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IBM Turbonomic with KubeTurbo

Unified Control of Kubernetes and Red Hat OpenShift Services, Workloads, Platform and Infrastructure

Kubeturbo leverages IBM Turbonomic's patented analysis engine to provide visibility and control across the entire stack in order to assure the performance of running micro-services in Kubernetes Pods, as well as the efficiency of underlying infrastructure.

NOTE: New Kubeturbo versions are released with and match the Turbonomic Product Version, detailed here

What's New

NOTE: All Kubeturbo deployment related documentation is now in the official IBM Docs here. Portion of this GitHub wiki related to Deployment and Configuration is not being updated, please refer to the official IBM Docs going forward. Portions related to use cases are still here.

In 8.10.6 we will block execution of resize actions of workloads that are operator controlled by leveraging auto-created groups of Container Specs discovered with an operator owner reference. For users that have an ORM, which will allow these resize actions to occur, you can exclude your workloads from this group. Additionally workloads that are part of System namespaces, such as kube-system or openshift-* will be automatically excluded from generating resizing actions. To modify these configurations, see the wiki page here

In 8.10.5, in collaboration with Cloud Pak for Data, we have introduce a special packaging of Turbonomic for CP4D customers. Learn more here.

In 8.10.4 we are happy to announce support for Service Level Objective (SLO) Based horizontal scaling actions for Dynatrace as the APM source of data. This release introduces support for SLO based horizontal scaling actions for Dynatrace to maintain SLOs for your applications that are hosted in Kubernetes clusters. With these actions, you can scale the replicas that are horizontally scalable Kubernetes Services. For details on how to set up this target type, see Dynatrace in the IBM Turbonomic docs.

In 8.10.3, IBM Cloud Red Hat OpenShift Clusters when deployed in Azure via IBM Cloud Satellite now support stitching in Turbonomic where you will see the Red Hat OpenShift Node stitched to the Azure VM and infrastructure supporting the cluster. For more information on enabling this support go to the IBM Docs here

Check out the details for the latest kubeturbo updates here in IBM Turbonomic Documentation, and Release Notes for more details on fixes for each version.. For IBM Turbonomic Server and product updates with release notes, go here.

SLO based control ). Read the blog here

Manage horizontal scaling of services without thresholds
Manage the trade-offs of performance, availability of resources, and compliance
Leverage your SLO data to add response time and throughput leveraging telemetry data collected - Istio, Prometheus, Instana and now Dynatrace!

Be more sustainable

We have made improvements in versions 8.3.5-8.3.3 in the following use cases:

Node Pool/Group and OCP MachineSets Turbonomic will visualize Node pool/groups and OpenShift machine sets for clusters, and when we horizontally scale a public cloud based node pool, you can also see a summary of cost investment and savings associated with managing cluster capacity

StatefulSet Resizing Turbonomic will allow a user to execute a resize on a stateful set type in a running environment. Previously the action was automatically failed. These actions can still be integrated with a pipeline.

With the release of 8.3.1, we are pleased to announce

CPU Throttling Turbonomic can now recommend increasing vCPU limit capacity to address slow response times associated with CPU throttling. As throttling drops and performance improves, it analyzes throttling data holistically to ensure that a subsequent action to decrease capacity will not result in throttling.
Power10 Support KubeTurbo now supports Kubernetes clusters that run on Linux ppc64le (including Power10) architectures. Select the architecture you want from:
- Docker Hub for KubeTurbo version 8.3.1 to 8.7.4 (docker.io/turbonomic/kubeturbo:<version>)
- IBM Container Registry for Kubeturbo 8.7.5 and higher (icr.io/cpopen/turbonomic/kubeturbo:<version>)