tweaks

README.md

@@ -1,19 +1,21 @@
 # GraphQL Perfomance Test
 
-Meta repo for creating resources in Azure Cloud via Terraform, creating docker images to run in Azure, and the scripts to run against the deployed resources
+Meta repo for creating docker images, for creating resources in Azure via Terraform for those images, and scripts to run against them for load test
 
 #### Setup
 
 Each folder contains a README that will help instrument the work to build out the required Docker images and Azure infrastructure:
 
-[Function App](./functionapp/README.md)  
-[Web App](./functionapp/README.md)  
-[Infrastructure](./functionapp/README.md)  
+[Function App](./functionapp/README.md)
+[Web App](./functionapp/README.md)
+[Infrastructure](./functionapp/README.md)
 
-#### CosmosDB Account 
-The account should have a database name `database` and a container within named `users` with a partition key of `/id`. This is a hard requirement and will prevent the perf test from running and data upload from processing. 
+#### CosmosDB Account
+
+The account should have a database name `database` and a container within named `users` with a partition key of `/id`. This is a hard requirement and will prevent the perf test from running and data upload from processing.
 
 ##### User Data
+
 The backing database will require data of a specific structure, to support this i've included `perf_tests/users.json` that will provide 1000 users to query against during the load test, with the data generated via `mockaroo.com`.
 
 This data will only needed to be populated once when using a predefined container for cosmos, but if you are creating the database on the fly, it can ran via `npm run populate` for each db creation

scripts/functionapp.perf.js

@@ -3,7 +3,8 @@ const autocannon = require('autocannon');
 
 const {
   env: {
-    functionapp_url: url, connections = 400, duration = 30, overallRate = 400,
+    functionapp_url: url, connections = 50, duration = 30, connectionRate = 40,
+
   },
 } = process;
 
@@ -34,7 +35,7 @@ autocannon.track(autocannon({
   url,
   connections,
   duration,
-  overallRate,
+  connectionRate,
   setupClient,
 }, console.log), {
   renderLatencyTable: true,

scripts/webapp.perf.js

@@ -3,7 +3,7 @@ const autocannon = require('autocannon');
 
 const {
   env: {
-    webapp_url: url, connections = 400, duration = 30, overallRate = 400,
+    webapp_url: url, connections = 50, duration = 30, connectionRate = 40,
   },
 } = process;
 
@@ -38,7 +38,7 @@ autocannon.track(autocannon({
   url,
   connections,
   duration,
-  overallRate,
+  connectionRate,
   setupClient,
 }, console.log), {
   renderLatencyTable: true,