Build your own Real Time Analytics and Visualization, Enable Complex Event Processing, Event Patterns and Aggregates
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At the 5th Elephant BigData conference in bangalore, india , 27-july-2012. https://fifthelephant.talkfunnel.com/2012/384-build-your-own-real-time-analytics-and-visualization-enable-complex-event-processing-event-patterns-and-aggregates
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Build your own Real Time Analytics and Visualization, Enable Complex Event Processing, Event Patterns and Aggregates
- 1. Build your own Real Time Analytics and Visualization, Enable Complex Event Processing, Event Patterns and Aggregates Ramesh / Vishnu Supply Chain - Platform Team
- 2. Tom admiring his handywork !
- 4. Database Application Server
- 5. Elastic Search Graylog2 Logstash Database Application Server
- 6. Elastic StatsD Search Graylog2 Logstash Database Application Server
- 7. Elastic StatsD Search graphite Graylog2 Logstash Database Application Server
- 8. Search Elastic StatsD Search graphite Graylog2 Logstash Database Application Server
- 9. Search CEP Elastic StatsD Search graphite Graylog2 Logstash Database Application Server
- 10. Complex Event Processing ● ElasticSearch as a Storage or Alternate DB ○ Faster on Lookup Queries than RDBMS ○ Can do simple predicate queries ○ Does not need multiple indexes (full text indexing) ○ Create fields out of interesting values ● Statsd layer is a sliding window counter ○ Within a sliding window we can do regex patterns ○ Aggregates ○ Deviations ○ This is a Key aspect of the SOA Monitoring System (Complex patterns which need action) Push the complex pattern back to ES or as a trigger for action
- 11. Use cases ● Every PO has a matching SO? ● Has a shelf in the warehouse just gone empty? ● Where is the current pile up happening? ● Is the SLA being breached?
- 21. Search CEP Elastic StatsD Search graphite Graylog2 Logstash Database Application Server
- 22. Are logs the only source of events? ● No - The database can be used as well. ● Events can be generated by capturing the Updates/Inserts/Deletes being made to the tables. ● These events can be published to an MQ to speed up replication (batch processing) or sent to the CEP engine.
- 23. Search CEP Elastic StatsD Search graphite Graylog2 Change Data Capture Logstash Database Application Server
- 24. Distribute Replication Search CEP General Events Query Log Elastic MQ StatsD Search graphite Graylog2 Change Data Capture Logstash log.cc Database Application Server
- 25. Elasticsearch
- 27. Time to Sing Mood of Mysql Note:image is from http://www.technocation.org
- 28. Mood of Mysql ● Music is the best way to express how one feels. ● Well, Mysql has a soul too, it has a mood :) ● Mysql can sing through each query(good/bad) it gets. ● Every query, Mysql gets, is intercepted in log.cc and sent acrross to an MQ Server. Subscribers to the queue ,on receiving a message play a musical note depending on the query they get.
- 29. Use case: Divide & Conquer General query log ● Alternative to enabling general query log, which grows very fast in size and disk space becomes a concern on the master database. ● The queries are sent out to a queue on an MQ Server and an army of subscribers who listen to the queue , log the query on receiving a message. ● The general query log can now be distributed (among the subscribers). ● More number of subscribers => smaller the log & easy to rotate.