IBM recently closed the acquisition of AI-powered Application Resource Management software to optimize performance, compliance, and cost in real time.
In this blog, we will understand the:
Turbonomic Deployment Options
- Deployment options for Turbonomic,
- How-to deploy Turbonomic on Openshift,
- Understanding Targets in Turbonomic and their configuration
- Understanding Policies
Turbonomic deploys with the following options:
for details on deployment options available for Turbonomic
for sizing guidance on Turbonomic. Deployment on Openshift
Turbonomic operator is available through the IBM Red Hat Operator Hub
and can be installed in the Openshift environment. There are 3 distributions available by default in Operator hub based on Provider types:
Choose one of them as per your requirement and purchase model. I chose the Certified Operator for my Openshift cluster on IBM Cloud.
You can install Turbonomic Operator via
1. Openshift console as described https://developer.ibm.com/depmodels/microservices/tutorials/improve-performance-efficiency-openshift-deployments-turbonomic-instana/
2. Through CLI as described https://github.com/turbonomic/t8c-install/blob/master/DEPLOY.md
After the Operator is installed. Next step is to deploy the Xl (Custom resource) step 4 and 5
Note that while configuring the Xl, ensure that you enable the Targets which you want to configure and work with after Turbonomic is installed. Although this can be changed (enabled/disabled) later as well.
Once the Xl is created and deployed, access the Turbonomic via the route created as described in step 6
Set up your admin username and password and once logged in upload your license. NOTE:
License file can be obtained from the Turbonomic installer archive available in IBM internal software catalog (XL) for IBMers and Software access catalog for Partners.
Once the license file is uploaded, you are good to proceed with configuring the Targets in Turbonomic.Understanding Targets
Turbonomic uses targets to monitor workload and to execute actions in your environment. Refer docs
for technologies supported as Targets. Go to Settings > Target configurations > New Target
and you should see the Targets that you enabled while configuring the Turbonomic CR (Xl) e.g. if you enabled KubeTurbo, Instana, MySql you should see them here under respective category. KubeTurbo
When KubeTurbo is enabled it automatically discovers the local cluster where Turbonomic is deployed. However you can add more Kubernetes Target by installing KubeTurbo operator. Though Turbonomic is agentless, but for k8 clusters as targets, you need to setup KubeTurbo in the target cluster which communicates with the remote Turbonomic server as shown below.
on Pre-requisites for KubeTurbo setup.
for steps to deploy KubeTurbo Operator on K8/OpenshiftNOTE:
Kubeturbo communicates with the Turbo Server, supply topology-processor service route as the Turbonomic Server
endpoint while configuring kubeturbo. This is already created as part of the Turbonomic deployment as shown below:
When Instana is enabled as Target in Turbonomic, you can configure it with the Instana instance, to allow Turbonomic to pull metrics from Instana. Follow Step 7
for configuring Instana target into Turbonomic. Below figure depicts this integration.
Likewise, you can enable the supported Targets
and configure them, for Turbonomic to discover and collect the metrics from them.
Below is a snapshot where 3 targets are configured:
Local k8 cluster (Openshift) where Turbonomic is deployed
Another Openshift cluster
It may take sometime for Turbonomic to fully discover the targets, collect data and generate the supply chain. As shown below, Turbonomic has discovered the entire supply chain from Business Application, Business Transaction to virtual machine and storage. It also shows how different entities in the supply chain are connected to each other.Understanding Policies
Turbonomic defines a set of default policies
for each entity type however users can define their own policies for each entity in supply chain based on business requirements. Policies define business rules to control how analyzes resource allocation, how it displays resource status, and how it recommends or executes actions. Policies can be accessed from Settings -> Policies
as shown below:
This code pattern
talks about creating custom policy for business application entity to track application response time SLO. Scope and schedule can be defined for custom policies to only impact specific group of resources, not all. Summary and Conclusion
In this blog we have covered how to deploy turbonomic on openshift, other deployment options for turbonomic, understanding targets and how to enable and configure them, how to define policies to control Turbonomic resource assessment.#turbonomic#Openshift#how-to#configure#Policy