Merge pull request #687 from lizwar/Envoy-and-Envoy_Tune

Envoy and envoy tune_editorial review complete_KB to sign off

Author: pareenaverma

content/learning-paths/servers-and-cloud-computing/envoy/_index.md

@@ -13,7 +13,7 @@ learning_objectives:
     - Verify Envoy is working correctly
 
 prerequisites:
-    - To run envoy as a web server, you will need at least one [Arm based instance](/learning-paths/servers-and-cloud-computing/csp/) from a cloud service provider or an on-premises Arm server.
+    - To run Envoy as a web server, you will need at least one [Arm based instance](/learning-paths/servers-and-cloud-computing/csp/) from a cloud service provider or an on-premises Arm server.
     - Network settings (firewalls and security groups) which allow communication on port 22 (SSH) and port 80 (HTTP).
 
 author_primary: Zhengjun Xing

content/learning-paths/servers-and-cloud-computing/envoy/build_install_envoy.md

@@ -8,11 +8,11 @@ weight: 2 # 1 is first, 2 is second, etc.
 layout: "learningpathall"
 ---
 
-Envoy is an open-source, high-performance proxy service initially developed by Lyft and now maintained by the Cloud Native Computing Foundation (CNCF). It is designed to be a scalable, flexible, and low-latency service proxy, particularly well-suited for microservices architectures and containerized applications.
+Envoy is an open-source, high-performance proxy service initially developed by Lyft and now maintained by the Cloud Native Computing Foundation (CNCF). It is designed to be a scalable, flexible, and low-latency service proxy, particularly well-suited for microservice architectures and containerized applications.
 
 ### Before you begin
 
-In this section you will learn about different options to install, configure and connect to your Envoy server. If you already know how to deploy a Envoy server, you can skip this learning path, and instead explore the [Learn how to Tune Envoy](/learning-paths/servers-and-cloud-computing/envoy_tune/) learning path. 
+In this section you will learn about the different options available to install, configure and connect to your Envoy server. If you already know how to deploy a Envoy server, you can skip this learning path, and instead explore the [Learn how to Tune Envoy](/learning-paths/servers-and-cloud-computing/envoy_tune/) learning path. 
 
 ### Arm deployment options
 
@@ -31,11 +31,11 @@ There are numerous ways to deploy Envoy on Arm: bare metal, cloud VMs, or the va
 
 ### Envoy installation options
 
-You can install Envoy in a few different ways. The recommended ways are to download the latest Envoy [binary](https://github.com/envoyproxy/envoy/releases) for your target Arm platform or build it from source. You can follow the steps in this section to build envoy from source.
+You can install Envoy in a few different ways. The recommended ways are to download the latest Envoy [binary](https://github.com/envoyproxy/envoy/releases) for your target Arm platform or build it from source. You can follow the steps in this section to build Envoy from source.
 
 ## Install Bazel
 
-To build Envoy from source you will use Bazel.
+To build Envoy from source you will need to use Bazel.
 
 On your Ubuntu Linux Arm machine, run the following commands to install Bazel:
 
@@ -63,7 +63,7 @@ sudo apt-get install \
 
 ### Build Envoy from the source code
 
-You will need to download and extract the prebuilt Clang+LLVM package from [LLVM official site](http://releases.llvm.org/download.html) as shown:
+You will need to download and extract the prebuilt Clang + LLVM package from [LLVM official site](http://releases.llvm.org/download.html) as shown below:
 
 ```console
 cd ~/

content/learning-paths/servers-and-cloud-computing/envoy_tune/tune_envoy_pgo.md

@@ -18,12 +18,12 @@ When you build Envoy using Bazel and LLVM/Clang, you should use the latest compi
 
 Here is an overview of the steps that you will need to take to build Envoy with PGO:
 
-* Make sure you have LLVM, Clang, and compiler-rt installed locally.
-* Build Envoy using the Clang, but with instrumentation.
+* Make sure you have LLVM, Clang, and compiler-rt installed locally
+* Build Envoy using Clang, but with instrumentation
 * Use the instrumented Envoy to generate profiles, which consists of two steps:
-	* Running the instrumented Envoy on tasks that represent how users will use it.
-	* Using a tool to convert the raw profiles generated from the previous step into a single, final PGO profile.
-* Build a final release Envoy using the profile collected from your benchmark.
+	* Running the instrumented Envoy on tasks that represent how users will use it
+	* Using a tool to convert the raw profiles generated from the previous step into a single, final PGO profile
+* Build a final release Envoy using the profile collected from your benchmark
 
 ### Detailed steps on how to build Envoy with PGO
 
@@ -36,7 +36,7 @@ bazel build -c opt --copt="-fprofile-generate=/path/to/stage2/profiles" --cxxopt
 ```
 2. Generate the profiles:
 
-Run the Envoy built by step 1 with your target test cases. When the test has finished, run the following command to kill the Envoy services:
+Run the Envoy built in step 1 with your target test cases. When the test has finished, run the following command to kill the Envoy services:
 
 ```console
 sudo pkill -2 envoy

content/learning-paths/servers-and-cloud-computing/envoy_tune/tune_envoy_thp.md

@@ -34,7 +34,7 @@ sudo apt-get install libhugetlbfs-dev libhugetlbfs-bin
 
 ### Enable `hugetlbfs` and THP
 
-Use the commands shown to enable `hugetlbfs` and THP:
+Use the commands shown below to enable `hugetlbfs` and THP:
 
 ```console
 mkdir -p  /mnt/hugetlbfs