Tag Archives: contention

Example VMware vNetworking Design w/ 2 x 10GB NICs (IP based or FC/FCoE Storage)

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I have had a large response to my earlier example vNetworking design with 4 x 10GB NICs, and I have been asked, “What if I only have 2 x 10GB NICs”, so the below is an example of an environment which was limited to just two (2) x 10GB NICs and used IP Storage.

If your environment uses FC/FCoE storage, the below still applies and the IP storage components can simply be ignored.

Requirements

1. Provide high performance and redundant access to the IP Storage (if required)
2. Ensure ESXi hosts could be evacuated in a timely manner for maintenance
3. Prevent significant impact to storage performance by vMotion / Fault Tolerance and Virtual machines traffic
4. Ensure high availability for all network traffic

Constraints

1. Two (2) x 10GB NICs

Solution

Use one dvSwitch to support all VMKernel and virtual machine network traffic and use “Route based of Physical NIC Load” (commonly refereed to as “Load Based teaming”).

Use Network I/O control to ensure in the event of contention that all traffic get appropriate network resources.

Configure the following Network Share Values

IP Storage traffic : 100
ESXi Management: 25
vMotion: 25
Fault Tolerance : 25
Virtual Machine traffic : 50

Configure two (2) VMKernel’s for IP Storage and set each on a different VLAN and Subnet.

Configure VMKernels for vMotion (or Multi-NIC vMotion), ESXi Management and Fault Tolerance and set to active on both 10GB interfaces (default configuration).

All dvPortGroups for Virtual machine traffic (in this example VLANs 6 through 8) will be active on both interfaces.

The above utilizes LBT to load balance network traffic which will dynamically move workload between the two 10GB NICs once one or both network adapters reach >=75% utilization.

vNetworking BLOG 2x10gb

Conclusion

Even when your ESXi hosts only have two x 10Gb interfaces, VMware provides enterprise grade features to ensure all traffic (including IP Storage) can get access to sufficient bandwidth to continue serving production workloads until the contention subsides.

This design ensures that in the event a host needs to be evacuated, even during production hours, that it will complete in the fastest possible time with minimal or no impact to production. The faster your vMotion activity completes, the sooner DRS can get your cluster running as smoothly as possible, and in the event you are patching, the sooner your maintenance can be completed and the hosts being patched are returned to the cluster to serve your VMs.

Related Posts

1. Example Architectural Decision – Network I/O Control for ESXi Host using IP Storage (4 x 10 GB NICs)
2. Network I/O Control Shares/Limits for ESXi Host using IP Storage

Example Architectural Decision – Network I/O Control Shares/Limits for ESXi Host using IP Storage

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Problem Statement

With 10GB connections becoming the norm, ESXi hosts will generally have less physical connections than in the past where 1Gb was generally used, but more bandwidth per connection (and in total) than a host with 1GB NICs.

In this case, the hosts have only to 2 x 10GB NICs and the design needs to cater for all traffic (including IP storage) for the ESXi hosts.

The design needs to ensure all types of traffic have sufficient burst and sustained bandwidth for all traffic types without significantly negatively impacting other types of traffic.

How can this be achieved?

Assumptions

1. No additional Network cards (1gb or 10gb) can be supported
2. vSphere 5.1
3. Multi-NIC vMotion is desired

Constraints

1. Two (2) x 10GB NICs

Motivation

1. Ensure IP Storage (NFS) performance is optimal
2.Ensure vMotion activities (including a host entering maintenance mode) can be performed in a timely manner without impact to IP Storage or Fault Tolerance
3. Fault tolerance is a latency-sensitive traffic flow, so it is recommended to always set the corresponding resource-pool shares to a reasonably high relative value in the case of custom shares.
4. Proactively address potential contention due to limited physical network interfaces

Architectural Decision

Use one dvSwitch to support all VMKernel and virtual machine network traffic.

Enable Network I/O control, and configure NFS and/or iSCSI traffic with a share value of 100 and ESXi Management , vMotion & FT which will have share value of 25. Virtual Machine traffic will have a share value of 50.

Configure the two (2) VMKernel’s for IP Storage on dvSwitch and set to be Active on one 10GB interface and Standby on the second.

Configure two VMKernel interfaces for vMotion on the dvSwitch and set the first as Active on one interface and standby on the second.

A single VMKernel will be configured for Fault tolerance and will be configured as Active on one interface and standby on the second.

For ESXi Management, the VMKernel will be configured as Active on the interface where FT is standby and standby on the second interface.

All dvPortGroups for Virtual machine traffic will be active on both interfaces.

Justification

1. The share values were chosen to ensure IP storage traffic is not impacted as this can cause flow on effects for the environments performance. vMotion & FT are considered important, but during periods of contention, should not monopolize or impact IP storage traffic.
2. IP Storage is more critical to ongoing cluster and VM performance than ESXi Management, vMotion or FT
3. IP storage requires higher priority than vMotion which is more of a burst activity and is not as critical to VM performance
4. With a share value of 25,  Fault Tolerance still has ample bandwidth to support the maximum supported FT machines per host of 4 even during periods of contention
5. With a share value of 25, vMotion still has ample bandwidth to support multiple concurrent vMotion’s during contention however performance should not be impacted on a day to day basis. With up to 8 vMotion’s supported as it is configured on a 10GB interface. (Limit of 4 on a 1GB interface) Where no contention exists, vMotion traffic can burst and use a large percentage of both 10GB interfaces to complete vMotion activity as fast as possible
6. With a share value of 25,  ESXi Management still has ample bandwidth to continue normal operations even during periods of contention
7. When using bandwidth allocation, use “shares” instead of “limits,” as the former has greater flexibility for unused capacity redistribution.
8. With a share value of 50,  Virtual machine traffic still has ample bandwidth and should result in minimal or no impact to VM performance across 10Gb NICs
9. Setting Limits may prevent operations from completing in a timely manner where there is no contention

Implications

1. In the unlikely event of significant and ongoing contention, performance for vMotion may affect the ability to perform the evacuation of a host in a timely manner. This may extend scheduled maintenance windows.
2. VMs protected by FT may be impacted

Alternatives

1. Use a share value  of 50 for IP storage traffic to more evenly share bandwidth during periods of contention. However this may impact VM performance eg: Increased CPU WAIT if the IP storage is not keeping up with the storage demand

Related Posts
1. Example VMware vNetworking Design for IP Storage (4 x 10GB NICs)
2. Example VMware vNetworking Design for IP Storage (2 x 100GB NICs)
3. Frank Denneman (VCDX) – Designing your vMotion Network – Multi-NIC vMotion & NIOC

High CPU Ready with Low CPU Utilization?

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I have noticed an increasing amount of search engine terms which results in people accessing my blog similar to

* High CPU Ready Low CPU usage
* CPU ready and Low utilization
* CPU ready relationship to utilization

So I wanted to try and clear this issue up.

First lets define CPU Ready & CPU Utilization.

CPU ready (percentage) is the percentage of time a virtual machine is waiting to be scheduled onto a physical (or HT) core by the CPU scheduler.

CPU utilization measures the amount of Mhz or Ghz that is being used.

Next to find out how much CPU ready is ok, check out my post How Much CPU ready is OK?

CPU Ready and CPU utilization have very little to do with each other, high CPU utilization does not mean you will have high CPU ready, and vice versa.

So it is entirely possible to have either of the below scenarios

Scenario 1 : An ESXi host has 20% CPU utilization and VMs to suffer high CPU ready (>10%).
Scenario 2: An ESXi host has 95% CPU utilization and VMs to have little or no CPU ready (<2.5%)

How are the above two scenarios possible?

Scenario 1 may occur when

* One or more VMs are oversized (ie: not utilizing the resources they are assigned)
* The host (or cluster) is highly overcommited (either with or without right sized VMs)
* Where power management settings are set to Balanced / Low Power or custom

Scenario 2 may occur when

* VMs are correctly sized
* The ESXi hosts are well sized for the virtual machine workloads
* The VM to host ratio has been well architected

So the question on everyone lips, How can high CPU ready with Low CPU utilization be addressed/avoided?

If you have a situation where you are experiencing high CPU ready and low ESXi host utilization the following steps should be taken

* Right size your VMs

This is by far the most important thing to do. I Recommend using a tool such as vCenter Operations to assist with determining the correct size for VMs.

* Ensure your hosts/clusters are not excessively overcommited

I generally find 4:1 vCPU overcommitment is achievable with right sized VMs where the avg VM size is <4 vCPUs. The higher the vCPU per VM average, the lower CPU overcommitment you will achieve.)
If you have an average VM size of 8 vCPUs then you may only see <1.5:1 overcommitment before suffering contention (CPU ready).

* Use DRS affinity rules to keep complimentary workloads together
VMs with high CPU utilization and VMs with very low CPU utilization can work well together. You  also may have an environment where some servers are busy overnight and others are only busy during business hours, these are examples of workload to keep together.

* Use DRS anti-affinity rules to keep non-complimentary workloads apart

VMs with very high CPU utilization (assuming the high utilization is at the same time) can be spread over a number of hosts to avoid stress on the CPU scheduler.

* Ensure your ESXi hosts are chosen with the virtual machine workloads in mind
If your VMs are >=8vCPUs choose a CPU with >=8 cores per socket and more sockets per host, like 4 socket hosts as opposed to 2 socket hosts. If the bulk of your VMs are 1 or 2 vCPUs, then even older 2 socket 4 core processors should generally work well.

* Use Hyperthreading
Assuming you have a mix of workloads and not all VMs require large amounts of cores and Ghz, using hyper threading increases the efficiency of the CPU schedulure by effectively doubling the scheduling opportunities. Note: A HT core will generally give much less than half the performance of a pCore.

* Use “High Performance” for your Power Management Policy

The above seven (7) steps should resolve the vast majority of issues with CPU ready.

For an example of the benefits of right sizing your VMs, check out my earlier post – VM Right Sizing , An example of the benefits.

Also please note, using CPU reservations does not solve CPU ready, I have also written an article on this topic – Common Mistake – Using CPU reservations to solve CPU ready

I hope this helps clear up this issue.