diff --git a/tools/README.md b/tools/README.md
index df4c6ef7d25..cb6c22dd836 100644
--- a/tools/README.md
+++ b/tools/README.md
@@ -1,13 +1,16 @@
-buildgen: template renderer for our build system.
+buildgen: Template renderer for our build system.
 
-distrib: scripts to distribute language-specific packages.
+distrib: Scripts to distribute language-specific packages.
 
 dockerfile: Docker files to test gRPC.
 
 doxygen: gRPC C/C++ documentation generation via Doxygen.
 
-gce: scripts to help setup testing infrastructure on GCE.
+gce: Scripts to help setup testing infrastructure on GCE.
 
-jenkins: support for running tests on Jenkins.
+gcp: Helper scripts for interacting with various services on GCP (like Google
+container engine, BigQuery etc)
 
-run_tests: scripts to run gRPC tests in parallel.
+jenkins: Support for running tests on Jenkins.
+
+run_tests: Scripts to run gRPC tests in parallel.
diff --git a/tools/run_tests/stress_test/README.md b/tools/run_tests/stress_test/README.md
new file mode 100644
index 00000000000..9f3cae28a3a
--- /dev/null
+++ b/tools/run_tests/stress_test/README.md
@@ -0,0 +1,72 @@
+Running Stress tests on Google Container Engine
+=======================================
+
+### **Glossary**:
+* GCP: Google Cloud Platform
+* GCE: Google Compute Engine
+* GKE: Google Container Engine
+* GCP console: https://console.cloud.google.com
+
+### **Setup Instructions**
+#### *On GCP:*
+1. Create a GCP account (if you haven’t already) at https://cloud.google.com 
+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) 
+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). 
+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.
+5.1. 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)
+5.2. 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.
+5.3. **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.
+5.4. Create the cluster by clicking "Create" button.
+
+#### *On your machine* (or the machine from which stress tests on GKE are launched): 
+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 at https://github.com/grpc/grpc/blob/master/INSTALL.md 
+2. Install Docker (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` 
+        `$ gcloud components update kubectl`
+5. Install Google python client apis: 
+        `‘$ sudo pip install --upgrade google-api-python-client’`
+        **Note**: Do  `$ easy_install -U pip` if you do not have pip
+6. Install the `requests` Python package if you don’t have it already. Instructions are [here](http://docs.python-requests.org/en/master/user/install/)
+7. Set the `gcloud` defaults: See the instructions at https://cloud.google.com/container-engine/docs/before-you-begin under "*Set gcloud defaults*" section)
+7.1. Make sure you also fetch the cluster credentials for `kubectl` command to use. I.e `$ gcloud container clusters get-credentials CLUSTER_NAME`
+
+### **Launching Stress tests**
+
+The stress tests are launched by the following script (path is relative to GRPC root directory) :
+`tools/run_tests/stress_test/run_stress_tests_on_gke.py`
+
+The script has several parameters and you can find out more details by using the `--help` flag. 
+`<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`
+
+>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 
+
+all `kubectl`, Kubernetes command line tool using `gcloud` 
+        `$ gcloud components update kubectl`
+5. Install Google python client apis: 
+        `‘$ sudo pip install --upgrade google-api-python-client’`
+        **Note**: Do  `$ easy_install -U pip` if you do not have pip
+6. Install the `requests` Python package if you don’t have it already. Instructions are [here](http://docs.python-requests.org/en/master/user/install/)
+7. Set the `gcloud` defaults: See the instructions at https://cloud.google.com/container-engine/docs/before-you-begin under "*Set gcloud defaults*" section)
+7.1. Make sure you also fetch the cluster credentials for `kubectl` command to use. I.e `$ gcloud container clusters get-credentials CLUSTER_NAME`
+
+### **Launching Stress tests**
+
+The stress tests are launched by the following script (path is relative to GRPC root directory) :
+`tools/run_tests/stress_test/run_stress_tests_on_gke.py`
+
+The script has several parameters and you can find out more details by using the `--help` flag. 
+`<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`
+
+>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