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Add documentation how to build and use custom/vendor auto-instrumenta…
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…tion (open-telemetry#762)

* doc: customized auto-instrumentation

* doc: update based on comments

* doc: wording

* doc: update based on comments

* doc: update based on comments
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cuichenli authored Mar 15, 2022
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22 changes: 22 additions & 0 deletions README.md
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Expand Up @@ -215,6 +215,28 @@ The possible values for the annotation can be
* `"my-instrumentation"` - name of `Instrumentation` CR instance.
* `"false"` - do not inject

#### Use customized or vendor instrumentation

By default, the operator uses upstream auto-instrumentation libraries. Custom auto-instrumentation can be configured by
overriding the image fields in a CR.

```yaml
apiVersion: opentelemetry.io/v1alpha1
kind: Instrumentation
metadata:
name: my-instrumentation
spec:
java:
image: your-customized-auto-instrumentation-image:java
nodejs:
image: your-customized-auto-instrumentation-image:nodejs
python:
image: your-customized-auto-instrumentation-image:python
```
The Dockerfiles for auto-instrumentation can be found in [autoinstrumentation directory](./autoinstrumentation).
Follow the instructions in the Dockerfiles on how to build a custom container image.
## Compatibility matrix
### OpenTelemetry Operator vs. OpenTelemetry Collector
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4 changes: 4 additions & 0 deletions autoinstrumentation/java/Dockerfile
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# To build one auto-instrumentation image for Java, please:
# - Download your customized `javaagent.jar` to `/javaagent.jar`. This is required as when instrumenting the pod,
# one init container will be created to copy the jar to your app's container.
# - Grant the necessary access to the jar. `chmod -R go+r /javaagent.jar`
FROM busybox

ARG version
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9 changes: 9 additions & 0 deletions autoinstrumentation/nodejs/Dockerfile
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# To build one auto-instrumentation image for Node.js, please:
# - Ensure the packages are installed in the `/autoinstrumentation` directory. This is required as when instrumenting the pod,
# one init container will be created to copy all the content in `/autoinstrumentation` directory to your app's container. Then
# update the `NODE_OPTIONS` environment variable accordingly. To achieve this, you can mimic the one in `autoinstrumentation/nodejs/Dockerfile`
# by using multi-stage builds. In the first stage, install all the required packages in one custom directory.
# Then in the second stage, copy the directory to `/autoinstrumentation`.
# - Ensure you have `@opentelemetry/api`, `@opentelemetry/auto-instrumentations-node`, and `@opentelemetry/sdk-node` or your customized
# alternatives installed.
# - Grant the necessary access to `/autoinstrumentation` directory. `chmod -R go+r /autoinstrumentation`
FROM node:16 AS build

WORKDIR /operator-build
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10 changes: 10 additions & 0 deletions autoinstrumentation/python/Dockerfile
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# To build one auto-instrumentation image for Python, please:
# - Ensure the packages are installed in the `/autoinstrumentation` directory. This is required as when instrumenting the pod,
# one init container will be created to copy all the content in `/autoinstrumentation` directory to your app's container. Then
# update the `PYTHONPATH` environment variable accordingly. To achieve this, you can mimic the one in `autoinstrumentation/python/Dockerfile`
# by using multi-stage builds. In the first stage, install all the required packages in one custom directory with `pip install --target`.
# Then in the second stage, copy the directory to `/autoinstrumentation`.
# - Ensure you have `opentelemetry-distro` and `opentelemetry-instrumentation` or your customized alternatives installed.
# Those two packages are essential to Python auto-instrumentation.
# - Grant the necessary access to `/autoinstrumentation` directory. `chmod -R go+r /autoinstrumentation`

FROM python:3.10-alpine AS build

WORKDIR /operator-build
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