From 8a42d8ed950b1c68647d8931c562c7eee4fa86ac Mon Sep 17 00:00:00 2001 From: Joel Takvorian Date: Tue, 21 Jun 2022 12:37:37 +0200 Subject: [PATCH 1/7] NETOBSERV-346 revamp upstream doc / readme --- DEVELOPMENT.md | 148 +++++++++++ README.md | 259 +++++++++++++------- docs/assets/netobserv-grafana-dashboard.png | Bin 385689 -> 249409 bytes docs/assets/network-traffic-main.png | Bin 226534 -> 203718 bytes docs/assets/network-traffic-pod.png | Bin 249243 -> 0 bytes docs/assets/operatorhub-flowcollector.png | Bin 0 -> 56753 bytes docs/assets/operatorhub-search.png | Bin 0 -> 65048 bytes docs/assets/topology-deployment.png | Bin 0 -> 133116 bytes docs/assets/topology-main.png | Bin 0 -> 186720 bytes 9 files changed, 316 insertions(+), 91 deletions(-) create mode 100644 DEVELOPMENT.md delete mode 100644 docs/assets/network-traffic-pod.png create mode 100644 docs/assets/operatorhub-flowcollector.png create mode 100644 docs/assets/operatorhub-search.png create mode 100644 docs/assets/topology-deployment.png create mode 100644 docs/assets/topology-main.png diff --git a/DEVELOPMENT.md b/DEVELOPMENT.md new file mode 100644 index 000000000..56612dfb8 --- /dev/null +++ b/DEVELOPMENT.md @@ -0,0 +1,148 @@ +# Development & Contributing + +## Deploy an existing image + +Images are built and pushed through CI to [quay.io](https://quay.io/repository/netobserv/network-observability-operator?tab=tags). + +The operator isn't yet bundled for OLM or Openshift Operator Hub, so you need to clone this repo and deploy from there at the moment. + +To refer to the latest version of the `main` branch, use `IMG=quay.io/netobserv/network-observability-operator:main` or simply `VERSION=main`. To refer to older versions, use the commit short-SHA as the image tag. By default, `main` will be used. + +E.g. to deploy the latest build: + +```bash +make deploy +``` + +You must then install the custom resource, e.g.: + +```bash +kubectl apply -f ./config/samples/flows_v1alpha1_flowcollector.yaml +``` + +## Build / push / deploy + +The repository `quay.io/netobserv/network-observability-operator` is only writable by the CI, so you need to use another repository (such as your own one) if you want to use your own build. + +For instance, to build from a pull-request, checkout that PR (e.g. using github CLI or `git fetch upstream pull/99/head:pr-99 && git checkout pr-99` (replace `99` with the PR ID)), then run: + +```bash +IMG="quay.io/youraccount/network-observability-operator:v0.0.1" make image-build image-push deploy +``` + +Note, the default image pull policy is `IfNotPresent`, so if you previously deployed the operator on a cluster and then create another build with the same image name/tag, it won't be pulled in the cluster registry. So you need either to provide a different image name/tag for every build, or modify [manager.yaml](./config/manager/manager.yaml) to set `imagePullPolicy: Always`, then re-deploy. + +Then, you can deploy a custom resource, e.g.: + +```bash +kubectl apply -f ./config/samples/flows_v1alpha1_flowcollector.yaml + +# or using make +make deploy-sample-cr +``` + +## Deploy as bundle + +For more details, refer to the [Operator Lifecycle Manager (OLM) bundle quickstart documentation](https://sdk.operatorframework.io/docs/olm-integration/quickstart-bundle/). + +This task should be automatically done by the CI/CD pipeline. However, if you want to deploy as +bundle for local testing, you should execute the following commands: + +``` +export USER= +export VERSION=0.0.1 +export IMG=quay.io/$USER/network-observability-operator:v$VERSION +export BUNDLE_IMG=quay.io/$USER/network-observability-operator-bundle:v$VERSION +make image-build image-push +make bundle bundle-build bundle-push +``` + +Optionally, you might validate the bundle: +``` +operator-sdk bundle validate $BUNDLE_IMG +``` + +Note: the base64 logo can be generated with: `base64 -w 0 ` + +### Deploy as bundle from command line + +This mode is recommended to quickly test the operator during its development: + +``` +operator-sdk run bundle $BUNDLE_IMG +``` + +### Deploy as bundle from the Console's OperatorHub page + +This mode is recommended when you want to test the customer experience of navigating through the +operators' catalog and installing/configuring it manually through the UI. + +First, create and push a catalog image: + +``` +export CATALOG_IMG=quay.io/$USER/network-observability-operator-catalog:v$VERSION +make catalog-build catalog-push catalog-deploy +``` + +The NetObserv Operator is available in OperatorHub: https://operatorhub.io/operator/netobserv-operator + +## Publish on central OperatorHub + +See [RELEASE.md](./RELEASE.md#publishing-on-operatorhub). + +## FlowCollector custom resource + +The `FlowCollector` custom resource is used to configure the operator and its managed components. You can read its [full documentation](https://github.com/netobserv/network-observability-operator/blob/main/docs/FlowCollector.md) and check this [sample file](./config/samples/flows_v1alpha1_flowcollector.yaml) that you can copy, edit and install. + +Note that the `FlowCollector` resource must be unique and must be named `cluster`. It applies to the whole cluster. + +## Installing Loki + +Loki is used to store the flows, however its installation is not managed directly by the operator. There are several options to install Loki, like using the `loki-operator` or the helm charts. Get some help about it on [this page](https://github.com/netobserv/documents/blob/main/hack_loki.md). + +Once Loki is setup, you may have to update the `flowcollector` CR to update the Loki URL (use an URL that is accessible in-cluster by the `flowlogs-pipeline` pods; default is `http://loki:3100/`). + +## Installing Kafka + +Kafka can be used to separate flows ingestion from flows transformation. The operator does not manage kafka deployment and topic creation. If you deployed the NOO from the repository, we provide a quick setup for kafka using the [strimzi operator](https://strimzi.io/). + +```bash +make deploy-kafka +``` + +Kafka can then be enabled in the `flowcollector` CR. If Kafka was deployed using the Makefile, switching the kafka.enable flag to true in the sample file should be enough. Otherwise, kafka address and topic name should be configured. + +## OpenShift Console plugin + +The operator deploys a console dynamic plugin when used in OpenShift, and should register it automatically if `spec.consolePlugin.register` is set to `true` (default). + +If it's set to `false`, or if for any reason the registration failed, you can still do it manually by editing +`console.operator.openshift.io/cluster` to add the plugin reference: + +```yaml +spec: + plugins: + - network-observability-plugin +``` + +Or simply execute: + +```bash +oc patch console.operator.openshift.io cluster --type='json' -p '[{"op": "add", "path": "/spec/plugins/-", "value": "network-observability-plugin"}]' +``` + +The plugin provides new views in the OpenShift Console: a new submenu _Network Traffic_ in _Observe_, and new tabs in several details views (Pods, Deployments, Services...). + +![Main view](./docs/assets/network-traffic-main.png) +_Main view_ + +![Pod traffic](./docs/assets/network-traffic-pod.png) +_Pod traffic_ + +### Grafana dashboard + +Grafana can be used to retrieve and show the collected flows from Loki. You can [find here](https://github.com/netobserv/documents/blob/main/hack_loki.md#grafana) some help to install Grafana if needed. + +Then import [this dashboard](./config/samples/dashboards/Network%20Observability.json) in Grafana. It includes a table of the flows and some graphs showing the volumetry per source or destination namespaces or workload: + +![Grafana dashboard](./docs/assets/netobserv-grafana-dashboard.png) diff --git a/README.md b/README.md index 7867fd736..10aa9cd48 100644 --- a/README.md +++ b/README.md @@ -1,148 +1,227 @@ -# Network Observability Operator (NOO) +# NetObserv Operator -[![Docker Repository on Quay](https://quay.io/repository/netobserv/network-observability-operator/status "Docker Repository on Quay")](https://quay.io/repository/netobserv/network-observability-operator) +A Kubernetes / OpenShift operator for network observability. It deploys a flow monitoring pipeline based on an [eBPF agent](https://github.com/netobserv/netobserv-ebpf-agent/) or [IPFIX](https://en.wikipedia.org/wiki/IP_Flow_Information_Export) exports. It provides dashboards, metrics, and keeps flows accessible in a queryable log store: [Grafana Loki](https://grafana.com/oss/loki/). When used in OpenShift, new dashboards are available in the Console. -An OpenShift / Kubernetes operator for network observability. It deploys a flow collector (IPFIX standard), an OpenShift console plugin (if working with OpenShift) and it configures the OpenShift Cluster Network Operator to enable flow exports. The `OVN-Kubernetes` CNI is required. +## Getting Started -A Grafana dashboard is also provided. +You can install NetObserv Operator using [OLM](https://olm.operatorframework.io/) if it is available in your cluster, or directly from its repository. -It is also possible to use without OpenShift: -- Using the upstream [ovn-kubernetes](https://github.com/ovn-org/ovn-kubernetes/) with any supported Kubernetes flavour. -- If you don't use ovn-kubernetes but still can manage having IPFIX exports by a different mean, you're more on your own, but still should be able to use this operator. You will need to configure the IPFIX export to push flows to the `flowlogs-pipeline` component deployed by this operator. You could also consider using [flowlogs-pipeline](https://github.com/netobserv/flowlogs-pipeline) directly. +### Install with OLM -Managed components are deployed in a namespace configured via a Custom Resource (see [FlowCollector custom resource](#flowcollector-custom-resource) section below). +NetObserv Operator is available in [OperatorHub](https://operatorhub.io/operator/netobserv-operator), just follow the guided steps. It is also available in the OperatorHub catalog directly in the OpenShift Console. -## Deploy an existing image +![OpenShift OperatorHub search](./docs/assets/operatorhub-search.png) -Images are built and pushed through CI to [quay.io](https://quay.io/repository/netobserv/network-observability-operator?tab=tags). +After the operator is installed, create a `FlowCollector` resource: -The operator isn't yet bundled for OLM or Openshift Operator Hub, so you need to clone this repo and deploy from there at the moment. +![OpenShift OperatorHub FlowCollector](./docs/assets/operatorhub-flowcollector.png) -To refer to the latest version of the `main` branch, use `IMG=quay.io/netobserv/network-observability-operator:main` or simply `VERSION=main`. To refer to older versions, use the commit short-SHA as the image tag. By default, `main` will be used. +Note: if you are not using [OVN-Kubernetes](https://github.com/ovn-org/ovn-kubernetes/) CNI, we recommend using `ebpf` as the `agent`, rather than `ipfix` (unless you know what you do). NetObserv will automatically configure OVN-Kubernetes for IPFIX exports, but cannot do such with other CNIs. -E.g. to deploy the latest build: +### Install from repository + +A couple of `make` targets are provided in this repository to allow installing without OLM: ```bash -make deploy +git clone https://github.com/netobserv/network-observability-operator.git && cd network-observability-operator +make deploy deploy-loki deploy-grafana ``` -You must then install the custom resource, e.g.: +It will deploy the operator in its latest version, with port-forwarded Loki and Grafana. To deploy a specific version, add a `VERSION` env to the above make command, e.g: ```bash -kubectl apply -f ./config/samples/flows_v1alpha1_flowcollector.yaml +VERSION=0.1.2 make deploy deploy-loki deploy-grafana ``` -## Build / push / deploy - -The repository `quay.io/netobserv/network-observability-operator` is only writable by the CI, so you need to use another repository (such as your own one) if you want to use your own build. +Note: this `loki-deploy` script is provided as a quick install path, it is not suitable for production. Please refer to [the official documentation](https://grafana.com/docs/loki/latest/) for a clean install. -For instance, to build from a pull-request, checkout that PR (e.g. using github CLI or `git fetch upstream pull/99/head:pr-99 && git checkout pr-99` (replace `99` with the PR ID)), then run: +To deploy the monitoring pipeline, this `make` target installs a `FlowCollector` with default values: ```bash -IMG="quay.io/youraccount/network-observability-operator:v0.0.1" make image-build image-push deploy +make deploy-sample-cr ``` -Note, the default image pull policy is `IfNotPresent`, so if you previously deployed the operator on a cluster and then create another build with the same image name/tag, it won't be pulled in the cluster registry. So you need either to provide a different image name/tag for every build, or modify [manager.yaml](./config/manager/manager.yaml) to set `imagePullPolicy: Always`, then re-deploy. +Alternatively, you can [grab and edit](./config/samples/flows_v1alpha1_flowcollector.yaml) this config before installing it. -Then, you can deploy a custom resource, e.g.: +Note: if you are not using [OVN-Kubernetes](https://github.com/ovn-org/ovn-kubernetes/) CNI, we recommend using `ebpf` as `spec.agent`, rather than `ipfix` (unless you know what you do). NetObserv will automatically configure OVN-Kubernetes for IPFIX exports, but cannot do such with other CNIs. -```bash -kubectl apply -f ./config/samples/flows_v1alpha1_flowcollector.yaml +You can still edit the `FlowCollector` after it's installed: the operator will take care about reconciling everything with the updated configuration: -# or using make -make deploy-sample-cr +```bash +kubectl edit flowcollector cluster ``` -## Deploy as bundle +### OpenShift Console -For more details, refer to the [Operator Lifecycle Manager (OLM) bundle quickstart documentation](https://sdk.operatorframework.io/docs/olm-integration/quickstart-bundle/). +_Pre-requisite: OpenShift 4.10 or above_ -This task should be automatically done by the CI/CD pipeline. However, if you want to deploy as -bundle for local testing, you should execute the following commands: +If the OpenShift Console is detected in the cluster, a console plugin is deployed when a `FlowCollector` is installed. It adds new dashboards to the console: -``` -export USER= -export VERSION=0.0.1 -export IMG=quay.io/$USER/network-observability-operator:v$VERSION -export BUNDLE_IMG=quay.io/$USER/network-observability-operator-bundle:v$VERSION -make image-build image-push -make bundle bundle-build bundle-push -``` +- A flow table, with powerful filtering and display options -Optionally, you might validate the bundle: -``` -operator-sdk bundle validate $BUNDLE_IMG -``` +![Flow table](./docs/assets/network-traffic-main.png) -Note: the base64 logo can be generated with: `base64 -w 0 ` +- A topology view, with the same filtering options and several levels of aggregations (nodes, namespaces, owner controllers, pods). A side panel provides contextual insight and metrics. -### Deploy as bundle from command line +![Topology](./docs/assets/topology-main.png) -This mode is recommended to quickly test the operator during its development: +These dashboards are accessible directly from the main menu, and also as contextual tabs for any Pod, Deployment, Service (etc.) in their details page. -``` -operator-sdk run bundle $BUNDLE_IMG -``` +![Contextual topology](./docs/assets/topology-deployment.png) -### Deploy as bundle from the Console's OperatorHub page +### Standalone console -This mode is recommended when you want to test the customer experience of navigating through the -operators' catalog and installing/configuring it manually through the UI. +_Coming soon_ -First, create and push a catalog image: +### Grafana +Grafana can be used to retrieve and show the collected flows from Loki. If you used the `make` commands provided above to install NetObserv from the repository, you should already have Grafana installed and configured. + +Else you can [find here](https://github.com/netobserv/documents/blob/main/hack_loki.md#grafana) some help to install Grafana if needed. + +Then import [this dashboard](./config/samples/dashboards/Network%20Observability.json) in Grafana. It includes a table of the flows and some graphs showing the volumetry per source or destination namespaces or workload: + +![Grafana dashboard](./docs/assets/netobserv-grafana-dashboard.png) + +## Configuration + +The `FlowCollector` resource is used to configure the operator and its managed components. A comprehensive documentation is [available here](./docs/FlowCollector.md), and a full sample file [there](./config/samples/flows_v1alpha1_flowcollector.yaml). + +To edit configuration in cluster, run: + +```bash +kubectl edit flowcollector cluster ``` -export CATALOG_IMG=quay.io/$USER/network-observability-operator-catalog:v$VERSION -make catalog-build catalog-push catalog-deploy -``` -The NetObserv Operator is available in OperatorHub: https://operatorhub.io/operator/netobserv-operator +As it operates cluster-wide, only a single `FlowCollector` is needed and possible, and it has to be named `cluster`. + +A couple of settings deserve special attention: + +- Agent (`spec.agent`) can be `ipfix` or `ebpf`. As mentioned above, the IPFIX option is fully functional when using OVN-Kubernetes CNI (other CNIs are not supported, but you may still be able to configure them manually if they allow IPFIX exports) whereas eBPF is expected to work regardless the running CNI. + +- Sampling (`spec.ipfix.sampling` and `spec.ebpf.sampling`): 24/7 unsampled flow collection may consume a non-negligible amount of resources. While we are doing our best to make it a viable option in production, it is still often necessary to mitigate by setting a sampling ratio. A value of `100` means: one flow every 100 is sampled. `1` means no sampling. The lower it is, the more accurate are flows and derived metrics. + +- Loki (`spec.loki`): configure here how to reach Loki. The default values match the Loki quick install paths mentioned in the _Getting Started_ section, but you may have to configure differently if you used another installation method. + +- Kafka (`spec.kafka`): _experimental_ - when enabled, integrate the flow collection pipeline with Kafka, by splitting ingestion from transformation (kube enrichment, derived metrics, ...). Assumes Kafka is already deployed and a topic is created. For convenience, we provide a quick deployment using [strimzi](https://strimzi.io/): run `make deploy-kafka` from the repository. + + +## Understanding the deployed components + +TODO + +## Development / contributing + +Please refer to [this documentation](./DEVELOPMENT.md) for everything related to building, deploying or bundling from sources. -## Publish on central OperatorHub +## F.A.Q / Troubleshooting -See [RELEASE.md](./RELEASE.md#publishing-on-operatorhub). +If you can't find help here, don't hesitate to open [an issue](https://github.com/netobserv/network-observability-operator/issues) or a [Q&A](https://github.com/netobserv/network-observability-operator/discussions/categories/q-a). There are several repositories under _netobserv_ github org, but it is fine to centralize these in _network-observability-operator_. -## FlowCollector custom resource +### Is it for OpenShift only? -The `FlowCollector` custom resource is used to configure the operator and its managed components. You can read its [full documentation](https://github.com/netobserv/network-observability-operator/blob/main/docs/FlowCollector.md) and check this [sample file](./config/samples/flows_v1alpha1_flowcollector.yaml) that you can copy, edit and install. +No! While some features are developed primarily for OpenShift, we want to keep it on track with other / "vanilla" Kubes. For instance, there has been some work to make the console plugin [run as a standalone](https://github.com/netobserv/network-observability-console-plugin/pull/163), or the operator to manage upstream (non-OpenShift) [ovn-kubernetes](https://github.com/netobserv/network-observability-operator/pull/97). -Note that the `FlowCollector` resource must be unique and must be named `cluster`. It applies to the whole cluster. +And if something is not working as hoped with your setup, you are welcome to contribute to the project ;-) -## Enabling OVS IPFIX export +### Which version of Kubernetes / OpenShift is supported? -If you use OpenShift 4.10 or the upstream ovn-kubernetes without OpenShift, you don't have anything to do: the operator will configure OVS *via* OpenShift Cluster Network Operator, or the ovn-kubernetes layer directly. +It depends on which `agent` you want to use: `ebpf` or `ipfix`, and whether you want to get the OpenShift Console plugin. -Else if you use OpenShift 4.8 or 4.9, some manual steps are still required +#### To run the eBPF agent + +What matters is the version of the Linux kernel. +TODO: precisions +Other than that, there are no known restrictions (yet?) on the Kubernetes version. + +#### To use IPFIX exports + +OpenShift 4.10 or above, or upstream OVN-Kubernetes [TODO: upstream version?] are recommended, as the operator will configure OVS for you. Else, you need to configure it manually. + +For OpenShift 4.8 or 4.9: + +* Configure `spec.flowlogsPipeline.kind` to be `Deployment` +* Run the following: ```bash -FLP_IP=`oc get svc flowlogs-pipeline -n network-observability -ojsonpath='{.spec.clusterIP}'` && echo $FLP_IP -oc patch networks.operator.openshift.io cluster --type='json' -p "[{'op': 'add', 'path': '/spec', 'value': {'exportNetworkFlows': {'ipfix': { 'collectors': ['$FLP_IP:2055']}}}}]" +FLP_IP=`kubectl get svc flowlogs-pipeline -n network-observability -ojsonpath='{.spec.clusterIP}'` && echo $FLP_IP +kubectl patch networks.operator.openshift.io cluster --type='json' -p "[{'op': 'add', 'path': '/spec', 'value': {'exportNetworkFlows': {'ipfix': { 'collectors': ['$FLP_IP:2055']}}}}]" ``` OpenShift versions older than 4.8 don't support IPFIX exports. -## Installing Loki +For other CNIs, you need to find out if they can export IPFIX, and configure them accordingly. + +#### To get the OpenShift Console plugin + +OpenShift 4.10 or above is required. + +### How can I make sure everything is correctly deployed? -Loki is used to store the flows, however its installation is not managed directly by the operator. There are several options to install Loki, like using the `loki-operator` or the helm charts. Get some help about it on [this page](https://github.com/netobserv/documents/blob/main/hack_loki.md). +Make sure all pods are up and running: -Once Loki is setup, you may have to update the `flowcollector` CR to update the Loki URL (use an URL that is accessible in-cluster by the `flowlogs-pipeline` pods; default is `http://loki:3100/`). +```bash +# Assuming configured namespace is network-observability (default) +kubectl get pods -n network-observability +``` + +Should provide results similar to this: + +``` +NAME READY STATUS RESTARTS AGE +flowlogs-pipeline-5rrg2 1/1 Running 0 43m +flowlogs-pipeline-cp2lb 1/1 Running 0 43m +flowlogs-pipeline-hmwxd 1/1 Running 0 43m +flowlogs-pipeline-wmx4z 1/1 Running 0 43m +grafana-6dbddc9869-sxn62 1/1 Running 0 31m +loki 1/1 Running 0 43m +netobserv-controller-manager-7487d87dc-2ltq2 2/2 Running 0 43m +network-observability-plugin-7fb8c5477b-drg2z 1/1 Running 0 43m +``` -## Installing Kafka +Results may slighlty differ depending on the installation method and the `FlowCollector` configuration. At least you should see `flowlogs-pipeline` pods in a `Running` state. -Kafka can be used to separate flows ingestion from flows transformation. The operator does not manage kafka deployment and topic creation. If you deployed the NOO from the repository, we provide a quick setup for kafka using the [strimzi operator](https://strimzi.io/). +If you use the eBPF agent in privileged mode (`spec.ebpf.privileged=true`), check also for pods in privileged namespace: ```bash -make deploy-kafka +# Assuming configured namespace is network-observability (default) +kubectl get pods -n network-observability-privileged +``` + ``` +NAME READY STATUS RESTARTS AGE +netobserv-ebpf-agent-7rwtk 1/1 Running 0 7s +netobserv-ebpf-agent-c7nkv 1/1 Running 0 7s +netobserv-ebpf-agent-hbjz8 1/1 Running 0 7s +netobserv-ebpf-agent-ldj66 1/1 Running 0 7s -Kafka can then be enabled in the `flowcollector` CR. If Kafka was deployed using the Makefile, switching the kafka.enable flag to true in the sample file should be enough. Otherwise, kafka address and topic name should be configured. +``` + +Finally, make sure Loki is correctly deployed, and reachable from pods via the URL defined in `spec.loki.url`. + +### Everything seems correctly deployed but there isn't any flow showing up + +Wait 10 minutes and check again. When `spec.agent` is `ipfix`, there is sometimes a delay, up to 10 minutes, before the flows appear. This is due to the IPFIX protocol requiring exporter and collector to exchange record template definitions as a preliminary step. The eBPF agent doesn't have such delay. + +### I've waited 10 minutes: still nothing + +Make sure there are no errors in `flowlogs-pipeline` pods log. +(TODO / TO CONTINUE) + + +### There are no new dashboards in the OpenShift Console -## OpenShift Console plugin +Make sure your cluster version is at least OpenShift 4.10: prior versions have no (or incompatible) console plugin SDK. -The operator deploys a console dynamic plugin when used in OpenShift, and should register it automatically if `spec.consolePlugin.register` is set to `true` (default). +Make sure that `spec.consolePlugin.register` is set to `true` (default). -If it's set to `false`, or if for any reason the registration failed, you can still do it manually by editing -`console.operator.openshift.io/cluster` to add the plugin reference: +If not, or if for any reason the registration seems to have failed, you can still do it manually by editing the Console Operator config: + +```bash +kubectl edit console.operator.openshift.io cluster +``` + +If it's not already there, add the plugin reference: ```yaml spec: @@ -150,24 +229,22 @@ spec: - network-observability-plugin ``` -Or simply execute: +If the new dashboards still don't show up, try clearing your browser cache and refreshing. Check also the `netobserv-console-plugin-...` pod status and logs. ```bash -oc patch console.operator.openshift.io cluster --type='json' -p '[{"op": "add", "path": "/spec/plugins/-", "value": "network-observability-plugin"}]' +kubectl get pods -n network-observability -l app=network-observability-plugin +kubectl logs -n network-observability -l app=network-observability-plugin ``` -The plugin provides new views in the OpenShift Console: a new submenu _Network Traffic_ in _Observe_, and new tabs in several details views (Pods, Deployments, Services...). +## Contributions -![Main view](./docs/assets/network-traffic-main.png) -_Main view_ +This project is licensed under [Apache 2.0](./LICENSE) and accepts contributions via GitHub pull requests. Other related `netobserv` projects follow the same rules: +- [Flowlogs-pipeline](https://github.com/netobserv/flowlogs-pipeline) +- The [eBPF agent](https://github.com/netobserv/netobserv-ebpf-agent) +- The [OpenShift Console plugin](https://github.com/netobserv/network-observability-console-plugin) -![Pod traffic](./docs/assets/network-traffic-pod.png) -_Pod traffic_ -### Grafana dashboard +External contributions are welcome and can take various forms: -Grafana can be used to retrieve and show the collected flows from Loki. You can [find here](https://github.com/netobserv/documents/blob/main/hack_loki.md#grafana) some help to install Grafana if needed. - -Then import [this dashboard](./config/samples/dashboards/Network%20Observability.json) in Grafana. It includes a table of the flows and some graphs showing the volumetry per source or destination namespaces or workload: - -![Grafana dashboard](./docs/assets/netobserv-grafana-dashboard.png) +- Providing feedback, by starting [discussions](https://github.com/netobserv/network-observability-operator/discussions) or opening [issues](https://github.com/netobserv/network-observability-operator/issues). +- Code / doc contributions. You will [find here](./DEVELOPMENT.md) some help on how to build, run and test your code changes. 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z+DPd@eYv{->5=@*%uDy$6OjdWFg0m>Eegdg+RDIkI@QYI zCGFq8IWyd(V?mtIxFm;FmG+uiYrl$HxB_4(dG Date: Tue, 21 Jun 2022 14:45:18 +0200 Subject: [PATCH 2/7] update development guide --- DEVELOPMENT.md | 126 ++++++++++++++++++------------------------------- README.md | 1 - 2 files changed, 46 insertions(+), 81 deletions(-) diff --git a/DEVELOPMENT.md b/DEVELOPMENT.md index 56612dfb8..92d3aee51 100644 --- a/DEVELOPMENT.md +++ b/DEVELOPMENT.md @@ -1,46 +1,68 @@ -# Development & Contributing +The NetObserv operator is meant to run in a Kubernetes cluster like OpenShift or KIND (these are the two options most used by the dev team). -## Deploy an existing image +## Build / format / lint the code, run unit tests -Images are built and pushed through CI to [quay.io](https://quay.io/repository/netobserv/network-observability-operator?tab=tags). +```bash +make build test +``` -The operator isn't yet bundled for OLM or Openshift Operator Hub, so you need to clone this repo and deploy from there at the moment. +## Build and deploy a Docker image -To refer to the latest version of the `main` branch, use `IMG=quay.io/netobserv/network-observability-operator:main` or simply `VERSION=main`. To refer to older versions, use the commit short-SHA as the image tag. By default, `main` will be used. +A way to test code changes is to build a Docker image from local sources, push it to your own Docker repository and deploy it to an existing cluster: -E.g. to deploy the latest build: +(replace `quay.io/youraccount` with your own registry and account) ```bash -make deploy +IMG="quay.io/youraccount/network-observability-operator:test" make image-build image-push deploy ``` -You must then install the custom resource, e.g.: +After the operator is deployed, you need to setup Loki (the flows store) install a `FlowCollector` custom resource (which stands for the operator configuration), and optionnally install Grafana. + +We provide a quick & easy way to deploy Loki (not for production use), Grafana and a `FlowCollector` with default values: ```bash -kubectl apply -f ./config/samples/flows_v1alpha1_flowcollector.yaml +make deploy-loki deploy-grafana deploy-sample-cr ``` -## Build / push / deploy +It will set up local port-forward to Grafana and Loki. To avoid it, pass `PORT_FWD=false` with the command above. + +Creating a `FlowCollector` triggers the operator deploying the monitoring pipeline: + +- Configures IPFIX exports +- Deploys the flow collector pods, `flowlogs-pipeline` +- Deploys the `network-observability-plugin` for OpenShift console (when used in OpenShift) + +You should shortly see flows coming in Grafana or the OpenShift Console ([if not, wait at least 10 minutes](./README.md#faq--troubleshooting)). -The repository `quay.io/netobserv/network-observability-operator` is only writable by the CI, so you need to use another repository (such as your own one) if you want to use your own build. +### Test another one's pull request -For instance, to build from a pull-request, checkout that PR (e.g. using github CLI or `git fetch upstream pull/99/head:pr-99 && git checkout pr-99` (replace `99` with the PR ID)), then run: +To test a pull request opened by someone else, you just need to pull it locally. Using [GitHub CLI](https://cli.github.com/) is an easy way to do it. Then repeat the steps mentioned above to build, push an image, then deploy the operator and its custom resource. + +## Deploy a specific image + +Images are built and pushed through CI to [quay.io](https://quay.io/repository/netobserv/network-observability-operator?tab=tags). + +You can refer to existing commits using their short-SHA as the image tag, or refer to existing releases. E.g: ```bash -IMG="quay.io/youraccount/network-observability-operator:v0.0.1" make image-build image-push deploy +# By commit SHA +VERSION="960766c" make deploy +# By release +VERSION="0.1.2" make deploy ``` -Note, the default image pull policy is `IfNotPresent`, so if you previously deployed the operator on a cluster and then create another build with the same image name/tag, it won't be pulled in the cluster registry. So you need either to provide a different image name/tag for every build, or modify [manager.yaml](./config/manager/manager.yaml) to set `imagePullPolicy: Always`, then re-deploy. +Beware that, by referring to an old image, you increase chances to hit breaking changes with the other underlying components, such as [Flowlogs-pipeline](https://github.com/netobserv/flowlogs-pipeline). You can figure out which components version matches operator version by going to the [OperatorHub page](https://operatorhub.io/operator/netobserv-operator), selecting the corresponding operator version and inspecting the provided sample YAML (it contains a reference to the versioned image for each component). -Then, you can deploy a custom resource, e.g.: +## Installing Kafka -```bash -kubectl apply -f ./config/samples/flows_v1alpha1_flowcollector.yaml +Kafka can be used to separate flows ingestion from flows transformation. The operator does not manage kafka deployment and topic creation. If you deployed from the repository, we provide a quick setup for Kafka using the [strimzi operator](https://strimzi.io/). -# or using make -make deploy-sample-cr +```bash +make deploy-kafka ``` +Kafka can then be enabled in the `FlowCollector` CR. If Kafka was deployed using the Makefile, switching the `kafka.enable` flag to `true` in the sample file should be enough. Otherwise, kafka address and topic name should be configured. + ## Deploy as bundle For more details, refer to the [Operator Lifecycle Manager (OLM) bundle quickstart documentation](https://sdk.operatorframework.io/docs/olm-integration/quickstart-bundle/). @@ -48,7 +70,7 @@ For more details, refer to the [Operator Lifecycle Manager (OLM) bundle quicksta This task should be automatically done by the CI/CD pipeline. However, if you want to deploy as bundle for local testing, you should execute the following commands: -``` +```bash export USER= export VERSION=0.0.1 export IMG=quay.io/$USER/network-observability-operator:v$VERSION @@ -58,7 +80,8 @@ make bundle bundle-build bundle-push ``` Optionally, you might validate the bundle: -``` + +```bash operator-sdk bundle validate $BUNDLE_IMG ``` @@ -68,7 +91,7 @@ Note: the base64 logo can be generated with: `base64 -w 0 ` This mode is recommended to quickly test the operator during its development: -``` +```bash operator-sdk run bundle $BUNDLE_IMG ``` @@ -79,7 +102,7 @@ operators' catalog and installing/configuring it manually through the UI. First, create and push a catalog image: -``` +```bash export CATALOG_IMG=quay.io/$USER/network-observability-operator-catalog:v$VERSION make catalog-build catalog-push catalog-deploy ``` @@ -89,60 +112,3 @@ The NetObserv Operator is available in OperatorHub: https://operatorhub.io/opera ## Publish on central OperatorHub See [RELEASE.md](./RELEASE.md#publishing-on-operatorhub). - -## FlowCollector custom resource - -The `FlowCollector` custom resource is used to configure the operator and its managed components. You can read its [full documentation](https://github.com/netobserv/network-observability-operator/blob/main/docs/FlowCollector.md) and check this [sample file](./config/samples/flows_v1alpha1_flowcollector.yaml) that you can copy, edit and install. - -Note that the `FlowCollector` resource must be unique and must be named `cluster`. It applies to the whole cluster. - -## Installing Loki - -Loki is used to store the flows, however its installation is not managed directly by the operator. There are several options to install Loki, like using the `loki-operator` or the helm charts. Get some help about it on [this page](https://github.com/netobserv/documents/blob/main/hack_loki.md). - -Once Loki is setup, you may have to update the `flowcollector` CR to update the Loki URL (use an URL that is accessible in-cluster by the `flowlogs-pipeline` pods; default is `http://loki:3100/`). - -## Installing Kafka - -Kafka can be used to separate flows ingestion from flows transformation. The operator does not manage kafka deployment and topic creation. If you deployed the NOO from the repository, we provide a quick setup for kafka using the [strimzi operator](https://strimzi.io/). - -```bash -make deploy-kafka -``` - -Kafka can then be enabled in the `flowcollector` CR. If Kafka was deployed using the Makefile, switching the kafka.enable flag to true in the sample file should be enough. Otherwise, kafka address and topic name should be configured. - -## OpenShift Console plugin - -The operator deploys a console dynamic plugin when used in OpenShift, and should register it automatically if `spec.consolePlugin.register` is set to `true` (default). - -If it's set to `false`, or if for any reason the registration failed, you can still do it manually by editing -`console.operator.openshift.io/cluster` to add the plugin reference: - -```yaml -spec: - plugins: - - network-observability-plugin -``` - -Or simply execute: - -```bash -oc patch console.operator.openshift.io cluster --type='json' -p '[{"op": "add", "path": "/spec/plugins/-", "value": "network-observability-plugin"}]' -``` - -The plugin provides new views in the OpenShift Console: a new submenu _Network Traffic_ in _Observe_, and new tabs in several details views (Pods, Deployments, Services...). - -![Main view](./docs/assets/network-traffic-main.png) -_Main view_ - -![Pod traffic](./docs/assets/network-traffic-pod.png) -_Pod traffic_ - -### Grafana dashboard - -Grafana can be used to retrieve and show the collected flows from Loki. You can [find here](https://github.com/netobserv/documents/blob/main/hack_loki.md#grafana) some help to install Grafana if needed. - -Then import [this dashboard](./config/samples/dashboards/Network%20Observability.json) in Grafana. It includes a table of the flows and some graphs showing the volumetry per source or destination namespaces or workload: - -![Grafana dashboard](./docs/assets/netobserv-grafana-dashboard.png) diff --git a/README.md b/README.md index 10aa9cd48..06c5eea66 100644 --- a/README.md +++ b/README.md @@ -243,7 +243,6 @@ This project is licensed under [Apache 2.0](./LICENSE) and accepts contributions - The [eBPF agent](https://github.com/netobserv/netobserv-ebpf-agent) - The [OpenShift Console plugin](https://github.com/netobserv/network-observability-console-plugin) - External contributions are welcome and can take various forms: - Providing feedback, by starting [discussions](https://github.com/netobserv/network-observability-operator/discussions) or opening [issues](https://github.com/netobserv/network-observability-operator/issues). From 9ea3ab5974eb1a4830184f9bd145988b787aa164 Mon Sep 17 00:00:00 2001 From: Joel Takvorian Date: Tue, 21 Jun 2022 15:48:04 +0200 Subject: [PATCH 3/7] older versions deployment --- .mk/sample.mk | 8 ++++++-- DEVELOPMENT.md | 4 ++-- README.md | 24 ++++++++++++++++-------- 3 files changed, 24 insertions(+), 12 deletions(-) diff --git a/.mk/sample.mk b/.mk/sample.mk index b5256b3a4..05c89bf9a 100644 --- a/.mk/sample.mk +++ b/.mk/sample.mk @@ -2,13 +2,17 @@ .PHONY: deploy-sample-cr deploy-sample-cr: @echo -e "\n==> Deploy sample CR" - sed -e 's~:main~:$(VERSION)~' ./config/samples/flows_v1alpha1_flowcollector.yaml | kubectl apply -f - || true +ifeq (main,$(VERSION)) + kubectl apply -f ./config/samples/flows_v1alpha1_flowcollector.yaml || true +else + kubectl apply -f ./config/samples/flows_v1alpha1_flowcollector_versioned.yaml || true +endif # Undeploy the sample FlowCollector CR .PHONY: undeploy-sample-cr undeploy-sample-cr: @echo -e "\n==> Undeploy sample CR" - sed -e 's~:main~:$(VERSION)~' ./config/samples/flows_v1alpha1_flowcollector.yaml | kubectl --ignore-not-found=true delete -f - || true + kubectl --ignore-not-found=true delete flowcollector cluster || true # Deploy sample workload .PHONY: deploy-sample-workload diff --git a/DEVELOPMENT.md b/DEVELOPMENT.md index 92d3aee51..4a423186a 100644 --- a/DEVELOPMENT.md +++ b/DEVELOPMENT.md @@ -51,7 +51,7 @@ VERSION="960766c" make deploy VERSION="0.1.2" make deploy ``` -Beware that, by referring to an old image, you increase chances to hit breaking changes with the other underlying components, such as [Flowlogs-pipeline](https://github.com/netobserv/flowlogs-pipeline). You can figure out which components version matches operator version by going to the [OperatorHub page](https://operatorhub.io/operator/netobserv-operator), selecting the corresponding operator version and inspecting the provided sample YAML (it contains a reference to the versioned image for each component). +Beware that, by referring to an old image, you increase chances to hit breaking changes with the other underlying components, such as [Flowlogs-pipeline](https://github.com/netobserv/flowlogs-pipeline). It is recommended to switch to the corresponding release GIT tag before deploying an old version, to make sure underlying components refer to correct versions. ## Installing Kafka @@ -85,7 +85,7 @@ Optionally, you might validate the bundle: operator-sdk bundle validate $BUNDLE_IMG ``` -Note: the base64 logo can be generated with: `base64 -w 0 ` +> Note: the base64 logo can be generated with: `base64 -w 0 ` ### Deploy as bundle from command line diff --git a/README.md b/README.md index 06c5eea66..4161b48cd 100644 --- a/README.md +++ b/README.md @@ -16,7 +16,7 @@ After the operator is installed, create a `FlowCollector` resource: ![OpenShift OperatorHub FlowCollector](./docs/assets/operatorhub-flowcollector.png) -Note: if you are not using [OVN-Kubernetes](https://github.com/ovn-org/ovn-kubernetes/) CNI, we recommend using `ebpf` as the `agent`, rather than `ipfix` (unless you know what you do). NetObserv will automatically configure OVN-Kubernetes for IPFIX exports, but cannot do such with other CNIs. +> Note: if you are not using [OVN-Kubernetes](https://github.com/ovn-org/ovn-kubernetes/) CNI, we recommend using `ebpf` as the `agent`, rather than `ipfix` (unless you know what you do). NetObserv will automatically configure OVN-Kubernetes for IPFIX exports, but cannot do such with other CNIs. ### Install from repository @@ -27,13 +27,9 @@ git clone https://github.com/netobserv/network-observability-operator.git && cd make deploy deploy-loki deploy-grafana ``` -It will deploy the operator in its latest version, with port-forwarded Loki and Grafana. To deploy a specific version, add a `VERSION` env to the above make command, e.g: +It will deploy the operator in its latest version, with port-forwarded Loki and Grafana. -```bash -VERSION=0.1.2 make deploy deploy-loki deploy-grafana -``` - -Note: this `loki-deploy` script is provided as a quick install path, it is not suitable for production. Please refer to [the official documentation](https://grafana.com/docs/loki/latest/) for a clean install. +> Note: the `loki-deploy` script is provided as a quick install path, it is not suitable for production. Please refer to [the official documentation](https://grafana.com/docs/loki/latest/) for a clean install. To deploy the monitoring pipeline, this `make` target installs a `FlowCollector` with default values: @@ -43,7 +39,7 @@ make deploy-sample-cr Alternatively, you can [grab and edit](./config/samples/flows_v1alpha1_flowcollector.yaml) this config before installing it. -Note: if you are not using [OVN-Kubernetes](https://github.com/ovn-org/ovn-kubernetes/) CNI, we recommend using `ebpf` as `spec.agent`, rather than `ipfix` (unless you know what you do). NetObserv will automatically configure OVN-Kubernetes for IPFIX exports, but cannot do such with other CNIs. +> Note: if you are not using [OVN-Kubernetes](https://github.com/ovn-org/ovn-kubernetes/) CNI, we recommend using `ebpf` as `spec.agent`, rather than `ipfix` (unless you know what you do). NetObserv will automatically configure OVN-Kubernetes for IPFIX exports, but cannot do such with other CNIs. You can still edit the `FlowCollector` after it's installed: the operator will take care about reconciling everything with the updated configuration: @@ -51,6 +47,18 @@ You can still edit the `FlowCollector` after it's installed: the operator will t kubectl edit flowcollector cluster ``` +#### Install older versions + +To deploy a specific version of the operator, you need to switch to the related git branch, then add a `VERSION` env to the above make command, e.g: + +```bash +git checkout 0.1.2 +VERSION=0.1.2 make deploy deploy-loki deploy-grafana +kubectl apply -f ./config/samples/flows_v1alpha1_flowcollector_versioned.yaml +``` + +Beware that the version of the underlying components, such as flowlogs-pipeline, may be tied to the version of the operator. Breaking this correlation may result in crashes. The versions of the underlying components are defined in the `FlowCollector` resource as image tags. + ### OpenShift Console _Pre-requisite: OpenShift 4.10 or above_ From a92495c3e42e1f66dd39d3304f6b9c97776d3518 Mon Sep 17 00:00:00 2001 From: Joel Takvorian Date: Tue, 21 Jun 2022 16:06:47 +0200 Subject: [PATCH 4/7] typos --- DEVELOPMENT.md | 8 ++++---- README.md | 6 +++--- 2 files changed, 7 insertions(+), 7 deletions(-) diff --git a/DEVELOPMENT.md b/DEVELOPMENT.md index 4a423186a..40c312d94 100644 --- a/DEVELOPMENT.md +++ b/DEVELOPMENT.md @@ -16,7 +16,7 @@ A way to test code changes is to build a Docker image from local sources, push i IMG="quay.io/youraccount/network-observability-operator:test" make image-build image-push deploy ``` -After the operator is deployed, you need to setup Loki (the flows store) install a `FlowCollector` custom resource (which stands for the operator configuration), and optionnally install Grafana. +After the operator is deployed, you need to set up Loki (the flows store), install a `FlowCollector` custom resource (which stands for the operator configuration), and optionally install Grafana. We provide a quick & easy way to deploy Loki (not for production use), Grafana and a `FlowCollector` with default values: @@ -24,7 +24,7 @@ We provide a quick & easy way to deploy Loki (not for production use), Grafana a make deploy-loki deploy-grafana deploy-sample-cr ``` -It will set up local port-forward to Grafana and Loki. To avoid it, pass `PORT_FWD=false` with the command above. +It will set up a local port-forward to Grafana and Loki. To avoid it, pass `PORT_FWD=false` with the command above. Creating a `FlowCollector` triggers the operator deploying the monitoring pipeline: @@ -55,13 +55,13 @@ Beware that, by referring to an old image, you increase chances to hit breaking ## Installing Kafka -Kafka can be used to separate flows ingestion from flows transformation. The operator does not manage kafka deployment and topic creation. If you deployed from the repository, we provide a quick setup for Kafka using the [strimzi operator](https://strimzi.io/). +Kafka can be used to separate flow ingestion from flow transformation. The operator does not manage kafka deployment and topic creation. We provide a quick setup for Kafka using the [strimzi operator](https://strimzi.io/). ```bash make deploy-kafka ``` -Kafka can then be enabled in the `FlowCollector` CR. If Kafka was deployed using the Makefile, switching the `kafka.enable` flag to `true` in the sample file should be enough. Otherwise, kafka address and topic name should be configured. +Kafka can then be enabled in the `FlowCollector` CR. If Kafka was deployed using the Makefile, switching the `kafka.enable` flag to `true` in the sample file should be enough. Otherwise, the Kafka address and topic name should be configured. ## Deploy as bundle diff --git a/README.md b/README.md index 4161b48cd..c71f18735 100644 --- a/README.md +++ b/README.md @@ -57,7 +57,7 @@ VERSION=0.1.2 make deploy deploy-loki deploy-grafana kubectl apply -f ./config/samples/flows_v1alpha1_flowcollector_versioned.yaml ``` -Beware that the version of the underlying components, such as flowlogs-pipeline, may be tied to the version of the operator. Breaking this correlation may result in crashes. The versions of the underlying components are defined in the `FlowCollector` resource as image tags. +Beware that the version of the underlying components, such as flowlogs-pipeline, may be tied to the version of the operator (this is why we recommend switching the git branch). Breaking this correlation may result in crashes. The versions of the underlying components are defined in the `FlowCollector` resource as image tags. ### OpenShift Console @@ -187,7 +187,7 @@ netobserv-controller-manager-7487d87dc-2ltq2 2/2 Running 0 43m network-observability-plugin-7fb8c5477b-drg2z 1/1 Running 0 43m ``` -Results may slighlty differ depending on the installation method and the `FlowCollector` configuration. At least you should see `flowlogs-pipeline` pods in a `Running` state. +Results may slightly differ depending on the installation method and the `FlowCollector` configuration. At least you should see `flowlogs-pipeline` pods in a `Running` state. If you use the eBPF agent in privileged mode (`spec.ebpf.privileged=true`), check also for pods in privileged namespace: @@ -209,7 +209,7 @@ Finally, make sure Loki is correctly deployed, and reachable from pods via the U ### Everything seems correctly deployed but there isn't any flow showing up -Wait 10 minutes and check again. When `spec.agent` is `ipfix`, there is sometimes a delay, up to 10 minutes, before the flows appear. This is due to the IPFIX protocol requiring exporter and collector to exchange record template definitions as a preliminary step. The eBPF agent doesn't have such delay. +Wait 10 minutes and check again. When `spec.agent` is `ipfix`, there is sometimes a delay, up to 10 minutes, before the flows appear. This is due to the IPFIX protocol requiring exporter and collector to exchange record template definitions as a preliminary step. The eBPF agent doesn't have such a delay. ### I've waited 10 minutes: still nothing From e97397406678008926806f69862efedb80f4ccd8 Mon Sep 17 00:00:00 2001 From: Joel Takvorian Date: Tue, 21 Jun 2022 18:13:26 +0200 Subject: [PATCH 5/7] Fix todo / remove incomplete sections --- README.md | 21 +++++---------------- 1 file changed, 5 insertions(+), 16 deletions(-) diff --git a/README.md b/README.md index c71f18735..2facc8253 100644 --- a/README.md +++ b/README.md @@ -113,12 +113,7 @@ A couple of settings deserve special attention: - Kafka (`spec.kafka`): _experimental_ - when enabled, integrate the flow collection pipeline with Kafka, by splitting ingestion from transformation (kube enrichment, derived metrics, ...). Assumes Kafka is already deployed and a topic is created. For convenience, we provide a quick deployment using [strimzi](https://strimzi.io/): run `make deploy-kafka` from the repository. - -## Understanding the deployed components - -TODO - -## Development / contributing +## Development & building from sources Please refer to [this documentation](./DEVELOPMENT.md) for everything related to building, deploying or bundling from sources. @@ -138,13 +133,13 @@ It depends on which `agent` you want to use: `ebpf` or `ipfix`, and whether you #### To run the eBPF agent -What matters is the version of the Linux kernel. -TODO: precisions -Other than that, there are no known restrictions (yet?) on the Kubernetes version. +What matters is the version of the Linux kernel: 4.18 or more is supported. Earlier versions are not tested. + +Other than that, there are no known restrictions yet on the Kubernetes version. #### To use IPFIX exports -OpenShift 4.10 or above, or upstream OVN-Kubernetes [TODO: upstream version?] are recommended, as the operator will configure OVS for you. Else, you need to configure it manually. +OpenShift 4.10 or above, or upstream OVN-Kubernetes, are recommended, as the operator will configure OVS for you. Else, you need to configure it manually. For OpenShift 4.8 or 4.9: @@ -211,12 +206,6 @@ Finally, make sure Loki is correctly deployed, and reachable from pods via the U Wait 10 minutes and check again. When `spec.agent` is `ipfix`, there is sometimes a delay, up to 10 minutes, before the flows appear. This is due to the IPFIX protocol requiring exporter and collector to exchange record template definitions as a preliminary step. The eBPF agent doesn't have such a delay. -### I've waited 10 minutes: still nothing - -Make sure there are no errors in `flowlogs-pipeline` pods log. -(TODO / TO CONTINUE) - - ### There are no new dashboards in the OpenShift Console Make sure your cluster version is at least OpenShift 4.10: prior versions have no (or incompatible) console plugin SDK. From 4334aadaa579fae1bc5437ff60faec879429e823 Mon Sep 17 00:00:00 2001 From: Joel Takvorian Date: Wed, 22 Jun 2022 11:21:45 +0200 Subject: [PATCH 6/7] Doc: integrate steven's comments --- DEVELOPMENT.md | 22 ++++++++++------------ README.md | 38 +++++++++++++++++++++----------------- 2 files changed, 31 insertions(+), 29 deletions(-) diff --git a/DEVELOPMENT.md b/DEVELOPMENT.md index 40c312d94..852936f27 100644 --- a/DEVELOPMENT.md +++ b/DEVELOPMENT.md @@ -1,4 +1,4 @@ -The NetObserv operator is meant to run in a Kubernetes cluster like OpenShift or KIND (these are the two options most used by the dev team). +The NetObserv Operator is meant to run in a Kubernetes cluster like OpenShift or [Kind](https://kind.sigs.k8s.io/). These are the two options most used by the development team. ## Build / format / lint the code, run unit tests @@ -8,31 +8,29 @@ make build test ## Build and deploy a Docker image -A way to test code changes is to build a Docker image from local sources, push it to your own Docker repository and deploy it to an existing cluster: - -(replace `quay.io/youraccount` with your own registry and account) +A way to test code changes is to build a Docker image from local sources, push it to your own Docker repository, and deploy it to an existing cluster. Do the following, but replace IMG value with your own registry and account: ```bash IMG="quay.io/youraccount/network-observability-operator:test" make image-build image-push deploy ``` -After the operator is deployed, you need to set up Loki (the flows store), install a `FlowCollector` custom resource (which stands for the operator configuration), and optionally install Grafana. +After the operator is deployed, set up Loki, which is used to store flows, install a `FlowCollector` custom resource to collect network flows, and optionally install Grafana to provide a user interface and dashboards. -We provide a quick & easy way to deploy Loki (not for production use), Grafana and a `FlowCollector` with default values: +This provides a quick and easy way to deploy Loki, Grafana and a `FlowCollector` with default values. Note this Loki setup is not for production use. ```bash make deploy-loki deploy-grafana deploy-sample-cr ``` -It will set up a local port-forward to Grafana and Loki. To avoid it, pass `PORT_FWD=false` with the command above. +It will run Loki and Grafana locally, and set up a local port-forward to them. To avoid this, add `PORT_FWD=false` to the command above. Creating a `FlowCollector` triggers the operator deploying the monitoring pipeline: - Configures IPFIX exports - Deploys the flow collector pods, `flowlogs-pipeline` -- Deploys the `network-observability-plugin` for OpenShift console (when used in OpenShift) +- Deploys the `network-observability-plugin` if using OpenShift Console -You should shortly see flows coming in Grafana or the OpenShift Console ([if not, wait at least 10 minutes](./README.md#faq--troubleshooting)). +You should be able to see flows in OpenShift Console and Grafana. If not, wait up to 10 minutes. See the [FAQ on troubleshooting](./README.md#faq--troubleshooting) for more information. ### Test another one's pull request @@ -51,7 +49,7 @@ VERSION="960766c" make deploy VERSION="0.1.2" make deploy ``` -Beware that, by referring to an old image, you increase chances to hit breaking changes with the other underlying components, such as [Flowlogs-pipeline](https://github.com/netobserv/flowlogs-pipeline). It is recommended to switch to the corresponding release GIT tag before deploying an old version, to make sure underlying components refer to correct versions. +It is recommended to switch to the corresponding release Git tag before deploying an old version to make sure the underlying components refer to the correct versions. ## Installing Kafka @@ -61,7 +59,7 @@ Kafka can be used to separate flow ingestion from flow transformation. The opera make deploy-kafka ``` -Kafka can then be enabled in the `FlowCollector` CR. If Kafka was deployed using the Makefile, switching the `kafka.enable` flag to `true` in the sample file should be enough. Otherwise, the Kafka address and topic name should be configured. +Kafka can then be enabled in the `FlowCollector` resource by setting `spec.kafka.enable` flag to `true`. If you use your own Kafka setup, make sure to configure `spec.kafka.address` and `spec.kafka.topic` accordingly. ## Deploy as bundle @@ -85,7 +83,7 @@ Optionally, you might validate the bundle: operator-sdk bundle validate $BUNDLE_IMG ``` -> Note: the base64 logo can be generated with: `base64 -w 0 ` +> Note: the base64 logo can be generated with: `base64 -w 0 `, then manually pasted in the [CSV manifest file](./config/manifests/bases/netobserv-operator.clusterserviceversion.yaml) under `spec.icon`. ### Deploy as bundle from command line diff --git a/README.md b/README.md index 2facc8253..7af5bb1b4 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,8 @@ # NetObserv Operator -A Kubernetes / OpenShift operator for network observability. It deploys a flow monitoring pipeline based on an [eBPF agent](https://github.com/netobserv/netobserv-ebpf-agent/) or [IPFIX](https://en.wikipedia.org/wiki/IP_Flow_Information_Export) exports. It provides dashboards, metrics, and keeps flows accessible in a queryable log store: [Grafana Loki](https://grafana.com/oss/loki/). When used in OpenShift, new dashboards are available in the Console. +NetObserv Operator is a Kubernetes / OpenShift operator for network observability. It deploys a flow monitoring pipeline to collect network flows exported by an eBPF agent or by a device such as an [Open vSwitch](https://www.openvswitch.org/) (OVS), in IPFIX format. + +It provides dashboards, metrics, and keeps flows accessible in a queryable log store: [Grafana Loki](https://grafana.com/oss/loki/). When used in OpenShift, new dashboards are available in the Console. ## Getting Started @@ -8,7 +10,7 @@ You can install NetObserv Operator using [OLM](https://olm.operatorframework.io/ ### Install with OLM -NetObserv Operator is available in [OperatorHub](https://operatorhub.io/operator/netobserv-operator), just follow the guided steps. It is also available in the OperatorHub catalog directly in the OpenShift Console. +NetObserv Operator is available in [OperatorHub](https://operatorhub.io/operator/netobserv-operator) with guided steps on how to install this. It is also available in the OperatorHub catalog directly in the OpenShift Console. ![OpenShift OperatorHub search](./docs/assets/operatorhub-search.png) @@ -16,7 +18,9 @@ After the operator is installed, create a `FlowCollector` resource: ![OpenShift OperatorHub FlowCollector](./docs/assets/operatorhub-flowcollector.png) -> Note: if you are not using [OVN-Kubernetes](https://github.com/ovn-org/ovn-kubernetes/) CNI, we recommend using `ebpf` as the `agent`, rather than `ipfix` (unless you know what you do). NetObserv will automatically configure OVN-Kubernetes for IPFIX exports, but cannot do such with other CNIs. +> Note: by default, NetObserv configures [OVN-Kubernetes](https://github.com/ovn-org/ovn-kubernetes/) for IPFIX exports. If you are not using OVN-Kubernetes as your CNI, then configure `FlowCollector` to use the eBPF agent instead, unless you have a device such as an OVS in your network that you want to export IPFIX flows. To use the eBPF agent, set `Agent` to `ebpf`. + +Refer to the [Configuration section](#configuration) of this document. ### Install from repository @@ -29,7 +33,7 @@ make deploy deploy-loki deploy-grafana It will deploy the operator in its latest version, with port-forwarded Loki and Grafana. -> Note: the `loki-deploy` script is provided as a quick install path, it is not suitable for production. Please refer to [the official documentation](https://grafana.com/docs/loki/latest/) for a clean install. +> Note: the `loki-deploy` script is provided as a quick install path and is not suitable for production. Please refer to [the official documentation](https://grafana.com/docs/loki/latest/) for a clean install. To deploy the monitoring pipeline, this `make` target installs a `FlowCollector` with default values: @@ -39,7 +43,7 @@ make deploy-sample-cr Alternatively, you can [grab and edit](./config/samples/flows_v1alpha1_flowcollector.yaml) this config before installing it. -> Note: if you are not using [OVN-Kubernetes](https://github.com/ovn-org/ovn-kubernetes/) CNI, we recommend using `ebpf` as `spec.agent`, rather than `ipfix` (unless you know what you do). NetObserv will automatically configure OVN-Kubernetes for IPFIX exports, but cannot do such with other CNIs. +> Note: by default, NetObserv configures [OVN-Kubernetes](https://github.com/ovn-org/ovn-kubernetes/) for IPFIX exports. If you are not using OVN-Kubernetes as your CNI, then configure `FlowCollector` to use the eBPF agent instead, unless you have a device such as an OVS in your network that you want to export IPFIX flows. To use the eBPF agent, set `spec.agent` to `ebpf`. You can still edit the `FlowCollector` after it's installed: the operator will take care about reconciling everything with the updated configuration: @@ -47,6 +51,8 @@ You can still edit the `FlowCollector` after it's installed: the operator will t kubectl edit flowcollector cluster ``` +Refer to the [Configuration section](#configuration) of this document. + #### Install older versions To deploy a specific version of the operator, you need to switch to the related git branch, then add a `VERSION` env to the above make command, e.g: @@ -63,7 +69,7 @@ Beware that the version of the underlying components, such as flowlogs-pipeline, _Pre-requisite: OpenShift 4.10 or above_ -If the OpenShift Console is detected in the cluster, a console plugin is deployed when a `FlowCollector` is installed. It adds new dashboards to the console: +If the OpenShift Console is detected in the cluster, a console plugin is deployed when a `FlowCollector` is installed. It adds new views to the console: - A flow table, with powerful filtering and display options @@ -73,7 +79,7 @@ If the OpenShift Console is detected in the cluster, a console plugin is deploye ![Topology](./docs/assets/topology-main.png) -These dashboards are accessible directly from the main menu, and also as contextual tabs for any Pod, Deployment, Service (etc.) in their details page. +These views are accessible directly from the main menu, and also as contextual tabs for any Pod, Deployment, Service (etc.) in their details page. ![Contextual topology](./docs/assets/topology-deployment.png) @@ -83,11 +89,9 @@ _Coming soon_ ### Grafana -Grafana can be used to retrieve and show the collected flows from Loki. If you used the `make` commands provided above to install NetObserv from the repository, you should already have Grafana installed and configured. - -Else you can [find here](https://github.com/netobserv/documents/blob/main/hack_loki.md#grafana) some help to install Grafana if needed. +Grafana can be used to retrieve and show the collected flows from Loki. If you used the `make` commands provided above to install NetObserv from the repository, you should already have Grafana installed and configured with Loki data source. Otherwise, you can install Grafana by following the instructions [here](https://github.com/netobserv/documents/blob/main/hack_loki.md#grafana), and add a new Loki data source that matches your setup. If you used the provided quick install path for Loki, its access URL is `http://loki:3100`. -Then import [this dashboard](./config/samples/dashboards/Network%20Observability.json) in Grafana. It includes a table of the flows and some graphs showing the volumetry per source or destination namespaces or workload: +To get dashboards, import [this file](./config/samples/dashboards/Network%20Observability.json) into Grafana. It includes a table of the flows and some graphs showing the volumetry per source or destination namespaces or workload: ![Grafana dashboard](./docs/assets/netobserv-grafana-dashboard.png) @@ -101,13 +105,13 @@ To edit configuration in cluster, run: kubectl edit flowcollector cluster ``` -As it operates cluster-wide, only a single `FlowCollector` is needed and possible, and it has to be named `cluster`. +As it operates cluster-wide, only a single `FlowCollector` is allowed, and it has to be named `cluster`. A couple of settings deserve special attention: -- Agent (`spec.agent`) can be `ipfix` or `ebpf`. As mentioned above, the IPFIX option is fully functional when using OVN-Kubernetes CNI (other CNIs are not supported, but you may still be able to configure them manually if they allow IPFIX exports) whereas eBPF is expected to work regardless the running CNI. +- Agent (`spec.agent`) can be `ipfix` or `ebpf`. As mentioned above, the IPFIX option is fully functional when using OVN-Kubernetes CNI. Other CNIs are not supported, but you may still be able to configure them manually if they allow IPFIX exports, whereas eBPF is expected to work regardless of the running CNI. -- Sampling (`spec.ipfix.sampling` and `spec.ebpf.sampling`): 24/7 unsampled flow collection may consume a non-negligible amount of resources. While we are doing our best to make it a viable option in production, it is still often necessary to mitigate by setting a sampling ratio. A value of `100` means: one flow every 100 is sampled. `1` means no sampling. The lower it is, the more accurate are flows and derived metrics. +- Sampling (`spec.ipfix.sampling` and `spec.ebpf.sampling`): 24/7 unsampled flow collection may consume a non-negligible amount of resources. While we are doing our best to make it a viable option in production, it is still often necessary to mitigate by setting a sampling ratio. A value of `100` means: one flow every 100 is sampled. `1` means no sampling. The lower it is, the more accurate are flows and derived metrics. By default, sampling is set to 400 for IPFIX, and is disabled for eBPF. - Loki (`spec.loki`): configure here how to reach Loki. The default values match the Loki quick install paths mentioned in the _Getting Started_ section, but you may have to configure differently if you used another installation method. @@ -139,7 +143,7 @@ Other than that, there are no known restrictions yet on the Kubernetes version. #### To use IPFIX exports -OpenShift 4.10 or above, or upstream OVN-Kubernetes, are recommended, as the operator will configure OVS for you. Else, you need to configure it manually. +OpenShift 4.10 or above, or upstream OVN-Kubernetes, are recommended, as the operator will configure OVS for you. Otherwise, you need to configure it manually. For OpenShift 4.8 or 4.9: @@ -206,7 +210,7 @@ Finally, make sure Loki is correctly deployed, and reachable from pods via the U Wait 10 minutes and check again. When `spec.agent` is `ipfix`, there is sometimes a delay, up to 10 minutes, before the flows appear. This is due to the IPFIX protocol requiring exporter and collector to exchange record template definitions as a preliminary step. The eBPF agent doesn't have such a delay. -### There are no new dashboards in the OpenShift Console +### There is no Network Traffic menu entry in OpenShift Console Make sure your cluster version is at least OpenShift 4.10: prior versions have no (or incompatible) console plugin SDK. @@ -238,7 +242,7 @@ kubectl logs -n network-observability -l app=network-observability-plugin This project is licensed under [Apache 2.0](./LICENSE) and accepts contributions via GitHub pull requests. Other related `netobserv` projects follow the same rules: - [Flowlogs-pipeline](https://github.com/netobserv/flowlogs-pipeline) - The [eBPF agent](https://github.com/netobserv/netobserv-ebpf-agent) -- The [OpenShift Console plugin](https://github.com/netobserv/network-observability-console-plugin) +- [OpenShift Console plugin](https://github.com/netobserv/network-observability-console-plugin) External contributions are welcome and can take various forms: From 2e06e386a4e4be143345f3ed3552d9233f9e262c Mon Sep 17 00:00:00 2001 From: Joel Takvorian Date: Wed, 22 Jun 2022 21:14:00 +0200 Subject: [PATCH 7/7] Rename Views -> Pages and tabs --- README.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index 7af5bb1b4..a3f1e95a2 100644 --- a/README.md +++ b/README.md @@ -69,17 +69,17 @@ Beware that the version of the underlying components, such as flowlogs-pipeline, _Pre-requisite: OpenShift 4.10 or above_ -If the OpenShift Console is detected in the cluster, a console plugin is deployed when a `FlowCollector` is installed. It adds new views to the console: +If the OpenShift Console is detected in the cluster, a console plugin is deployed when a `FlowCollector` is installed. It adds new pages and tabs to the console: - A flow table, with powerful filtering and display options ![Flow table](./docs/assets/network-traffic-main.png) -- A topology view, with the same filtering options and several levels of aggregations (nodes, namespaces, owner controllers, pods). A side panel provides contextual insight and metrics. +- A network topology, with the same filtering options and several levels of aggregations (nodes, namespaces, owner controllers, pods). A side panel provides contextual insight and metrics. ![Topology](./docs/assets/topology-main.png) -These views are accessible directly from the main menu, and also as contextual tabs for any Pod, Deployment, Service (etc.) in their details page. +These components are accessible directly from the main menu, and also as contextual tabs for any Pod, Deployment, Service (etc.) in their details page. ![Contextual topology](./docs/assets/topology-deployment.png) @@ -241,7 +241,7 @@ kubectl logs -n network-observability -l app=network-observability-plugin This project is licensed under [Apache 2.0](./LICENSE) and accepts contributions via GitHub pull requests. Other related `netobserv` projects follow the same rules: - [Flowlogs-pipeline](https://github.com/netobserv/flowlogs-pipeline) -- The [eBPF agent](https://github.com/netobserv/netobserv-ebpf-agent) +- [eBPF agent](https://github.com/netobserv/netobserv-ebpf-agent) - [OpenShift Console plugin](https://github.com/netobserv/network-observability-console-plugin) External contributions are welcome and can take various forms:

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