Collect, store, and index all events in their raw format in perpetuity with complete fidelity and high durability to support auditing, replay, and analytics.
Data Lake
Context, problem, and forces
In our cloud-native system, we have chosen to leverage value-added cloud services to implement our event streaming and our databases. This empowers self-sufficient, full-stack teams to focus their efforts on the requirements of their components and delegate the complexity of operating these services to the cloud provider. We have also architected a topology of multiple event streams to connector our producer components to our consumer components in a well-reasoned manner, which provides proper bulkheads to ensure that a disruption...
