Add blog post for OTel Operator Q&A

content/en/blog/2024/otel-operator-q-and-a/index.md

@@ -0,0 +1,340 @@
+---
+title: OTel Operator Q&A
+linkTitle: OTel Operator Q&A
+date: 2024-04-24
+author: >-
+  [Adriana Villela](https://github.com/avillela) (ServiceNow),
+
+canonical_url: https://adri-v.medium.com/81d63addbf92?
+cSpell:ignore: automagically mycollector
+---
+
+![Seattle's Mount Rainier rising about the clouds, as seen from an airplane. Photo by Adriana Villela](mount-rainier.jpg)
+
+The
+[OpenTelemetry (OTel) Operator](https://github.com/open-telemetry/opentelemetry-operator)
+is a
+[Kubernetes Operator](https://kubernetes.io/docs/concepts/extend-kubernetes/operator/)
+that manages OTel things for you in your Kubernetes cluster to make life a
+little easier. It does the following:
+
+- Manages deployment of the
+  [OpenTelemetry Collector](http://localhost:1313/docs/collector/), supported by
+  the
+  [`OpenTelemetryCollector`](https://github.com/open-telemetry/opentelemetry-operator?tab=readme-ov-file#getting-started)
+  [custom resource (CR)](https://kubernetes.io/docs/concepts/extend-kubernetes/api-extension/custom-resources/)
+- Manages the configuration of a fleet of OpenTelemetry Collectors via
+  [OpAMP](/docs/specs/opamp/) integration, supported by the
+  [`OpAMPBridge`](https://github.com/open-telemetry/opentelemetry-operator/blob/main/docs/api.md#opampbridge)
+  custom resource
+- Injects and configures
+  [auto-instrumentation](https://www.honeycomb.io/blog/what-is-auto-instrumentation)
+  into your pods, supported by the
+  [`Instrumentation`](https://github.com/open-telemetry/opentelemetry-operator?tab=readme-ov-file#opentelemetry-auto-instrumentation-injection)
+  custom resource
+
+I've had a chance to use the Operator in the last year, and learned some pretty
+cool things, so I thought it might be helpful to share some little OTel Operator
+goodies that I’ve picked up along the way, in the form of a Q&A.
+
+Please note that this post assumes that you have some familiarity with
+OpenTelemetry, the
+[OpenTelemetry Collector](http://localhost:1313/docs/collector/), the
+[OpenTelemetry Operator](https://github.com/open-telemetry/opentelemetry-operator)
+(including the
+[Target Allocator](https://adri-v.medium.com/prometheus-opentelemetry-better-together-41dc637f2292)),
+and [Kubernetes](https://kubernetes.io).
+
+## Q&A
+
+### Q1: Does the Operator support multiple Collector configuration sources?
+
+Short answer: no.
+
+Longer answer: OTel Collector can be fed more than one Collector config YAML
+file. That way, you can keep your base configurations in say,
+`otelcol-config.yaml`, and overrides or additions to the base configuration can
+go in say, `otelcol-config-extras.yaml`. You can see an example of this in the
+[OTel Demo’s Docker compose file](https://github.com/open-telemetry/opentelemetry-demo/blob/06f020c97f78ae9625d3a4a5d1107c55045c567f/docker-compose.yml#L665-L668).
+
+Unfortunately, while the OTel Collector supports multiple Collector
+configuration files, the Collector managed by the OTel Operator does not.
+
+To get around this, you could merge the multiple Collector configs through some
+external tool beforehand. For example, if you
+[were deploying the Operator via Helm](https://github.com/open-telemetry/opentelemetry-helm-charts/tree/main/charts/opentelemetry-operator),
+you could technically
+[pass it multiple Collector config files using multiple --values flags](https://stackoverflow.com/a/56653384)
+and let [Helm](https://helm.sh) do the merging for you.
+
+For reference,
+[check out this thread in the #otel-operator CNCF Slack channel](https://cloud-native.slack.com/archives/C033BJ8BASU/p1709321896612279).
+
+### Q2: How can I securely reference access tokens in the OpenTelemetryCollector’s configuration?
+
+In order to send OpenTelemetry data to an observability backend, you must define
+at least one [exporter](/docs/collector/configuration/#exporters). Whether you
+use [OTLP](/docs/specs/otel/protocol/) or
+[some proprietary vendor format](/docs/specs/otel/protocol/), most exporters
+typically require that you specify an endpoint and an access token when sending
+data to a vendor backend.
+
+When using the OpenTelemetry Operator to manage the OTel Collector, the OTel
+Collector config YAML is defined in the
+[OpenTelemetryCollector](https://github.com/open-telemetry/opentelemetry-operator?tab=readme-ov-file#getting-started)
+CR. This file should be version-controlled and therefore shouldn’t contain any
+sensitive data, including access tokens stored as plain text.
+
+Fortunately, the `OpenTelemetryCollector` CR gives us a way to reference that
+value as a secret. Here’s how you do it:
+
+1- Create a Kubernetes secret for your access token. Remember to
+[base-64 encode](https://www.base64encode.org/) the secret.
+
+2-
+[Expose the secret as an environment variable](https://kubernetes.io/docs/concepts/configuration/secret/#using-a-secret)
+by adding it to the `OpenTelemetryCollector` CR’s
+[`env` section](https://github.com/avillela/otel-target-allocator-talk/blob/21e9643e28165e39bd79f3beec7f2b1f989d87e9/src/resources/02-otel-collector-ls.yml#L16-L21).
+For example:
+
+```yaml
+env:
+  - name: LS_TOKEN
+    valueFrom:
+      secretKeyRef:
+        key: LS_TOKEN
+        name: otel-collector-secret
+```
+
+3- Reference the environment variable in your
+[exporter definition](https://github.com/avillela/otel-target-allocator-talk/blob/21e9643e28165e39bd79f3beec7f2b1f989d87e9/src/resources/02-otel-collector-ls.yml#L43-L47):
+
+```yaml
+exporters:
+  otlp/ls:
+    endpoint: 'ingest.lightstep.com:443'
+    headers:
+      'lightstep-access-token': '${LS_TOKEN}'
+```
+
+For more info, check out my full example
+[here](https://github.com/avillela/otel-target-allocator-talk/blob/main/src/resources/02-otel-collector-ls.yml),
+along with full instructions
+[here](https://github.com/avillela/otel-target-allocator-talk/tree/main?tab=readme-ov-file#3b--kubernetes-deployment-servicenow-cloud-observability-backend).
+
+### Q3: Is the Operator version at parity with the Collector version?
+
+The default version of the Collector used by the Operator is typically behind by
+one version at most. For example, at the time of this writing, the latest
+Operator version is 0.98.0, and the latest Collector version is 0.99.0. In
+addition, the default image of the Collector used by the Operator is the
+[core distribution](/blog/2024/otel-collector-anti-patterns/#3--not-using-the-right-collector-distribution-or-not-building-your-own-distribution)
+(as opposed to the contrib distribution).
+
+### Q4: Can I override the base OTel Collector image?
+
+Yes! In fact,
+[you probably should](https://cloud-native.slack.com/archives/C033BJ8BASU/p1713894678225579)!
+
+As we saw earlier, the
+[core distribution](https://github.cm/open-telemetry/open-telemetry-collector)
+is the default Collector distribution used by the `OpenTelemetryCollector` CR.
+The Core distribution is a bare-bones distribution of the Collector for OTel
+developers to develop and test. It contains a base set of components–i.e.
+[extensions](/docs/collector/configuration/#service-extensions),
+[connectors](/docs/collector/configuration/#connectors),
+[receivers](/docs/collector/configuration/#receivers),
+[processors](/docs/collector/configuration/#processors), and
+[exporters](/docs/collector/configuration/#exporters).
+
+If you want access to more components than the ones offered by core, you can use
+the contrib distribution instead. The contrib distribution extends the core
+distribution, and includes components created by third-parties (including
+vendors and individual community members), that are useful to the OpenTelemetry
+community at large.
+
+Or better yet, if you want to use specific Collector components, you can build
+your own distribution using the
+[OpenTelemetry Collector Builder](/docs/collector/custom-collector/) (OCB), and
+include only the components that you need.
+
+Either way, the OpenTelemetryCollector CR allows you to override the default
+Collector image with one that better suits your needs by `adding spec.image` to
+your `OpenTelemetryCollector` YAML. In addition, you can also specify the number
+of Collector replicas by adding `spec.replicas`. This is totally independent of
+whether or not you override the Collector image.
+
+Your code would look something like this:
+
+```yaml
+apiVersion: opentelemetry.io/v1alpha1
+kind: OpenTelemetryCollector
+metadata:
+  name: otelcol
+  namespace: mynamespace
+spec:
+  mode: statefulset
+  image: <my_collector_image>
+  replicas: <number_of_replicas>
+```
+
+Where:
+
+- `<my_collector_image>` is the name of a valid Collector image from a container
+  repository
+- `<number_of_replicas>` is the number of pod instances for the underlying
+  OpenTelemetry Collector
+
+Keep in mind that if you're pulling a Collector image from a private container
+registry, you'll need to use
+[`imagePullSecrets`](https://kubernetes.io/docs/tasks/configure-pod-container/pull-image-private-registry/).
+Since private container registries require authentication, this will enable you
+to authenticate against that private registry. For more info on how to use
+`imagePullSecrets` for your Collector image, check out the instructions
+[here](https://github.com/open-telemetry/opentelemetry-operator?tab=readme-ov-file#using-imagepullsecrets).
+
+For more info, check out the
+[OpenTelemetryCollector CR API docs](https://github.com/open-telemetry/opentelemetry-operator/blob/main/docs/api.md#opentelemetrycollector).
+
+### Q4: Does the Target Allocator work for all deployment types?
+
+No. The Target Allocator only works for
+[Deployment](https://kubernetes.io/docs/concepts/workloads/controllers/deployment/),
+[StatefulSet](https://kubernetes.io/docs/concepts/workloads/controllers/statefulset/),
+and
+[DaemonSet](https://kubernetes.io/docs/concepts/workloads/controllers/daemonset/)
+([newly-introduced](https://github.com/open-telemetry/opentelemetry-operator/pull/2430#discussion_r1420495631)).
+For reference, check out
+[this discussion](https://cloud-native.slack.com/archives/C033BJ8BASU/p1709935402250859).
+
+### Q5: If I’m using Operator’s Target Allocator for Prometheus service discovery, do I need `PodMonitor` and `ServiceMonitor` CRs installed in my Kubernetes cluster?
+
+Yes, you do. These CRs are bundled with the
+[Prometheus Operator](https://github.com/prometheus-operator/prometheus-operator);
+however, they can be installed standalone, which means that you don’t need to
+install the Prometheus Operator just to use these two CRs with the Target
+Allocator.
+
+The easiest way to install the
+[`PodMonitor`](https://github.com/prometheus-operator/prometheus-operator/blob/main/Documentation/api.md#monitoring.coreos.com/v1.PodMonitor)
+and
+[`ServiceMonitor`](https://github.com/prometheus-operator/prometheus-operator/blob/main/Documentation/api.md#monitoring.coreos.com/v1.ServiceMonitor)
+CRs is to grab a copy of the individual
+[PodMonitor YAML](https://github.com/prometheus-community/helm-charts/blob/main/charts/kube-prometheus-stack/charts/crds/crds/crd-podmonitors.yaml)
+and
+[ServiceMonitor YAML](https://github.com/prometheus-community/helm-charts/blob/main/charts/kube-prometheus-stack/charts/crds/crds/crd-servicemonitors.yaml)
+[custom resource definitions (CRDs)](https://kubernetes.io/docs/tasks/extend-kubernetes/custom-resources/custom-resource-definitions/),
+like this:
+
+```shell
+kubectl apply -f https://raw.githubusercontent.com/prometheus-operator/prometheus-operator/v0.71.2/example/prometheus-operator-crd/monitoring.coreos.com_servicemonitors.yaml
+
+kubectl apply -f https://raw.githubusercontent.com/prometheus-operator/prometheus-operator/v0.71.2/example/prometheus-operator-crd/monitoring.coreos.com_podmonitors.yaml
+```
+
+Check out my example of the OpenTelemetry Operator’s Target Allocator with
+`ServiceMonitor`
+[here](https://github.com/avillela/otel-target-allocator-talk/tree/main?tab=readme-ov-file#3b--kubernetes-deployment-servicenow-cloud-observability-backend).
+
+### Q6: Do I need to create a service account to use the Target Allocator?
+
+No, but you do need to do a bit of extra work. So, here’s the deal…although you
+need a
+[service account](https://kubernetes.io/docs/tasks/configure-pod-container/configure-service-account/)
+to use the Target Allocator, you don’t have to create your own.
+
+If you enable the Target Allocator and don’t create a service account, one is
+automagically created for you. This service account’s default name is a
+concatenation of the Collector name (`metadata.name` in the
+`OpenTelemetryCollector` CR) and `-collector`. For example, if your Collector is
+called `mycollector`, then your service account would be called
+`mycollector-collector`.
+
+By default, this service account has no defined policy. This means that you’ll
+still need to create your own
+[`ClusterRole`](https://kubernetes.io/docs/reference/access-authn-authz/rbac/#role-and-clusterrole)
+and
+[`ClusterRoleBinding`](https://kubernetes.io/docs/reference/access-authn-authz/rbac/#rolebinding-and-clusterrolebinding),
+and associate the `ClusterRole` to the `ServiceAccount` via
+`ClusterRoleBinding`.
+
+See the
+[Target Allocator readme](https://github.com/open-telemetry/opentelemetry-operator/tree/main/cmd/otel-allocator#rbac)
+for more on Target Allocator RBAC configuration.
+
+### Q7: Can I override the Target Allocator base image?
+
+Just like you can override the Collector base image in the
+`OpenTelemetryCollector` CR, you can also override the Target Allocator base
+image.
+
+Please keep in mind that
+[it’s usually best to keep the Target Allocator and OTel operator versions the same](https://cloud-native.slack.com/archives/C033BJ8BASU/p1709128862949249?thread_ts=1709081221.484429&cid=C033BJ8BASU),
+to avoid any compatibility issues. If do you choose to override the Target
+Allocator’s base image, you can do so by adding `spec.targetAllocator.image` in
+the `OpenTelemetryCollector` CR. You can also specify the number of replicas by
+adding `spec.targetAllocator.replicas`. This is totally independent of whether
+or not you override the TA image.
+
+Your code would look something like this:
+
+```yaml
+apiVersion: opentelemetry.io/v1alpha1
+kind: OpenTelemetryCollector
+metadata:
+  name: otelcol
+  namespace: mynamespace
+spec:
+  mode: statefulset
+  targetAllocator:
+    image: <ta_image_name>
+    replicas: <number_of_replicas>
+```
+
+Where:
+
+- `<ta_image_name>` is a valid Target Allocator image from a container
+  repository.
+- `<number_of_replicas>` is the number of pod instances for the underlying
+  Target Allocator
+
+### Q8: If it’s not recommended that you override the Target Allocator base image, then why would you want to?
+
+One use case might be
+[if you need to host a mirror of the Target Allocator image in your own private container registry for security purposes](https://cloud-native.slack.com/archives/C033BJ8BASU/p1713894678225579).
+
+If you do need to reference a Target Allocator image from a private registry,
+you’ll need to use `imagePullSecrets`. To use `imagePullSecrets` with the OTel
+Operator, check out the instructions
+[here](https://github.com/open-telemetry/opentelemetry-operator?tab=readme-ov-file#using-imagepullsecrets).
+Note that you don’t need to create a `serviceAccount` for the Target Allocator,
+since once is already created for you automagically if you don’t create one
+yourself (see
+[Q6](#q6-do-i-need-to-create-a-service-account-to-use-the-target-allocator)).
+
+For more info, check out the
+[Target Allocator API docs](https://github.com/open-telemetry/opentelemetry-operator/blob/main/docs/api.md#opentelemetrycollectorspectargetallocator).
+
+### Q9: Is there a version lag between the OTel Operator auto-instrumentation and auto-instrumentation of supported languages?
+
+If there is a lag, it's minimal, as maintainers try to keep these up to date for
+each release cycle. Keep in mind that there are breaking changes in some
+semantic conventions and the team is trying to avoid breaking users' code. More
+info
+[here](https://cloud-native.slack.com/archives/C033BJ8BASU/p1713894678225579).
+
+## Final Thoughts
+
+Hopefully this has helped to demystify the OTel Operator a bit more. There’s
+definitely a lot going on, and the OTel Operator can certainly be a bit scary at
+first, but understanding some of the basics will get you well on your way to
+mastering this powerful tool.
+
+If you have any questions about the OTel Operator, I highly recommend that you
+post questions on the
+[#otel-operator](https://cloud-native.slack.com/archives/C033BJ8BASU) channel on
+the [CNCF Slack](https://communityinviter.com/apps/cloud-native/cncf).
+Maintainers and contributors are super friendly, and have always been more than
+willing to answer my questions! You can also
+[hit me up](https://bento.me/adrianamvillela), and I'll try my best to answer
+your questions, or to direct you to folks who have the answers!