This is a collection of examples to help you get familiar with the Elastic Stack. Each example folder includes a README with detailed instructions for getting up and running with the particular example. The following information pertains to the examples repo as a whole.
You have a few options to get started with the examples:
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If you want to try them all, you can download the entire repo . Or, if you are familiar with Git, you can clone the repo. Then, simply follow the instructions in the individual README of the examples you're interested in to get started.
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If you are only interested in a specific example or two, you can download the contents of just those examples - follow instructions in the individual READMEs OR you can use some of the options mentioned here.
See here
Below is the list of examples available in this repo:
Examples using the Elastic Stack for analyzing public dataset.
- DonorsChoose.org donations
- NCEDC earthquakes data
- NYC traffic accidents
- US FEC campaign contributions
- CDC health behavior survey
- NYC restaurant health grades
- NHL Match Data
Alerting lets you set up watches (or rules) to detect and alert on changes in your Elasticsearch data. Below is a list of examples watches that configured to detect and alert on a few common scenarios:
- High I/O wait on CPU
- Critical error in logs
- High filesystem usage
- Lateral movement in user communication
- Alerting on Machine Learning
- Monitoring Cluster Health
- Monitoring Free Disk Space
- New process started on hosts
- Port scan detected
- Interrupted log flow from hosts
- Trending hashtag on twitter
- Unexpected account activity
- Watch history dashboard
- Alert on Large Shards
