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Cómo transformar los datos en análisis con los que tomar decisiones
The document discusses the Elastic platform and its solutions, including Elastic Enterprise Search, Elastic Security, and Elastic Observability, highlighting their use cases across various sectors such as log analytics and threat detection. It also emphasizes features like runtime fields, which allow for dynamic data analysis without the need for reindexing, thereby enhancing performance and adaptability. Forward-looking statements regarding the performance and risks associated with these solutions are included, along with details on data management and analytics workflows.
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Cómo transformar los datos en análisis con los que tomar decisiones
- 1. ElasticON Solution Series- Why Elastic? Vincent Maury, Solutions Architect Transforming Data into Insights
- 2. Safe Harbor Statement This presentationincludes 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 10K, 10Q, and 8K, 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.
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- 4. Use cases emerged Loganalytics Infrastructure metrics Service uptime Threat hunting Website search Cross company resource search eCommerce search Incident Response Real user monitoring
- 5. Search Observe Protect Usecases 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 performancemonitoring 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 SearchElastic Security Elastic Observability beats elasticsearch kibana logstash Solutions created
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- 10. Getting started inCloud
- 11. Fleet and Agent Singleunified ingest method
- 12. Integrations, integrations, integrations Onboardingand overview experiences
- 13. Ease of use:Global Search
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- 18. Constantly Occasionally Rarely Onlywhen lawyers ask
- 19. Hot Warm Index LifecycleManagement
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- 25. Data Tiers -Price vs Performance
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- 28. S3/Azure Blob Store/GoogleCloud Storage Disk Cold
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- 31. S3/Azure Blob Store/GoogleCloud Storage Disk Frozen
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- 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 Usecases 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 tochanges 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 fieldsa 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 quicklyreducing 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
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- 45. Time to Dashboard:Iterate
- 46. Analytically useful: Dragand drop multiple YAxis
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- 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
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- 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
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