More additions / Typos

1 files changed, 8 insertions, 6 deletions

diff --git a/tools/run_tests/stress_test/README.md b/tools/run_tests/stress_test/README.md
index e892ccd72f..80e4cd58f0 100644
--- a/tools/run_tests/stress_test/README.md
+++ b/tools/run_tests/stress_test/README.md
@@ -11,12 +11,14 @@
 #### *On GCP:*

 1. Login to GCP with your Google account (for example, your @gmail account) at https://cloud.google.com. If do not have a Google account, you will have to create an account first.

 2. Enable billing on Google cloud platform. Instructions [here](https://cloud.google.com/container-engine/docs/before-you-begin)  (see the '*Enable billing*' section).

-3. Create a Project from the [GCP console](https://console.cloud.google.com).i.e Click on the project dropdown box on the top right (to the right if the search box) and click '*Create a project*' option.

+3. Create a Project from the [GCP console](https://console.cloud.google.com).i.e Click on the project dropdown box on the top right (to the right of the search box) and click '*Create a project*' option.

 4. Enable the Container Engine API. Instructions [here](https://cloud.google.com/container-engine/docs/before-you-begin)  (See the '*Enable the Container Engine API*’ section). Alternatively, you can do the following:

-    - Click on the '*Products & Services*' icon on the top left (i.e the icon with three horizontal bars) and select '*API Manager*'

+    - Click on the '*Products & Services*' icon on the top left (i.e the icon with three small horizontal bars) and select '*API Manager*'

     - Select the '*Container Engine API*' under '*Google Cloud APIs*' on the main page. Note that you might have to click on '*More*' under '*Google Cloud APIs*' to see the '*Container Engine API*' link

     - Click on the '*Enable*' button. If the API is already enabled, the button's label would be '*Disable*' instead (do NOT click the button if its label is '*Disable*')

-5. Create a Cluster from the GCP console. i.e Go to the Container Engine section from GCP console and click '*Create Container Cluster*' and follow the instructions.

+5. Create a Cluster from the GCP console.

+    - Go to the Container Engine section from GCP console i.e: Click on the '*Products & Services*' icon on the top left (i.e the icon with three small horizontal bars) and click on '*Container Engine*'

+    - Click '*Create Container Cluster*' and follow the instructions.

     - The instructions for 'Name/Zone/MachineType' etc are [here](https://cloud.google.com/container-engine/docs/clusters/operations) (**NOTE**: The page also has instructions to setting up default clusters and configuring `kubectl`. We will be doing that later)

     - For the cluster size, a smaller size of < 10 GCE instances is good enough for our use cases - assuming that we are planning to run a reasonably small number of stress client instances. For the machine type, something like '2 vCPUs 7.5 GB' (available in the drop down box) should be good enough.

     - **IMPORTANT**: Before hitting the '*Create*' button, click on '*More*' link just above the '*Create*' button and Select '*Enabled*' for BigQuery , '*Enabled*' for Cloud Platform and '*Read/Write*' for Cloud User Accounts.

@@ -26,7 +28,7 @@
 1. You need a working gRPC repository on your machine. If you do not have it, clone the grpc repository from github (https://github.com/grpc/grpc) and follow the instructions [here](https://github.com/grpc/grpc/blob/master/INSTALL.md)

 2. Install Docker. Instructions [here](https://docs.docker.com/engine/installation/)

 3. Install Google Cloud SDK. Instructions [here](https://cloud.google.com/sdk/). This installs the `gcloud` tool

-4. Install `kubectl`, Kubernetes command line tool using `gcloud`. i.e 

+4. Install `kubectl`, Kubernetes command line tool using `gcloud`. i.e

     - `$ gcloud components update kubectl`

 5. Install Google python client apis:

     - `‘$ sudo pip install --upgrade google-api-python-client’`

@@ -44,8 +46,8 @@ The script has several parameters and you can find out more details by using the
   - `<grpc_root_dir>$ tools/run_tests/stress_test/run_stress_tests_on_gke.py --help`

 

 > **Example**

-> `$ tools/run_tests/Stress_test/run_stress_tests_on_gke.py --project_id=sree-gce --test_duration_secs=180 --num_clients=5`

+> `$ tools/run_tests/stress_test/run_stress_tests_on_gke.py --project_id=sree-gce --test_duration_secs=180 --num_clients=5`

 

-> Launches the 5 instances of stress test clients, 1 instance of stress test server and runs the test for 180 seconds. The test would be run on the default container cluster (that you have set in `gcloud`) in the project `sree-gce`.  

+> Launches the 5 instances of stress test clients, 1 instance of stress test server and runs the test for 180 seconds. The test would be run on the default container cluster (that you have set in `gcloud`) in the project `sree-gce`.

 

 > Note: we currently do not have the ability to launch multiple instances of the server. This can be added very easily in future