Implementing an Event Sourcing strategy on Azure
In recent years the Event Sourcing pattern has become increasingly popular. By storing a history of events it enables us to decouple the storage of data from the implementation of the logic around it. And we can rebuild the state of our data to any point in time, giving us a wide range of opportunities around auditing and compensation. In this demo-heavy session you will learn how we can use Azure Event Hubs to process and store these events to build our own event store based on Cosmos DB. Moreover, we will also dive into options around connecting to other Azure services and even Kafka applications to easily implement this popular pattern in our own solutions. #azurecosmosdb #azure #nosql #cloud #cosmosdbconf

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How does Azure Cosmos DB work under the hood?

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Event Sourcing : what could possibly go wrong? by Andrzej Ludwikowski

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Azure Reference Architecture - Event-driven and Event sourcing architectures

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What we learned about event sourcing and DDD while building a bank - Thomas Bøgh Fangel - DDD Europe

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Data Modeling and Partitioning in Azure Cosmos DB

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Azure Event Hubs for Apache Kafka | Azure Friday

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The Many Meanings of Event-Driven Architecture • Martin Fowler • GOTO 2017

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Implementing an Event Sourcing strategy on Azure - Olena Borzenko & Eldert Grootenboer

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Event Sourcing with Azure Cosmos DB - Roman Provazník

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Things I wish I knew before I started with event sourcing By Michał Ostruszka

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Mistakes made adopting event sourcing (and how we recovered) - Nat Pryce - DDD Europe 2020

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Data modeling and schema design for Azure Cosmos DB

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Azure Event Grid Tutorial

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Using the Well-Architected Framework

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Building event driven apps with Azure Functions and Azure Cosmos DB change feed - BRK3053

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Azure Event Grid for Event-Driven Applications - Azure Essentials Series - Ep: 8

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Graph Database and Graph Queries with Azure

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Azure Cosmos DB + Azure Functions - serverless database processing

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Azure Event Hub Tutorial | Big data message streaming service

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