Finalised report of the performance test

docs/performance_test/README.md

@@ -106,19 +106,19 @@ In order to monitor the ressource consumption during our tests we need to create
 
 We create 4 different queries using Prometheus as the data source. For each query we can use the `code` mode to create them from a PromQL query. 
 
-## OC stack consumption
+### OC stack consumption
 
 ```
 sum(container_memory_usage_bytes{name=~"oc-auth|oc-datacenter|oc-scheduler|oc-front|oc-schedulerd|oc-workflow|oc-catalog|oc-peer|oc-workspace|loki|mongo|traefik|nats"})
 ```
 
-## Monitord consumption
+### Monitord consumption
 
 ```
 sum(container_memory_usage_bytes{image="oc-monitord"})
 ```
 
-## Total RAM consumption
+### Total RAM consumption
 
 ```
 sum(
@@ -128,8 +128,24 @@ sum(
 )
 ```
 
-## Number of monitord containers
+### Number of monitord containers
 
 ```
 count(container_memory_usage_bytes{image="oc-monitord"} > 0)
-```
+```
+
+# Launch executions
+
+We will use a script to insert in the DB the executions that will create the monitord containers.
+
+We need to retrieve two informations to execute the scripted insertion : 
+
+- The **workflow id** for the workflow we want to instantiate, this is can be located in the DB
+- A **token** to authentify against the API, connect to oc-front and retrieve the token in your browser network analyzer tool.
+
+Add these to the `insert_exex.sh` script.
+
+The script takes two arguments :
+- **$1** : the number of executions, which are created by chunks of 10 using a CRON expression to create 10 execution**S** for each execution/namespace
+
+- **$2** : the number of minutes between now and the execution time for the executions.