Elasticsearch

A presentation at BBL AXA (Private Event) in February 2020 in Wasquehal, France by David Pilato

Slide 1

Slide 1

Elastic Stack Overview Search. Observe. Protect. The world’s most popular enterprise products for real-time search, logging, analytics, and more

Slide 2

Slide 2

Who? $ curl http://localhost:9200/speaker/_doc/dpilato { “nom” : “David Pilato”, “jobs” : [ { “boite” : “SRA Europe (SSII)”, “mission” : “bon à tout faire”, “date” : “1995” }, { “boite” : “SFR”, “mission” : “touche à tout”, “date” : “1997” }, { “boite” : “e-Brands / Vivendi”, “mission” : “chef de projets”, “date”: “2000” }, { “boite” : “DGDDI (douane)”, “mission” : “mouton à 5 pattes”, “date” : “2005” }, { “boite” : “IDEO Technologies”, “mission” : “CTO”, “date” : “2012” }, { “boite” : “elastic”, “mission” : “développeur”, “date” : “2013” } ], “passions” : [ “famille”, “job”, “deejay” ], “blog” : “http://david.pilato.fr/”, “twitter” : [ “@dadoonet”, “@elasticfr” ], “email” : “david@pilato.fr” } 2

Slide 3

Slide 3

Employees in 40+ countries Public company on NYSE

Slide 4

Slide 4

The Elastic Stack Reliably and securely take data from any source, in any format, then search, analyze, and visualize it in real time.

Slide 5

Slide 5

Deploy anywhere. Elastic Cloud SaaS Elastic Cloud Enterprise Elastic Cloud on Kubernetes Orchestration

Slide 6

Slide 6

FILEBEAT MASTER (3) METRICBEA T PACKETBEAT WINGLOBEAT AUDITBEAT HEARTBEAT CUSTOM UI INGEST (X) Coordinating (X) DATA - HOT (X) FUNCTION BEAT KAFKA ELASTICSEARCH CLIENTS DATA - WARM (X) REDIS DATA STORE SOCIAL 6 WEB APIS SENSORS MESSAGING QUEUE WORKERS (2+) ALERTING (X) MACHINE LEARNING (2+) INSTANCES (X)

Slide 7

Slide 7

7 https://www.elastic.co/fr/subscriptions

Slide 8

Slide 8

Services at a Glance Elastic Training Certification • Immersive learning experience • Performance-based exam • Solution-based curriculum • Solve real-world tasks, in realtime • Flexible ways-to-train • Remote, secure testing People Strategy 8 Elastic Consulting • Expert services focused on your business goals • Phased-based packages • Product expertise Project Strategy

Slide 9

Slide 9

En Elastic Training Paris / France fra nç ais Course offerings Elasticsearch Engineer I: Apr 20-21 IMMERSIVE LEARNING SOLUTION-BASED Elasticsearch Engineer II: Apr 22-23 ENVIRONMENT CURRICULUM Lab-based exercises to help master Real-world examples and common new skills use cases EXPERIENCED PERFORMANCE-BASED INSTRUCTORS CERTIFICATION Expertly trained and deeply rooted in Apply skills to real-world use cases, in everything Elastic real-time Who should attend? Software Developers, Engineers, Data Architects, System Administrators, DevOps What will I learn? ● How to manage deployments and develop solutions. ● Advanced cluster management techniques, best practices for capacity planning and scaling, and more. 50% discount on the 2nd seat - discount until Feb 24th

Slide 10

Slide 10

A typical search implementation… CREATE TABLE user ( name VARCHAR(100), comments VARCHAR(1000) ); INSERT INTO user VALUES (‘David Pilato’, ‘Developer at elastic’); INSERT INTO user VALUES (‘Malloum Laya’, ‘Worked with David at french customs service’); INSERT INTO user VALUES (‘David Gageot’, ‘Engineer at Google’); INSERT INTO user VALUES (‘David David’, ‘Who is that guy?’); David 11

Slide 11

Slide 11

Search on term INSERT INSERT french INSERT INSERT INTO user VALUES (‘David Pilato’, ‘Developer at elastic’); INTO user VALUES (‘Malloum Laya’, ‘Worked with David at customs service’); INTO user VALUES (‘David Gageot’, ‘Engineer at Google’); INTO user VALUES (‘David David’, ‘Who is that guy?’); SELECT * FROM user WHERE name=”David”; Empty set (0,00 sec) David 12

Slide 12

Slide 12

Search like INSERT INSERT french INSERT INSERT INTO user VALUES (‘David Pilato’, ‘Developer at elastic’); INTO user VALUES (‘Malloum Laya’, ‘Worked with David at customs service’); INTO user VALUES (‘David Gageot’, ‘Engineer at Google’); INTO user VALUES (‘David David’, ‘Who is that guy?’); SELECT * FROM user WHERE name LIKE “%David%”; +———————+———————————+ | name | comments | +———————+———————————+ | David Pilato | Developer at elastic | | David Gageot | Engineer at Google | | David David | Who is that guy? | +———————+———————————+ David 13

Slide 13

Slide 13

Search for terms INSERT INSERT french INSERT INSERT INTO user VALUES (‘David Pilato’, ‘Developer at elastic’); INTO user VALUES (‘Malloum Laya’, ‘Worked with David at customs service’); INTO user VALUES (‘David Gageot’, ‘Engineer at Google’); INTO user VALUES (‘David David’, ‘Who is that guy?’); SELECT * FROM user WHERE name LIKE “%David Pilato%”; +———————+———————————+ | name | comments | +———————+———————————+ | David Pilato | Developer at elastic | +———————+———————————+ David Pilato 14

Slide 14

Slide 14

Search with inverted terms INSERT INSERT french INSERT INSERT INTO user VALUES (‘David Pilato’, ‘Developer at elastic’); INTO user VALUES (‘Malloum Laya’, ‘Worked with David at customs service’); INTO user VALUES (‘David Gageot’, ‘Engineer at Google’); INTO user VALUES (‘David David’, ‘Who is that guy?’); SELECT * FROM user WHERE name LIKE “%Pilato David%”; Empty set (0,00 sec) SELECT * FROM user WHERE name LIKE “%Pilato%David%”; Empty set (0,00 sec) Pilato David 15

Slide 15

Slide 15

Search for terms INSERT INSERT french INSERT INSERT INTO user VALUES (‘David Pilato’, ‘Developer at elastic’); INTO user VALUES (‘Malloum Laya’, ‘Worked with David at customs service’); INTO user VALUES (‘David Gageot’, ‘Engineer at Google’); INTO user VALUES (‘David David’, ‘Who is that guy?’); SELECT * FROM user WHERE name LIKE “%David%” AND name LIKE “%Pilato%”; +———————+———————————+ | name | comments | +———————+———————————+ | David Pilato | Developer at elastic | +———————+———————————+ Pilato David 16

Slide 16

Slide 16

Search in two fields INSERT INSERT french INSERT INSERT INTO user VALUES (‘David Pilato’, ‘Developer at elastic’); INTO user VALUES (‘Malloum Laya’, ‘Worked with David at customs service’); INTO user VALUES (‘David Gageot’, ‘Engineer at Google’); INTO user VALUES (‘David David’, ‘Who is that guy?’); SELECT * FROM user WHERE name LIKE “%David%” OR comments LIKE “%David%”; +———————+——————————————————————-+ | name | comments | +———————+——————————————————————-+ | David Pilato | Developer at elastic | | Malloum Laya | Worked with David at french customs service | | David Gageot | Engineer at Google | | David David | Who is that guy? | +———————+——————————————————————-+ David 17

Slide 17

Slide 17

Slide 18

Slide 18

Search with typos INSERT INSERT french INSERT INSERT INTO user VALUES (‘David Pilato’, ‘Developer at elastic’); INTO user VALUES (‘Malloum Laya’, ‘Worked with David at customs service’); INTO user VALUES (‘David Gageot’, ‘Engineer at Google’); INTO user VALUES (‘David David’, ‘Who is that guy?’); SELECT * FROM user WHERE name LIKE “%Dadid%”; Empty set (0,00 sec) Dadid 19

Slide 19

Slide 19

Search with typos INSERT INSERT french INSERT INSERT INTO user VALUES (‘David Pilato’, ‘Developer at elastic’); INTO user VALUES (‘Malloum Laya’, ‘Worked with David at customs service’); INTO user VALUES (‘David Gageot’, ‘Engineer at Google’); INTO user VALUES (‘David David’, ‘Who is that guy?’); SELECT * FROM user WHERE name LIKE “%adid%” OR name LIKE “%D_did%” OR name LIKE “%Da_id%” OR name LIKE “%Dad_d%” OR name LIKE “%Dadi%”; +———————+———————————+ | name | comments | +———————+———————————+ | David Pilato | Developer at elastic | | David Gageot | Engineer at Google | | David David | Who is that guy? | +———————+———————————+ 20

Slide 20

Slide 20

Slide 21

Slide 21

User Interface 22

Slide 22

Slide 22

Search engine? Moteur d’indexation de documents Moteur de recherche dans les index 23

Slide 23

Slide 23

Demo time! 24

Slide 24

Slide 24

Elastic Cloud on Kubernetes The official Operator (and more) for Elasticsearch and Kibana

Slide 25

Slide 25

Ne w Elasticsearch SIEM solution available for free in 7. 2

Slide 26

Slide 26

Slide 27

Slide 27

3 solutions Elastic Enterprise Search Elastic Observability Elastic Security

Slide 28

Slide 28

Elastic Enterprise Search Workplace Search App Search Site Search

Slide 29

Slide 29

ELASTIC ENTERPRISE SEARCH Search everything, anywhere Easily implement powerful, modern search experiences across your website, app, or digital workplace. Search it all, simply.

Slide 30

Slide 30

Elastic Observability Logs Metrics APM Uptime

Slide 31

Slide 31

ELASTIC OBSERVABILITY Unified visibility across your entire ecosystem Bring your logs, metrics, and traces together into a single stack so you can monitor, detect, and react to events with speed.

Slide 32

Slide 32

Elastic Security Endpoint SIEM

Slide 33

Slide 33

ELASTIC SECURITY Security how it should be: open Elastic Security integrates endpoint security and SIEM to give you prevention, collection, detection, and response capabilities for unified protection across your infrastructure.

Slide 34

Slide 34

Slide 35

Slide 35

Searching for Rides

Slide 36

Slide 36

Searching for Restaurants

Slide 37

Slide 37

38

Slide 38

Slide 38

Slide 39

Slide 39

Slide 40

Slide 40

#ElasticStories

Slide 41

Slide 41

En Elastic Training Paris / France fra nç ais Course offerings Elasticsearch Engineer I: Apr 20-21 IMMERSIVE LEARNING SOLUTION-BASED Elasticsearch Engineer II: Apr 22-23 ENVIRONMENT CURRICULUM Lab-based exercises to help master Real-world examples and common new skills use cases EXPERIENCED PERFORMANCE-BASED INSTRUCTORS CERTIFICATION Expertly trained and deeply rooted in Apply skills to real-world use cases, in everything Elastic real-time Who should attend? Software Developers, Engineers, Data Architects, System Administrators, DevOps What will I learn? ● How to manage deployments and develop solutions. ● Advanced cluster management techniques, best practices for capacity planning and scaling, and more. 50% discount on the 2nd seat - discount until Feb 24th

Slide 42

Slide 42

elasticfr @elasticfr discuss.elastic.co