I need to replicate a local node with a SimpleStrategy to a remote node in other Cassandra's DB. Does anyone have any idea where I begin?
The main complexity here, if you're writing data into both clusters is how to avoid overwriting the data that has changed in the cloud later than your local setup. There are several possibilities to do that:
If structure of the tables is the same (including the names of the keyspaces if user-defined types are used), then you can just copy SSTables from your local machine to the cloud, and use sstableloader to replay them - in this case, Cassandra will obey the actual writetime, and won't overwrite changed data. Also, if you're doing deletes from tables, then you need to copy SSTables before tombstones are expired. You may not copy all SSTables every time, just the files that has changed since last data upload. But you always need to copy SSTables from all nodes from which you're doing upload.
If structure isn't the same, then you can either look to using DSBulk or Spark Cassandra Connector. In both cases you'll need to export data with writetime as well, and then load it also with timestamp. Please note that in both cases if different columns have different writetime, then you will need to load that data separately because Cassandra allows to specify only one timestamp when updating/inserting data.
In case of DSBulk you can follow the example 19.4 for exporting of data from this blog post, and example 11.3 for loading (from another blog post). So this may require some shell scripting. Plus you'll need to have disk space to keep exported data (but you can use compression).
In case of Spark Cassandra Connector you can export data without intermediate storage if both nodes are accessible from Spark. But you'll need to write some Spark code for reading data using RDD or DataFrame APIs.