This document details information about following :
- Test Environment and resource configuration
- Test scenario and results
- GKE (Kubernetes Version) : 1.26.x
- Mongo Atlas M60
- GCP Memory Store (5GB)
Helm chart : https://github.com/harness/helm-charts/releases/tag/harness-0.9.2
| Service Name | Replicas | CPU (per replica) | Memory (per replica) | Version |
|---|---|---|---|---|
| access-control | 5 | 1 | 5 | harness-0.9.2 |
| ci-manager | 6 | 3 | 6 | harness-0.9.2 |
| pipeline-service | 10 | 4 | 12 | harness-0.9.2 + fixes (to be released in 0.11) |
| manager | 6 | 3 | 12 | harness-0.9.2 + fixes (to be released in 0.10) |
| log-service | 1 | 10 | 24 | harness-0.9.2 |
| ng-manager | 4 | 3 | 8 | harness-0.9.2 + fixes (to be released in 0.10) |
| scm | 2 | 0.5 | 1 | harness-0.9.2 |
| gateway | 2 | 2 | 6 | harness-0.9.2 |
| default-backend | 1 | 0.1 | 0.2 | harness-0.9.2 |
| nginx-ingress-controller | 2 | 5 | 10 | harness-0.9.2 |
| change-data-capture | 1 | 4 | 5 | harness-0.9.2 |
| next-gen-ui | 2 | 0.5 | 0.5 | harness-0.9.2 |
| ng-auth-ui | 2 | 0.1 | 0.1 | harness-0.9.2 |
| platform-service | 2 | 2.5 | 3 | harness-0.9.2 |
| template-service | 2 | 1 | 8 | harness-0.9.2 + fixes (to be released in 0.11) |
| ti-service | 1 | 3 | 6 | harness-0.9.2 |
| sto-core | 1 | 0.5 | 0.75 | harness-0.9.2 |
| sto-manager | 1 | 3 | 6 | harness-0.9.2 |
| gitops | 1 | 2 | 2 | harness-0.9.2 |
| ui | 1 | 0.5 | 0.5 | harness-0.9.2 |
| policy-mgmt | 1 | 0.5 | 0.5 | harness-0.9.2 |
| timescaledb | 2 | 1 | 2 | harness-0.9.2 |
Override file : https://github.com/harness/helm-charts/blob/main/src/harness/override-perf-ci-cd-ff.yaml
Each CI pipeline would
- initialise a k8s pod and git clone repo
- run 5 parallel steps (70 sec sleep)
- run template with 2 parallel steps (140sec sleep)
Projects : 1
Pipelines : 1500
Stages per pipeline : 1
Delegates : 10 (1cpu/2gi)
Result : PASS
Total Execution Time: 6min
Each CI pipeline would
- initialise a k8s pod and git clone repo
- run 5 parallel steps (140 sec sleep) and echo statements
Projects : 1
Pipelines : 1500
Stages per pipeline : 1
Delegates : 10 (1cpu/2gi)
Result : PASS
Total Execution Time: 5min
Each CD pipeline would
- fetch docker artifact from AWS ECR repo
- run following steps in order:
- Canary deploy
- Canary delete
- Rolling deploy
- K8s Delete
Projects : 1
Pipelines : 500
Stages per pipeline : 1
Delegates : 18 (1cpu/4gi)
Result : PASS
Total Execution Time: 4.5min