Learn about the latest innovations for managing data storage costs while balancing performance with Elasticsearch. See how to use new visualization and alerting capabilities to turn data insights into decisive action.
1. 1
The Elastic Stack
Using data for insight and action
George Kobar
Principal Product Marketing Manager
Dustin Smith
Principal Product Marketing Manager
2. Safe Harbor Statement
This presentation includes forward-looking statements that are
subject to risks and uncertainties. Actual results may differ
materially as a result of various risk factors included in the reports
on the Forms 10K, 10Q, and 8K, and in other filings we make with
the SEC from time to time. Elastic undertakes no obligation to
update any of these forward-looking statements.
5. Log analytics
Infrastructure metrics
Service uptime
Threat hunting
Website search
Cross company
resource search
eCommerce search
Incident Response
Real user monitoring
Use cases emerged
6. Log analytics
Application performance monitoring
Infrastructure metrics
Service uptime
Threat hunting
Endpoint protection
Website search
In-app search
Cross company
resource search
Search Observe Protect
eCommerce search
customer support
portal
Synthetic monitoring
Threat prevention
Threat Detection
Incident Response
Response hunting
Security monitoring
Business Analytics
Network Traffic
Mapping
Real user monitoring
Use cases emerged
7. Log analytics
Application performance monitoring
Infrastructure metrics
Service uptime
Threat hunting
Endpoint protection
Website search
In-app search
Cross company
resource search
eCommerce search
customer support
portal
Synthetic monitoring
Threat prevention
Threat Detection
Incident Response
Response hunting
Security monitoring
Business Analytics
Real user monitoring
Elastic Enterprise Search Elastic Security
Elastic Observability
Network Traffic
Mapping
Solutions created
38. Schema on write
Speed, Scale,
Relevance
Schema on read
Flexibility
Data you understand
and use
Best For
New Data Sources
Handling Changes
Enable New Workflows
Good For
39.
40. Get a jump start on your data
Runtime Fields Use cases
● Spend less time setting up the index and
more time searching.
● Extract and calculate new fields on the fly.
● Convert to indexed fields as needed for
optimal performance.
41. Quickly adapt to changes in your data
Runtime Fields Use cases
● Data is constantly evolving.
● Changes can break your index mappings.
● Dynamically create runtime fields without
reindexing.
● Eliminate the need to fix mappings and
reindex your data.
42. Give current fields a fresh coat of paint
Runtime Fields Use cases
● Find new ways to analyze already indexed
data by creating a runtime field using any
combination of existing fields.
● Empower end users to perform their own
analyses without overriding others or
requiring admin support.
43. Fix errors quickly reducing downtime to
production
Runtime Fields Use cases
● Mistakes made in index mappings are no
longer costly.
● Shadow incorrectly indexed fields with
runtime fields.
●
Eliminate the need to fix mappings and
reindex your data.
44. Data analysis: Async Search
Tons of Data
Slower (Cheaper) Hardware Show Search Progress
57. Elastic Stack themes
Workflow &
Collaboration
Data Analysis
& Insight
Managing Data
OODA
Loop
Getting Started
& Ease of Use
Onboarding
Use case focus getting started
Landing page
Global navigation
New branding
Elastic Agent
Ingest Manager
Data Streams
Runtime fields
Integration
Roll-ups
Drill downs
Custom workflows
Send to slack
Send to email
Send to background
Intermediate results
User setting
Lens GA
New input controls
New dashboard experience
Solutions inside dashboards
Canvas templates, Dashboard to Canvas
Pivot table
Treemap
Conditional metrics colors
Discover spreadsheet
Solution geo layers
Geo_shape aggregation
Vector tile output