jomartin-999 commented on a change in pull request #7326:
URL: https://github.com/apache/geode/pull/7326#discussion_r794886183



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File path: geode-docs/tools_modules/geode_for_redis.html.md.erb
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@@ -229,27 +233,12 @@ integer (+/- 9223372036854775807) for CURSOR.
 | server       | redis_version<br/>redis_mode (always returns "cluster" 
because <%=vars.product_name%> for Redis always runs in cluster 
mode.)<br/>tcp_port<br/>uptime_in_seconds<br/>uptime_in_days |
 | stats        | 
total_commands_processed<br/>instantaneous_ops_per_sec<br/>total_net_input_bytes<br/>instantaneous_input_kbps<br/>total_connections_received<br/>keyspace_hits<br/>keyspace_misses<br/>evicted_keys
 (always returns 0)<br/>rejected_connections (always returns 
0)<br/>pubsub_channels<br/>pubsub_patterns|
 
-## <a id="advantages-over-redis"></a>Advantages of <%=vars.product_name%> over 
Redis
-
-<%=vars.product_name%>’s primary advantage is its **scalability**. While the 
Redis server is single threaded, <%=vars.product_name%> supports high 
concurrency. Many Redis clients can execute commands on the 
<%=vars.product_name%> cluster simultaneously.
-
-<%=vars.product_name%>'s architecture and management features help detect and 
resolve **network partitioning** problems without explicit management on the 
part of the Redis client.
-
-<%=vars.product_name%> for Redis partitions data across multiple servers and 
keeps replicated data up to date _synchronously_, whereas Redis uses 
asynchronous replication.
-This provides a higher level of data consistency within the cluster.
-
 ## <a id="expiration-accuracy"></a>Expiration Accuracy
 
 Keys are expired in two ways, actively and passively:
 
--   With active expiration, expiration is evaluated whenever a key is 
accessed. If the key is due to expire, it is deleted. Active expiration is 
accurate to the millisecond.
--   With passive expiration, keys are evaluated every three minutes. If they 
are due to expire, they are deleted.  Passive expiration is accurate to the 
second.
-
-## <a id="high-availability-model"></a>High Availability Model
-
-Data is stored in a single partitioned region that by default has one 
redundant copy.
-In practice this means that the cluster can tolerate the loss of a single 
server without the loss of
-data.
+-   With active expiration, expiration is evaluated **whenever a key is 
accessed**. If the key is due to expire, it is deleted. Active expiration is 
accurate to the millisecond.
+-   With passive expiration, keys are evaluated **every three minutes**. If 
they are due to expire, they are deleted.  Passive expiration is accurate to 
the second.

Review comment:
       Agreed.  Removed and updated to reflect feedback.




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