Planning for Performance and Capacity Management in Virtual Environments.
This technical ressource paper called Planning for Performance and Capacity in Virtual Environments, was written by Scott Herold and David Davis. They discusses the change in the management which occurred when the shift from physical to virtual has occurred. How to deal with that change now by introducing capacity management to maintain VM performance.
This technical paper i part of my Free Ressouce E-books page.
VM performance is crucial, since bad performance affects everyone. To increase VM performance, you can try to add more resouces, throw in more hardware, but it’s not always helpful. You need to look more precise what’s affecting your VM performance. Is ist the network, storage, CPU or memory? What if it’s the one of the storage processors on your SAN? The process of finding out what’s wrong can be done many ways.
Before virtualization, physical servers had one operating system and one application. If the server ran out of, let’s say, memory then the application running on it would be impacted – but no other servers or applications would feel that pain. After virtualization, all those same operating systems and applications (the “servers”) are running on a single physical host as virtual machines.
Scott Herold - leads product design and architecture for Quest’s Virtualization Management Division. With more than a decade of industry experience in operating system, network, security and storage design, Scott is a pioneer in architecting advanced virtualization solutions
David Davis - He has written hundreds of virtualization articles on the Web, is a vExpert, VCP, VCAP-DCA, and CCIE #9369 with more than 18 years of enterprise IT experience.
- Complexities of the New Datacenter Affect Everyone
- Capacity and Performance – Before and After Virtualization
- The Answer is Capacity Management
- Capacity Management in Four Steps
- 3 Key Takeaways for Planning Performance and Capacity
Not only has application infrastructure and datacenter infrastructure changed, but end users have changed their mindset and expectations. Sure, dealing with end users’ issues has always been challenging (OS crashes, hardware failure, viruses, etc.) Today, users want to connect with any type of device – PC, laptop, tablet, mobile phone, or web browser – and desktop virtualization must be implemented, further complicating the troubleshooting of performance and capacity issues.
VM performance is maintained by planning the capacity. Capacity is NOT about how much you can cram into your Hosts/Clusters.
Capacity Management in Four Steps
#1 Analyze Utilization
#2 Analyze Trending
#3 Forecast Capacity
When considering adjustments, ask yourself these questions:
• If I add more capacity, how many more objects can I add?
• If I add more capacity, how does that modify when I will run out?
• If I decrease capacity, can I still run the remaining workload?
• If I optimize my existing capacity, how many more
Get the paper from this link: Planning for Performance and Capacity in Virtual Environments