Event Sourcing
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Event sourcing is a data persistence technique where all changes to an application's state are stored as a sequence of events. This allows the entire state of the application to be reconstructed by replaying the events in order. Some key benefits of event sourcing include capturing business intent, providing an audit log, and allowing the data to be rebuilt into any data model. However, it also has some drawbacks such as requiring multiple data sources and models, dealing with versioning issues, and potential performance impacts.
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Dandelion Hashtable: beyond billion requests per second on a commodity server
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DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
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Event Sourcing
- 2. Agenda ● Typical Data Persistence ● Overview ● Events ● Why? ● Queries ● Drawbacks
- 3. Typical Data Persistence ● Maintain current state ● Concurrent users, data update conflicts. ● Auditing
- 4. Overview ● Old concept ● Using already (transaction log) ● Capture Intent ● Event = State Change ● Sequence of Events ● Append Only
- 5. Events ● Describes state change ● Past tense ● Source of truth ● Audit log
- 6. Event Stream Started Shopping Added T-Shirt Added Socks Removed Socks Added Coupon
- 7. Event StartedShopping { CartId: f5a7f55d-1e33-440c-836c-ea50fc59a274, CustomerId: f98902b3-e8cf-4b7a-b561-5e39a06b5e0c, Date: 2014-01-03 15:36:08, } AddedSocksToShoppingCart { CartId: f5a7f55d-1e33-440c-836c-ea50fc59a274, ProductId: ed00fa0b-6412-4cc6-bbac-14702bfeff3f, Quantity: 1, }
- 8. Why? ● Captures business intent ● Transaction & Audit log ● Build/Rebuild to any model ● Debugging ● Integration with other systems
- 9. Queries ● Generate Read Model from Events ● Secondary Data Source required ● Eventual Consistency Started Shopping Added T-Shirt Added Socks Removed Socks Added Coupon Any model you can think of! Cart Table CartId ProductId Quantity Denormalized Table CartId CustomerName ProductId Quantity Price
- 10. CQRS/ES Data Storage Domain Object Domain Object Command Handlers Client Command DTO Message Queue Read Layer Facade Query DTO Event Storage Events Message Queue Event Handlers Data Storage
- 11. Drawbacks ● Multiple Models / Data Sources ● Versioning ● Performance ● Maturity / Public Knowledge