kong / mesh-perf

Performance tests of Kong Mesh

Mesh Performance Tests

Performance tests of Kong Mesh.

Run

1. Install dependencies

make dev/tools

2. Create local cluster

ENV=local make start-cluster

3. Run tests from mesh-perf directory

make run

4. Destroy local cluster

ENV=local make destroy-cluster

Setup EKS cluster from your machine

It is recommended to use saml2aws for AWS authorization. After authorizing you just need to run command

AWS_PROFILE=saml ENV=eks make start-cluster

Observability

Observability tool is a way to inspect the end result of perf tests. Perf test ends with snapshot of Prometheus TSDB save on the host which run the perf test (defaults to /tmp/prom-snapshots). This directory will look like this

❯❯❯ ll -la /tmp/prom-snapshots/
total 0
drwxr-xr-x   6 jakub  wheel   192B Jun 29 15:40 ./
drwxrwxrwt  15 root   wheel   480B Jun 29 14:30 ../
drwxr-xr-x   6 jakub  wheel   192B Jun 29 15:28 20230629T125736Z-5c8c90f181c0b57f/
drwxr-xr-x   3 jakub  wheel    96B Jun 29 15:30 20230629T133034Z-77fee4f8e5a90c89/
drwxr-xr-x   3 jakub  wheel    96B Jun 29 15:33 20230629T133316Z-5e37819462543e4f/
drwxr-xr-x   3 jakub  wheel    96B Jun 29 15:40 20230629T134058Z-035f3439076d9f04/

You can run Docker Compose of Prometheus + Grafana with the data from test.

PROM_SNAPSHOT_PATH=/tmp/prom-snapshots/20230629T134058Z-035f3439076d9f04 make start-grafana

Grafana will be forwarded to localhost:3000. Kuma CP dashboard should be ready.

To update kuma-cp.json dashboard:

• place mesh-perf project next to kuma
• run make upgrade/dashboards from the top level directory of mesh-perf.