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ELK Elasticsearch Logstash and Kibana Stack for Log Management

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ELK Elasticsearch Logstash and Kibana Stack for Log Management

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Initiation to the powerful Elasticsearch Logstash and Kibana stack, it has many use cases, the popular one is the server and application log management.

Initiation to the powerful Elasticsearch Logstash and Kibana stack, it has many use cases, the popular one is the server and application log management.

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ELK Elasticsearch Logstash and Kibana Stack for Log Management

  1. 1. ELK STACK Master the data BY EL MAHDI BENZEKRI
  2. 2. PLAN  Ourproblem  Old solutions limits  Other solutions  ELK Stack overview  Logstash/Elasticsearch/Kibana  Demo
  3. 3. Who are we?
  4. 4. Our problem Lot of users Lots of data Lots of systems Integrated collection of logs
  5. 5. Old solutions limits • Tail & grep impossible with multiple systems • DBs dont scale and its difficult to extract statistics • Syslog : • Only log history • Not flexible : syslog client to syslog server
  6. 6. Other solutions - Biggest tool - 537 apps - High cost and complexity - Up to ~10000$ SPLUNK - Easy setup - Establish baseline and notify - Sensitive data - Data transmition overhead - Complex pricing strategy SUMO LOGIC (SAAS)
  7. 7. ELK Stack - Open source - Easy install - Mature components - Complexity of three different products - Diffrent machines in production
  8. 8. Logstash Over 200 plugins and all pluggable and mixable Unify and democratize data from different sources and into different destinations Data collection engine
  9. 9. Logstash loves data
  10. 10. Logstash popular plugins - Date - mutate - Grok - Multiline FILTER - File - Stdin - syslog INPUT - Elasticsearch - File - Mongodb - Email - stdout OUTPUT
  11. 11. Elasticsearch • Build on top of Apache Lucene(java) • Developer-Friendly, RESTful API • High Availability • Massively Distributed • Real-Time data and Advanced Analytics(1s from indexing to searching)
  12. 12. Elasticsearch architecture
  13. 13. Elasticsearch REST API
  14. 14. Kibana Real time dashboards Designed to interact with elasticsearch data Full JS and HTML5 analytics and visualization platform
  15. 15. Search query syntax • status:active • title:(quick OR brown) • title:(quick brown) • author:"John Smith« • book.*:(quick brown) • _missing_:title • _exists_:title • qu?ck bro* • name:/joh?n(ath[oa]n)/ • Fuzziness : • quikc~ brwn~ foks~ • quikc~1 • Proximity seach: • "fox quick"~5 • Ranges • date:[2012-01-01 TO 2012- 12-31] • count:{10 TO *] = count:>10 • Boosting • quick^2 fox • Boolean operators • quick brown +fox –news • Avoid • ((quick AND fox) OR (brown AND fox) OR fox) AND NOT news • *ing
  16. 16. Demo architecture TOMCAT Logs Accounts.json REST API File input plugin
  17. 17. 01110100 01101000 01100001 01101110 01101011 00100000 01111001 01101111 01110101 :D

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