Palestra de abertura: Evolução e visão do Elastic Observability
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O caso de uso de Observability ajuda a conduzir o tempo médio de resolução a zero com visibilidade de ponta a ponta em uma única plataforma. Ouça sobre os recursos e capacidades mais recentes e tenha uma visão do futuro.
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Palestra de abertura: Evolução e visão do Elastic Observability
- 1. 1 Elastic Observability Drive MTTR towards Zero Álvaro Lobato VP Engineering | 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!