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Prepare release v1.0.2-rc3
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jotak committed Feb 21, 2023
1 parent 8b20ac0 commit faa7fa2
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8 changes: 4 additions & 4 deletions Makefile
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Expand Up @@ -7,14 +7,14 @@ BUILD_SHA := $(shell git rev-parse --short HEAD)
REPO ?= quay.io/netobserv
# Component versions to use in bundle / release (do not use $VERSION for that)
PREVIOUS_VERSION ?= v1.0.1
BUNDLE_VERSION ?= 1.0.2-rc2
BUNDLE_VERSION ?= 1.0.2-rc3
OPERATOR_VERSION ?= $(BUNDLE_VERSION)
# console plugin
export PLG_VERSION ?= v0.1.9-rc1
export PLG_VERSION ?= v0.1.9-rc2
# flowlogs-pipeline
export FLP_VERSION ?= v0.1.8-rc1
export FLP_VERSION ?= v0.1.8
# eBPF agent
export BPF_VERSION ?= v0.3.0-rc0
export BPF_VERSION ?= v0.3.0

# Allows building bundles in Mac replacing BSD 'sed' command by GNU-compatible 'gsed'
SED ?= sed
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2 changes: 1 addition & 1 deletion RELEASE.md
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Expand Up @@ -36,7 +36,7 @@ Edit the [Makefile](./Makefile) to update `PREVIOUS_VERSION`, `BUNDLE_VERSION`,
make bundle

# Set desired operator version - CAREFUL, no leading "v" here
version="1.0.2-rc2"
version="1.0.2-rc3"
vv=v$version
test_branch=test-$vv

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26 changes: 13 additions & 13 deletions bundle/manifests/netobserv-operator.clusterserviceversion.yaml
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Expand Up @@ -328,13 +328,13 @@ metadata:
capabilities: Seamless Upgrades
categories: Monitoring
console.openshift.io/plugins: '["netobserv-plugin"]'
containerImage: quay.io/netobserv/network-observability-operator:1.0.2-rc2
createdAt: "2023-02-21T04:57:58Z"
containerImage: quay.io/netobserv/network-observability-operator:1.0.2-rc3
createdAt: "2023-02-21T08:09:31Z"
description: Network flows collector and monitoring solution
operators.operatorframework.io/builder: operator-sdk-v1.25.3
operators.operatorframework.io/project_layout: go.kubebuilder.io/v3
repository: https://github.com/netobserv/network-observability-operator
name: netobserv-operator.v1.0.2-rc2
name: netobserv-operator.v1.0.2-rc3
namespace: placeholder
spec:
apiservicedefinitions: {}
Expand Down Expand Up @@ -387,7 +387,7 @@ spec:
## Configuration
The `FlowCollector` resource is used to configure the operator and its managed components. A comprehensive documentation is [available here](https://github.com/netobserv/network-observability-operator/blob/1.0.2-rc2/docs/FlowCollector.md), and a full sample file [there](https://github.com/netobserv/network-observability-operator/blob/1.0.2-rc2/config/samples/flows_v1alpha1_flowcollector.yaml).
The `FlowCollector` resource is used to configure the operator and its managed components. A comprehensive documentation is [available here](https://github.com/netobserv/network-observability-operator/blob/1.0.2-rc3/docs/FlowCollector.md), and a full sample file [there](https://github.com/netobserv/network-observability-operator/blob/1.0.2-rc3/config/samples/flows_v1alpha1_flowcollector.yaml).
To edit configuration in cluster, run:
Expand All @@ -405,7 +405,7 @@ spec:
- Loki (`spec.loki`): configure here how to reach Loki. The default values match the Loki quick install paths mentioned above, but you may have to configure differently if you used another installation method.
- Quick filters (`spec.consolePlugin.quickFilters`): configure preset filters to be displayed in the Console plugin. They offer a way to quickly switch from filters to others, such as showing / hiding pods network, or infrastructure network, or application network, etc. They can be tuned to reflect the different workloads running on your cluster. For a list of available filters, [check this page](https://github.com/netobserv/network-observability-operator/blob/1.0.2-rc2/docs/QuickFilters.md).
- Quick filters (`spec.consolePlugin.quickFilters`): configure preset filters to be displayed in the Console plugin. They offer a way to quickly switch from filters to others, such as showing / hiding pods network, or infrastructure network, or application network, etc. They can be tuned to reflect the different workloads running on your cluster. For a list of available filters, [check this page](https://github.com/netobserv/network-observability-operator/blob/1.0.2-rc3/docs/QuickFilters.md).
- Kafka (`spec.deploymentModel: KAFKA` and `spec.kafka`): when enabled, integrates the flow collection pipeline with Kafka, by splitting ingestion from transformation (kube enrichment, derived metrics, ...). Kafka can provide better scalability, resiliency and high availability ([view more details](https://www.redhat.com/en/topics/integration/what-is-apache-kafka)). Assumes Kafka is already deployed and a topic is created.
Expand Down Expand Up @@ -644,12 +644,12 @@ spec:
- /manager
env:
- name: RELATED_IMAGE_EBPF_AGENT
value: quay.io/netobserv/netobserv-ebpf-agent:v0.3.0-rc0
value: quay.io/netobserv/netobserv-ebpf-agent:v0.3.0
- name: RELATED_IMAGE_FLOWLOGS_PIPELINE
value: quay.io/netobserv/flowlogs-pipeline:v0.1.8-rc1
value: quay.io/netobserv/flowlogs-pipeline:v0.1.8
- name: RELATED_IMAGE_CONSOLE_PLUGIN
value: quay.io/netobserv/network-observability-console-plugin:v0.1.9-rc1
image: quay.io/netobserv/network-observability-operator:1.0.2-rc2
value: quay.io/netobserv/network-observability-console-plugin:v0.1.9-rc2
image: quay.io/netobserv/network-observability-operator:1.0.2-rc3
imagePullPolicy: Always
livenessProbe:
httpGet:
Expand Down Expand Up @@ -782,14 +782,14 @@ spec:
name: Red Hat
url: https://www.redhat.com
relatedImages:
- image: quay.io/netobserv/netobserv-ebpf-agent:v0.3.0-rc0
- image: quay.io/netobserv/netobserv-ebpf-agent:v0.3.0
name: ebpf-agent
- image: quay.io/netobserv/flowlogs-pipeline:v0.1.8-rc1
- image: quay.io/netobserv/flowlogs-pipeline:v0.1.8
name: flowlogs-pipeline
- image: quay.io/netobserv/network-observability-console-plugin:v0.1.9-rc1
- image: quay.io/netobserv/network-observability-console-plugin:v0.1.9-rc2
name: console-plugin
replaces: netobserv-operator.v1.0.1
version: 1.0.2-rc2
version: 1.0.2-rc3
webhookdefinitions:
- admissionReviewVersions:
- v1alpha1
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2 changes: 1 addition & 1 deletion config/manager/kustomization.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -15,6 +15,6 @@ kind: Kustomization
images:
- name: controller
newName: quay.io/netobserv/network-observability-operator
newTag: 1.0.2-rc2
newTag: 1.0.2-rc3
commonLabels:
app: netobserv-operator
6 changes: 3 additions & 3 deletions config/manager/manager.yaml
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Expand Up @@ -29,11 +29,11 @@ spec:
- --console-plugin-image=$(RELATED_IMAGE_CONSOLE_PLUGIN)
env:
- name: RELATED_IMAGE_EBPF_AGENT
value: quay.io/netobserv/netobserv-ebpf-agent:v0.3.0-rc0
value: quay.io/netobserv/netobserv-ebpf-agent:v0.3.0
- name: RELATED_IMAGE_FLOWLOGS_PIPELINE
value: quay.io/netobserv/flowlogs-pipeline:v0.1.8-rc1
value: quay.io/netobserv/flowlogs-pipeline:v0.1.8
- name: RELATED_IMAGE_CONSOLE_PLUGIN
value: quay.io/netobserv/network-observability-console-plugin:v0.1.9-rc1
value: quay.io/netobserv/network-observability-console-plugin:v0.1.9-rc2
image: controller:latest
name: manager
imagePullPolicy: Always
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4 changes: 2 additions & 2 deletions config/manifests/bases/description-ocp.md
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Expand Up @@ -32,7 +32,7 @@ oc apply -f <(curl -L https://raw.githubusercontent.com/netobserv/documents/252b

## Configuration

The `FlowCollector` resource is used to configure the operator and its managed components. A comprehensive documentation is [available here](https://github.com/netobserv/network-observability-operator/blob/1.0.2-rc2/docs/FlowCollector.md), and a full sample file [there](https://github.com/netobserv/network-observability-operator/blob/1.0.2-rc2/config/samples/flows_v1alpha1_flowcollector.yaml).
The `FlowCollector` resource is used to configure the operator and its managed components. A comprehensive documentation is [available here](https://github.com/netobserv/network-observability-operator/blob/1.0.2-rc3/docs/FlowCollector.md), and a full sample file [there](https://github.com/netobserv/network-observability-operator/blob/1.0.2-rc3/config/samples/flows_v1alpha1_flowcollector.yaml).

To edit configuration in cluster, run:

Expand All @@ -48,7 +48,7 @@ A couple of settings deserve special attention:

- Loki (`spec.loki`): configure here how to reach Loki. The default values match the Loki quick install paths mentioned above, but you may have to configure differently if you used another installation method.

- Quick filters (`spec.consolePlugin.quickFilters`): configure preset filters to be displayed in the Console plugin. They offer a way to quickly switch from filters to others, such as showing / hiding pods network, or infrastructure network, or application network, etc. They can be tuned to reflect the different workloads running on your cluster. For a list of available filters, [check this page](https://github.com/netobserv/network-observability-operator/blob/1.0.2-rc2/docs/QuickFilters.md).
- Quick filters (`spec.consolePlugin.quickFilters`): configure preset filters to be displayed in the Console plugin. They offer a way to quickly switch from filters to others, such as showing / hiding pods network, or infrastructure network, or application network, etc. They can be tuned to reflect the different workloads running on your cluster. For a list of available filters, [check this page](https://github.com/netobserv/network-observability-operator/blob/1.0.2-rc3/docs/QuickFilters.md).

- Kafka (`spec.deploymentModel: KAFKA` and `spec.kafka`): when enabled, integrates the flow collection pipeline with Kafka, by splitting ingestion from transformation (kube enrichment, derived metrics, ...). Kafka can provide better scalability, resiliency and high availability ([view more details](https://www.redhat.com/en/topics/integration/what-is-apache-kafka)). Assumes Kafka is already deployed and a topic is created.

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4 changes: 2 additions & 2 deletions config/manifests/bases/description-upstream.md
Original file line number Diff line number Diff line change
Expand Up @@ -32,7 +32,7 @@ kubectl apply -f <(curl -L https://raw.githubusercontent.com/netobserv/documents

## Configuration

The `FlowCollector` resource is used to configure the operator and its managed components. A comprehensive documentation is [available here](https://github.com/netobserv/network-observability-operator/blob/1.0.2-rc2/docs/FlowCollector.md), and a full sample file [there](https://github.com/netobserv/network-observability-operator/blob/1.0.2-rc2/config/samples/flows_v1alpha1_flowcollector.yaml).
The `FlowCollector` resource is used to configure the operator and its managed components. A comprehensive documentation is [available here](https://github.com/netobserv/network-observability-operator/blob/1.0.2-rc3/docs/FlowCollector.md), and a full sample file [there](https://github.com/netobserv/network-observability-operator/blob/1.0.2-rc3/config/samples/flows_v1alpha1_flowcollector.yaml).

To edit configuration in cluster, run:

Expand All @@ -50,7 +50,7 @@ A couple of settings deserve special attention:

- Loki (`spec.loki`): configure here how to reach Loki. The default values match the Loki quick install paths mentioned above, but you may have to configure differently if you used another installation method.

- Quick filters (`spec.consolePlugin.quickFilters`): configure preset filters to be displayed in the Console plugin. They offer a way to quickly switch from filters to others, such as showing / hiding pods network, or infrastructure network, or application network, etc. They can be tuned to reflect the different workloads running on your cluster. For a list of available filters, [check this page](https://github.com/netobserv/network-observability-operator/blob/1.0.2-rc2/docs/QuickFilters.md).
- Quick filters (`spec.consolePlugin.quickFilters`): configure preset filters to be displayed in the Console plugin. They offer a way to quickly switch from filters to others, such as showing / hiding pods network, or infrastructure network, or application network, etc. They can be tuned to reflect the different workloads running on your cluster. For a list of available filters, [check this page](https://github.com/netobserv/network-observability-operator/blob/1.0.2-rc3/docs/QuickFilters.md).

- Kafka (`spec.deploymentModel: KAFKA` and `spec.kafka`): when enabled, integrates the flow collection pipeline with Kafka, by splitting ingestion from transformation (kube enrichment, derived metrics, ...). Kafka can provide better scalability, resiliency and high availability ([view more details](https://www.redhat.com/en/topics/integration/what-is-apache-kafka)). Assumes Kafka is already deployed and a topic is created.

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