Eldert Grootenboer & Olena Borzenko-Turianska
Implementing an Event Sourcing strategy on Azure
#1about 1 minute
Understanding the core event sourcing pattern
Event sourcing reconstructs an entity's current state by replaying a historical sequence of immutable events rather than storing the final state.
#2about 4 minutes
Why event sourcing is better than traditional CRUD
The insert-only nature of event sourcing avoids database locking and scaling issues common in CRUD models while providing a natural audit trail.
#3about 5 minutes
Choosing the right Azure services for your architecture
An overview of key Azure services for an event-driven system, including Cosmos DB for storage, Event Hubs for ingestion, and Service Bus for commands.
#4about 2 minutes
Using Azure Functions as the connective glue
Azure Functions simplify development by using triggers and bindings to connect services like Cosmos DB and Event Hubs without writing boilerplate code.
#5about 5 minutes
Architecting an end-to-end event-driven workflow on Azure
A detailed walkthrough shows how services connect to ingest order data, store events, and trigger downstream processes like invoicing.
#6about 8 minutes
Optimizing read performance with materialized views
Use the Cosmos DB Change Feed with Azure Functions to create pre-calculated, denormalized data projections that make querying fast and efficient.
#7about 1 minute
Visualizing the complete data flow with materialized views
The full architecture diagram is revisited to show how materialized views fit in, serving pre-aggregated data to dashboards and client applications.
#8about 4 minutes
Key takeaways for building event-driven systems on Azure
A summary of best practices highlights using Cosmos DB as an append-only store and leveraging the Azure ecosystem like a box of Lego bricks.
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Understanding event streaming versus event sourcing
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Key takeaways on adopting event sourcing
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How to introduce new patterns like event sourcing
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How Azure Event Grid connects services
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Evolving from classic microservices to event-driven design
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How event sourcing provides a complete audit trail
Monoskope: Developer Self-Service Across Clusters
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Implementing a CQRS banking demo with Kafka
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Adopting the Axon framework for true event sourcing
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