Berlin 2013 - Session - Brad Lhotsky

Transcript

1. ElasticSearch for Logging
   One Man's Sordid Journey of Discovery
   Brad Lhotsky
   http://twitter.com/reyjrar
   http://github.com/reyjrar
   

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2. ‣Agile Development (for Structure!)
   ‣Test everything (mostly in production)
   ‣Failure is encouraged
   ‣IT Budget for taking the site down
   ‣Amazing Business Monitoring
   ‣KPI's for IT tied to business metrics
   ‣ElasticSearch was successful for Front-End
   

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3. bouncing logs into ElasticSearch
   

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5. LogStash
   ‣Many Input / Filter / Output Plugins
   ‣Thriving Community
   ‣Daily Index Layout
   ‣Front-end? Not so much.
   

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6. Graylog2
   ‣Pluggable Event Stream
   ‣Excellent Front-end
   ‣Index Layout-based on number of documents
   

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7. ‣Dealing with "days"
   make sense
   ‣Maintenance Operations
   Easy: Delete, Optimize,
   Close, Open
   ‣Results in a higher
   number of shards
   ‣Which indexes do I
   search for 1 week of
   data?
   ‣Maintenance Operations
   Expensive
   ‣Potentially lower
   number of shards and
   even index sizes
   Daily Schema
   logstash-YYYY.MM.DD
   Capacity Schema
   Graylog2
   

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8. Shameful Self Plug
   https://github.com/reyjrar/es-utils
   Set of utilities for managing data in daily index schemas
   

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9. Roll Your Own!
   Perl ElasticSearch.pm
   Python pyes
   Ruby tire
   JavaScript Elastic.js
   http://www.elasticsearch.org/guide/clients/
   

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10. You want pretty pictures?
    

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13. ‣Composable dashboards
    ‣Create incident specific dashboards while
    investigating the incident
    ‣Leverage the speed of ElasticSearch
    ‣Melt your cluster!
    

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17. ElasticSearch is Magic
    

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18. ElasticSearch
    Black Magic
    

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19. index.auto_expand_replicas
    ‣Clustering order of operations issue
    ‣Can cause enormous data transfers between
    nodes leaving and entering a cluster
    ‣Defaults to true
    ‣You should set it to false
    

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20. Understanding
    Shard Allocation
    Tales from the script
    gone wrong.
    

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27. curl -XPUT localhost:9200/_cluster/settings -d '{
    "transient" : {
    "cluster.routing.disable_allocation" : true
    }
    }
    For planned maintenance
    disable reallocation!
    

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28. curl -XPUT localhost:9200/_cluster/settings -d '{
    "transient" : {
    "cluster.routing.disable_allocation" : false
    }
    }
    Re-enable when your node is back.
    

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29. ‣There are no query killers!
    ‣Memory is limited.
    ‣Aggressive caching by default consumes the
    heap.
    ‣This is normally good
    ‣Except when it's not
    ‣Thread pools are malleable by default, and
    maintaining buffers for them can also cost
    memory.
    A Perl programmer
    learns about Java
    memory management.
    

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30. Thanks to Jason for learning me the
    Graphites!
    http://goo.gl/XS0wzG
    

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31. index.cache.filter.max_size
    index.cache.filter.expire
    indices.fielddata.cache.size
    indices.fielddata.cache.expire
    Prevent Some Bad Queries
    

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32. threadpool:
    index:
    type: fixed
    size: 30
    queue_size: 1000
    reject_policy: caller
    Thread Pool Management
    (less relevant since 0.90.0)
    

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33. A Security guy asks
    about Access Control
    

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34. There are no solutions,
    aside from firewalls.
    ‣If you can search, you can search any data in
    the cluster.
    ‣If you can search, you can modify or delete
    data from that index.
    

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35. ElasticSearch is not a
    System of Record
    ‣Not legit for Legal Uses
    ‣That's O.K. we can handle that use case
    cheaply.
    

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36. ElasticSearch, Graphite of Logging?
    ‣Composable investigations with Kibana
    ‣Easy access to everything for everyone
    ‣Simple API (REST) and data format (JSON)
    ‣We can get pretty pictures from it!
    ‣Encourages interaction with data
    

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37. We're Hiring!
    Developers,
    System Administrators,
    Analysts,
    Designers!
    booking.com/jobs
    

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