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001-cdc/001---cdc.md

@@ -80,15 +80,15 @@ For the subscriber/consumer part, we can try using the [Confluent PostgreSQL sin
 
 
 ### Approach 3: Implement our publisher and subscriber in Go, using the PostgreSQL's logical replication
-In this approach, we will implement something similar to Debezium server/engine, but using Golang libraries such as [wal2json](https://github.com/eulerto/wal2json) and [wal-g](https://github.com/wal-g/wal-g).
+In this approach, we will implement something similar to Debezium server/engine, but using tools and libraries such as [wal2json](https://github.com/eulerto/wal2json) and [wal-g](https://github.com/wal-g/wal-g).
 The steps in this approach would be:
-1. Using Wal-g, we create a base backup of the source database and restore it to the target database. From this point, the target database must be in read-only mode for users other than our plugin user.
+1. Using wal-g, we create a base backup of the source database and restore it to the target database. From this point, the target database must be in read-only mode for users other than our plugin user.
 2. Using wal2json, we create a stream of transactions from the source database from the point that the base backup was created.
 3. A consumer reads the stream and applies the transactions to the target database.
-4. From some point, we determine that the target database is somehow in sync with the source database, by somehow, I mean that there are less than a threshold number of transactions in the queue. At this point, we can say that databases are 'ready' for migration.
-5. When databases are 'ready', and the user confirms, we need to put the source database in read-only mode and the consumer should process the remaining transactions until nothing is remaining.
+4. At one point, we try to determine whether the target database is in sync with the source database or not, i.e. there are less than a threshold number of transactions in the queue. At this point, we can say that databases are 'ready' for migration.
+5. When databases are 'ready', and the user confirms, we need to put the source database in read-only mode and the consumers should process the remaining transactions until all of them are processed.
 
-   During the time that the consumer is applying the remaining transaction, and the source DB is in read-only mode, there might be some write queries coming to the database. I can think of two ways to handle these queries:
+   While the consumers are applying the remaining transactions, and the source DB is in read-only mode, and there might be some write queries coming to the database. I can think of two ways to handle these queries:
    1. Reject the queries and return an error to the client.
         This approach will cause a very short glitch and downtime, but according to the fact that we already know that very few transactions remain, this downtime will be very short.