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  • Book Overview & Buying 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)
Buy this Book
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VMware vRealize Operations Performance and Capacity Management

VMware vRealize Operations Performance and Capacity Management

4.7 (6)
By: Rahabok
Buy this Book

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

Network

From the point of performance and capacity management, network has different fundamental characteristics of CPU or RAM:

  • The first difference is that the resources available to your VM (which is what we care about at the end of the day) are a lot lower and more dynamic. The ESXi host has a fixed specification (for example, 2 CPUs, 36 cores, 256 GB RAM, 2 x 10 GEs) and we know the upper physical limit. However, the hypervisor consumes a relatively low proportion of resources, almost negligible, for CPU and RAM. Even if you add a software-defined storage such as Virtual SAN, you are looking at around 10 percent total utilization. The same cannot be said about network. Mass vMotion (for example, when the host enters maintenance mode), storage vMotion (for IP storage), VM provisioning or cloning (for IP storage), and Virtual SAN all take up significant bandwidth. In fact, the non-VM network takes up the majority of the ESXi resources.
  • The second difference with the VM network is the resource...

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