Service Management on System z Blog
barbara kennedy 2700025GG7 firstname.lastname@example.org Tags:  tivz mainframe service-management virtualization ibmtivoli 1,472 Visits
Perils, pitfalls and problems need solutions. So, I asked Jasmine Noel to continue her discussion and to focus on what an enterprise might do to address the issues. Jasmine -
Tools to Tame Heterogeneous Virtualization Management
As I mentioned in my initial blog, virtualization is elevating the daily stress for over-extended datacenter administrators to alarming levels. Higher business agility and lower capital costs through virtualization can’t be achieved without sophisticated, complete, and always-on management of heterogenous virtual computing resources. In other words, agile management of heterogeneous virtualization is critical for business agility and profitability. Hence, the reason administrator stress levels are going through the roof is that they don’t have agile management of heterogeneous virtualization.
It is vital, and not optional then, that IT organizations become adept at matching increasingly dynamic needs (be they automated workload schedules or on-demand service requests) with the resource flexibility afforded by virtualization’s rapid provisioning strengths. As such, system administrators are quickly realizing that they need to look for a different type of management solution. So what are the characteristics of this new solution type?
A policy-based approach is a key characteristic of this new solution type. Virtualization enables application images to move to different virtual machines very quickly (in some cases before admins get a chance to check their emailed service tickets). Policies enable IT to introduce some necessary controls around those moves and changes. Policies can also simplify the workload to resource matching process. For example, policies can ensure that multiple workloads all run on the same virtual machine in a particular datacenter location, or incorporate time of day requirements so that a workload spans ten virtual machines during the day but thirty virtual machines at night.
Centralized management of dense computing infrastructures (be they Blades, packaged Cloud systems, or mainframes) appears to be a natural extension of this phenomena because for the first time, administrators truly need a centralized management platform to manage virtual systems. Many IT organizations are learning the hard way about the sprawl created when virtual images are deployed at will with minimal oversight or visibility into how the environment is changing. System administrators need management solutions that make oversight and resource visibility as quick and seamless as deploying the virtual images. Solutions which afford centralized control over all virtualization options and extend across a diverse infrastructure enable optimal use of administrators’ time.
Besides centralization, the solution should also have a workflow-based approach to automation embedded in its design. Automating the many other tasks (patching, security checks, compliance checks, etc.) that surround virtual image deployment drive down the business risk of high-speed image deployment. When these tasks are orchestrated as complete workflows, IT productivity skyrockets, which gives administrators the time to focus on policy design and decision-related resource analysis.
There is no escaping these solution requirements. The system management status quo can’t deliver the agile management of heterogeneous virtualization that is essential for business agility and profitability. What administrators can do is demand that management vendors prove how they deliver on these requirements.
IBM is a client of Ptak Noel and has provided compensation to Ptak Noel for participation in this interview.
Raymond Sun 060000ASTK email@example.com Tags:  service-management mainframe linux tivz ibmtivoli virtualization 1 Comment 2,241 Visits
Did you know that System z was a great platform for a private cloud? Software Group did a benchmark comparing a popular Intel based hypervisor to z/VM and observed the impact to CPU utilization, throughput (transactions per second), and response time of a sample application as they varied the number of virtual servers. Their results are documented in a paper: http://www.ibm.com/common/ssi/fcgi-bin/ssialias?infotype=SA&subtype=WH&appname=STGE_ZS_ZS_USEN&htmlfid=ZSW03125USEN&attachment=ZSW03125USEN.PDF
There is a companion paper that discusses the TCO implications of private cloud versus public cloud: http://www.ibm.com/common/ssi/fcgi-bin/ssialias?infotype=SA&subtype=WH&appname=STGE_ZS_ZS_USEN&htmlfid=ZSW03126USEN&attachment=ZSW03126USEN.PDF
Have you noticed that when the press talks about cloud, they're typically not talking about System z? I wonder why. I have some theories, but would be interested in your perspective.
Raymond Sun 060000ASTK firstname.lastname@example.org Tags:  ztiv service-management tivz ibmtivoli linux mainframe 2 Comments 1,949 Visits
As you consider moving workloads to Linux on System z, you will want to evaluate which workloads are the best fit. Ideally, data intensive or mixed workloads are best suited for System z whereas CPU intensive workloads may be better run on other platforms. On a recent webcast where I was co-presenting with Bill Reeder (IBM Linux Enterprise Servers), we discussed best workloads for Linux on System z which leverages the strengths of System z like WebSphere MQ, Domino, SAP. We also talked about good workloads for Linux on System z which run well on Linux on System z but can also run on other platforms. So, there are other factors (e.g. organizational politics) which must be evaluated in deciding the ideal platform for workloads.
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barbara kennedy 2700025GG7 firstname.lastname@example.org Tags:  tivz omegamon service-mgmt ztiv zos ibmtivoli mainframe 1 Comment 1,850 Visits
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