Event Sourcing = everything that happens is an event. Save all the events and you can always get to the latest state, as well as what things look like at any time in the past. What an "event" is depends on your business domain and the granularity of processing. It's very common in enterprise apps with complex workflows (like payment processing or manufacturing). Good fit for functional programming techniques and makes business logic easy to reason about since everything is in reaction to some event, and usually emits another event.
With global ordering, you can have a single transaction ID that points to a snapshot of the entire system. The actual communication is usually handled by "service bus" style messaging like RabbitMQ that can support ordering, routing, acknowledgements, and retries. Kafka or a RDBMS can also be used but requires frameworks on top.
This concept is used pretty much everywhere. Redux is event sourcing front-end state for React. Most database replication is event sourcing by using a write-ahead log as the stream of mutations to apply. All that being said, I completely with this article that it's the wrong solution for most cases and creates far more problems and limitations than it solves.
With global ordering, you can have a single transaction ID that points to a snapshot of the entire system. The actual communication is usually handled by "service bus" style messaging like RabbitMQ that can support ordering, routing, acknowledgements, and retries. Kafka or a RDBMS can also be used but requires frameworks on top.
This concept is used pretty much everywhere. Redux is event sourcing front-end state for React. Most database replication is event sourcing by using a write-ahead log as the stream of mutations to apply. All that being said, I completely with this article that it's the wrong solution for most cases and creates far more problems and limitations than it solves.