should be part of each inventory. You can manually define inventories or use dynamic inventory scripts to generate inventories based on specific criteria. This allows for more flexible and automated inventory management.

Step 3: Configuring Tower Credentials

Credentials are essential for Tower to authenticate and interact with various systems. In the “Credentials” section of Tower, configure the necessary credentials for each system you want to manage. These credentials can include SSH keys, usernames, passwords, or API tokens. Assign these credentials to the appropriate inventories and jobs to ensure secure and efficient access to your managed systems.

Step 4: Creating and Scheduling Jobs

Jobs in Tower represent the execution of Ansible playbooks against specified inventories. Create jobs by defining the playbook(s) to run, the target inventory, and the desired credentials to use. Additionally, you can configure various options such as timeouts, notifications, and survey prompts for user input. Schedule jobs to run at specific times or recurring intervals to automate routine tasks and ensure consistent management of your Ansible environment.

Step 5: Utilizing Tower’s Monitoring and Logging Features Tower provides built-in monitoring and logging features that allow you to track the execution of jobs and gain insights into your Ansible environment. Monitor job status, view execution logs, and review task output to identify any issues or errors. Utilize the logging mechanisms provided by Tower to capture detailed execution logs, aiding in troubleshooting and auditing.

Step 6: Managing Tower with the Tower API Tower exposes a comprehensive RESTful API that enables programmatic management of your Ansible environment. Utilize the Tower API to automate administrative tasks, such as creating and updating inventories, managing credentials, and triggering jobs. This API integration empowers administrators to incorporate Tower into their existing management workflows and enhance the scalability of their Ansible environments.

Sample Ansible Code Snippet:

Conclusion: Tower provides powerful monitoring and management capabilities for Ansible environments, streamlining the administration of automation workflows. By following the steps outlined in this guide, you can effectively monitor and manage your Ansible environments using Tower. From installing and configuring Tower to creating jobs, utilizing monitoring features, and leveraging the Tower API, you can gain valuable insights and maintain control over your automation infrastructure. With Tower, you can ensure efficient and reliable management of your Ansible environments.

Rahul Miglani

Rahul Miglani

Rahul Miglani is Vice President at NashTech and Heads the DevOps Competency and also Heads the Cloud Engineering Practice. He is a DevOps evangelist with a keen focus to build deep relationships with senior technical individuals as well as pre-sales from customers all over the globe to enable them to be DevOps and cloud advocates and help them achieve their automation journey. He also acts as a technical liaison between customers, service engineering teams, and the DevOps community as a whole. Rahul works with customers with the goal of making them solid references on the Cloud container services platforms and also participates as a thought leader in the docker, Kubernetes, container, cloud, and DevOps community. His proficiency includes rich experience in highly optimized, highly available architectural decision-making with an inclination towards logging, monitoring, security, governance, and visualization.

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