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T4K Integration with Slack using BotKube
This section provides step by step instructions to install and configure BotKube to monitor T4K resources from Slack along with other native Kubernetes resources.
In today's world, it's imperative to be able to receive notifications for your Kubernetes environments into communication and notification tools of choice. Slack is a new-age communication tool leveraged by a lot of different teams and organizations today. In order to keep a consistent user experience across ecosystem tools leveraged by T4K users, notifications can be supported within Slack for T4K resources through BotKube.
This page guides you with detailed instructions to install BotKube on a Kubernetes cluster, configure it to integrate with Slack, and monitor T4K resources to provide notifications around T4K activity within Slack channels directly.
BotKube is a messaging bot for monitoring and debugging Kubernetes clusters. It can be integrated with multiple messaging platforms like - Slack, Mattermost, Microsoft Teams, Discord to help you monitor T4K resources and other Kubernetes resources.
- 1.Search for the BotKube application in the Apps section on Slack, install the application using the Add to Slack button provided.
- 2.After you authorize the application, you will get a BOT Access token. Note down this token as it will be required during deployment of BotKube backend on Kubernetes cluster.
Search and install BotKube application on Slack
Once the BotKube application is installed to the Slack workspace, you can see BotKube user (@Botkube) present. Add this Botkube user to your slack channel from where you want to monitor the T4K resources.
BotKube user in Slack workspace
Invite the BotKube user to Slack channel
- 1.Add infracloudio chart repository to the Kubernetes cluster
helm repo add infracloudio https://infracloudio.github.io/charts
helm repo update
2. Install BotKube backend with required input parameters to configure Slack communication
helm install --version v0.12.1 botkube --namespace botkube \
--set communications.slack.enabled=true \
--set communications.slack.channel=<SLACK_CHANNEL_NAME> \
--set communications.slack.token=<xoxb-SLACK_API_TOKEN_FOR_THE_BOT> \
--set config.settings.clustername=<K8S_CLUSTER_NAME> \
--set config.settings.kubectl.enabled=<ALLOW_KUBECTL_true_or_false>\
--set image.repository=infracloudio/botkube \
--set image.tag=v0.12.1 \
infracloudio/botkube
3. Verify that the botkube controller pod is in
running statekubectl get pod -n botkube
NAME READY STATUS RESTARTS AGE
botkube-6fdf477b-gskb7 1/1 Running 9 12d
After the above installation with default configuration, BotKube will watch all the resources in all the namespaces for create, delete and error events for configured Kubernetes cluster.
- 1.Along with default configurations, we will update the botkube-configmap with T4K custom resources for monitoring
kubectl get configmap -n botkube
NAME DATA AGE
botkube-configmap 1 14d
kube-root-ca.crt 1 15d
2. Add T4K custom resources to the BotKube configmap
kubectl edit configmap botkube-configmap -n botkube
apiVersion: v1
data:
resource_config.yaml: |
recommendations: true
resources:
- events:
- all
name: triliovault.trilio.io/v1/licenses
namespaces:
ignore:
- null
include:
- all
- events:
- all
name: triliovault.trilio.io/v1/targets
namespaces:
ignore:
- null
include:
- all
- events:
- all
name: triliovault.trilio.io/v1/policies
namespaces:
ignore:
- null
include:
- all
- events:
- all
name: triliovault.trilio.io/v1/hooks
namespaces:
ignore:
- null
include:
- all
- events:
- all
name: triliovault.trilio.io/v1/backupplans
namespaces:
ignore:
- null
include:
- all
- events:
- all
name: triliovault.trilio.io/v1/backups
namespaces:
ignore:
- null
include:
- all
- events:
- all
name: triliovault.trilio.io/v1/restores
namespaces:
ignore:
- null
include:
- all
The above configuration is for the Cluster scoped installation of T4K. We have specified to include all namespaces for notifications using the following syntax
namespaces: -> include: -> -allIn the case of namespace scoped installation of T4K, you can include only the specific namespace where T4K is installed.
3. This update will start populating any operations done on the T4K resources.
T4K target resource is created
T4K policy resource is created
- 1.You can expand the list of commands that can be executed from slack directly onto the Kubernetes resources and T4K resources.
kubectl edit configmap botkube-configmap -n botkube
2. Add the commands that can be executed on the T4K resources along with the verbs under
settings.kubectl.commands.resources and settings.kubectl.commands.verbs section settings:
clustername: east-2-rke-120
configwatcher: true
kubectl:
commands:
resources:
- deployments
- pods
- namespaces
- daemonsets
- statefulsets
- storageclasses
- nodes
- licenses
- policies
- hooks
- targets
- backupplans
- backups
- restores
- triliovaultmanagers
verbs:
- api-resources
- api-versions
- cluster-info
- describe
- diff
- explain
- get
- logs
- top
- auth
- create
- get
- edit
- delete
defaultNamespace: default
3. Once the Botkube configmap is updated, you can see the updated commands list from slack
Commands lists on slack after updating the configmap
You can execute above commands directly from slack to monitor the T4K resources
Get backupplan command execution from Slack
Get backup command execution from Slack
We installed BotKube using helm, execute the following command to completely remove BotKube and related resources.
helm delete --purge botkube -n botkube
For integrations with other tools such as Mattermost, Microsoft Teams, Discord, Elastic Search configurations, users can follow BotKube documentations.