llama

LLAMA - Loss & LAtency MAtrix

These details have not been verified by PyPI

Project links

Homepage

Development Status
- 1 - Planning
Intended Audience
- System Administrators
License
- OSI Approved :: Apache Software License
Operating System
- POSIX :: Linux
Programming Language
- Python :: 2.7
Topic
- System :: Networking :: Monitoring

Project description

L.L.A.M.A. is a deployable service which artificially produces traffic for measuring network performance between endpoints.

LLAMA uses UDP socket level operations to support multiple QoS classes. UDP datagrams are fast, efficient, and will hash across ECMP paths in large networks to uncover faults and erring interfaces. LLAMA is written in pure Python for maintainability.

Okay, but not yet - Alpha Status

LLAMA will eventually have all those capabilities, but not yet. For instance, there it does not currently provide QOS functionality, but will send test traffic using hping3 or a built-in UDP library It’s currently being tested in Alpha at Dropbox through experimental correlation.

Documentation

LLAMA on ReadTheDocs
Changelog
See Issues for TODOs and Bugs

Visualization

Using InfluxDB and interested in visualizing LLAMA data in a matrix-like UI?

Check out https://github.com/dropbox/grallama-panel

Acknowledgements / References

Inspired by: https://www.youtube.com/watch?v=N0lZrJVdI9A * with slides: https://www.nanog.org/sites/default/files/Lapukhov_Move_Fast_Unbreak.pdf
Concepts borrowed from: https://github.com/facebook/UdpPinger/

Project details

These details have not been verified by PyPI

Project links

Homepage

Development Status
- 1 - Planning
Intended Audience
- System Administrators
License
- OSI Approved :: Apache Software License
Operating System
- POSIX :: Linux
Programming Language
- Python :: 2.7
Topic
- System :: Networking :: Monitoring

Release history Release notifications | RSS feed

0.1.1

Jul 14, 2017

0.0.1a10 pre-release

Jun 7, 2017

This version

0.0.1a9 pre-release

Jun 6, 2017

0.0.1a8 pre-release

Feb 6, 2017

0.0.1a7 pre-release

Dec 6, 2016

0.0.1a6 pre-release

Dec 1, 2016

0.0.1a5 pre-release

Nov 23, 2016

0.0.1a4 pre-release

Nov 15, 2016

0.0.1a3 pre-release

Jul 25, 2016

0.0.1a2 pre-release

Jul 25, 2016

0.0.1a1 pre-release

Jul 2, 2016

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