The document discusses Elastic Observability's offerings aimed at reducing mean time to resolution (MTTR) through enhanced observability solutions. It highlights features such as integrated alerting, machine learning, and streamlined onboarding for various cloud architectures, enabling unified analysis and proactive troubleshooting. Key advancements include centralized ingest management and improved reporting to empower analysts and organizations adopting observability practices.

1. 1
Elastic Observability
Drive MTTR towards Zero
Cyrille Le Clerc
Director of Product Management | Elastic Observability

2. SaaS Orchestration
Elastic Cloud
on Kubernetes
Elastic Cloud Elastic Cloud
Enterprise
Elastic Enterprise Search Elastic SecurityElastic Observability
Kibana
Elasticsearch
Beats Logstash
Elastic Technology
Powered by the
Elastic Stack
3 solutions
Deployed
anywhere

3. 3

6. Our pricing is based only on the
underlying infrastructure
resources used by any given
deployment — across all data
types and use cases.
hosts
agents
functions
containers
metrics
logs ingested
Pricing per
Others
Entity-based pricing
Elastic
Resource-based pricing

7. Helping users embrace observability since 2012
French companies working with Elastic

8. 8
Looking back

9. Reduce time to value and insights
100s of integrations
with data sources
Common data schema
and UI workflows
Through better connections across the board
Embedded alerting &
machine learning flows
Streamline
Onboarding
Enable
unified analysis
Empower
analysts

10. Simplify Onboarding
100s of integrations (and growing)
• Data to dashboard and alerts
in 5 minutes
• Monitor cloud-native arch with
ease: AWS, GCP, Azure, PCF,
and Kubernetes

11. Simplify Onboarding
100s of integrations (and growing)
• Data to dashboard and alerts
in 5 minutes
• Monitor cloud-native arch with
ease: AWS, GCP, Azure, PCF,
and Kubernetes

12. Enable Unified Analysis
Connections between pillars
• Speed up troubleshooting and
root cause analysis through
unification
• Enable cross-source
correlation through common
data models (Elastic Common
Schema)
• Streamline investigation
through logs, metrics & traces
in the UI

13. Empower Analysts
Native alerting & anomaly detection
• Embedding alerting in context
of the use case
• Using machine learning to
streamline and automate tasks
in turnkey ways
– Anomaly detection
– Log categorization
– Schema inference

14. 14
Demo

15. Demo
E-commerce

16. Demo
Architecture

17. Demo

18. Demo

19. Demo
Dashboard

20. Demo

21. 21
Looking ahead

22. Reduce time to value and insights
Unified ingest
management
Curated
observability
reporting
Through better connections across the board
Reactive & proactive
investigative
workflows
Getting Started in Minutes Enable unified analysis Empower analysts

23. Simplify Onboarding
Unified Ingest Management
• Single Agent
• Integrations Registry
• Centralized Ingest
Management
• Streamline onboarding
workflow

24. Enable Unified Analysis
Curated Observability Reporting
• Observability Overview
• Service, Infrastructure, and
End User Health Views
• Curated SLI/SLO Reporting

25. Enable Unified Analysis
Real User experience Monitoring (RUM
• See what your users see
• New dedicated workflows and GUI
• Embrace Web Core Vitals
• Visualise distributions and break
down by any dimension

26. Enable Unified Analysis
Synthetics Tests
• See what your users see
• Proactively catch problems, before
users do
• Test with consistency
• Multi step real browser checks
• Unifying Dev, QA, and Production
Experimental

27. Empower Analysts
Investigative Workflows
• Alert Libraries
• Expanded Alert Actions
• Advanced Anomaly Detection
• Root Cause Analysis

28. Thank you!