Keynote: Elastic Observability evolution and vision
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The document discusses Elastic Observability's approach to rapidly reducing mean time to recovery (MTTR) and enhancing user experience through various integrations and solutions tailored for cloud environments. It highlights features such as native alerting, machine learning capabilities, and unified analysis to streamline troubleshooting and empower analysts. Additionally, it emphasizes the significance of observability since 2012 and outlines plans for improving data ingestion and reporting.
Keynote: Elastic Observability evolution and vision
- 1. 1 Elastic Observability Drive MTTR towards Zero Tanya Bragin VP, Product | 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
- 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
- 10. Helping users embrace observability since 2012
- 11. Helping users embrace observability since 2012
- 12. Helping users embrace observability since 2012
- 13. Helping users embrace observability since 2012
- 14. Helping users embrace observability since 2012
- 15. Helping users embrace observability since 2012
- 16. Helping users embrace observability since 2012
- 17. 17 Looking back
- 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. Simplify Onboarding 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. 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)
- 22. 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
- 23. 23 Demo
- 24. 24 Looking ahead
- 25. 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
- 26. Simplify Onboarding Unified Ingest Management • Single agent • Integrations registry • Centralized ingest management • Streamline onboarding workflow
- 27. Enable Unified Analysis Curated Observability Reporting • Observability overview • Service, infrastructure, and end user health views • Curated SLI/SLO reporting
- 28. 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
- 29. Empower Analysts Investigative Workflows • Alert libraries • Advanced anomaly detection • Root cause analysis • Expanded set of actions
- 30. Thank you!