-
Notifications
You must be signed in to change notification settings - Fork 3
/
patch_csv.yaml
71 lines (65 loc) · 35.1 KB
/
patch_csv.yaml
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
metadata:
extra_annotations:
support: Red Hat
operators.openshift.io/valid-subscription: '["OpenShift Container Platform", "OpenShift Platform Plus"]'
operators.openshift.io/infrastructure-features: '["disconnected"]'
operatorframework.io/cluster-monitoring: "true"
operatorframework.io/suggested-namespace: openshift-opentelemetry-operator
features.operators.openshift.io/disconnected: "true"
features.operators.openshift.io/fips-compliant: "true"
features.operators.openshift.io/proxy-aware: "true"
features.operators.openshift.io/tls-profiles: "false"
features.operators.openshift.io/token-auth-aws: "false"
features.operators.openshift.io/token-auth-azure: "false"
features.operators.openshift.io/token-auth-gcp: "false"
features.operators.openshift.io/cnf: "false"
features.operators.openshift.io/cni: "false"
features.operators.openshift.io/csi: "false"
olm.skipRange: '>=0.33.0 <0.113.0-1'
name: opentelemetry-operator.v0.113.0-1
spec:
version: 0.113.0-1
replaces: opentelemetry-operator.v0.107.0-5
description: |-
Red Hat build of OpenTelemetry is a collection of tools, APIs, and SDKs. You use it to instrument, generate, collect, and export telemetry data (metrics, logs, and traces) for analysis in order to understand your software's performance and behavior.
This operator was previously called Red Hat OpenShift distributed tracing data collection.
### Operator features
* **Sidecar injection** - annotate your pods and let the operator inject a sidecar.
* **Managed upgrades** - updating the operator will automatically update your OpenTelemetry collectors.
* **Deployment modes** - your collector can be deployed as sidecar, daemon set, or regular deployment.
* **Service port management** - the operator detects which ports need to be exposed based on the provided configuration.
## Examples
There is a list of examples to help you deploy different configurations in [this GitHub repository](https://github.com/os-observability/redhat-rhosdt-samples)
### Support & Troubleshooting
Red Hat build of OpenTelemetry is available as part of a Red Hat OpenShift subscription.
Checking the [Red Hat Documentation](https://docs.redhat.com/en/documentation/openshift_container_platform/4.17/html/red_hat_build_of_opentelemetry/index) is recommended when installing, configuring, and managing the Operator and instances.
displayName: 'Red Hat build of OpenTelemetry'
maintainers:
- email: [email protected]
name: Red Hat support
provider:
name: 'Red Hat'
icon:
- base64data: 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
mediatype: image/png
install:
spec:
deployments:
- name: opentelemetry-operator-controller-manager
spec:
template:
spec:
containers:
- name: manager
image: opentelemetry-operator-container-pullspec
extra_args:
- '--fips-disabled-components=extension.oidc'
extra_env:
- name: RELATED_IMAGE_COLLECTOR
value: opentelemetry-collector-container-pullspec
- name: RELATED_IMAGE_TARGET_ALLOCATOR
value: opentelemetry-target-allocator-container-pullspec
- name: RELATED_IMAGE_OSE_KUBE_RBAC_PROXY
value: ose-kube-rbac-proxy-container-pullspec
- name: kube-rbac-proxy
image: ose-kube-rbac-proxy-container-pullspec