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+# Worker Scalability Test Plan
+
+<!--toc:start-->
+- [Worker Scalability Test Plan](#worker-scalability-test-plan)
+  - [Current State](#current-state)
+  - [Metrics to follow](#metrics-to-follow)
+  - [Test Plan](#test-plan)
+  - [Results](#results)
+  - [An example to verify different worker names from time to time](#an-example-to-verify-different-worker-names-from-time-to-time)
+<!--toc:end-->
+
+The workers have a permanent connection to the database and keep sending [heartbeats]()
+as signal that they are alive and ready to accomplish a task.
+The idea of this test plan is to verify the maximum number of idle workers before its 
+heartbeat starts to timeout.
+
+## Current State
+We're gonna use the Pulp stage instance to run those tests. Each pulp-worker pod requests 
+must request the minimal amount needed, 128MiB of memory, and have access to 250m of CPU.
+
+For database, we're using the AWS RDS PostgreSQL 16, on a db.m7g.2xlarge instance class.
+In theory, the maximum number of connections is defined by `LEAST({DBInstanceClassMemory/9531392}, 5000)`
+as written [here](https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/CHAP_Limits.html#RDS_Limits.MaxConnections)
+
+## Metrics to follow
+On database level:
+- Active Connections
+- Connection wait time
+- Slow queries
+- CPU and Memory utilization
+
+Most of those metrics can be checked [here](https://us-east-1.console.aws.amazon.com/rds/home?region=us-east-1#database:id=pulp-prod;is-cluster=false)
+
+For the application, we need to follow the timeouts using the logs.
+You can start [here](https://grafana.app-sre.devshift.net/explore?schemaVersion=1&panes=%7B%22vse%22%3A%7B%22datasource%22%3A%22P1A97A9592CB7F392%22%2C%22queries%22%3A%5B%7B%22id%22%3A%22%22%2C%22region%22%3A%22us-east-1%22%2C%22namespace%22%3A%22%22%2C%22refId%22%3A%22A%22%2C%22queryMode%22%3A%22Logs%22%2C%22expression%22%3A%22fields+%40logStream%2C+%40message%2C++kubernetes.namespace_name+%7C+filter+%40logStream+like+%2Fpulp-stage_pulp-%28worker%7Capi%7Ccontent%29%2F%5Cn%5Cn%5Cn%5Cn%22%2C%22statsGroups%22%3A%5B%5D%2C%22datasource%22%3A%7B%22type%22%3A%22cloudwatch%22%2C%22uid%22%3A%22P1A97A9592CB7F392%22%7D%2C%22logGroups%22%3A%5B%7B%22arn%22%3A%22arn%3Aaws%3Alogs%3Aus-east-1%3A744086762512%3Alog-group%3Acrcs02ue1.pulp-stage%3A*%22%2C%22name%22%3A%22crcs02ue1.pulp-stage%22%2C%22accountId%22%3A%22744086762512%22%7D%5D%7D%5D%2C%22range%22%3A%7B%22from%22%3A%22now-30m%22%2C%22to%22%3A%22now%22%7D%7D%7D&orgId=1)
+
+## Test Plan
+
+1. Warn the pulp stakeholders (@pulp-service-stakeholders) that a test gonna happen in stage. All tasks must be stopped.
+2. Create a MR reducing the resource for each worker, and increasing the number of workers. [here](https://gitlab.cee.redhat.com/service/app-interface/-/blob/master/data/services/pulp/deploy.yml#L75).
+It can be approved by anyone from the team. Just need to wait for the app-sre bot to merge it.
+3. After it got merged, check for the database metrics and application logs. The results from the run will be down in this document.
+4. We need to check if there's any new worker being started. For that, we need to use the `WorkersAPI` and check a set with the names from time to time.
+An example of a script to check the workers from time to time is written [here](#an-example-to-verify-different-worker-names-from-time-to-time)
+5. When the test is done, you need a new MR reducing the number of workers to 0 (zero) and then a new MR returning 
+the number to its usual state (2 pulp-workers in staging) and to its proper resource utilization.
+6. Send a new message to the Pulp Stakeholders (@pulp-service-stakeholders) saying that the test is concluded.
+
+## Results
+To be added in the future.
+
+Date of the test: YYYY/mm/dd
+
+A possible template for the table could be:
+
+| Instance Count | Timeout(Yes/No) | Bottleneck Identified |
+|----------------|-----------------|-----------------------|
+| 100            | {{value}}       | `None`                |
+| 250            | {{value}}       | `...`                 |
+| 500            | {{value}}       | `...`                 |
+| 1000           | {{value}}       | `...`                 |
+
+**Key:**
+- Use `-` for unavailable metrics.
+
+## An example to verify different worker names from time to time
+```bash
+#!/bin/bash
+
+# Extract the current list
+pulp status | jq '.online_workers.[].name' | sort > current_list.txt
+
+# Compare with the previous list (if it exists)
+if [ -f previous_list.txt ]; then
+    echo "Differences since last check:"
+    comm -3 previous_list.txt current_list.txt
+fi
+
+# Update the previous list
+mv current_list.txt previous_list.txt
+```