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

VMware vRealize Operations Performance and Capacity Management

By : Rahabok
4.7 (6)
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VMware vRealize Operations Performance and Capacity Management

VMware vRealize Operations Performance and Capacity Management

4.7 (6)
By: Rahabok

Overview of this book

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.
Table of Contents (10 chapters)
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Preface
Preface
What this book covers
What this book is not
What you need for this book
Who this book is for
Conventions
Reader feedback
Customer support
Free Chapter
1
1. Virtual Data Center – It's Not a Physical Data Center, Virtualized
1. Virtual Data Center – It's Not a Physical Data Center, Virtualized
Our journey into the virtual world
Not all "virtualizations" are equal
Virtual Machine – it is not what you think!
Software-Defined Data Center
A virtual data center versus a physical data center
Management disciplines impacted by virtualization
Summary
2
2. Capacity Management in SDDC
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2. Capacity Management in SDDC
Shift in capacity management
Capacity management at the VM level
Capacity management at the infrastructure level
Summary
3
3. Mastering the Key Counters in SDDC
3. Mastering the Key Counters in SDDC
First things first – the purpose
Compute
Network
Storage
Metric groups
Counters in vCenter and vRealize Operations
Summary
4
4. CPU Counters
4. CPU Counters
CPU counters at the VM level
CPU counters at the ESXi level
CPU counters at the cluster level
CPU counters at higher levels
CPU contention guidance
Summary
5
5. Memory Counters
5. Memory Counters
Memory – not such a simple matter
Memory counters at the VM level
Memory counters at the ESXi level
Memory counters at the cluster level
Memory counters at higher levels
Memory contention guidance
Summary
6
6. Network Counters
6. Network Counters
Network monitoring and management
Network counters at the VM level
Network counters at the ESXi level
Network counters at the cluster level
Network counters at the Distributed Switch level
Network counters at higher levels
Summary
7
7. Storage Counters
7. Storage Counters
The multilayer storage
Storage counters at the VM level
Storage counters at the ESXi level
Storage counters at the cluster level
Storage counters at the datastore level
Storage counters at the datastore cluster level
Storage counters at the higher level
Storage contention guidance
Summary
8
8. Dashboard Examples and Ideas
8. Dashboard Examples and Ideas
Planning for your dashboards
Use case – is virtualization causing a problem?
Use case – managing the overall SDDC performance
Use case – dashboards for the big screen
Use case – storage performance management
Use case – storage capacity management
Use case – network performance management
Use case – right-sizing large VMs
Use case – capacity planning
Summary
References
9
Index
Index

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...

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