Elastic{ON} Tour Seattle - Ingest

Elastic{ON} Tour Seattle - October 5, 2017

Learn how our ingest technologies, such as Elasticsearch, Beats, Logstash, and ES-Hadoop, help get you to a deployment of the Elastic Stack.

Alvin Chen |Product Management | Elastic

Transcript

1. Alvin Chen, Product Management Seattle | Oct 5, 2017 Ingest
2. 2 Data Ingestion The process of collecting and importing data for immediate use
3. Simple things should be simple. 3 ? Shay Banon Elastic{ON}’17
4. 4 Ingest Technologies Lightweight Data Shippers Beats Centralized Data Collection Engine Logstash Hadoop Ecosystem Connector ES-Hadoop APIs Ingest Node Elaticsearch
5. 5 Elastic Ingestion Technologies API Elasticsearch Transform Store ingest node data node
6. 6 Elastic Ingestion Technologies CUSTOM CONNECTORS Elasticsearch Transform Store ingest node data node es-hadoop
7. 7 Elastic Ingestion Technologies DISTRIBUTED COLLECTION Elasticsearch Beats servers, containers Transform Store ingest node data node Metrics Logs
8. 8 Elastic Ingestion Technologies network devices DB data CENTRALIZED COLLECTION Logstash DISTRIBUTED COLLECTION Beats servers, containers Elasticsearch Transform Store ingest node data node Flows JDBC
9. 9 Ingestion Architecture Scalable and robust centralized ETL • Persistent queues • Dead letter queues
10. 10 Ingestion Architecture Scalable and robust centralized ETL • Java event rewrite • Multiple pipelines
11. 11 Ingestion Architecture Scalable and robust centralized ETL • Java event rewrite • Multiple pipelines Logstash 5.x
12. 12 Ingestion Architecture Scalable and robust centralized ETL • Java event rewrite • Multiple pipelines Logstash 6.0
13. 13 Elastic Ingestion Technologies network devices DB data CENTRALIZED COLLECTION Logstash DISTRIBUTED COLLECTION Beats servers, containers Elasticsearch Transform Store ingest node data node Flows JDBC
14. 14 Elastic Ingestion Technologies network devices DB data CENTRALIZED COLLECTION Logstash DISTRIBUTED COLLECTION Beats servers, containers Elasticsearch Transform Store ingest node data node Flows JDBC
15. 15 Easy migration between ingest technologies Ingest Node to Logstash conversion tool Elasticsearch ingest node Logstash ingest node
16. Data Sources
17. 17 Use Cases & Data Sources Common Log Formats System Web Servers Queues Turnkey Monitoring Infrastructure Containers Databases SecOps Dashboards Audit Firewalls, IDS/IPS SIEM Augmentation Logging Metrics Security
18. 18 Modules: The Data to Dashboard Experience • Collect specific type of data • Parse and enrich it • Default dashboards, alerts, ML jobs ./filebeat -e -modules=system -setup
19. 19 Packetbeat (It all started with Beats 1.0)
20. 20 Metricbeat Modules (Introduced in 5.0) Aerospike Apache Ceph Couchbase Docker Dropwizard Elasticsearch Golang Graphite HAProxy HTTP Jolokia Kafka Kibana Kubernetes Memcached MongoDB MySQL Nginx PHP_FPM PostgreSQL Prometheus RabbitMQ Redis System vSphere Windows ZooKeeper
21. 21 Filebeat Modules (Introduced in 5.3) Apache2 Auditd Icinga Kafka MySQL Nginx PostgreSQL Redis System
22. 22 Logstash Modules (Introduced in 5.6) ArcSight Netflow
23. 23 Modules Demo NGINX Netflow ArcSight
24. 24 Logging Data Sources System • Linux / MacOS • Windows Events Containers • Docker (6.0) • Kubernetes (6.0) Infrastructure Applications Databases • MySQL • PostgreSQL (6.1) Queues • Kafka (6.1) • Redis (6.0) Web servers • Apache • Nginx Other • HAProxy* • Zookeeper* WINLOGBEAT FILEBEAT * Near-term roadmap
25. 25 Metrics & Event Data System • Linux • MacOS • Windows • Perfmon (6.0) • WMI* Infrastructure Cloud • AWS • GCP • Azure* • DigitalOcean …. Containers • Docker • Kubernetes (6.0) Virtualization • vSphere (6.0) PACKETBEAT METRICBEAT Network • Netflow (5.6) • Packets Storage • Ceph LOGSTASH * Near-term roadmap
26. 26 Metrics & Event Data Applications Datastores • MySQL • PostgreSQL • MongoDB • Couchbase • Aerospike (6.0) • Graphite (6.1) Web servers • Apache • Nginx Other • HAProxy • Zookeeper • Prometheus Queues • Kafka • Redis • RabbitMQ (6.0) Caches • Memcached (6.0) METRICBEAT Uptime • Heartbeat Custom apps • JMX/Jolokia • PHP-FPM • Golang (6.0) • Dropwizard (6.0) HEARTBEAT * Near-term roadmap LOGSTASH
27. 27 Security Data Sources Security Activity SIEM Augmentation • ArcSight (5.6) • more* Audit • Auditd • Auditbeat (6.0) Systems • Access • SSH Applications • Connections • Users Network • IPs / GeoIP • DNS Packets • Netflow (5.6) • Firewalls* • IDS/IPS* FILEBEAT PACKETBEAT METRICBEAT LOGSTASH * Near-term roadmap
28. 28 Business Analytics Structured Activity Databases • JDBC input • JDBC filter SaaS services • Salesforce • Heroku • Github • Azure* LOGSTASH * Near-term roadmap Social media • Twitter
29. 29 http://go.es.io/2gEBoLN Data Sources Survey
30. Administration
31. 31 Monitoring & Management Logstash • Centralized monitoring (5.3) • Centralized management (6.0)
32. 32 Demo Monitoring & Management
33. 33 Monitoring & Management Logstash • Centralized monitoring (5.3) • Centralized management (6.0) Beats (Roadmap) • Centralized monitoring • Centralized management
34. 34 Calls to Action • Familiarize yourself with latest integrations (including in X-Pack) • Watch UI roadmap for additional add-data workflows • Take the Data Sources Survey: http://go.es.io/2gEBoLN • Come talk to us at the AMA booth
35. Thank You Find me at AMA booth or email alvin@elastic.co
36. Appendix
37. 37 Tools: Grok Debugger
38. 38 DEMO
39. 39 Demo: Filebeat Nginx Backup - Won’t be shown
40. 40 Demo: Nginx Module ML job (5.6) Backup - Won’t be shown
41. 41 Demo: Nginx Module ML job (5.6) Backup - Won’t be shown
42. 42 Demo: Filebeat Docker (6.0) Backup - Won’t be shown
43. 43 Demo: Logstash Arcsight Module (5.6) Backup - Won’t be shown
44. 44 DEMO
45. 45 Demo: Central Management Backup - Won’t be shown
46. 46 Demo: Central Management Backup - Won’t be shown
47. 47 Demo: Monitoring Backup - Won’t be shown
48. 48 Demo: Monitoring Backup - Won’t be shown
49. Elastic Ingestion Technologies CUSTOM CONNECTORS CENTRALIZED COLLECTION Logstash API Clients CUSTOM CONNECTORS Elasticsearch Transform Store ingest node data node es-hadoop 49 network devices DBs DISTRIBUTED COLLECTION Beats servers, containers