Ansible Nested Loops: Simplify Task Iteration with Examples
When working with automation in Ansible, nested loops provide a powerful way to handle complex iterations across multiple lists. By using the with_nested operator, you can iterate over various sets of data within a single task, streamlining your playbooks and improving readability. In this guide, we’ll walk through how to implement Ansible nested loops and explore real-world examples to help you get started.

What Are Ansible Nested Loops?
Ansible nested loops allow you to loop through multiple lists simultaneously. This is similar to how arrays work in programming, but with the added benefit of simplicity and efficiency in your playbooks. By using with_nested, Ansible iterates over all combinations of the lists you provide.
For example, if you have three lists — one with tasks (like “training”, “lab”, and “handson”), one with days (1, 2, 3), and one with outcomes (such as “good”, “bad”, and “great”) — Ansible will iterate through each item, creating all combinations.
How to Use Ansible Nested Loops
Here’s a simple example of an Ansible playbook using nested loops:
---
- hosts: linux
tasks:
- name: Print nested loop
debug:
msg: "ansible {{ item[0] }} on day {{ item[1] }} is {{ item[2] }}"
with_nested:
- ['training', 'lab', 'handson']
- [1, 2, 3]
- ['good', 'bad', 'great']
To run the playbook, simply execute the following command:
ansible-playbook nested.yaml
What Happens When You Run the Playbook?
When the playbook executes, Ansible will loop through all combinations of the lists, printing a message for each combination. For example, the output will show:
ansible training on day 1 is good
ansible training on day 1 is bad
ansible training on day 1 is great
ansible training on day 2 is good
ansible training on day 2 is bad
...
Benefits of Using Ansible Nested Loops
- Efficient Iteration: Nested loops save you from writing repetitive tasks for each list, significantly reducing the amount of code you need to maintain.
- Flexibility: You can easily adjust the data sets, adding or removing items from the lists without changing the structure of the task.
- Cleaner Code: Using nested loops allows for more concise, readable playbooks, which are easier to debug and scale.
Best Practices for Using Ansible Nested Loops
- Keep it Simple: While nested loops are powerful, avoid overly complex combinations of lists. Too many iterations can lead to large output logs, which may be hard to read.
- Use with Other Loops: You can combine
with_nestedwith other loop structures likewith_itemsorwith_dictto handle even more complex automation tasks. - Debugging: Always test your playbooks with smaller datasets first. This helps to verify the logic and ensures that your output is as expected.
Ansible and DevOps: Optimizing Automation Workflows
For teams looking to streamline their automation and ensure security, Ansible nested loops can be a key part of the workflow. As part of a broader DevOps strategy, tools like Ansible integrate well with DevSecOps, AIOps, and MLOps practices to enhance system management and deployment.
To fully optimize your automation workflows, consider integrating solutions that align with Microservices, Cloud Infrastructure, and Automated Ops. By using tools that focus on these areas, you can drive better performance, security, and scalability in your deployments.
ZippyOPS offers comprehensive consulting, implementation, and managed services for automation and DevOps workflows. Whether you’re scaling your infrastructure or enhancing your cloud operations, ZippyOPS can support your journey. Explore ZippyOPS solutions to get expert help in setting up your DevSecOps, Cloud, or AIOps pipelines. You can also check out ZippyOPS’ services for more details.
Conclusion
Ansible nested loops are a simple yet effective way to enhance your automation playbooks. By leveraging with_nested, you can easily iterate over multiple datasets without overcomplicating your code. Whether you’re new to Ansible or looking to refine your automation workflows, nested loops are an essential tool for improving efficiency.
For more advanced guidance and expert support in optimizing your DevOps, AIOps, and DataOps strategies, contact ZippyOPS at sales@zippyops.com. Start optimizing your automation processes today!



