popduke commented on code in PR #29:
URL: https://github.com/apache/bifromq-sites/pull/29#discussion_r2579605129


##########
docs/installation/docker.md:
##########
@@ -6,33 +6,97 @@ title: "Docker"
 ## Prerequisites
 
 * [Docker](https://www.docker.com/) is installed.
-* You have permission to use port 1883, and the port are available. If you do 
not have permission, please change to the corresponding port.
+* You have permission to use port 1883, and the port is available. If you do 
not have permission, please change to the corresponding port.
 
 ## Docker Command
 
-Run the following command, which will run BifroMQ within a container as the 
Linux user `bifromq`.
+Run the following command, which will run Apache BifroMQ within a container as 
the Linux user `bifromq`.
 
 ```
-docker run -d --name bifromq -p 1883:1883 bifromq/bifromq:latest
+docker run -d --name bifromq -p 1883:1883 apache/bifromq:4.0.0-incubating
 ```
 
 ## Memory Constraints
 
-By default, upon BifroMQ process initiation, it dynamically computes the 
relevant JVM parameters based on the physical memory of the hosting server. 
However, when launched within a containerized environment, it introspects the 
host
+By default, upon Apache BifroMQ process initiation, it dynamically computes 
the relevant JVM parameters based on the physical memory of the hosting server. 
However, when launched within a containerized environment, it introspects the 
host
 machine's physical memory, potentially causing conflicts with Docker or 
container-imposed memory constraints, consequently leading to the premature 
termination of the container.
 
 To circumvent such challenges, it is advisable to proactively delimit the 
container's memory consumption and convey these limitations to the container 
runtime via environmental variables. During the startup of BifroMQ, priority is 
given to
 the calculation of JVM parameters based on the `MEM_LIMIT` environmental 
variable. A specific illustration is provided below:
 
 ```
-docker run -d -m 10G -e MEM_LIMIT='10737418240' --name bifromq -p 1883:1883 
bifromq/bifromq:latest
+docker run -d -m 10G -e MEM_LIMIT='10737418240' --name bifromq -p 1883:1883 
apache/bifromq:4.0.0-incubating
 ```
 
 ***Note: The unit of MEM_LIMIT is in bytes.***
 
 Going a step further, it is possible to proactively configure the JVM heap 
memory and directly transmit it to the container runtime for utilization by 
BifroMQ. A specific illustration is provided below:
 
 ```
-docker run -d -m 10G -e JVM_HEAP_OPTS='-Xms2G -Xmx4G -XX:MetaspaceSize=128m 
-XX:MaxMetaspaceSize=500m -XX:MaxDirectMemorySize=1G' --name bifromq -p 
1883:1883 bifromq/bifromq:latest
+docker run -d -m 10G -e JVM_HEAP_OPTS='-Xms2G -Xmx4G -XX:MetaspaceSize=128m 
-XX:MaxMetaspaceSize=500m -XX:MaxDirectMemorySize=1G' --name bifromq -p 
1883:1883 apache/bifromq:4.0.0-incubating

Review Comment:
   Maybe the version number could be centrally managed by `releaseInfo.ts` 
introduced in last commit



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