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Merge pull request #41 from guilhemmarchand/readme_update_24112019
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readme update
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guilhemmarchand committed Nov 24, 2019
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24 changes: 18 additions & 6 deletions README.md
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| master | [![master status](https://circleci.com/gh/guilhemmarchand/trackme/tree/master.svg?style=svg)](https://circleci.com/gh/guilhemmarchand/trackme/tree/master)

## The Splunk TrackMe application for data source monitoring provides a handy user interface and workflow for Splunk administrators to monitor the availability of their data sources:
## The Splunk TrackMe application provides automated monitoring and visibility insight of your data sources availability, with a powerful user interface and workflow for Splunk product owners to detect and alert on failures or abnormal latency:

- Discover and store data sources and hosts information and states
- Provides a handy and easy user interface to manage states, configuration and quickly trouble shoot alerts
- Analyse and detect lack of data and performance lagging of data sources and hosts
- Easy administration via graphical human interface
- Discover and store key states information of data sources, data hosts and metric hosts availability
- Provides a powerful user interface to manage activation states, configuration and quickly trouble availability failure detection
- Analyse and detect lack of data and performance lagging of data sources and hosts within your Splunk deployment
- Record and investigate historical changes of statuses, as well as administrators changes (audit flipping and changes)
- Easy administration via graphical human interface from A to Z
- No matters the purpose of your Splunk deployment, trackMe will easily become an essential and easy piece of your deployment, and even providing efficient answers to PCI and compliance requirements
- Never let again your team be the last to discover what empty and no results found mean!

![screenshot](./docs/img/screenshot.png)

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Splunk administrators and engineers have to spend a good amount of time and energy to on-board new data sources, another data source after another data source.

However, it is very frequent to realise after math that something when wrong, for some reason the sender stopped sending, an issue appeared, a network rule was lost...
However, it is very frequent to realise after math that something went wrong, for some reason the sender stopped sending, an upgrade broke a configuration, a network rule was lost

No administrator should be informed of an issue in the data flow by the customer or end users, this is why you need pro-activity and cost less availability monitoring.

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Made by Splunk admins for Splunk admins, the TrackMe application provides builtin powerful features to monitor and administer you data source monitoring the easy way!

## Use case for TrackMe?

No matters the purpose of your Splunk deployment, trackMe will easily become an essential and positive piece of your Splunk journey:

- Security Operation Centers (SOC) with or without Enterprise Security compliance: detect lack of data, abnormal latency potentially impacting your security posture
- PCI and compliance: deliver, alert and action
- Monitoring and insight visibility about your indexes, sourcetypes, events and metrics
- General data activity monitoring and detection of Zombie data

**Please consult the online documentation:** https://trackme.readthedocs.io
2 changes: 1 addition & 1 deletion docs/index.rst
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Splunk administrators and engineers have to spend a good amount of time and energy to on-board new data sources, another data source after another data source.

However, it is very frequent to realise after math that something when wrong, for some reason the sender stopped sending, an issue appeared, a network rule was lost...
However, it is very frequent to realise after math that something went wrong, for some reason the sender stopped sending, an upgrade broke a configuration, a network rule was lost

No administrator should be informed of an issue in the data flow by the customer or end users, this is why you need pro-activity and cost less availability monitoring.

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