Following the evolution curve of infrastructure performance management, whereby most legacy data centers sprung up with multiple vendors and disparate and dispersed assets, the challenge to gaining a ‘single source of truth’ for performance management analytics have only become harder, especially as service assurance models demand end-to-end visibility to end-user quality of experience. How, then, is a virtualization systems administrator expected to “keep the peace,” if you will, across multiple layers of data centers, networking, storage, compute, application and cloud infrastructures? Here are the eight-great questions to ask as you evaluate whether virtualization management tools provide true cross-silo visibility and service assurance analytics to avoid the IT blame game and eliminate finger pointing altogether: 1. How much do outages and latency really cost you in time? 2. What are the operating costs for remote site tech support? 3. What are the intangible costs from customer dissatisfaction? 4. Do you really have the most scalable infrastructure tools? 5. How do you prove where and when the problems actually occur? 6. How can you consolidate multiple silo-based tools? 7. What will allow you to successfully provision VDI services? 8. Wouldn’t it be great to troubleshoot problems before my users do! Read our blog for more information: http://blog.xangati.com/news/keeping-the-peace-in-the-modern-data-center/

1. Keeping the Peace in the Data Center
August 19, 2015
Atchison Frazer
VP-Marketing

2. SaaS apps driving requirements
for cross-silo data intelligence for
hybrid-cloud environments
NOW:
Hybrid-Cloud
Infrastructure
Workload flexibility and
server cost reduction
expectations measured by
productivity gains
Virtualization
Always on high availability
infrastructure and
connectivity measured by
continuous uptime
Internet
Powerful microcomputers
measured by capital
equipment and
power/management cost
reductions
Client-Server
Demand for Big Data and
storage-intensive apps, e.g.,
Internet video, measured by
uptime and low latency
Converged
Hot swap systems and thin-
client virtualization
functionality measured by
expandable capacity
Mainframe
2010’s: Converged
2000’s: Virtualization
1990’s: Internet
1980’s: Client-Server
1970’s: Mainframe
Evolution of the Data Center & Performance Metrics

3. Xangati Virtual Infrastructure Performance Topology
Download a free trial:
http://xangati.com/downloads/