Learn about the strategic feature areas of the Elastic Stack—Elasticsearch, a data engine like no other, and Kibana, the window into the Elastic Stack. The session will cover: Bringing data into the Elastic Stack Storing data Analyzing data Acting on data

1. ElasticON Solution Series -
Why Elastic?
Sajjad Ahmed, Elasticsearch Product Lead
Vijay Doshi, Kibana Product Lead
Transforming Data into Insights

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 10K, 10Q, and 8K, 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.

3. In the beginning...
beats
elasticsearch
kibana
logstash

4. Use cases emerged
Log analytics
Infrastructure metrics
Service uptime
Threat hunting
Website search
Cross company
resource search
eCommerce search
Incident Response
Real user monitoring

5. Search Observe Protect
Use cases emerged
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
Network Traffic Mapping

6. 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

7. Elastic Enterprise Search Elastic Security
Elastic Observability
beats
elasticsearch
kibana
logstash
Solutions created

8. Analytics
Workflows &
Action
Choice &
Simplicity
Data
Management
Elastic platform themes

9. Choice & simplicity

10. Getting started in Cloud

11. Fleet and Agent
Single unified ingest method

12. Integrations, integrations, integrations
Onboarding and overview experiences

13. Ease of use: Global Search

14. Data management

15. 2 categories
of data...

18. Constantly Occasionally Rarely
Only when
lawyers ask

19. Hot Warm
Index Lifecycle Management

20. Snapshot Lifecycle Management

21. Searchable Snapshots

22. Hot Warm Cold
Frozen
Snapshot
Data Tiers

23. Cold Tier

24. Frozen Tier

25. Data Tiers - Price vs Performance

26. Index Lifecycle Management

27. Disk

28. S3/Azure Blob Store/Google Cloud Storage
Disk
Cold

30. Introducing Searchable Snapshots
Cold
Frozen
Snapshot
$/2

31. S3/Azure Blob Store/Google Cloud Storage
Disk
Frozen

32. Analytics

33. Schema on Read

34. Schema on write
Speed, Scale,
Relevance
Data you understand
and use
Best For

35. 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

37. Runtime Fields Use cases
Get a jump start on your data
• 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.

38. 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.

39. 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.

40. 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.

41. Tons of Data
Slower (Cheaper)
Hardware
Show Search
Progress
Async Search

42. Time to Dashboard: Kibana Lens

43. Time to Dashboard: Create

44. Time to Dashboard: Edit

45. Time to Dashboard: Iterate

46. Analytically useful: Drag and drop multiple YAxis

47. Workflow & action

48. Workflow and collaboration: Actionable Kibana

49. Workflow and collaboration: Alerting framework

50. Workflow and collaboration: Alerting framework

51. Workflow and collaboration: Actionable Kibana

52. Workflow and collaboration: Actionable Kibana

53. Wrap-up

54. Elastic platform themes
Analytics
Workflows &
Action
Choice &
Simplicity
Data
Management
Onboarding
Use case focus getting started
Landing page
Global navigation
New branding
Elastic Agent
Ingest Manager
Data Streams
Runtime fields
Integration
Roll-ups
Lens
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
Drill downs
Custom workflows
Send to slack
Send to email
Send to background
Intermediate results
User setting

55. Thank you!