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
Open-source demos hosted on Dash Gallery

Dash Sample Apps This repository hosts the code for over 100 open-source Dash apps written in Python or R. They can serve as a starting point for your

Plotly 2.7k Jan 07, 2023
Data parsing and validation using Python type hints

pydantic Data validation and settings management using Python type hinting. Fast and extensible, pydantic plays nicely with your linters/IDE/brain. De

Samuel Colvin 12.1k Jan 06, 2023
Pebble is a stat's visualization tool, this will provide a skeleton to develop a monitoring tool.

Pebble is a stat's visualization tool, this will provide a skeleton to develop a monitoring tool.

Aravind Kumar G 2 Nov 17, 2021
With Holoviews, your data visualizes itself.

HoloViews Stop plotting your data - annotate your data and let it visualize itself. HoloViews is an open-source Python library designed to make data a

HoloViz 2.3k Jan 02, 2023
Simple python implementation with matplotlib to manually fit MIST isochrones to Gaia DR2 color-magnitude diagrams

Simple python implementation with matplotlib to manually fit MIST isochrones to Gaia DR2 color-magnitude diagrams

Karl Jaehnig 7 Oct 22, 2022
China and India Population and GDP Visualization

China and India Population and GDP Visualization Historical Population Comparison between India and China This graph shows the population data of Indi

Nicolas De Mello 10 Oct 27, 2021
Python scripts to manage Chia plots and drive space, providing full reports. Also monitors the number of chia coins you have.

Chia Plot, Drive Manager & Coin Monitor (V0.5 - April 20th, 2021) Multi Server Chia Plot and Drive Management Solution Be sure to ⭐ my repo so you can

338 Nov 25, 2022
Type-safe YAML parser and validator.

StrictYAML StrictYAML is a type-safe YAML parser that parses and validates a restricted subset of the YAML specification. Priorities: Beautiful API Re

Colm O'Connor 1.2k Jan 04, 2023
A declarative (epi)genomics visualization library for Python

gos is a declarative (epi)genomics visualization library for Python. It is built on top of the Gosling JSON specification, providing a simplified interface for authoring interactive genomic visualiza

Gosling 107 Dec 14, 2022
A data visualization curriculum of interactive notebooks.

A data visualization curriculum of interactive notebooks, using Vega-Lite and Altair. This repository contains a series of Python-based Jupyter notebooks.

UW Interactive Data Lab 1.2k Dec 30, 2022
A simple interpreted language for creating basic mathematical graphs.

graphr Introduction graphr is a small language written to create basic mathematical graphs. It is an interpreted language written in python and essent

2 Dec 26, 2021
Insert SVGs into matplotlib

Insert SVGs into matplotlib

Andrew White 35 Dec 29, 2022
A grammar of graphics for Python

plotnine Latest Release License DOI Build Status Coverage Documentation plotnine is an implementation of a grammar of graphics in Python, it is based

Hassan Kibirige 3.3k Jan 01, 2023
Create a table with row explanations, column headers, using matplotlib

Create a table with row explanations, column headers, using matplotlib. Intended usage was a small table containing a custom heatmap.

4 Aug 14, 2022
Active Transport Analytics Model (ATAM) is a new strategic transport modelling and data visualization framework for Active Transport as well as emerging micro-mobility modes

{ATAM} Active Transport Analytics Model Active Transport Analytics Model (“ATAM”) is a new strategic transport modelling and data visualization framew

Peter Stephan 0 Jan 12, 2022
The Metabolomics Integrator (MINT) is a post-processing tool for liquid chromatography-mass spectrometry (LCMS) based metabolomics.

MINT (Metabolomics Integrator) The Metabolomics Integrator (MINT) is a post-processing tool for liquid chromatography-mass spectrometry (LCMS) based m

Sören Wacker 0 May 04, 2022
The visual framework is designed on the idea of module and implemented by mixin method

Visual Framework The visual framework is designed on the idea of module and implemented by mixin method. Its biggest feature is the mixins module whic

LEFTeyes 9 Sep 19, 2022
A toolkit to generate MR sequence diagrams

mrsd: a toolkit to generate MR sequence diagrams mrsd is a Python toolkit to generate MR sequence diagrams, as shown below for the basic FLASH sequenc

Julien Lamy 3 Dec 25, 2021
a robust room presence solution for home automation with nearly no false negatives

Argos Room Presence This project builds a room presence solution on top of Argos. Using just a cheap raspberry pi zero w (plus an attached pi camera,

Angad Singh 46 Sep 18, 2022
CompleX Group Interactions (XGI) provides an ecosystem for the analysis and representation of complex systems with group interactions.

XGI CompleX Group Interactions (XGI) is a Python package for the representation, manipulation, and study of the structure, dynamics, and functions of

Complex Group Interactions 67 Dec 28, 2022