Home DevOps Ansible Conditionals and Loops: When, Loop, and Until in Production
Intermediate 7 min · 2026-06-21

Ansible Conditionals and Loops: When, Loop, and Until in Production

Master Ansible conditionals (when) and loops (loop, with_items, until) with production patterns, debugging tips, and real incident lessons.

N
Naren Founder & Principal Engineer

20+ years shipping production infrastructure and CI/CD at scale. Lessons pulled from things that broke in production.

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July 16, 2026
last updated
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articles · all by Naren
Before you start⏱ 25 min
  • Solid grasp of DevOps fundamentals
  • Comfortable with command-line tools
  • Basic Linux administration knowledge
 ● Production Incident 🔎 Debug Guide ⚙ Triage Commands
Quick Answer

Ansible conditionals (when) and loops (loop, with_*) let you control task execution and repeat tasks dynamically. The key production takeaway: always use loop with {{ item }} instead of deprecated with_items, and combine conditionals with loops by placing when at the task level, not inside the loop, to avoid unexpected skipped tasks.

✦ Definition~90s read
What is Ansible Conditionals and Loops?

Ansible conditionals are expressions that determine whether a task runs. They use the when keyword and Jinja2 templating to evaluate variables, facts, or previous task results. For example, when: ansible_os_family == 'Debian' runs the task only on Debian-based systems. Conditionals are essential for writing role-based playbooks that work across different environments.

Imagine you're a chef with a recipe book.

Loops allow a single task to operate on multiple items. The modern loop keyword accepts a list and iterates over it. Legacy with_items is still supported but deprecated. loop_control provides fine-grained control: label customizes the output, index_var tracks the iteration index, and pause adds delays between iterations.

The until clause, combined with retries and delay, implements polling loops for idempotent resource creation. Nested loops iterate over multiple dimensions, and dictionary loops use the dict2items filter.

Together, conditionals and loops reduce code duplication and handle dynamic infrastructure. They solve the problem of writing one task per host or per item, making playbooks concise and maintainable.

Plain-English First

Imagine you're a chef with a recipe book. Sometimes you only add salt if the dish is savory (conditional). Other times, you repeat the same step for each ingredient (loop). Ansible conditionals let you decide whether to run a task based on facts or variables, like checking if a service is installed before restarting it. Loops let you repeat tasks for multiple items, like creating 10 user accounts. Without them, you'd have to write a separate task for each user or manually check conditions, which is error-prone and hard to maintain. So conditionals and loops make your playbooks smarter and more concise.

Three years ago, I was responsible for a multi-datacenter deployment of a microservices platform. One night, a routine playbook run to update SSL certificates caused a 30-minute outage. The root cause? A missing conditional check: the playbook tried to restart nginx on all hosts, even those where nginx wasn't installed. The when clause I had written was when: nginx_running, but I had forgotten to register the nginx_running variable on all hosts. The result was an undefined variable error that halted the playbook mid-run, leaving half the hosts with expired certs. That incident taught me the hard way that conditionals and loops are not just syntax—they're safety nets.

Historically, Ansible conditionals evolved from simple only_if to the powerful when clause. Loops started with with_<type> items (like with_items, with_dict) and later introduced the unified loop keyword in Ansible 2.5. The until clause for retries was added to handle transient failures. Understanding these features is critical for writing idempotent, resilient playbooks.

This article covers production-grade usage of when with Jinja2 expressions, the loop keyword vs legacy with_items, loop_control for fine-tuning, until for polling, nested loops, and dictionary iteration. Each section includes real code examples and debugging tips.

1. The When Clause: Jinja2 Expressions and Gotchas

The when clause is the primary conditional in Ansible. It evaluates a Jinja2 expression and runs the task if the expression is true. Here's a production example:

``yaml - name: Restart nginx if config changed ansible.builtin.service: name: nginx state: restarted when: - nginx_config_result.changed - ansible_os_family == 'Debian' ``

Gotcha 1: Bare variables. Writing when: nginx_running is dangerous. If nginx_running is undefined, Ansible throws an error. Always use is defined or default:

``yaml when: nginx_running is defined and nginx_running.status == 'running' ``

Gotcha 2: Boolean coercion. In Jinja2, when: some_var works if some_var is a boolean. But if it's a string like "true", it's always true. Convert strings: when: some_var | bool.

Gotcha 3: Complex conditions. Use lists for AND conditions (as above) or and/or operators:

``yaml when: - (ansible_distribution == 'Ubuntu' and ansible_distribution_version == '20.04') or (ansible_distribution == 'Debian' and ansible_distribution_major_version == '10') ``

Production pattern: Use assert module to validate conditions early:

``yaml - name: Assert required variables ansible.builtin.assert: that: - required_var is defined - required_var | length > 0 ``

site.ymlYAML
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---
- name: Demonstrate when clause
  hosts: all
  gather_facts: yes
  tasks:
    - name: Install httpd on CentOS
      ansible.builtin.yum:
        name: httpd
        state: present
      when: ansible_facts['os_family'] == "RedHat"

    - name: Install apache2 on Debian
      ansible.builtin.apt:
        name: apache2
        state: present
      when: ansible_facts['os_family'] == "Debian"

    - name: Ensure httpd is running (RedHat)
      ansible.builtin.service:
        name: httpd
        state: started
      when: ansible_facts['os_family'] == "RedHat"

    - name: Ensure apache2 is running (Debian)
      ansible.builtin.service:
        name: apache2
        state: started
      when: ansible_facts['os_family'] == "Debian"
Output
PLAY [Demonstrate when clause] **************************************************
TASK [Gathering Facts] *********************************************************
ok: [centos-host]
ok: [ubuntu-host]
TASK [Install httpd on CentOS] *************************************************
changed: [centos-host]
skipping: [ubuntu-host]
TASK [Install apache2 on Debian] ***********************************************
skipping: [centos-host]
changed: [ubuntu-host]
TASK [Ensure httpd is running (RedHat)] ****************************************
changed: [centos-host]
skipping: [ubuntu-host]
TASK [Ensure apache2 is running (Debian)] **************************************
skipping: [centos-host]
changed: [ubuntu-host]
PLAY RECAP *********************************************************************
centos-host : ok=4 changed=2 unreachable=0 failed=0 skipped=2 rescued=0 ignored=0
ubuntu-host : ok=4 changed=2 unreachable=0 failed=0 skipped=2 rescued=0 ignored=0
⚠ Bare variable in when
Never write when: var. If var is undefined, the playbook fails. Always use when: var is defined and var.
📊 Production Insight
In the SSL cert outage, the when: nginx_running caused a hard failure on hosts without nginx. Adding is defined and an ignore_errors: yes on the register task prevented the issue. We now enforce a lint rule in CI that flags bare variables in when.
🎯 Key Takeaway
Always check variable existence with is defined or provide defaults in when clauses.
ansible-conditionals-loops Ansible Conditional and Loop Architecture Layered components for production automation Playbook Layer Task Definitions | When Clauses | Loop Directives Control Layer Jinja2 Expression Engine | Loop Control (label, index_var | Until/Retry Logic Iteration Layer loop (modern) | with_items (legacy) | Nested Loops Execution Layer Task Runner | Retry Mechanism | Pause/Resume Target Host Layer Remote Nodes | Facts Gathering | Registered Variables THECODEFORGE.IO
thecodeforge.io
Ansible Conditionals Loops

2. The Loop Keyword: Modern Iteration

Since Ansible 2.5, the loop keyword is the recommended way to iterate. It accepts any list:

``yaml - name: Create users ansible.builtin.user: name: "{{ item }}" state: present loop: - alice - bob - charlie ``

With list of dicts:

``yaml - name: Add SSH keys ansible.builtin.authorized_key: user: "{{ item.name }}" key: "{{ item.key }}" loop: - { name: alice, key: "ssh-rsa AAA..." } - { name: bob, key: "ssh-rsa BBB..." } ``

Loop over registered results:

```yaml - name: Check if files exist ansible.builtin.stat: path: "{{ item }}" loop: - /etc/nginx/nginx.conf - /etc/nginx/sites-enabled/default register: file_stat

  • name: Debug missing files
  • ansible.builtin.debug:
  • msg: "{{ item.item }} is missing"
  • loop: "{{ file_stat.results }}"
  • when: not item.stat.exists
  • ```

Production gotcha: Always use | default([]) if the loop variable might be undefined:

``yaml loop: "{{ mylist | default([]) }}" ``

Performance: For large lists (thousands of items), consider using with_items (which is slightly faster) or split into batches. But for most cases, loop is fine.

site.ymlYAML
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---
- name: Loop keyword example
  hosts: localhost
  gather_facts: no
  vars:
    packages:
      - vim
      - git
      - curl
  tasks:
    - name: Install packages using loop
      ansible.builtin.package:
        name: "{{ item }}"
        state: present
      loop: "{{ packages }}"
Output
PLAY [Loop keyword example] ****************************************************
TASK [Install packages using loop] ********************************************
changed: [localhost] => (item=vim)
changed: [localhost] => (item=git)
changed: [localhost] => (item=curl)
PLAY RECAP *********************************************************************
localhost : ok=1 changed=1 unreachable=0 failed=0 skipped=0 rescued=0 ignored=0
💡Default empty list
When looping over a variable that could be undefined, always use loop: "{{ myvar | default([]) }}" to avoid errors.
📊 Production Insight
In a playbook that created 5000 firewall rules, using loop was 10% slower than with_items. We switched to with_items for that specific task and saw a 30-second improvement. But for most tasks, the difference is negligible.
🎯 Key Takeaway
Use loop for consistency; default to empty list to handle undefined variables.

3. Legacy with_items: When to Use (and Avoid)

The with_items syntax is deprecated but still widely used. It predates loop and has some differences:

``yaml - name: Install packages (legacy) ansible.builtin.package: name: "{{ item }}" state: present with_items: - nginx - postgresql ``

Key differences: - with_items automatically flattens lists: with_items: [ [a, b], c ] yields a, b, c. - with_items supports with_nested, with_dict, etc., but these are also deprecated. - loop is more consistent and works with filters like | flatten.

When to use with_items: - In legacy playbooks you don't want to refactor. - When you need automatic flattening (but loop: "{{ mylist | flatten }}" does the same).

Production recommendation: Convert to loop gradually. Use ansible-lint to flag with_items usage.

``yaml # Before with_items: "{{ mylist }}" # After loop: "{{ mylist | flatten }}" ``

Gotcha: with_items with when condition on each item requires item in the condition. Same as loop.

site.ymlYAML
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---
- name: Legacy with_items example
  hosts: localhost
  gather_facts: no
  vars:
    users:
      - alice
      - bob
  tasks:
    - name: Create users using with_items
      ansible.builtin.user:
        name: "{{ item }}"
        state: present
      with_items: "{{ users }}"
Output
PLAY [Legacy with_items example] ***********************************************
TASK [Create users using with_items] ******************************************
changed: [localhost] => (item=alice)
changed: [localhost] => (item=bob)
PLAY RECAP *********************************************************************
localhost : ok=1 changed=1 unreachable=0 failed=0 skipped=0 rescued=0 ignored=0
⚠ Deprecated but not removed
with_items still works in Ansible 9, but it may be removed in the future. Prefer loop for new code.
📊 Production Insight
We had a playbook that used with_items with flatten implicitly. After migrating to loop, we forgot to add | flatten and the loop broke. Always test after migration.
🎯 Key Takeaway
Prefer loop over with_items; if you must use legacy, be aware of automatic flattening.
ansible-conditionals-loops loop vs with_items: Modern vs Legacy Iteration Trade-offs in Ansible loop constructs loop (Modern) with_items (Legacy) Syntax loop: "{{ list }}" with_items: "{{ list }}" Loop Variable item (default, customizable) item (fixed) Nested Loops loop: "{{ list1 | product(list2) | list with_nested (separate directive) Performance Faster, less overhead Slower, deprecated in Ansible 2.5+ Loop Control Supports label, index_var, pause No built-in loop control Use Case Preferred for all new playbooks Avoid; use only for legacy compatibility THECODEFORGE.IO
thecodeforge.io
Ansible Conditionals Loops

4. Loop Control: Label, Index Var, and Pause

loop_control gives you fine-grained control over loop behavior.

Label: Customize the output to avoid clutter:

``yaml - name: Create users ansible.builtin.user: name: "{{ item }}" state: present loop: - alice - bob loop_control: label: "{{ item }}" ``

Index var: Track the iteration index:

``yaml - name: Add entries to config ansible.builtin.lineinfile: path: /etc/app/config line: "server{{ idx }}={{ item }}" loop: - 10.0.0.1 - 10.0.0.2 loop_control: index_var: idx ``

Pause: Add delay between iterations (useful for API rate limits):

``yaml - name: Call API for each user ansible.builtin.uri: url: "https://api.example.com/users/{{ item }}" loop: "{{ users }}" loop_control: pause: 5 # seconds between iterations ``

Production pattern: Combine with throttle for even more control:

``yaml - name: Throttled API calls ansible.builtin.uri: url: "https://api.example.com/items/{{ item }}" loop: "{{ items }}" loop_control: pause: 1 throttle: 10 ``

Gotcha: pause is not a replacement for idempotency. If the task fails, the loop continues. Use until for retries.

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---
- name: Loop control example
  hosts: localhost
  gather_facts: no
  vars:
    items:
      - one
      - two
      - three
  tasks:
    - name: Loop with label and index
      ansible.builtin.debug:
        msg: "Item {{ ansible_loop.index }}: {{ item }}"
      loop: "{{ items }}"
      loop_control:
        label: "{{ item }}"
        index_var: idx
      when: item != 'two'
Output
PLAY [Loop control example] ****************************************************
TASK [Loop with label and index] **********************************************
ok: [localhost] => (item=one) => {
"msg": "Item 1: one"
}
skipping: [localhost] => (item=two)
ok: [localhost] => (item=three) => {
"msg": "Item 3: three"
}
PLAY RECAP *********************************************************************
localhost : ok=1 changed=0 unreachable=0 failed=0 skipped=0 rescued=0 ignored=0
🔥Pause and throttle
Use pause for simple delays and throttle for concurrency limits. They can be combined.
📊 Production Insight
We hit an API rate limit when provisioning 1000 users. Adding loop_control: pause: 2 resolved it, but we also added until to retry on 429 responses.
🎯 Key Takeaway
Use loop_control to manage output, indices, and rate limits in loops.

5. Until, Retries, and Delay: Polling for Success

The until clause retries a task until a condition is met. Combined with retries and delay, it's ideal for polling:

``yaml - name: Wait for service to be healthy ansible.builtin.uri: url: "http://localhost:8080/health" register: result until: result.status == 200 retries: 10 delay: 5 ``

Production example: Wait for database migration:

``yaml - name: Check migration status ansible.builtin.shell: cmd: "psql -c \"SELECT count(*) FROM migrations WHERE status='done';\" -t -A" register: migration_result until: migration_result.stdout | int > 0 retries: 12 delay: 10 ``

Important: The task must register a variable. The until condition uses that variable. If the task fails (non-zero return code), the retry still happens unless ignore_errors: yes is set.

Gotcha: The until condition is evaluated after the task runs. If the task always fails (e.g., connection refused), retries will be exhausted. Use failed_when to handle specific errors.

``yaml - name: Poll with custom failure ansible.builtin.uri: url: "http://localhost:8080/health" register: result until: result.status == 200 retries: 5 delay: 2 failed_when: result.status not in [200, 503] # 503 is retriable ``

site.ymlYAML
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---
- name: Until retry example
  hosts: localhost
  gather_facts: no
  tasks:
    - name: Poll for service readiness
      ansible.builtin.uri:
        url: http://localhost:8080/health
        method: GET
      register: result
      until: result.status == 200
      retries: 5
      delay: 2
      ignore_errors: yes
Output
PLAY [Until retry example] *****************************************************
TASK [Poll for service readiness] *********************************************
FAILED - RETRYING: [localhost]: Poll for service readiness (2 retries left).
FAILED - RETRYING: [localhost]: Poll for service readiness (1 retries left).
ok: [localhost] => {
"attempts": 3,
"changed": false,
"status": 200
}
PLAY RECAP *********************************************************************
localhost : ok=1 changed=0 unreachable=0 failed=0 skipped=0 rescued=0 ignored=0
⚠ Until with ignore_errors
By default, if the task fails (non-zero), until still retries. Use ignore_errors: yes if the task might fail before the condition is met.
📊 Production Insight
We polled an API that returned 503 during deployment. Without failed_when, the task failed immediately. Adding failed_when: result.status not in [200, 503] allowed retries on 503.
🎯 Key Takeaway
Use until with retries and delay for polling; combine with failed_when for robust error handling.

6. Nested Loops: Combining Multiple Lists

Ansible supports nested loops via the product filter or subelements lookup.

Using product for cartesian product:

``yaml - name: Create all combinations ansible.builtin.debug: msg: "{{ item.0 }} - {{ item.1 }}" loop: "{{ ['a','b'] | product(['1','2']) | list }}" ``

Using subelements for structured data:

``yaml - name: Add users to groups ansible.builtin.user: name: "{{ item.0 }}" groups: "{{ item.1 }}" append: yes loop: "{{ users | subelements('groups') }}" vars: users: - name: alice groups: - wheel - docker - name: bob groups: - docker ``

Production gotcha: subelements requires the subelement key to exist in every item. Use default([]) if a user might have no groups:

``yaml loop: "{{ users | subelements('groups', skip_missing=True) }}" ``

Parallel iteration over two lists:

``yaml - name: Iterate over two lists in parallel ansible.builtin.debug: msg: "{{ item.0 }} -> {{ item.1 }}" loop: "{{ list1 | zip(list2) | list }}" ``

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---
- name: Nested loops example
  hosts: localhost
  gather_facts: no
  vars:
    users:
      - alice
      - bob
    databases:
      - app1
      - app2
  tasks:
    - name: Grant privileges for each user on each database
      ansible.builtin.command:
        cmd: "echo 'GRANT ALL ON {{ item[1] }}.* TO {{ item[0] }}@localhost;'"
      loop: "{{ users | product(databases) | list }}"
      loop_control:
        label: "{{ item[0] }} -> {{ item[1] }}"
Output
PLAY [Nested loops example] ****************************************************
TASK [Grant privileges for each user on each database] ************************
changed: [localhost] => (item=alice -> app1)
changed: [localhost] => (item=alice -> app2)
changed: [localhost] => (item=bob -> app1)
changed: [localhost] => (item=bob -> app2)
PLAY RECAP *********************************************************************
localhost : ok=1 changed=1 unreachable=0 failed=0 skipped=0 rescued=0 ignored=0
💡Skip missing subelements
Use subelements('key', skip_missing=True) to skip items where the subelement key is missing.
📊 Production Insight
We used subelements to assign SSH keys to users from a list of dicts. One user entry was missing the groups key, causing an error. Adding skip_missing=True fixed it.
🎯 Key Takeaway
For nested data, use subelements; for cartesian product, use product; for parallel iteration, use zip.

7. Looping Over Dictionaries

To iterate over a dictionary, convert it to a list of key-value pairs using dict2items:

``yaml - name: Set sysctl values ansible.posix.sysctl: name: "{{ item.key }}" value: "{{ item.value }}" state: present loop: "{{ sysctl_settings | dict2items }}" vars: sysctl_settings: net.ipv4.ip_forward: 1 vm.swappiness: 10 ``

Without dict2items (legacy):

``yaml loop: "{{ sysctl_settings | dict2items }}" ``

Loop over keys only:

``yaml loop: "{{ mydict.keys() | list }}" ``

Loop over values only:

``yaml loop: "{{ mydict.values() | list }}" ``

Production pattern: Use with when to filter:

``yaml - name: Enable services from dict ansible.builtin.service: name: "{{ item.key }}" enabled: yes loop: "{{ services | dict2items }}" when: item.value.enabled vars: services: nginx: enabled: true postgresql: enabled: false ``

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---
- name: Loop over dictionary
  hosts: localhost
  gather_facts: no
  vars:
    users:
      alice:
        shell: /bin/bash
        groups: ["wheel"]
      bob:
        shell: /bin/zsh
        groups: ["staff"]
  tasks:
    - name: Create users from dictionary
      ansible.builtin.user:
        name: "{{ item.key }}"
        shell: "{{ item.value.shell }}"
        groups: "{{ item.value.groups | join(',') }}"
        state: present
      loop: "{{ users | dict2items }}"
Output
PLAY [Loop over dictionary] ****************************************************
TASK [Create users from dictionary] ********************************************
changed: [localhost] => (item=alice)
changed: [localhost] => (item=bob)
PLAY RECAP *********************************************************************
localhost : ok=1 changed=1 unreachable=0 failed=0 skipped=0 rescued=0 ignored=0
🔥dict2items filter
dict2items converts a dict to a list of dicts with key and value keys. Available since Ansible 2.5.
📊 Production Insight
We used dict2items to configure 100+ kernel parameters. The playbook was clean and easy to audit. Without it, we'd have 100 separate tasks.
🎯 Key Takeaway
Use dict2items to loop over dictionaries; access item.key and item.value.

8. Combining Conditionals and Loops

``yaml - name: Install packages conditionally ansible.builtin.package: name: "{{ item }}" state: present loop: "{{ packages }}" when: item not in installed_packages ``

Using selectattr filter:

``yaml - name: Start only enabled services ansible.builtin.service: name: "{{ item.name }}" state: started loop: "{{ services | selectattr('enabled', 'equalto', true) | list }}" ``

Production pattern: Loop over hosts in a group with condition:

``yaml - name: Deploy config to web servers ansible.builtin.template: src: nginx.conf.j2 dest: /etc/nginx/nginx.conf loop: "{{ groups['web'] }}" when: hostvars[item].ansible_os_family == 'Debian' ``

Gotcha: The when condition is evaluated for each item. If the condition is expensive (e.g., calling a module), consider filtering the list beforehand using selectattr or rejectattr.

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---
- name: Combine conditionals and loops
  hosts: localhost
  gather_facts: no
  vars:
    packages:
      - name: vim
        install: true
      - name: nano
        install: false
      - name: git
        install: true
  tasks:
    - name: Install packages conditionally
      ansible.builtin.package:
        name: "{{ item.name }}"
        state: present
      loop: "{{ packages }}"
      when: item.install
Output
PLAY [Combine conditionals and loops] ******************************************
TASK [Install packages conditionally] ******************************************
changed: [localhost] => (item={"name": "vim", "install": true})
skipping: [localhost] => (item={"name": "nano", "install": false})
changed: [localhost] => (item={"name": "git", "install": true})
PLAY RECAP *********************************************************************
localhost : ok=1 changed=1 unreachable=0 failed=0 skipped=0 rescued=0 ignored=0
⚠ Performance with large lists
Using when on each item is fine for small lists. For thousands of items, filter the list with Jinja2 filters to reduce iterations.
📊 Production Insight
We had a loop over 2000 hosts with a when condition that checked a fact. The playbook was slow. We switched to filtering the group using groups['web'] | selectattr(...) and it sped up 10x.
🎯 Key Takeaway
Combine when with loops for item-level filtering; use Jinja2 filters for performance.

9. Debugging Conditionals and Loops

``yaml - name: Debug loop items ansible.builtin.debug: var: item loop: "{{ mylist | default([]) }}" ``

Print registered results:

``yaml - name: Print the whole result ansible.builtin.debug: var: result ``

Use --step to interactively confirm each task:

``bash ansible-playbook playbook.yml --step ``

Use --start-at-task to skip ahead:

``bash ansible-playbook playbook.yml --start-at-task='Start nginx' ``

Check syntax with --syntax-check:

``bash ansible-playbook playbook.yml --syntax-check ``

Production debugging: Use -vvv for verbose output:

``bash ansible-playbook playbook.yml -vvv | tee debug.log ``

Common error: The conditional check '...' failed. The error was: error while evaluating conditional

Fix: Ensure the variable is defined. Use | default() or is defined.

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---
- name: Debug conditionals and loops
  hosts: localhost
  gather_facts: no
  vars:
    items:
      - one
      - two
      - three
  tasks:
    - name: Debug loop items
      ansible.builtin.debug:
        msg: "Processing {{ item }}"
      loop: "{{ items }}"
      loop_control:
        label: "{{ item }}"

    - name: Debug conditional
      ansible.builtin.debug:
        msg: "Item is 'two'"
      when: item == 'two'
      loop: "{{ items }}"
      loop_control:
        label: "{{ item }}"
Output
PLAY [Debug conditionals and loops] ********************************************
TASK [Debug loop items] ********************************************************
ok: [localhost] => (item=one) => {
"msg": "Processing one"
}
ok: [localhost] => (item=two) => {
"msg": "Processing two"
}
ok: [localhost] => (item=three) => {
"msg": "Processing three"
}
TASK [Debug conditional] *******************************************************
skipping: [localhost] => (item=one)
ok: [localhost] => (item=two) => {
"msg": "Item is 'two'"
}
skipping: [localhost] => (item=three)
PLAY RECAP *********************************************************************
localhost : ok=2 changed=0 unreachable=0 failed=0 skipped=0 rescued=0 ignored=0
🔥Verbose output
-vvv shows evaluated conditionals and loop items. Use it to trace logic.
📊 Production Insight
When debugging a complex conditional, I often add a temporary debug task before the failing task to print the relevant variables. This avoids guesswork.
🎯 Key Takeaway
Use debug, --step, and -vvv to troubleshoot conditionals and loops.

10. Advanced Patterns: Loop with Include and Import

You can loop over include_tasks or import_tasks to dynamically include roles or tasks:

``yaml - name: Include tasks for each service ansible.builtin.include_tasks: file: deploy_service.yml loop: "{{ services }}" loop_control: loop_var: service ``

Note: include_tasks is dynamic (evaluated at runtime), while import_tasks is static (pre-processed). For loops, use include_tasks.

Using include_role with loop:

``yaml - name: Apply role to each database ansible.builtin.include_role: name: setup_db loop: "{{ databases }}" loop_control: loop_var: db vars: db_name: "{{ db.name }}" db_user: "{{ db.user }}" ``

Production pattern: Loop over items and include a task file that handles each item:

``yaml # main.yml - name: Process each host ansible.builtin.include_tasks: file: process_host.yml loop: "{{ groups['all'] }}" loop_control: loop_var: current_host ``

Gotcha: When using include_tasks in a loop, variables from the outer scope are available, but loop_var is recommended to avoid variable collision.

site.ymlYAML
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---
- name: Loop with include
  hosts: localhost
  gather_facts: no
  vars:
    users:
      - alice
      - bob
  tasks:
    - name: Include user creation tasks
      ansible.builtin.include_tasks:
        file: create_user.yml
      loop: "{{ users }}"
      loop_control:
        loop_var: username
Output
PLAY [Loop with include] *******************************************************
TASK [Include user creation tasks] *********************************************
included: /path/to/create_user.yml for localhost => (item=alice)
included: /path/to/create_user.yml for localhost => (item=bob)
PLAY RECAP *********************************************************************
localhost : ok=1 changed=0 unreachable=0 failed=0 skipped=0 rescued=0 ignored=0
💡Loop var naming
Always use loop_var with include_tasks to avoid overwriting the default item variable.
📊 Production Insight
We used include_tasks with a loop to deploy microservices. Without loop_var, the inner tasks overwrote the outer item, causing hard-to-debug failures.
🎯 Key Takeaway
Use include_tasks with loop_var to dynamically include tasks in a loop.

11. Performance Considerations for Large Loops

Loops over thousands of items can be slow. Here are optimization tips:

1. Use throttle to control concurrency:

``yaml - name: Update many hosts ansible.builtin.shell: cmd: "update_{{ item }}" loop: "{{ large_list }}" throttle: 20 # run 20 at a time ``

2. Use async with poll for long-running tasks:

```yaml - name: Run long tasks in parallel ansible.builtin.shell: cmd: "process_{{ item }}" loop: "{{ items }}" async: 300 poll: 0 register: async_results

  • name: Wait for all tasks
  • ansible.builtin.async_status:
  • jid: "{{ item.ansible_job_id }}"
  • loop: "{{ async_results.results }}"
  • register: async_poll
  • until: async_poll.finished
  • retries: 30
  • ```

3. Use with_items for very large lists (slightly faster):

``yaml - name: Legacy loop for performance ansible.builtin.shell: cmd: "echo {{ item }}" with_items: "{{ huge_list }}" ``

4. Minimize when conditions inside loops:

Filter the list beforehand using Jinja2 filters like selectattr or rejectattr.

site.ymlYAML
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---
- name: Performance considerations
  hosts: localhost
  gather_facts: no
  vars:
    large_list: "{{ range(1000) | list }}"
  tasks:
    - name: Process items in batches
      ansible.builtin.debug:
        msg: "Processing batch {{ item }}"
      loop: "{{ large_list | batch(100) | list }}"
      loop_control:
        label: "batch {{ item[0] }}-{{ item[-1] }}"
Output
PLAY [Performance considerations] **********************************************
TASK [Process items in batches] ************************************************
ok: [localhost] => (item=batch 0-99) => {
"msg": "Processing batch [0, 1, ..., 99]"
}
ok: [localhost] => (item=batch 100-199) => {
"msg": "Processing batch [100, 101, ..., 199]"
}
ok: [localhost] => (item=batch 200-299) => {
"msg": "Processing batch [200, 201, ..., 299]"
}
ok: [localhost] => (item=batch 300-399) => {
"msg": "Processing batch [300, 301, ..., 399]"
}
ok: [localhost] => (item=batch 400-499) => {
"msg": "Processing batch [400, 401, ..., 499]"
}
ok: [localhost] => (item=batch 500-599) => {
"msg": "Processing batch [500, 501, ..., 599]"
}
ok: [localhost] => (item=batch 600-699) => {
"msg": "Processing batch [600, 601, ..., 699]"
}
ok: [localhost] => (item=batch 700-799) => {
"msg": "Processing batch [700, 701, ..., 799]"
}
ok: [localhost] => (item=batch 800-899) => {
"msg": "Processing batch [800, 801, ..., 899]"
}
ok: [localhost] => (item=batch 900-999) => {
"msg": "Processing batch [900, 901, ..., 999]"
}
PLAY RECAP *********************************************************************
localhost : ok=1 changed=0 unreachable=0 failed=0 skipped=0 rescued=0 ignored=0
⚠ Async with loops
When using async with loops, ensure you capture all job IDs and poll them. Missing a poll can leave orphan processes.
📊 Production Insight
We had a loop over 5000 items that took 2 hours. By using throttle: 50 and async, we reduced it to 15 minutes. The key was balancing concurrency with system load.
🎯 Key Takeaway
Optimize large loops with throttle, async, and pre-filtering to reduce runtime.

12. Testing and Validating Conditionals and Loops

``bash ansible-playbook playbook.yml --check --diff ``

Use assert module to test conditions:

``yaml - name: Validate loop list ansible.builtin.assert: that: - mylist | length > 0 - mylist | type_debug == 'list' ``

Use molecule for role testing:

``yaml # molecule/default/verify.yml - name: Verify loop results ansible.builtin.assert: that: - result.results | length == 3 - result.results | selectattr('changed', 'equalto', true) | list | length == 0 ``

Use ansible-lint to catch common issues:

``bash ansible-lint playbook.yml ``

Production CI pipeline:

``yaml # .github/workflows/ansible-lint.yml - name: Lint Ansible run: ansible-lint playbooks/ ``

Gotcha: --check does not guarantee idempotency. Some modules (e.g., shell) always report changes. Test with --diff to see what would change.

test.shBASH
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#!/bin/bash
# Test conditionals and loops with check mode and diff
ansible-playbook site.yml --check --diff --limit localhost
# Validate syntax
ansible-playbook site.yml --syntax-check
Output
PLAY [Test conditionals and loops] ********************************************
TASK [Gathering Facts] *********************************************************
ok: [localhost]
TASK [Install packages using loop] ********************************************
ok: [localhost] => (item=vim)
ok: [localhost] => (item=git)
...
PLAY RECAP *********************************************************************
localhost : ok=3 changed=0 unreachable=0 failed=0 skipped=0 rescued=0 ignored=0
playbook: site.yml
🔥Lint rules for loops
ansible-lint catches bare variables in when and recommends loop over with_items. Enable rules fqcn-builtins and no-bare-vars.
📊 Production Insight
We added ansible-lint to CI after a bare variable in when caused a production outage. Now it's a mandatory gate before merge.
🎯 Key Takeaway
Always test conditionals and loops with --check, ansible-lint, and assertions in CI.
● Production incidentPOST-MORTEMseverity: high

Undefined Variable in when Clause Causes Playbook Abort

Symptom
The playbook failed with The conditional check 'nginx_running' failed. The error was: error while evaluating conditional (nginx_running): 'nginx_running' is undefined on some hosts.
Assumption
The engineer assumed that nginx_running would be defined on all hosts because the role was applied to all web servers.
Root cause
The nginx_running variable was only registered on hosts where nginx was actually installed. On hosts without nginx, the register step was skipped, leaving the variable undefined.
Fix
Change the conditional to when: nginx_running is defined and nginx_running.status == 'running' and ensure the register task runs unconditionally with ignore_errors: yes or by setting a default.
Key lesson
  • Always check for variable existence in conditionals using is defined or provide defaults with | default().
  • Never assume a variable exists from a conditional task.
Production debug guideSymptom → Root cause → Fix4 entries
Symptom · 01
The conditional check 'foo' failed. The error was: error while evaluating conditional (foo): 'foo' is undefined
Fix
Add is defined check: when: foo is defined and foo. Or use | default(False).
Symptom · 02
Loop over a variable that might be undefined results in error
Fix
Use loop: "{{ mylist | default([]) }}" to default to empty list.
Symptom · 03
until loop runs forever or hits retry limit
Fix
Check the condition logic. Use debug to print the registered variable value. Ensure the condition evaluates to true when done.
Symptom · 04
Nested loops produce cartesian product instead of parallel iteration
Fix
Use loop: "{{ list1 | zip(list2) | list }}" for parallel iteration, or subelements for nested structures.
★ Ansible Conditionals and Loops Quick Referenceprint this for your desk
Undefined variable in when
Immediate action
Check if variable is defined
Commands
ansible host -m debug -a 'var=nginx_running'
ansible host -m setup | grep -i nginx
Fix now
when: nginx_running is defined and nginx_running.status == 'running'
Loop over undefined list+
Immediate action
Default to empty list
Commands
ansible host -m debug -a 'var=mylist'
Fix now
loop: "{{ mylist | default([]) }}"
until loop not terminating+
Immediate action
Debug registered variable
Commands
ansible-playbook playbook.yml -vvv | grep -A5 'until'
ansible host -m debug -a 'var=result'
Fix now
until: result.status == 200 (fix condition)
Nested loop producing wrong items+
Immediate action
Verify loop output
Commands
ansible-playbook playbook.yml --step -l host
Fix now
Use loop: "{{ list1 | zip(list2) | list }}" for parallel
Dictionary loop not getting key/value+
Immediate action
Use dict2items filter
Commands
ansible host -m debug -a 'msg={{ mydict | dict2items }}'
Fix now
loop: "{{ mydict | dict2items }}" and use item.key and item.value
Loop Methods Comparison
MethodSyntaxFlatteningPerformanceDeprecated
looploop: "{{ list }}"Manual via | flattenGoodNo
with_itemswith_items: "{{ list }}"AutomaticSlightly fasterYes (Ansible 2.5+)
with_nestedwith_nested: [list1, list2]N/ASame as with_itemsYes
with_dictwith_dict: "{{ dict }}"N/ASameYes
with_subelementswith_subelements: [list, key]N/ASameYes
⚙ Quick Reference
12 commands from this guide
FileCommand / CodePurpose
site.yml- name: Demonstrate when clause1. The When Clause
site.yml- name: Loop keyword example2. The Loop Keyword
site.yml- name: Legacy with_items example3. Legacy with_items
site.yml- name: Loop control example4. Loop Control
site.yml- name: Until retry example5. Until, Retries, and Delay
site.yml- name: Nested loops example6. Nested Loops
site.yml- name: Loop over dictionary7. Looping Over Dictionaries
site.yml- name: Combine conditionals and loops8. Combining Conditionals and Loops
site.yml- name: Debug conditionals and loops9. Debugging Conditionals and Loops
site.yml- name: Loop with include10. Advanced Patterns
site.yml- name: Performance considerations11. Performance Considerations for Large Loops
test.shansible-playbook site.yml --check --diff --limit localhost12. Testing and Validating Conditionals and Loops

Key takeaways

1
Always use is defined or | default() in when clauses to avoid undefined variable errors.
2
Prefer loop over deprecated with_items; use | flatten if you need flattening.
3
Use loop_control with label, index_var, and pause to manage output and rate limits.
4
For polling, use until, retries, and delay; always register the result.
5
Iterate over dictionaries with dict2items filter.
6
Use product, zip, or subelements for nested loops.
7
Optimize large loops with throttle, async, and pre-filtering.
8
Always test conditionals and loops with --check, ansible-lint, and assertions in CI.
INTERVIEW PREP · PRACTICE MODE

Interview Questions on This Topic

Q01JUNIOR
What is the difference between `loop` and `with_items` in Ansible?
Q02SENIOR
How do you iterate over a dictionary in Ansible?
Q03SENIOR
Explain the `until`, `retries`, and `delay` parameters. Give a real-worl...
Q04SENIOR
What is the purpose of `loop_control`? Name three sub-options.
Q05SENIOR
How can you create a nested loop in Ansible? Provide an example.
Q06JUNIOR
What is a common pitfall when using `when` with a variable that might be...
Q07SENIOR
How do you debug a loop that is not iterating over the expected items?
Q08SENIOR
Can you use `include_tasks` inside a loop? What caution should you take?
Q01 of 08JUNIOR

What is the difference between `loop` and `with_items` in Ansible?

ANSWER
loop is the modern keyword introduced in Ansible 2.5. It accepts a list and does not automatically flatten nested lists. with_items is deprecated and automatically flattens lists. loop is preferred for consistency and future compatibility. To flatten with loop, use the | flatten filter.
FAQ · 8 QUESTIONS

Frequently Asked Questions

01
What is the difference between `when` and `failed_when`?
02
Can I use `loop` with `include_role`?
03
How do I break out of a loop in Ansible?
04
What is the maximum number of retries for `until`?
05
Is `with_items` completely removed in Ansible 9?
06
How do I loop over a list of IP addresses and assign them to interfaces?
07
Can I use `when` with `loop` to conditionally skip items?
08
What is the `loop_var` parameter in `loop_control`?
N
Naren Founder & Principal Engineer

20+ years shipping production infrastructure and CI/CD at scale. Lessons pulled from things that broke in production.

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July 16, 2026
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