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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

The multilayer storage

Virtualization increases the complexity in troubleshooting storage performance. Just like memory, where we have more than one level, we have three levels for storage. At the highest level we have VMs. A VM typically has two to three virtual disks (or RDMs), such as OS drive, paging file drive, and data drive. A large database VM will have even more. We are interested in data both at the VM level and individual virtual disk level. If you are running a VM with a large data drive (for example, a Oracle database), the performance of the data drive is what the VM owner cares about the most. At the VM level, you get the average of all drives, so the performance issue can be masked. Below the VM level we have the datastore. Multiple VMs share a datastore, so it is common to have an I/O blender effect, where sequential writes on individual vmdk files become random writes at the datastore level. This can occur in either VMFS or NFS. The datastore is normally backed one to...

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