Page Comparison

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helm upgrade --install -n kfuse kfuse oci://us-east1-docker.pkg.dev/mvp-demo-301906/kfuse-helm/kfuse --version <SPECIFY VERSION HERE> -f custom_values.yaml

Upgrading to Kfuse version

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The 2.7.3 version upgrade is a two step process.

1. Set pinot.server.realtime.replicaCount to 0. Keep note of the original value of this field because we will set it back to that value in step 4.

2. Run helm upgrade as usual.

3. Make sure all pods and jobs have finished successfully.

4. Set pinot.server.realtime.replicaCount back to its original value in the values.yaml file.

5. Either run helm upgrade again.
   Alternatively, you could run kubectl scale sts pinot-server-realtime --replicas=N

Use gescript.py script to migrate users, groups, policy, and policy assignments from earlier releases. Use your organization’s <custom_values.yaml> file.

To ingest earlier RBAC settings, use the following command at the terminal prompt:

% python3 gescript.py <custom_values.yaml>

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to 3.1.0

Pre-Upgrade

Because of the fix we did for the labels and labelselector for some of our components (kubernetes resources) to match with the rest, we need to run this command once before upgrading to 3.1.0 or TOT.

kubectl delete deployments.apps catalog-service rulemanager advance-functions-service

Upgrading to Kfuse version from 2.7.3 to 2.7.4

Pre-Upgrade

For rbac, before upgrading to 2.7.4, check for a blank user row in the user management tab in Admin tab. The login and email fields would be empty with a random id. Delete that row either through ui directly or by exec-ing into the configdb shell and run the following command. You can find the script to connect to rbacdb here

./kfuse-postgres.sh kfuse-configdb-0 kfuse rbacdb 

rbacdb=# DELETE FROM users where email ISNULL and login ISNULL;
DELETE 1

Post-Upgrade

kubectl rollout restart sts pinot-server-offline

kubectl port-forward --namespace kfuse deployments.apps/trace-query-service 8080:8080
curl -X POST http://localhost:8080/v1/trace/query \
  -H "Content-Type: application/json" \
  -d '{
    "query": "query { refreshServicesInApmStore(lookbackDays: 1) }"
  }'

Upgrading to Kfuse version from 2.7.2 to 2.7.3

The 2.7.3 version upgrade is a two step process.

1. Set pinot.server.realtime.replicaCount to 0. Keep note of the original value of this field because we will set it back to that value in step 4.

2. Run helm upgrade as usual.

3. Make sure all pods and jobs have finished successfully.

4. Set pinot.server.realtime.replicaCount back to its original value in the values.yaml file.

5. Either run helm upgrade again.
   Alternatively, you could run kubectl scale sts pinot-server-realtime --replicas=N

See RBAC: Using the Admin Tab

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See RBAC: Using the Admin Tab

Post-Upgrade

1. Connect to rbacdb

> ./kfuse-postgres.sh kfuse-configdb-0 kfuse rbacdb 

2. Make a note of user_id with NULL value created during rbac migration

rbacdb=# select id from users where grafana_id=NULL;

3. Cleanup of empty users in the rbac db created during import from existing users.

> ./kfuse-postgres.sh kfuse-configdb-0 kfuse rbacdb 

slodbrbacdb=# delete from users where grafana_id=NULL;

• For each user in the output of step 2, delete the user from group

rbacdb=# delete from usersgroup_members where grafanauser_id is NULL='<user-id>';

The kfuse-postgres.sh script is available in the customer repository under scripts directory

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Upgrading to Kfuse version from 2.6.7 to 2.6.8 or 2.7

Pre-upgrade steps:

Package upgrades to remove service vulnerabilities. Beforehelm upgrade you need to run a script that's related to the Kafka service. There will be some downtime between running the script and helm upgrade. You can find the script here

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Note that Identity for Databases is introduced in Kfuse version 2.6.7. Database Identity only takes effect on new ingested APM-related data. In addition, timestamp granularities for APM/span data has been increased from millisecond to nanosecond to provide better accuracy in Trace Flamegraph/Waterfall. For older APM data to be rendered accurately, follow the instructions Converting old APM data to Kfuse 2.6.5 APM Service Identity format to convert old data to the new format.

Pre-Upgrade

• SLO is reenabled in 2.6.7 with enhanced features.

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The kfuse-postgres.sh script is available in the customer repository under scripts directory

Post-Upgrade

• There are few changes in the pinot database which requires Pinot server to be restarted post upgrade with following command

  Code Block
  kubectl rollout restart sts -n kfuse pinot-server-offline pinot-server-realtime

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Note that Service Identity for APM is introduced in Kfuse version 2.6.5. Service Identity only takes effect on new ingested APM-related data. Accordingly, old APM data will not get rendered properly in the UI. If older APM data is needed. Then follow the instructions Converting old APM data to Kfuse 2.6.5 APM Service Identity format to convert old data to the new format.

Pre-Upgrade

• On Azure, The kfuse-ssd-offline storage class is changed toStandardSSD_LRS disk type. The kfuse-ssd-offline storage class needs to be deleted prior to upgrade to allow the new version to update the disk type. Note that if the installation is not on Azure, then this step can be skipped.

  Code Block
  kubectl delete storageclass kfuse-ssd-offline

Post-Upgrade

• There are few changes in the pinot database which requires Pinot server to be restarted post upgrade with following command

  Code Block
  language bash
  kubectl rollout restart sts -n kfuse pinot-server-offline pinot-server-realtime

Upgrading to Kfuse version 2.6

Pre-Upgrade

• A new kfuse-ssd-offline storage class has been introduced in Kfuse version 2.6. This storage class uses gp3 on AWS, pd-balanced on GCP, and Standard_LRS on Azure. This is now the default storage class for Pinot Offline Servers, which should give better disk IO performance.

• If the custom values yaml is already set to use the specified disk type (e.g., kfuse-ssd-aws-gp3 or standard-rwo on GCP), then the remaining steps can be skipped.

• If the custom values yaml does not explicitly set the pinot.server.offline.persistence.storageClass field or it is set to a different storage class. Ensure that the field is not set in the custom values yaml. Then run the following commands

  Code Block
  kubectl delete sts -n kfuse pinot-server-offline kubectl delete pvc -l app.kubernetes.io/instance=kfuse -l component=server-offline -n kfuse

• Note that the above commands corresponds to the PVCs of the Pinot offline servers. After upgrade to Kfuse version 2.6, PVCs with the desired storage class will be created for the Pinot offline servers.

Upgrading to Kfuse version 2.5.3

Pre-Upgrade

• Based on observation and feedback, it seems the current persistent volume size for zookeeper pods is getting full quite often. To remediate that we have increased the default size of all zookeeper pods to 32Gi. It needs changes in two places as shown below

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• Please update this prior to update with the resize_pvc.sh script. Please reach out if you need assistance.

Post-Upgrade

• There are few changes in the pinot database which requires the some of the services to be restarted post upgrade with following command

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Upgrading to Kfuse version 2.5.0

Post-Upgrade

• There are few changes in the pinot database which requires the some of the services to be restarted post upgrade with following command

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Upgrading to Kfuse version 2.2.4

Post-Upgrade

• There are few changes in the pinot database which requires the pinot-* servers to be restarted post upgrade with following command

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Upgrading to Kfuse version 2.2.3

Pre-Upgrade

• The default value for pinot zookeeper persistence (PVC) value is now 32Gi.

• If the existing Kfuse installation is using the default value (i.e., custom_values.yaml did not explicitly specify the persistence size for pinot zookeeper), update the pinot zookeeper persistence (PVC) value to 16Gi. Add the following snippet under pinot.zookeeper section:

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Upgrading from Kfuse version 2.1 or earlier

Post-Upgrade

• Kloudfuse provided alerts organization has been updated for better maintenance. Make sure to remove old version.

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Upgrading from Kfuse version 2.0.1 or earlier

Post-Upgrade

• The Kfuse-provisioned dashboard has been cleaned up. Run the following command:

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Upgrading from Kfuse version 1.3.4 or earlier

Pre-Upgrade

• Note: Kfuse services will go offline during this process. Kloudfuse storage class configuration has been simplified to keep future releases/features in mind. This requires running the migrate_storage_class.sh script provided by Kloudfuse team.

  Code Block
  ./migrate_storage_class.sh

  After running the script, ensure that the pvc’s storage class has kfuse-ssd, instead of kfuse-ssd-gcp or kfuse-ssd-aws.

  Code Block
  kubectl get pvc -n kfuse

• Old alerts have to be removed. Kloudfuse alerts organization has changed with the introduction of additional alerts. New version does the organization automatically, however, the older alerts have to be removed.

  • Manually remove all alerts by navigating to the grafana tab and remove all alerts from kloudfuse_alerts and kubernetes_alerts folder.

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Post-Upgrade

• Older kubernetes secret related configuration needs to be removed from the custom values.yaml file. Also kfuse-credentials secret can be removed.

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Upgrading from Kfuse version 1.3.2 or earlier

Post-Upgrade

• There is a schema change introduced in version 1.3.3. Make sure to restart the Pinot servers after upgrade completes.

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Upgrading from Kfuse version 1.2.1 or earlier

Pre-Upgrade

• Advance monitoring is available as an optional component in 1.3 and later releases. To enable:

  • Knight agent is required to be installed. Please review steps/settings here.

  • Additional agent settings required. Please review settings here.

• Starting Kfuse version 1.3.0, Kfuse has added retention support using Pinot Minion framework. This feature requires changes to the existing Pinot Minion statefulset. The statefulset needs to be deleted prior to upgrade.

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A breaking change related to the number of postgresql servers installed as part of the Kfuse install was introduced after Kfuse version 1.1.0. Due to this, the stored alerts will be deleted if directly upgrading Kfuse. In order to retain the stored alerts, run the following pre and post upgrade steps below. Note that until the post-upgrade steps are executed, alerts & dashboards from pre-upgrade will not show up.

Pre-Upgrade

kubectl exec -n kfuse alerts-postgresql-0 --  bash -c 'PGPASSWORD=$POSTGRES_PASSWORD pg_dump -U postgres -F c alertsdb' > alertsdb.tar

Post-Upgrade

kubectl cp -n kfuse alertsdb.tar kfuse-configdb-0:/tmp/alertsdb.tar
kubectl exec -n kfuse kfuse-configdb-0 --  bash -c 'PGPASSWORD=$POSTGRES_PASSWORD pg_restore -U postgres -Fc --clean --if-exists -d alertsdb < /tmp/alertsdb.tar'
kubectl delete pvc -n kfuse data-alerts-postgresql-0
kubectl delete pvc -n kfuse data-beffe-postgresql-0
kubectl delete pvc -n kfuse data-fpdb-postgresql-0

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