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VMware vRealize Operations Performance and Capacity Management
VMware vRealize Operations Performance and Capacity Management

VMware vRealize Operations Performance and Capacity Management: A hands-on guide to mastering performance and capacity management in a virtual data center

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VMware vRealize Operations Performance and Capacity Management

Chapter 2. Capacity Management in SDDC

Capacity management changes drastically with virtualization. In this chapter, we will explain why it is one of the areas that is greatly impacted by virtualization. We will cover the following topics:

  • Why capacity management is split into two distinct areas
  • How you should perform capacity management at the VM level
  • How you should perform capacity management at the infrastructure level

We explain how each component (compute, storage, and network) are changed and how you should plan for it.

Shift in capacity management

The changes to capacity management can be largely grouped into two areas:

  • Operationally, virtualization changes the IT infrastructure team from system builder to service provider. The application team no longer own the physical infrastructure, and it is now a shared infrastructure. This creates a two-tier capacity management:
    • At the VM level, capacity management is done by the application team. They determine the size of their VM, and then buy the capacity from the infrastructure team. They need to adjust the size, as oversizing leads to performance issues.
    • At the physical infrastructure level, the infrastructure team must perform capacity management as a single team. The joint team must take care of computing, networking, storage, and DR. The mindset has to change from that of a system builder to a service provider.
  • Architecturally, the infrastructure moves from a bespoke system to standardized hardware. The application team no longer need to dictate the specifications...

Capacity management at the VM level

There are some tips you can give to your customers and policies you can set to keep things simple. For a start, keep the building blocks simple—one VM, one OS, one application, and one instance. So, avoid having one OS running the web, app, and DB server or avoid having one Microsoft SQL server running five instances of databases. The workload can become harder to predict as you cannot isolate them. It is recommended to adjust the size of the peak workload for a production environment. A month-end VM needs to be sized based on the month-end workload. For a non-production environment, you may want to tell the application team to opt for a smaller VM, because the vSphere Cluster where the VM is running is oversubscribed. The large VM may not get the CPU it asks for if it asks for too many.

Be careful with those VMs that have two distinct peaks: one for CPU resources and another one for memory resources. I have seen this with a telecommunications client...

Capacity management at the infrastructure level

At the infrastructure level, you look at the big picture. Hence, it is important that you know your architecture well. One way to easily remember what you have is to keep it simple. Yes, you can have different host specifications—CPU speed, amount of RAM, and so on in a cluster. But, that would be hard to remember if you have a large farm with many clusters.

You also need to know what you actually have at the physical layer. If you don't know how many CPUs or how much RAM the ESXi host has, then it's impossible to figure out how much capacity is left. I will use storage as an example to illustrate why this is important. Do you know how many IOPS your storage has?

The majority of shared storage is shared with both ESXi and non-ESXi servers mounted. Even if the entire storage is dedicated to ESXi, there is still the physical backup server mounting it, and it might be doing array-based replication or a snapshot.

Some storage support...

Summary

In this chapter, we discussed how you should approach capacity management in the virtual data center. We shared that there is a fundamental shift, resulting in a two-tier model. The application team performs capacity management at the VM layer, and the infrastructure team performs at the infrastructure layer.

In Chapter 1, Virtual Data Center – It's Not a Physical Data Center, Virtualized, we have explained in depth why virtualization has large ramifications in both architecture and operations. We also covered the impact to how we manage. In this chapter we focused on capacity management. We are now ready to dive deeper into the technical discussion. Chapter 3, Mastering the Key Counters in SDDC, will start it by discussing the counters and how they are used.

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Description

If you are an IT professional who is interested in performance management and capacity management in a virtual data center, then this book is ideal for you. The book is an intermediate-level book.

What you will learn

  • Educate and convince your peers on why and how performance and capacity management change in a virtual data center
  • Correct many misconceptions about virtualization
  • Discover how your peers operationalize their vRealize Operations
  • Master all the key metrics in vSphere and vRealize Operations
  • Be confident in performance troubleshooting with vSphere and vRealize Operations
  • See reallife examples of how super metric and advance dashboards make management easier
  • Develop rich custom dashboards with interaction and super metrics

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Dec 26, 2014
Length: 276 pages
Edition : 1st
Language : English
ISBN-13 : 9781782174530

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Product Details

Publication date : Dec 26, 2014
Length: 276 pages
Edition : 1st
Language : English
ISBN-13 : 9781782174530

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Table of Contents

9 Chapters
1. Virtual Data Center – It's Not a Physical Data Center, Virtualized Chevron down icon Chevron up icon
2. Capacity Management in SDDC Chevron down icon Chevron up icon
3. Mastering the Key Counters in SDDC Chevron down icon Chevron up icon
4. CPU Counters Chevron down icon Chevron up icon
5. Memory Counters Chevron down icon Chevron up icon
6. Network Counters Chevron down icon Chevron up icon
7. Storage Counters Chevron down icon Chevron up icon
8. Dashboard Examples and Ideas Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon

Customer reviews

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Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.7
(6 Ratings)
5 star 66.7%
4 star 33.3%
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Mark Monce May 22, 2015
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I have been a VMware employee for over seven years, working in the area of Performance and Capacity Management. I can say without reservation this is the book that VMware professionals have been awaiting for years. There is a huge need for clarity with these issues, in addition to many misconceptions and confusion. Iwan has done a great service to clarify these topics. If you are operating vSphere, this is a must read even if you are not using vRealize Operations (or it's predecessor, vCOPs). The principles of managing performance and capacity in virtualized environments alone are worth the purchase price of this book. Well done Iwan!!!
Amazon Verified review Amazon
Anand Jan 28, 2015
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great book, must have book and tool if you are 70% virtualized and still using stone age monitoring tools that do not differentiate between physical host and vm.
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David Espejo Feb 02, 2015
Full star icon Full star icon Full star icon Full star icon Full star icon 5
The book excels the treatment of topics for a diverse audience, discussing topics from the fundamental differences between the physical and virtual data center physical (as a CxO would understand it) to the deep-dive into a subject whose documentation has been remarkably little in the past : vROPs metrics definitios and its relationship with vCenter. So a comprehensive approach that focuses on important and often overlooked issues, makes the book a valuable resource.As if the contributions mentioned were not enough, Iwan Rahabok adds a chapter on a topic that is usually treated very operatively but has lacked the component of planning and design: creating vROPs custom dashboards that, altough implies require Advanced or Enterprise Licensing, is a feature that definitely exploits a lot of the vROPs potential for preventive monitoring and visualization of key indicators of the virtual data center.
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Emad Jan 26, 2017
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Great book I recommend it
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Petertfu May 11, 2015
Full star icon Full star icon Full star icon Full star icon Empty star icon 4
This is a great starter book for anyone who wants to take a deep dive into performance analysis in vSphere environments. It explains the various nuances of performance in great detail and provides a lot of useful examples to help the reader understand virtualization specific concepts. I enjoyed the comparisons the author provides on what metrics you get from vCenter versus vROps, how they differ, and what to pay attention to. The only shortcoming I can see is that the author does not provide the formulas for the Super Metrics he recommends you create in vROps. However, he does go into some Super Metrics and related topics on his blog. Enjoy!
Amazon Verified review Amazon
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