# Distributed Tests automation 1. [Description](#description) 2. [Architecture](#architecture) 3. [Run on remote cluster](#run-on-remote-cluster) - [Kubernetes cluster pre-configuration](#kubernetes-cluster-pre-configuration) - [Run tests manually](#run-tests-manually) - [Run tests automatically](#run-tests-automatically) - [Tests logs](#tests-logs) ## Description The goal of [Distributed System Tests for Nim-Codex](../../) is to test how [Codex](https://codex.storage) works in different topologies in the distributed network and to be able to detect regressions during development. We can [run Tests locally](LOCALSETUP.md) and it works well, but in order to scale that we may need to run Tests in an automatic way using remote Kubernetes cluster. Initially, we are considering to run dist-tests on [nim-codex](https://github.com/codex-storage/nim-codex) master branch merge, to be able to determine regressions. And we also working on [Continuous Tests](/ContinuousTests) which are called to detect issues on continuous Codex runs. ## Architecture Architecture ``` Logs --> Kibana / | GitHub --> CI --> Kubernetes --> Job Prometheus Elaticsearch \ / \ / \ | ------------------------ Metrics --> Grafana ``` ### Components | Component | Description | | --------------------------------------- | --------------------------------------- | | [cs-codex-dist-tests](/) | Distributed System Tests | | [Kubernetes](https://kubernetes.io) | Environment where we run Tests | | [Vector](https://vector.dev) | Ship logs to the Elasticsearch | | [Elasticsearch](https://www.elastic.co) | Store and index logs | | [Kibana](https://www.elastic.co) | Discover the logs in Elasticsearch | | [Grafana](https://grafana.com) | Visualize tests run results and metrics | | [Prometheus](https://prometheus.io) | Collect and store metrics | > Note: These components are not mentioned on the diagram and provided to understand what do we have under the hood ## Run on remote cluster In case of local run we use [Docker Desktop Kubernetes cluster](https://docs.docker.com/desktop/kubernetes/) and during the services checks, app connect directly to the cluster worker nodes and perform ports check. And in case of remote cluster, it would be required to configure services ports exposing using Ingress Controller or run tests directly inside the cluster. Now, we have a configuration key `RUNNERLOCATION` which change the logic of the services ports check and when we run tests inside remote cluster we should set it to the `InternalToCluster`. As for now, it was decided to run tests inside the remote Kubernetes cluster using CI because - Stable connection from app to the Kubernetes API - Independence from the CI limitations for long runs - Easy, fast, configurable and detachable run Because tests are run on remote cluster we need a way to see their execution status and to analyze the logs as well. For that we use Elasticsearch, Kibana and Grafana with logs shipped by Vector. Please see [Tests logs](#tests-logs) for more information. Now we can [Run tests manually](#run-tests-manually) and [Run tests automatically](#run-tests-automatically) on [remote Kubernetes cluster which requires to be pre-configured](#kubernetes-cluster-pre-configuration). ### Kubernetes cluster pre-configuration Before running the tests on remote Kubernetes cluster we performed [manual pre-configuration](../../../issues/7) and it was require to 1. [Create a namespace](../../../issues/7) 2. [Create kubeconfig for App](../../../issues/21) 3. [Create a secret with created kubeconfig](../../../issues/21) 4. [Create kubeconfig for GitHub Actions](../../../issues/19) ### Run tests manually **To run tests manually we have the following requirements** 1. Get kubeconfig - to access the cluster 2. Install [kubectl](https://kubernetes.io/docs/tasks/tools/) - to create resources in the cluster 3. Install [OpenLens](https://github.com/MuhammedKalkan/OpenLens) - to browse cluster resources **And to run the tests we should perform the following steps** 1. Create a Pod in the cluster, in the `default` namespace and consider to use your own value for `metadata.name`
pod.yaml ```yaml --- apiVersion: v1 kind: Pod metadata: name: dist-tests-runner namespace: default labels: app: dist-tests-runner launched: manually spec: containers: - name: dotnet image: mcr.microsoft.com/dotnet/sdk:7.0 env: - name: RUNNERLOCATION value: InternalToCluster - name: KUBECONFIG value: /opt/kubeconfig.yaml command: ["sleep", "infinity"] volumeMounts: - name: kubeconfig mountPath: /opt/kubeconfig.yaml subPath: kubeconfig.yaml - name: logs mountPath: /var/log/cs-codex-dist-tests restartPolicy: Never volumes: - name: kubeconfig secret: secretName: cs-codex-dist-tests-app-kubeconfig - name: logs hostPath: path: /var/log/cs-codex-dist-tests ```
```shell kubectl apply -f pod.yaml ``` 2. Exec into the Pod using the name you set in the previous step ```shell # kubectl kubectl exec -it dist-tests-runner -- bash # OpenLens OpenLens --> Pods --> dist-tests-runner --> "Press on it" --> Pod Shell ``` 3. Clone dist-tests repository ```shell folder="/opt/dist-tests" git clone https://github.com/codex-storage/cs-codex-dist-tests.git $folder cd $folder ``` 4. Define variables - optional ```shell # RUNNERLOCATION # defined at Pod creation # KUBECONFIG # defined at Pod creation export LOGPATH="/var/log/cs-codex-dist-tests" # Logs from that location will be send in Elasticsearch export RUNID=$(date +%Y%m%d-%H%M%S) # Run ID to show in Kibana/Grafana export TESTID=$(git rev-parse --short HEAD) # Test ID to show in Kibana/Grafana ``` 5. Run tests ```shell # All tests dotnet test # Short tests dotnet test Tests # Long tests dotnet test LongTests # Specific test dotnet test --filter=CodexLogExample ``` 6. We can see in OpenLens Pods started by dist-tests app 7. If we set `LOGPATH` to a location specified above, we should be able to see tests execution status in Kibana/Grafana. For more information, please see [Tests logs](#tests-logs). ### Run tests automatically Now we use GitHub Actions to trigger dist-tests run manually and considering to run them on [nim-codex](https://github.com/codex-storage/nim-codex) master branch merge. **It works in the following way** 1. Github Actions secrets contains [kubeconfig to interact with the Kubernetes cluster](../../../issues/19). 2. GitHub Actions [workflow](../../../actions/workflows/dist-tests.yaml) uses kubectl to create Kubernetes Job based on the [job.yaml](/docker/job.yaml) manifest file. It also accept optional inputs at run - `source` - Dist-tests source repository - `branch` - Repository branch - `namespace` - Namespace where Dist-test runner will de created - `nameprefix` - Dist-test runner name prefix 3. Kubernetes Job will run the Pod with a custom [Docker image](/docker/Dockerfile) - [codexstorage/cs-codex-dist-tests](https://hub.docker.com/r/codexstorage/cs-codex-dist-tests/tags). Image [entrypoint](/docker/docker-entrypoint.sh) is customizable and we can pass the following variables - `SOURCE` - Dist-tests source repository, useful when we work with forks - `default="current repository"` - `BRANCH` - Repository branch, useful when we would like to run tests from the custom branch - `default="master"` - `FOLDER` - Where to clone repository and it is done just to organize the things - `default="/opt/dist-tests"` > **Note:** Variables `SOURCE` and `BRANCH` passed by GitHub Actions to the Kubernetes Job and then to the Pod. 4. Job manifest is setting all required variables which are part of the Pod run ```shell RUNNERLOCATION=InternalToCluster KUBECONFIG=/opt/kubeconfig.yaml LOGPATH=/var/log/cs-codex-dist-tests NAMESPACE=default SOURCE=current repository BRANCH=master RUNID=datetime TESTID=short sha ``` 5. Dist-tests runner will use [kubeconfig to interact with the Kubernetes and run the tests](../../../issues/21), which is set by `KUBECONFIG` variable. 6. Runner will execute all tests and will write the logs to the `/var/log/cs-codex-dist-tests` folder. 7. Kubernetes Job status will be changed from `Running` to the `Completed` or `Failed`. 8. Vector will ship the logs to the Elasticsearch. 9. We can check execution status in Kibana and Grafana. For more information, please see [Tests logs](#tests-logs). ### Tests logs > **Note:** This part is not finished yet and it is under development We use Elasticsearch to store and discover the logs of the tests execution and Codex Pods which are run during the tests. We can use [Kibana](#kibana) to discover all the logs and [Grafana](#grafana) to see tests execution status. #### Endpoints | App | URL | Authentication | | ------- | ---------------------------------------------------------------------------- | -------------- | | Kibana | [kibana.dist-tests.codex.storage](https://kibana.dist-tests.codex.storage) | GitHub account | | Grafana | [grafana.dist-tests.codex.storage](https://grafana.dist-tests.codex.storage) | GitHub account | #### Kibana As for now, we have the following indices in Kibana | # | Index Pattern | Description | | - | -------------------------- | ----------------------------------- | | 1 | `dist-tests-status*` | Dist-tests execution status logs | | 2 | `dist-tests-logs*` | Dist-tests logs collected by runner | | 3 | `dist-tests-pods*` | Dist-tests Pods logs | | 4 | `continuous-tests-status*` | Dist-tests execution status logs | | 5 | `continuous-tests-logs*` | Dist-tests logs collected by runner | | 6 | `continuous-tests-pods*` | Dist-tests Pods logs | | 7 | `kubernetes*` | All Kubernetes Pods logs | #### Grafana As for now, we have the following Dashboards in Grafana | # | Dashboard | | - | -------------------------- | | 1 | Distributed Tests - Status | | 2 | Continuous Tests - Status |