Hi,
I an working on a solution involving eventsourcing and DDD/CQRS. The app is
configured with cassandra journal plugin to source the events.Snapshots
will also be stored in cassandra. Application has shared single writers
which will eventually write state to in memory datagrid. The state of the
application is always maintained in in memroy data grid, this is to make
the reads faster.
The app has below layers,
Front End
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Processing Layer
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Persistence Layer
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In memory Datagrid Layer
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Cassandra Durable DB
Front end--> Takes the command requests from web
Processing Layer-->Process the commands and can also source the commands
Persistence Layer --> Sharded Single writer PersistentActor will persist
event first into cassandra then will eventually update the domain state
into in memory datagrid.
I accept the disks are very cheap. eventsourcing/cqrs/DDD design requires
to store commands(if required),store events,store snapshot, store domian
state(read data and write data etc), It's a lot and lot of storing.......
Tuning in data grid and cassandra....for durability, have to choose either
replication/distribution/multiple copies etc. Further overhead of storing
data and maintaining multiple copies.
If the application is huge and highly OLTP with millions of
transactions....data will grow in no time. Millions of transaction's means
million of events and these needs to be saved. Will take up major disk
space and will occupy space faster.
eventsourcing/cqrs/DDD will lead to mammoth of data. Guess on data sizing
will end up requiring lot of disk space(including data and multiple copies
for durability). Huge data means big big clusters.
What are your thoughts? Correct me if I am wrong.
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