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What’s New in v5
1
2
2010 2012 2013 2014 2015 2016
First version of Elasticsearch

released in February
3
2010 2012 2013 2014 2015 2016
Elasticsearch founded as a company
Total cumulative downloads 2M
2010
Kibana and Logstash open
source projects join Elasticsearch
Total cumulative downloads 5M
2012 2013 2014 2015 2016
4
2010
1.0 GA Elasticsearch
Release of Marvel (monitoring)
Total cumulative downloads 18M
2012 2013 2014 2015 2016
5
2010
1st Elastic{ON} user conference
Company name changed to “Elastic”
Found acquired (now Elastic Cloud)
Packetbeat team joins Elastic (now Beats)
Total cumulative downloads 45M
2012 2013 2014 2015 2016
6
2010
2nd Elastic{ON} user conference
ELK “Elastic Stack”
Prelert acquisition
Total cumulative downloads …
2012 2013 2014 2015 2016
7
75,000,000
DOWNLOADS
APIs Plugins Visualization
ELK Stack
Along Came Beats
ELKB
11
Elastic
Stack
Kibana
Elasticsearch
Beats Logstash
12
Kibana
Elasticsearch
Beats Logstash
Security
Alerting
Monitoring
Reporting
X-Pack
Graph
13
Kibana
Elasticsearch
Beats Logstash
X-Pack Elastic Cloud
Security
Alerting
Monitoring
Reporting
Graph
14
Jun 9, 2015
1.6
Jul 16, 2015
1.7
Feb 19, 2015
4.0
Jun 10, 2015
4.1
May 14th, 2015
1.5
May 27th, 2015
1.0 Beta 1
July 13th, 2015
1.0 Beta 2
Sept 4 th, 2015
1.0 Beta 3
May 23, 2015
1.5
Nov 5, 2014
1.4
It’s complicated
es
kibana
ls
beats
Elasticsearch
Beats Logstash
Kibana
5.0 is here.
All new versions.
All aligned.
16
Working beautifully together
es
kibana
ls
beats
6.0 7.0
x-pack
5.0
5.0
5.0
5.0
5.0
Search and
analytics, it all
started here
More than 60% of our customers
have a search or analytics use
case
18
19
Logs Logs Logs, 

many devices,

many systems
More than 40% of our

customers use our products

for operational log analysis
We collect more than
1.2 TB logs every day from
our infrastructure, web servers,
and applications.
21
We analyze more than 400
Million events a day to
maximize our manufacturing
processes and increase
efficiency across our teams.
22
Sniff sniff sniff,

find the bad actors

in your data
200% YoY growth in security
use cases with our products
We analyze piles of data:
13B AMP queries/day
600B emails/day
16B web requests/day
24
We are on track to achieve our
goal to handle more than 20 PB
of data to serve over 100
technical and business teams at
scale across the globe.
25
The Elastic Stack: 

A foundation to solve
many use cases
75% of our customers use
our products for more than
one use case
SEARCH
SECURIT
CUSTOM APPS
METRICS
OPERATIONAL

ANALYTICS
LOG ANALYSIS
Operational analytics
Flight telemetry analysis
Anomaly resolution
Internal search engine
27
28
Enterprise search
Intranet search
Real-time log analytics
Legal contract repository
Trade tracking application
HR recruiting application
Cloud is 4real,
let us host and
manage the stack
250% growth in our cloud
business since March 2015
30
elastic cloud
Hosted Elasticsearch &
Kibana From the Source
Log into Elastic Cloud
Login
Password
adrian.jozwik@elastic.co
Forgot your password? We’ll help.
Don't have an account? Sign up.
by
Elastic Cloud
31
5.0.1 already
available

(released yesterday)
1:24 memory-to-
disk ratio
Always the
newest release
More usable for
large datasets
32
Elastic Cloud as a Product
In ANY cloud … In YOUR cloud …
Many clusters / use cases
Single use case, as a service
Available in AWS today
33
Provisioning, orchestration, and
management of multiple Elastic Stacks
Expected GA Q1 2017
Same technical foundation as the Elastic
Cloud service
34
Behavioral analytics and unsupervised machine learning
34
Welcome Prelert
35
March 7-9, 2017
Pier 48
San Francisco, CA
2,500 attendees
3rd Annual Elastic User Conference
REGISTER TO ATTEND:
https://www.elastic.co/elasticon/conf/2017/sf/registration
Elasticsearch 5.0
The Heart of the Elastic Stack
Core Tenets of Elasticsearch
38
Developer Friendly Speed Scalability
5.0What You Need to Know
Better support for Numb3rs
• BKD Trees
• Lower heap usage
• IPv6 Support
40
Faster & reduced memory/disk for many use cases
0
10000
20000
30000
40000
50000
60000
70000
80000
float half	float scaled	float
(factor	=	4000)
scaled	float
(factor	=	100)
On	Disk	Usage	in	kb
Points	disk	usage	(kb) docs_values	disk	usage	(kb)
Better support for Numb3rs
Scaled / Half float
41
Faster & reduced memory/disk for many use cases
42
Improved Indexing Time Performance
Fast, Safe Scripting Language
43
• Secure and production-safe
• Significantly faster than Groovy
• Familiar syntax
• Can be used in various places:
• Ingest node pipeline, function scoring,

scripted result filtering, watch conditions,

and more
Say “Heya” to Painless
44
• Automatic time-series index management
• Rollover APIs
Logs-0001
Logs-0002
Logs-0003
1000 docs
800 docs
0 docs
Logs
(alias)
Simplified Architecture
Simplified Architecture
45
• Automatic time-series index management
• Shrink APIs
Shard 1 Compressed Shard 2
/_shrink API
High-volume Writes
Hot nodes Lower-resource warm nodes
Compressed Shard 1Shard 2 Shard 3 Shard 4
Resiliency and Safety Improvements
46
• We saw some common problems when getting
started or new users on a multi-tenant environment
• Bootstrap checks
• Circuit breakers
• Safeguards
Faster, more normalized DSL
47
• Completion Suggester v2
• Percolation is now a normal query
• Profile API expansion to include aggregations and
not just queries
Beyond 5.0
48
• Higher timestamp resolution (great for logging use cases)
• More improvements on resiliency
• Build on BKD: range fields, geo
• Increased performance for append-only time series use cases
• Native RESTful Java client
Kibana 5.0:
The Window into the Elastic Stack
Data VisualizationManagement
Kibana Evolution
Discover
Visualize
Dashboard
Data VisualizationManagement
Kibana Evolution: 4.x
Discover
Dashboard
Monitoring
Data VisualizationManagement
Kibana Evolution: 4.x
Visualize
Discover
Dashboard
Graph
Data VisualizationManagement
Monitoring
Kibana Evolution: 4.x
Visualize
Kibana Evolution: 4.x
Discover
Dashboard
Graph
TimelionSense
Data VisualizationManagement
Monitoring
Visualize
Kibana Evolution: 5.0
Discover
Dashboard
GraphDevTools
Data VisualizationManagement
TimelionConsole
Monitoring
Visualize
Kibana Evolution: 5.0
Discover
Dashboard
Graph
Settings
Users
DevTools
Data VisualizationManagement
Timelion
Monitoring
Visualize
Console
More Visually Stunning
57
New look and feel. More space-efficient dashboards
Improved time-series analytics
58
Timelion is now a default Kibana app
Window into the Elastic Stack
59
Console (formerly Sense) is a default app
Window into the Elastic Stack
60
Monitoring app now includes Kibana monitoring
* requires X-Pack
Window into the Elastic Stack
61
New UI to manage users and roles
* requires X-Pack
Share the Kibana <3
62
Create reports of your visualizations and dashboards
* requires X-Pack
Beyond 5.0
63
• Kibana is the Window into the Elastic Stack — management and visualization
• Embrace more diversity: New user interfaces, visualizations, and dev management tools
• Kibana for everyone — developers, technical, non-technical business users
• “Unexpected apps”
Ingest: Beats & Logstash 5.0
Ingest data from any source, in any format
65
Beats Logstash
X-pack X-pack
Nodes (X)
Logstash
Messaging
Queue
Kafka
Redis
Elasticsearch
Master Nodes (3)
Data Nodes - Warm (X)
Instances (X)
Kibana
Custom UI
Datastore Web APIs
Social Sensors
Log Files
Beats
Metrics
Wire Data your{beat}
Hadoop Ecosystem
ES-Hadoop
Ingest Nodes (X)
Data Nodes - Hot (X)
Authentication Notification
LDAP AD SSO
Say Heya to Ingest Node
67
Process incoming data directly in Elasticsearch
I
N
G
E
S
T
Logstash: Goodbye Black Box!
68
logstash:9600/_node
Node Info

Node Stats

Plugins

Hot Threads
Monitoring API
Debug active pipelines
with new logging API
Component level logging
granularity
Log4j2 Internal
Logging
Logstash: Performance++
69
20%+ increase in
overall pipeline
performance
50% performance
boost ingesting
from Beats
New Java Event
Beats Input Java
Rewrite
Logstash: Plugin Features
70
Developers can
generate new
plugins in seconds
Kafka 0.10 Support
Basic Auth & SSL/TLS
Plugin GeneratorKafka Support++
Kinesis Input

Protobuf Codec

Dissect Filter
IPv6 Support with
GeoIP2
New Plugins
71
Elasticsearch Kibana
ES-Hadoop
Backup Elasticsearch with HDFS
Efficiently move data between
Elasticsearch & Hadoop
Elasticsearch-Hadoop 5.0
Spark 2.0 & Better
Streaming Support
Ingest Node
Pipeline Integration
Elasticsearch 5.0
Parallel Reader
Beyond 5.0 (Beats)
72
• Moar modules in Metricbeat
• Moar Beats
• Even easier getting started experience
• Centralized configuration & monitoring
Beyond 5.0 (Logstash)
73
• Logstash persistence (disk-based queuing)
• Monitoring UI & centralized configuration
• Multiple pipelines, one JVM
• Error event routing
Elastic Cloud
The Only Official Elasticsearch-as-a-Service
www.elastic.co

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What's new in Elasticsearch v5