Elastic Observability ayuda a conducir el tiempo medio de resolución hacia cero con una visibilidad de extremo a extremo en una sola plataforma. Escuche las últimas características y capacidades, y dele un vistazo al futuro.
9. 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
18. 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
19. Nto de
100s of integrations (and growing)
• Data to value in 5 minutes
20. Simplify Onboarding
100s of integrations (and growing)
• Data to value in 5 minutes
• Monitor public cloud and
cloud-native arch with ease
21. 21
BEFORE NOW
ON EVERY HOST
• Filebeat for logs
• Metricbeat for metrics
• APM agents for app traces
• Heartbeat for uptime
• Endpoint for security
• Winlogbeat - windows data
ON EVERY HOST
• Elastic Agent for logs,
metrics, and security.
Uptime, windows data
and traces coming
soon.
One thing to install,
configure and scale.
Elastic Agent
One agent to rule them all!
22. Centrally manage
agents with Fleet
• Quick visibility to the status
of your fleet
• Update agent policies and
binaries remotely
• Manage agents at scale
• API for full automation
23. 23
Web UI to edit agent policies
Collecting data is now as easy as ☑
24. Mass updates in 1 click
• Just one click updates the policy
across all agents
• Saves time and headaches over
Powershell, Chef, Ansible, etc.
25. Enable Unified Analysis
Navigation between datasets
• Speed up troubleshooting and
root cause analysis
• Correlate across sources
through common schema
• Streamline investigation
through unified workflow:
‣ from metrics (KPIs)
‣ to traces (dependencies)
‣ to logs (events)
26. 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
29. Reduce time to value and insights
Unified ingest
management
Curated
observability reporting
Through better connections across the board
Reactive & proactive
investigative workflows
Streamline
Onboarding
Enable
unified analysis
Empower
analysts
31. Enable Unified Analysis
Curated Observability Reporting
• Observability overview
• Service, infrastructure, and
end user health views
• Curated SLI/SLO reporting
32. Enable Unified Analysis
Curated Observability Reporting
• Observability overview
• Service, infrastructure, and
end user health views
• Curated SLI/SLO reporting
• Security analytics on top of
observability data