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Better CQRS with ksqlDB | Anshuman Mukherjee, Airwallex

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A deep dive into achieving excellent command query segregation with ksqlDB and the lessons learnt! CQRS is a design pattern where the command and query execution could use different data models and databases. Typically any changes from command execution get published to Kafka and updates the query database. However there are many use cases where command execution needs some of the query execution data. We initially solved this problem by calling the query APIs from the command execution side. However this caused strong dependency between systems that were supposed to work independently. We solved this problem by publishing the query model changes to Kafka and using ksqlDB to create state stores to store this data locally in command services. Although the data is distributed between instances of ksqlDB, a command service instance can fetch any data from its local instance. We have even created new aggregations from query models that are better suited for command flow.

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Better CQRS with ksqlDB Anshuman Mukherjee https://www.facebook.com/ansumanda https://twitter.com/ansumanda https://www.linkedin.com/in/anshuman-mu kherjee-25b89617
Agenda What is CQRS? (Dis)advantages of CQRS What is ksqlDB? Better CQRS with ksqlDB
What is CQRS?
What is CQRS?
What is CQRS?
What is CQRS?
What is CQRS?
(Dis)advantages of CQRS Reusing query Aggregations and projections No common model to share data
(Dis)advantages of CQRS
What is ksqlDB?
What is ksqlDB?
Better CQRS with ksqlDB
Better CQRS with ksqlDB ksqlDB runs as sidecar Each app query local db Partitions and data split across ksqlDB servers Pull query routed to correct ksqlDB server Horizontally scalable
Better CQRS with ksqlDB Script mounted in each pod using configmap Each app loads and run script using REST API ksqlDB publishes commands to kafka Other server instances read and initialise
Better CQRS with ksqlDB
Better CQRS with ksqlDB
Demo
Code Demo
Questions We are hiring!!! https://jobs.lever.co/airwallex

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