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Elastic Stack keynote
This presentation discusses new features and enhancements to the Elastic Stack. It covers improvements to ease of use through better onboarding experiences, a new Kibana architecture, and global search. It discusses enhancements to data management like index lifecycle management, searchable snapshots, and data tiers. New capabilities in data analysis are covered like asynchronous search, the Event Query Language, and rollups. The presentation also outlines advances in workflow and collaboration through an alerting framework and actionable Kibana. It concludes with a discussion of schema on read versus schema on write and a new runtime fields feature.
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Elastic Stack keynote
- 1. 1 Elastic Stack Keynote SteveKearns Vice President, Product Management Vijay Doshi Senior Director, Product Management
- 2. 2 This presentation andthe accompanying oral presentation contain forward-looking statements, including statements concerning plans for future offerings; the expected strength, performance or benefits of our offerings; and our future operations and expected performance. These forward-looking statements are subject to the safe harbor provisions under the Private Securities Litigation Reform Act of 1995. Our expectations and beliefs in light of currently available information regarding these matters may not materialize. Actual outcomes and results may differ materially from those contemplated by these forward-looking statements due to uncertainties, risks, and changes in circumstances, including, but not limited to those related to: the impact of the COVID-19 pandemic on our business and our customers and partners; our ability to continue to deliver and improve our offerings and successfully develop new offerings, including security-related product offerings and SaaS offerings; customer acceptance and purchase of our existing offerings and new offerings, including the expansion and adoption of our SaaS offerings; our ability to realize value from investments in the business, including R&D investments; our ability to maintain and expand our user and customer base; our international expansion strategy; our ability to successfully execute our go-to-market strategy and expand in our existing markets and into new markets, and our ability to forecast customer retention and expansion; and general market, political, economic and business conditions. Additional risks and uncertainties that could cause actual outcomes and results to differ materially are included in our filings with the Securities and Exchange Commission (the “SEC”), including our Annual Report on Form 10-K for the most recent fiscal year, our quarterly report on Form 10-Q for the most recent fiscal quarter, and any subsequent reports filed with the SEC. SEC filings are available on the Investor Relations section of Elastic’s website at ir.elastic.co and the SEC’s website at www.sec.gov. Any features or functions of services or products referenced in this presentation, or in any presentations, press releases or public statements, which are not currently available or not currently available as a general availability release, may not be delivered on time or at all. The development, release, and timing of any features or functionality described for our products remains at our sole discretion. Customers who purchase our products and services should make the purchase decisions based upon services and product features and functions that are currently available. All statements are made only as of the date of the presentation, and Elastic assumes no obligation to, and does not currently intend to, update any forward-looking statements or statements relating to features or functions of services or products, except as required by law. Forward-Looking Statements
- 3. Doubling down onthe Elastic Stack
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- 5. Log analytics Infrastructure metrics Serviceuptime Threat hunting Website search Cross company resource search eCommerce search Incident Response Real user monitoring Use cases emerged
- 6. Log analytics Application performancemonitoring Infrastructure metrics Service uptime Threat hunting Endpoint protection Website search In-app search Cross company resource search Search Observe Protect eCommerce search customer support portal Synthetic monitoring Threat prevention Threat Detection Incident Response Response hunting Security monitoring Business Analytics Network Traffic Mapping Real user monitoring Use cases emerged
- 7. 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 SecurityElastic Observability Network Traffic Mapping Solutions created
- 8. Elastic Enterprise SearchElastic SecurityElastic Observability beats elasticsearch kibana logstash Solutions created
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- 10. Workflow & Collaboration Data Analysis &Insight Managing Data OODA Loop Getting Started & Ease of Use Elastic Stack themes
- 11. Getting Started & Easeof Use
- 12. Getting started inCloud
- 13. Fleet and Agent Singleunified ingest method
- 14. Integrations, integrations, integrations Onboardingand overview experiences
- 15. Landing pages Every section Eachsection of the navigation will have a landing page - Kibana, Observability, Security and Enterprise Search Every cluster Net new clusters will be onboarded to ingest data and experience their use case first hand Every user Net new users will be guided with in-app product tours Always customizable Experienced users will enjoy a customizable overview page of their choice Onboarding and overview experiences
- 16. Ease of use:A new architecture for Kibana
- 17. Ease of use:Global Search
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- 22. Constantly Occasionally Rarely Onlywhen lawyers ask
- 23. Hot Warm Index LifecycleManagement
- 24. Snapshot: backups atthe cost of S3/Object Store Snapshot Lifecycle Management
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- 27. S3/Azure Blob Store/GoogleCloud Storage Disk Cold
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- 29. S3/Azure Blob Store/GoogleCloud Storage Disk Frozen
- 30. Doc Values Stored Fields TermDictionary Term Proximity Normalization Factors Point Values Meta Lookup
- 31. Doc Values Stored Fields TermDictionary Term Proximity Normalization Factors Point Values Meta Lookup
- 32. S3/Azure Blob Store/GoogleCloud Storage Disk Frozen
- 33. Disk S3/Azure Blob Store/GoogleCloud Storage Frozen
- 34.
- 35. Learn more in thesesessions Managing the Elastic Stack at scale Cost-effective data storage with data tiers How we built this: Data tiering, snapshots, and asynchronous search
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- 37. Data analysis: AsyncSearch Tons of DataSlower (Cheaper) Hardware Show Search Progress
- 38. Data analysis: EventQuery Language EQL + ES Analytics and Rule-writing EQL endpoint Real-time threat hunting Security Observability Search
- 39. Elasticsearch Query DSL RESTSQL EQL PromQL Data analysis: Query languages in Elastic
- 40. Data analysis: Rollups 5MB25MB 1TB
- 41. Time to Dashboard:Kibana Lens
- 42. Time to Dashboard:Create
- 43.
- 44. Time to Dashboard:Iterate
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- 46. Analytically useful: Dragand drop multiple YAxis
- 47. Learn more in thesesessions What’s new with data visualization in Kibana Advanced tips for visualizing and presenting data in Kibana
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- 49. Workflow and collaboration:Actionable Kibana
- 50. Workflow and collaboration:Actionable Kibana
- 51. Workflow and collaboration:Actionable Kibana
- 52. Workflow and collaboration:Alerting framework
- 53. Workflow and collaboration:Alerting framework
- 54. Workflow and collaboration:Alerting framework
- 55. Workflow and collaboration:Alerting framework On the horizon…
- 56. Learn more in thesesessions A new framework for alerts and actions in Kibana Advanced tips for visualizing and presenting data in Kibana
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- 58. Just one morething...
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- 60. Schema on write Speed,Scale, Relevance Data you understand and use Best For
- 61. 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
- 62. Runtime Fields New FieldType Defined by a Script Painless, grok/regex or even a dynamic lookup Evaluated at Query Time Add to your mapping, or provide with your query Works like a regular field Search, aggregate, visualize just like a regular field. { “day_of_week" : { "type" : "runtime", "runtime_type" : "keyword", "script" : { "source" : "dayOfWeek(doc[‘@timestamp’)" } } } New Data Sources Handling Changes Enable New Workflows Good For
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- 64. Elastic Stack themes Workflow& Collaboration Data Analysis & Insight Managing Data OODA Loop Getting Started & Ease of Use Onboarding Use case focus getting started Landing page Global navigation New branding Elastic Agent Ingest Manager Data Streams Runtime fields Integration Roll-ups Drill downs Custom workflows Send to slack Send to email Send to background Intermediate results User setting Lens GA New input controls 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
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