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Customizing BladeSystem Matrix Allocation Rules Engine for Multi-tenancy Solutions

Early this week I was in a couple of halo meeting sessions with folks in our Bangalore India location, taking about "the next big thing". It reminded me that the last thing we worked on - exposing an extensible rules engine into the allocation and placement - was part of the BladeSystem Matrix 6.0 release. I wanted to talk a little about that capability today and give an example of how it can be used in deployments involving multi-tenancy.


BladeSystem Matrix Allocation and Placement Rules











Allocation and placement has always been a key function of BladeSystem Matrix.


When multi-tier service designs (represented my templates) are submitted for instantiation, it is the allocation and placement function that looks at the requirements for the service in terms of individual element specifications, desired service topology and lease period and them binds these to the available resources in the environment based on their characteristics and capacity, availability calendar, and physical topology.


In BladeSystem Matrtix 6.0, this allocation process can be customized by an extensible rules engine. Overall there are 18 different allocation rule sets that can be extended as shown in figure 1. The policy.xml file specifies which of the rule sets should be used. These are further explained the in the Insight Orchestration User Guide on page 48.


 



 
Figure 1 Extensible Rules sets




 


Mutl-tenancy Example











A very common use case I hear from customers is the desire to have a common design for a service but to have some aspects of the resource binding to be determined by the identity of the service owner.


In this scenario, we consider a provider who is servicing two competitors like Marriott and Hilton hotels but wants to put offer a common service template in the catalog. The desire is that when Marriott deploy a new instance of the service, that service instance would connect to Marriott-Corporate network segment. However, if Hilton deploy the service, then their service instance would connect to the Hilton Corporate network segment.




Figure 2. Pre-configured networks for the two competing  corporations




Setting up your Service Template











Here we show a portion of a simple single server template as an illustrative example. This is a multi-homed server with



  • 1. a connection to the corporate network. The network is named "@corporate". Later on in the rule engine we will look for the "@" sign in the name to trigger special rules processing

  • 2. a connection to an internal network private to the service "net1".



 


Figure 3 Sample Multi-tenancy configuration




 Adding the processing Rule


The rules engine is based on Drools. The rules are written expressed in Java with a Drools rule semantic wrapper. I'll give you a boiler plate wrapper to get you started below. This rule and the Java function are appended to the SubnetCheck.drl file. I'm going to show a very simple example, but can imagine that the creative community will quickly come up with some more sophisticated implementations. In figure 4, I show a simple rule. The rules processing is invoked to refine the candidate networks for allocation to the new service instance. The rule runs for each network (LogicalNetwork) specified in the template, and for each candidate network in the environment. The purpose of the rule processing is to discard candidates that "don't fit".


This snippet basically extracts the information about the subnet specification in the template (the $logicalSubnet), the candidate list of networks ($subnet) from the context ($pVO). It invokes a function customerSpecificSubnetCriteriaCheck to perform the actual processing. 


rule "CustomerSpecificSubnetCriteria"
       when
               $pVO : PolicyExecutionVO( );
               $resLst : List();
               $logicalSubnet : LogicalSubnet();
               $subnet : Subnet() from $resLst;
              eval(customerSpecificSubnetCriteriaCheck($logicalSubnet, $subnet, $pVO)); 
       then
             
              // match processing is embedded in customerSpecificSubnetCriteriaCheck
              // $pVO.match($subnet, HPIOMessage.get(HPIOBundleKey.ALLOCATION_CRITERIA_CUSTOM, "CustomerSpecificSubnetCriteriaCheck succeeded"));
end


Figure 4. Boiler plate rule example


The function code is placed in the drl file after the rule statement. Here is the snippet


function boolean customerSpecificSubnetCriteriaCheck(
                                         LogicalSubnet logicalSubnet,
                                         Subnet subnet,
                                         PolicyExecutionVO pVO) {

       AllocationEntry ae = pVO.getAllocationEntry();
      
       InfrastructureService service = ae.getInfrastructureService();

       String serviceName = service.getName();
       String owner = service.getOwner().substring(owner.lastIndexOf("\\")+1); // strip domain
       String lsName = logicalSubnet.getName();
       String psName = subnet.getName();

       System.out.println("Service: " + serviceName + " Owner: " + owner);
       System.out.println("LogicalSubnet: " + lsName + "Physical Net: " + psName);
      
       boolean match;
      
       if (lsName.beginsWith("@")) {
              String key = lsName.substring(1); // strip off @
              // March @key to networks with Id "owner-key"
              match = psName.equalsIgnoreCase(owner+"-"+key);
       } else {
              // regular network. Could include additional security checks here.
              match = true;
       }
       if (match) {
              pVO.match(subnet, HPIOMessage.get(HPIOBundleKey.ALLOCATION_CRITERIA_CUSTOM,
                                                                                  "CustomerSpecificSubnetCriteriaCheck succeeded"));
       } else {
              pVO.doesNotMatch(subnet, HPIOMessage.get(HPIOBundleKey.ALLOCATION_CRITERIA_CUSTOM,
                                                                                                      "Could not find customer specific subnet"));
       }
       System.out.println("MATCH="+match);
       return match;
}


Figure 5. Rule processing example


The function starts by getting the information on the InfrastructureService being provisioned.  This contains details of the entire template being provisioned and can be used for additional context aware processing. From this object we extract the service owner name (stripping off the windows domain), as well as the name of the service. It is also possible to extract information such as the "notes" that are specified for the service where additional information may also be encoded by the requestor.  From the LogicalNetwork object we extract the name (ie "@Corporate" or "net1") in lsName. Similarly we extract the physical network name into psName.


I've included some debug lines using System.out.println . These show up in C:\Program Files\HP\Insight Orchestration\logs\hpio.log.


The purpose of this code is to return "FALSE" if the physical network is not a match candidate for the LogicalNetwork specified in the template, otherwise return "TRUE". The rules processing logic requires that if the rule allows an element to be a selection candidate, then the function pVO.match must be invoked for that element. If the element is to be eliminated from consideration, then pVO.doesNotMatch() needs to be invoked listing a reason for the exclusion. As a matter of coding style, you can either include the calls to both these routines in your custom function, OR you can just include the pVO.doesNotMatch() code in the function, and put the pVO.match() innocation in the body of the rule.


For logical networks not beginning with a "@" we just want to return TRUE and let the normal selection rules apply. For networks beginning with "@" we will be more selective, excluding candidates unless they match a specific pattern. For a logical network specified in the template with name of the form "@key" we want it to match against physical networks named "owner-key", where owner is the id of the requesting user. The logic looks for a lsName beginning with "@" and then strips off the "@" to create the key. We then test the physical server name to see if it matches the owner-key pattern.


Configuring the Code


To configure the use of the rules processing, edit C:\Program Files\HP\Insight Orchestration\conf\policy\policy.xml As shown in Figure 6. Once you have updated the policy.xml file you will need to restart the Insight Orchestration service.


<policy enabled="true" name="SubnetPolicyCheck.applyFitting">
    <policy-rule-file>SubnetCheck.drl</policy-rule-file>
    <policy-class-name>policy-class-name</policy-class-name>
</policy>


 Figure 6. Configuring rules processing


Provisioning the Service











Now we are ready to deploy the service. Logging on as user Marriott, I create the service using the template shown earlier in Figure 2. Once the provisioning completes, I can look at the service details page for more information about the service. Select the network named "@Corporate" and then click on the resource details tab. From there I see that the network has indeed been mapped to the Marriott-Corporate network by the customer allocation rules processing.



 


Figure 3 Provisioned Service details




Conclusion


The rules based processing capabilities in BladeSystem Matrix enables simple realization of customized resource allocation processing that can be used to simplify and extend Matrix template deployment. I hope this example helps others to quickly understand the capabilities enabled through this powerful engine and gives a "Quick Start" to writing your own custom rules. If you have cool examples of rule extensions you have implemented, I'd be interested in hearing about them.


Thanks to Manjunatha Chinnaswamynaika for helping me to create this example.


Happy coding :smileyhappy:


 

From #HPTF: The future is coming into focus

And BladeSystem Matrix is your lens.  If you want to understand how the the convergence of the racked, stacked and wired world changes the rules of the game, start with Matrix. 


We've talked a lot about  convergence over the last year and how it's more than just consolidating stuff. It's the fusion of infrastructure, processes, physical with virtual, facilities . . . everything . . . to create something completely new. That's why in a converged world, things start to look differently. 


Take for instance this picture.  What is the "face of Matrix"?



Did you say the rack on the left (and the stuff inside) or did you say the screen on the right (Matrix Orchestration Environment)?


As I spoke with Esther and Brad at the Matrix booth, I was curious what customers saw.   No one wanted to see inside the server, the enclosure, the switch.  It didn't matter.  That's just the pool of resouces.  The "WOW" came from how easy it was to design the architecture, do capacity planning, combine virtual and physical, set up disaster recovery and automate provisioning of complex infrastructure.  Configuring and provisioning the network, storage, and compute "just happen" within the Matrix. Right on!  One infrastructure, any workload, on the fly.  That's is the future the private cloud delivers to your data center. 


I was thrilled to hear that so many folks get it.  Connect the dots a little further . . . in a POD, from the cloud, in the rain, on a train, in a box, with a fox - you can have your infrastructure any way you want it.


In that future, you won't care about the stuff inside; only the services delivered, what they costs and how fast you can get them.  The future I see coming into focus is the converged infrastructure (melding the best of HP: NonStop, SuperDome, XP, EVA, LeftHand, ProLiant, ProCurve, and BladeSystem) all controlled and interconnected as one. Inside that "matrix cloud".  You decide how to carve up the best resources for your workloads and data and Matrix does the rest.

Thoughts on #HPTF keynote

After thinking over Paul Millers' presentation last night, here's what stuck with me.


Convergence is the mega-trend



  • It's a bigger idea with bigger implications than consolidation and unification - it's transformational

  • Convergence collapses the stack. That means fewer stuff, less cost, complexity in a converged infrastructure.

  • HP is looking at processes, applications, facilities and more as part of convergence - not just server, network, storage


Everything as a Service is about economics



  • Virtual storage delivered as service is a powerful idea for virtual infrastructures.  Think a SAN at the costs of a bunch of disks over Ethernet.  Big economic shift there.

  • Private clouds are about time to market. The example of how one HP customer could go from 33 days to 108 minutes to design, deploy and go live with their infrastructure solution is not only a huge savings, but a huge competitive advantage.

  • Extreme scale brings extreme challenges.  The economics in that reality are about pennies and seconds.  You really have to think differently.


Here are Paul's presentation slides or you can check him on video - taken as a live stream from the front row.  We'll have the fancy version on video later today.


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  • More than 25 years in the IT industry developing and managing marketing programs. Focused in emerging technologies like Virtualization, cloud and big data.
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