hotsos 1.1.14.post28

Software analysis toolkit. Define checks in high-level language and leverage library to perform analysis of common Cloud applications.

Overview

Hotsos is a framework for software-defined analysis. It provides a library of plugins written in Python along with a high-level language in which to implement checks and analysis and report problems. Supported plugins include:

• Openstack
• Kubernetes
• Ceph
• Open vSwitch
• Juju
• MAAS
• Vault
• MySQL
• RabbitMQ
• and more

Each plugin has associated checks or "scenarios" that seek to identify issues and known bugs. The output is a summary from each plugin including key runtime information as well issues or bugs detected along with suggestions on how to deal with them. This information can be useful as an aid for further manual analysis.

The default summary format is yaml and a number of other options and formats are provided.

Hotsos is run directly on a host or against a sosreport.

The code has the following structure:

• core python library (includes plugins)
• checks/scenarios (see documentation at defs)
• python plugin extensions
• tests

Usage

Say for example that you are running an Openstack Cloud and one of your hypervisor nodes that is also running part of a Ceph storage cluster is experiencing a problem with network connectivity to workloads. Simply run hotsos on the node or against a sosreport generated from that node e.g.

ubuntu@ncpu1$ hotsos -s
INFO: analysing localhost /
INFO: output saved to hotsos-output-1673868979

Now you will find a folder called hotsos-output-1673868979 containing a summary of information in a number of different formats. Taking the most common yaml format we can see:

ubuntu@ncpu1$ cat hotsos-output-1673868979/ncpu1.summary.yaml

This file will contain a per-plugin summary of information found along with any issues or bugs detected. By default hotsos will only look at the last 24 hours of logs. You can increase this with --all-logs which will by default give you 7 days worth and if you want more you can use --max-logrotate-depth <days>.

Our folder also contains other formats of the same information and one of those is json which can easily be queried using a tool called jq. Using this useful tool we can easily query for specific information e.g.

ubuntu@ncpu1$ jq -r '.storage."potential-issues"' hotsos-output-1673868979/ncpu1.summary.json
{
  "BcacheWarnings": [
    "One or more of the following bcache bdev config assertions failed: sequential_cutoff eq \"0.0k\"/actual=\"4.0M\", cache_mode eq \"writethrough [writeback] writearound none\"/actual=\"writethrough [writeback] writearound none\", writeback_percent ge 10/actual=\"10\" (origin=storage.auto_scenario_check)",
    "One or more of the following bcache cacheset config assertions failed: congested_read_threshold_us eq 0/actual=\"2000\", congested_write_threshold_us eq 0/actual=\"20000\" (origin=storage.auto_scenario_check)"
  ]
}

Examples

An example full (yaml) summary can be found here

An example short (yaml) summary can be found here

Install

HotSOS can be installed in the following ways:

debian package daily build

NOTE: this is the recommended method.

$ sudo add-apt-repository ppa:ubuntu-support-team/hotsos
$ sudo apt install hotsos

pypi

NOTE: requires Python >= 3.8

$ sudo apt install pipx
$ pipx install hotsos

NOTE: use pipx instead of pip as it is considered more secure and installs in a venv

snap

You can install as a snap e.g.

$ sudo apt install snapd
$ sudo snap install hotsos --classic

See https://snapcraft.io/hotsos for more info on usage.

NOTE: the snap only currently works properly on Ubuntu Focal.

source

$ git clone https://github.com/canonical/hotsos
$ pip install -r hotsos/requirements.txt
$ ./hotsos/scripts/hotsos