Visualise Ansible execution time across playbooks, tasks, and hosts.

Overview

ansible-trace

Visualise where time is spent in your Ansible playbooks: what tasks, and what hosts, so you can find where to optimise and decrease playbook latency.

An Ansible Callback Function which traces the execution time of Ansible playooks, outputting Chrome's Trace Event Format for visualising in the Perfetto in-browser trace UI.

Here's a trace of me deploying to my home Raspberry Pi cluster, with the default strategy: linear. You can see that now all the tasks are synchronized across hosts, with each host waiting for the slowest host before proceeding to the next task:

Perfetto window showing tasks all happening synchronized

Here's the same playbook ran with strategy: free so fast hosts run to completion without waiting for slow hosts:

Perfetto window showing durations

You can click on tasks to see details about them:

Perfetto window showing details showing arguments and filename of task

Interactive Example

  1. Download (Right-click -> Save Link As) example-trace.json.
  2. Open https://ui.perfetto.dev/, and drag and drop in the downloaded example-trace.json.

Usage

  1. Copy trace.py into your Ansible's callback_plugins directory, or in other positions Ansible accepts, e.g.:

    ansible-root
    ├── ansible.cfg
    ├── site.yml
    └── callback_plugins
        └── trace.py
    
  2. Enable the trace callback plugin in your ansible.cfg:

    [defaults]
    callback_enabled = trace

    Or, enable it at the top of your playbook yml:

    ansible:
      env:
        CALLBACKS_ENABLED: trace
        TRACE_OUTPUT_DIR: .
        TRACE_HIDE_TASK_ARGUMENTS: True
  3. Run your Ansible Playbook:

    $ ansible-playbook site.yml

    This will output trace.json in the TRACE_OUTPUT_DIR, defaulting to your current working directory.

  4. Open https://ui.perfetto.dev/, and drag-and-drop in the trace.json.

    You don't have to wait for the trace to finish; you can open in-progress trace files.

Other Trace Viewers

Perfetto is the most mature trace viewer, but here are some other options:

  • chrome://tracing (aka Catapult Trace Viewer) is the older version of Perfetto. Supports generating a standalone HTML page.
  • Speedscope can open the traces, but only shows one host at a time.
  • Firefox Profiler can open the traces, showing trace spans in the "Marker Chart" tab: example.

Other Ansible Profiling Tools

profile_tasks

ansible.posix.profile_tasks displays task timing as console output, but can't visualise gaps in the timing (e.g. with strategy: linear when fast hosts wait for slow hosts).

ansible-playbook -vvvv

Adding extra vs adds more debug info, -vvvv enables connection debugging.

Mitogen for Ansible

Mitogen promises to speed up your Ansible playbooks with a persistent interpreter. They profile their runs for bandwidth an time by analysing network packet captures.

You need to install from HEAD to support latest Ansible versions, because there hasn't been a tagged release since 2019.

Owner
Mark Hansen
Mark Hansen
Declarative statistical visualization library for Python

Altair http://altair-viz.github.io Altair is a declarative statistical visualization library for Python. With Altair, you can spend more time understa

Altair 8k Jan 05, 2023
Investment and risk technologies maintained by Fortitudo Technologies.

Fortitudo Technologies Open Source This package allows you to freely explore open-source implementations of some of our fundamental technologies under

Fortitudo Technologies 11 Dec 14, 2022
Simple plotting for Python. Python wrapper for D3xter - render charts in the browser with simple Python syntax.

PyDexter Simple plotting for Python. Python wrapper for D3xter - render charts in the browser with simple Python syntax. Setup $ pip install PyDexter

D3xter 31 Mar 06, 2021
Painlessly create beautiful matplotlib plots.

Announcement Thank you to everyone who has used prettyplotlib and made it what it is today! Unfortunately, I no longer have the bandwidth to maintain

Olga Botvinnik 1.6k Jan 06, 2023
Exploratory analysis and data visualization of aircraft accidents and incidents in Brazil.

Exploring aircraft accidents in Brazil Occurrencies with aircraft in Brazil are investigated by the Center for Investigation and Prevention of Aircraf

Augusto Herrmann 5 Dec 14, 2021
An automatic prover for tautologies in Metamath

completeness An automatic prover for tautologies in Metamath This program implements the constructive proof of the Completeness Theorem for propositio

Scott Fenton 2 Dec 15, 2021
Draw datasets from within Jupyter.

drawdata This small python app allows you to draw a dataset in a jupyter notebook. This should be very useful when teaching machine learning algorithm

vincent d warmerdam 505 Nov 27, 2022
Create charts with Python in a very similar way to creating charts using Chart.js

Create charts with Python in a very similar way to creating charts using Chart.js. The charts created are fully configurable, interactive and modular and are displayed directly in the output of the t

Nicolas H 68 Dec 08, 2022
Data Analysis: Data Visualization of Airlines

Data Analysis: Data Visualization of Airlines Anderson Cruz | London-UK | Linkedin | Nowa Capital Project: Traffic Airlines Airline Reporting Carrier

Anderson Cruz 1 Feb 10, 2022
Minimalistic tool to visualize how the routes to a given target domain change over time, feat. Python 3.10 & mermaid.js

Minimalistic tool to visualize how the routes to a given target domain change over time, feat. Python 3.10 & mermaid.js

Péter Ferenc Gyarmati 1 Jan 17, 2022
Generate SVG (dark/light) images visualizing (private/public) GitHub repo statistics for profile/website.

Generate daily updated visualizations of GitHub user and repository statistics from the GitHub API using GitHub Actions for any combination of private and public repositories, whether owned or contri

Adam Ross 2 Dec 16, 2022
GitHubPoster - Make everything a GitHub svg poster

GitHubPoster Make everything a GitHub svg poster 支持 Strava 开心词场 扇贝 Nintendo Switch GPX 多邻国 Issue

yihong 1.3k Jan 02, 2023
`charts.css.py` brings `charts.css` to Python. Online documentation and samples is available at the link below.

charts.css.py charts.css.py provides a python API to convert your 2-dimension data lists into html snippet, which will be rendered into charts by CSS,

Ray Luo 3 Sep 23, 2021
Parse Robinhood 1099 Tax Document from PDF into CSV

Robinhood 1099 Parser This project converts Robinhood Securities 1099 tax document from PDF to CSV file. This tool will be helpful for those who need

Keun Tae (Kevin) Park 52 Jun 10, 2022
Political elections, appointment, analysis and visualization in Python

Political elections, appointment, analysis and visualization in Python poli-sci-kit is a Python package for political science appointment and election

Andrew Tavis McAllister 9 Dec 01, 2022
Implement the Perspective open source code in preparation for data visualization

Task Overview | Installation Instructions | Link to Module 2 Introduction Experience Technology at JP Morgan Chase Try out what real work is like in t

Abdulazeez Jimoh 1 Jan 23, 2022
Peloton Stats to Google Sheets with Data Visualization through Seaborn and Plotly

Peloton Stats to Google Sheets with Data Visualization through Seaborn and Plotly Problem: 2 peloton users were looking for a way to track their metri

9 Jul 22, 2022
A python-generated website for visualizing the novel coronavirus (COVID-19) data for Greece.

COVID-19-Greece A python-generated website for visualizing the novel coronavirus (COVID-19) data for Greece. Data sources Data provided by Johns Hopki

Isabelle Viktoria Maciohsek 23 Jan 03, 2023
View part of your screen in grayscale or simulated color vision deficiency.

monolens View part of your screen in grayscale or filtered to simulate color vision deficiency. Watch the demo on YouTube. Install with pip install mo

Hans Dembinski 31 Oct 11, 2022
Learning Convolutional Neural Networks with Interactive Visualization.

CNN Explainer An interactive visualization system designed to help non-experts learn about Convolutional Neural Networks (CNNs) For more information,

Polo Club of Data Science 6.3k Jan 01, 2023