Skip to main content

hcprequestanalytics - analyze HCP HTTP request logs

Project description

HCP request log analytics

hcprequestanalytics reads HTTP access logs from log packages created by Hitachi Content Platform (HCP), loads the content into a SQL database and runs SQL-queries against it.

Features

It to provides information about topics like:

  • types of requests
  • types of requests to specific HCP nodes
  • types of reuests from specific clients
  • HTTP return codes
  • size distribution of requested objects
  • HCP internal latency distribution
  • clients

It can be easily extended with individual queries (see :doc:30_queries).

Results are generated as a multi-sheet XLSX workbook per default; optionally, CSV files can be requested.

Dependencies

You need to have at least Python 3.5.0 installed to run hcprequestanalytics.

Documentation

To be found at readthedocs.io <http://hcprequestanalytics.readthedocs.io>_

Installation

Install hcprequestanalytics by running::

$ pip install hcprequestanalytics

-or-

get the source from gitlab.com <https://gitlab.com/simont3/hcprequestanalytics>_, unzip and run::

$ python setup.py install

-or-

Fork at gitlab.com <https://gitlab.com/simont3/hcprequestanalytics>_

Contribute

  • Source Code: <https://gitlab.com/simont3/hcprequestanalytics>_
  • Issue tracker: <https://gitlab.com/simont3/hcprequestanalytics/issues>_

Support

If you've found any bugs, please let me know via the Issue Tracker; if you have comments or suggestions, send an email to <sw@snomis.eu>_

License

The MIT License (MIT)

Copyright (c) 2017-2019 Thorsten Simons (sw@snomis.eu)

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

hcprequestanalytics-1.5.3.tar.gz (18.2 kB view details)

Uploaded Source

File details

Details for the file hcprequestanalytics-1.5.3.tar.gz.

File metadata

  • Download URL: hcprequestanalytics-1.5.3.tar.gz
  • Upload date:
  • Size: 18.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.18.4 setuptools/39.2.0 requests-toolbelt/0.8.0 tqdm/4.23.4 CPython/3.6.5

File hashes

Hashes for hcprequestanalytics-1.5.3.tar.gz
Algorithm Hash digest
SHA256 43e733f893077b223df512494d4a382ae0a5f0d74f23e79a039387b56addfe6d
MD5 9237ba15822db0e1fe4c74708120f328
BLAKE2b-256 1d34027a234cffb3d8f9857c8f725c8cb72139005d922dcd77d27de188b488fe

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page