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Prepare release v1.0.1
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jotak committed Jan 25, 2023
1 parent d7d83d8 commit 2de1e54
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8 changes: 4 additions & 4 deletions Makefile
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Expand Up @@ -6,14 +6,14 @@ BUILD_SHA := $(shell git rev-parse --short HEAD)

# Component versions to use in bundle / release (do not use $VERSION for that)
PREVIOUS_VERSION ?= v0.2.2
BUNDLE_VERSION ?= 1.0.1-rc0
BUNDLE_VERSION ?= 1.0.1
OPERATOR_VERSION ?= $(BUNDLE_VERSION)
# console plugin
export PLG_VERSION ?= v0.1.8-rc0
export PLG_VERSION ?= v0.1.8
# flowlogs-pipeline
export FLP_VERSION ?= v0.1.7-rc1
export FLP_VERSION ?= v0.1.7
# eBPF agent
export BPF_VERSION ?= v0.2.4-rc0
export BPF_VERSION ?= v0.2.4

# 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="1.0.1-rc0"
version="1.0.1"
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 @@ -168,13 +168,13 @@ metadata:
capabilities: Basic Install
categories: Monitoring
console.openshift.io/plugins: '["netobserv-plugin"]'
containerImage: quay.io/netobserv/network-observability-operator:1.0.1-rc0
createdAt: "2023-01-23T20:05:41Z"
containerImage: quay.io/netobserv/network-observability-operator:1.0.1
createdAt: "2023-01-25T18:13:58Z"
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.v1.0.1-rc0
name: netobserv-operator.v1.0.1
namespace: placeholder
spec:
apiservicedefinitions: {}
Expand Down Expand Up @@ -221,7 +221,7 @@ 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/1.0.1-rc0/docs/FlowCollector.md), and a full sample file [there](https://github.com/netobserv/network-observability-operator/blob/1.0.1-rc0/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/1.0.1/docs/FlowCollector.md), and a full sample file [there](https://github.com/netobserv/network-observability-operator/blob/1.0.1/config/samples/flows_v1alpha1_flowcollector.yaml).
To edit configuration in cluster, run:
Expand All @@ -239,7 +239,7 @@ 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/1.0.1-rc0/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/1.0.1/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 @@ -477,12 +477,12 @@ spec:
- /manager
env:
- name: RELATED_IMAGE_EBPF_AGENT
value: quay.io/netobserv/netobserv-ebpf-agent:v0.2.4-rc0
value: quay.io/netobserv/netobserv-ebpf-agent:v0.2.4
- name: RELATED_IMAGE_FLOWLOGS_PIPELINE
value: quay.io/netobserv/flowlogs-pipeline:v0.1.7-rc1
value: quay.io/netobserv/flowlogs-pipeline:v0.1.7
- name: RELATED_IMAGE_CONSOLE_PLUGIN
value: quay.io/netobserv/network-observability-console-plugin:v0.1.8-rc0
image: quay.io/netobserv/network-observability-operator:1.0.1-rc0
value: quay.io/netobserv/network-observability-console-plugin:v0.1.8
image: quay.io/netobserv/network-observability-operator:1.0.1
imagePullPolicy: Always
livenessProbe:
httpGet:
Expand Down Expand Up @@ -602,11 +602,11 @@ spec:
name: Red Hat
url: https://www.redhat.com
relatedImages:
- image: quay.io/netobserv/netobserv-ebpf-agent:v0.2.4-rc0
- image: quay.io/netobserv/netobserv-ebpf-agent:v0.2.4
name: ebpf-agent
- image: quay.io/netobserv/flowlogs-pipeline:v0.1.7-rc1
- image: quay.io/netobserv/flowlogs-pipeline:v0.1.7
name: flowlogs-pipeline
- image: quay.io/netobserv/network-observability-console-plugin:v0.1.8-rc0
- image: quay.io/netobserv/network-observability-console-plugin:v0.1.8
name: console-plugin
replaces: netobserv-operator.v0.2.2
version: 1.0.1-rc0
version: 1.0.1
2 changes: 1 addition & 1 deletion config/manager/kustomization.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -13,6 +13,6 @@ kind: Kustomization
images:
- name: controller
newName: quay.io/netobserv/network-observability-operator
newTag: 1.0.1-rc0
newTag: 1.0.1
commonLabels:
app: netobserv-operator
6 changes: 3 additions & 3 deletions config/manager/manager.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -34,11 +34,11 @@ spec:
- --console-plugin-image=$(RELATED_IMAGE_CONSOLE_PLUGIN)"
env:
- name: RELATED_IMAGE_EBPF_AGENT
value: quay.io/netobserv/netobserv-ebpf-agent:v0.2.4-rc0
value: quay.io/netobserv/netobserv-ebpf-agent:v0.2.4
- name: RELATED_IMAGE_FLOWLOGS_PIPELINE
value: quay.io/netobserv/flowlogs-pipeline:v0.1.7-rc1
value: quay.io/netobserv/flowlogs-pipeline:v0.1.7
- name: RELATED_IMAGE_CONSOLE_PLUGIN
value: quay.io/netobserv/network-observability-console-plugin:v0.1.8-rc0
value: quay.io/netobserv/network-observability-console-plugin:v0.1.8
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/1.0.1-rc0/docs/FlowCollector.md), and a full sample file [there](https://github.com/netobserv/network-observability-operator/blob/1.0.1-rc0/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/1.0.1/docs/FlowCollector.md), and a full sample file [there](https://github.com/netobserv/network-observability-operator/blob/1.0.1/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/1.0.1-rc0/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/1.0.1/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/1.0.1-rc0/docs/FlowCollector.md), and a full sample file [there](https://github.com/netobserv/network-observability-operator/blob/1.0.1-rc0/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/1.0.1/docs/FlowCollector.md), and a full sample file [there](https://github.com/netobserv/network-observability-operator/blob/1.0.1/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/1.0.1-rc0/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/1.0.1/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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