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Write I/O Performance & High Availability in a scale-out Distributed File System

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Following on from my recent post titled “Data Locality & Why is important for vSphere DRS clusters” I would like to discuss at a high level how Write I/O works in the Nutanix Distributed File System, how the solution ensures high availability in the event of a node failure and what impact a failure has on performance.

Lets start with a typical Write operation.

The below diagram shows a three (3) node Nutanix cluster with a Guest VM starting to perform write I/O, this is represented in a simplistic manor by the three (3) Diamonds (Red, Yellow and Purple)

NutanixWriteIOstart

The write I/O is written to the local SSD tier (as is every Write in a Nutanix environment) as shown below.

NutanixWriteDataWrittenLocal

Before acknowledging the write the Nutanix Controller VM (CVM) then replicates a copy of the data across the Nutanix Distributed File System.

The below diagram illustrates what this looks like in a three node cluster.

NutanixWriteSyncToOtherNodes

Once the data in successfully written to other nodes within the cluster, the Write acknowledgement is given. This ensures data is consistent and always protected.

In a Nutanix cluster, as Controllers (Nutanix CVMs) are scaled linearly with the ESXi hosts, Write I/O is then spread over more controllers, reducing the chance of contention in the environment at both a storage controller and network layer as each controller shares 2 x 10Gb connections per node.

In the event of a node failure, in a vSphere cluster, HA will restart the failed VM/s onto a surviving node in the cluster.

The VM will start-up and operate as normal and where data is not local to the node (as discussed in detail in my post  “Data Locality & Why is important for vSphere DRS clusters“) the data will initially be accessed over 10Gb before being replicated locally for future reads.

NutanixHAAfterWithDataAccess

All future writes for the VM/s which have been restarted by HA on different nodes will perform at a similar rate (if not the same rate) as they did before the failure depending on how many nodes are in the cluster. Where the Network is not a bottleneck, there should be minimal/no difference in write performance after a node failure.

The Nutanix cluster will also detect a node has failed, and ensure two copies of all data are available, and in the above example where only one copy of the data exists, the cluster will replicate the required data to ensure High Availability (“Replication Factor” of 2) is maintained.

As this replication is done across multiple controllers and nodes, it is much faster and lower impact than a traditional RAID rebuild which most of us will be familiar with.

The end state of this process looks like this.

NutanixHAEndState

So in conclusion using a “scale-out” storage controller solution like Nutanix ensures consistent high write performance even immediately following a node failure by eliminating the requirement for RAID style rebuilds which are disk intensive and can lead to “Double Disk Failures” and data loss.

The replication of data being distributed across all nodes in the cluster ensures minimal impact to each Nutanix controller, ESXi host and the network while ensuring the data is re-protected as soon as possible.

Related Articles

1. Data Locality & Why is important for vSphere DRS clusters

 

Data Locality & Why is important for vSphere DRS clusters

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I have had a lot of people reach out to me since VMworld SFO, where I was interviewed by Eric Sloof (@esloof) on VMworldTV (interview can be seen here) about Nutanix.

So I thought I would expand on the topic of Data Locality and why it is so important for vSphere DRS clusters to maintain consistent high performance and low latency.

So first, the below diagram shows three (3) Nutanix nodes, and one (1) Guest VM.

NutanixLocalRead

The guest VM is reading data from the local storage in the Nutanix node and as a result this read access is very fast. The read I/O will be served from one of 4 places.

1. Extent Cache (DRAM – For “Active Working Set”)
2. Local SSD (For “Active Working Set”)
3. Local SATA (Only for “Cold” data)

and the forth we will discuss is a moment.

So as a result for Read I/O

1. There is no dependency on a Storage Area Network (FCoE, IP, FC etc)
2. Read I/O from one node does not contend with another node
3. Read I/O is very low latency as it does not leave the ESXi host
4. More Network bandwidth is available for Virtual Machine traffic, ESXi Mgmt, vMotion , FT etc

But wait, the what happens if DRS (or a vSphere admin) vMotion’s a VM to another node? – I’m glad you asked!

The below shows what happens immediately after a vMotion

NutanixAftervmotion

As you can see, only the Purple data is local to the new node, so transparently to the virtual machine, if/when remote data is required by the VM (ie: The VMs “Active Working Set”) the Nutanix controller VM (CVM) will get the requested data over the 10GB Network in 1MB extents. (It does not do a bulk movement or “Storage vMotion” type movement of all the VMs data EVER!)

And, all future Write I/O will be written local, so future Read I/O will all be local by default.

So, the worst case scenario for a read I/O in a Nutanix environment, is that the required data is not available locally and the CVM will access the data over a 10GB network.

This scenario will only occur in situations where

1. Maintenance is occurring and hosts are rebooted
2. A Host Failure (HA restarts VM on another node)
3. Following a vMotion

Generally in BAU (Business as Usual) operation Read I/O should be local in the high 90% range.

So the worst case scenario for Read I/O on a vSphere Cluster running on Nutanix, is actually the Best case scenario for a traditional storage array, because in a traditional array all data is accessed over some form of storage network and generally via a small number of controllers.

It is important to note, the Nutanix DFS (Distributed File System) only accesses data over the network when its required by the VM at a granular (1MB extent) level. So only the “Active Working Set” will be accessed over the 10Gb network, before being copied locally, again in 1MB extents. So if the data is not “Active” having it remotely does not impact performance at all so moving the data would create an overhead on the environment for no benefit.

In the event 90% of a VMs data is on a remote node, but the “Active Working Set” is local, read performance will all be at local speeds, again from Extent Cache (DRAM), Local SSD or Local SATA (for “cold” data).

Now some vendors are working on or have some local caching capabilities which in my experience are not widely deployed and have various caveats such as Operating System version, and in guest drivers, but for the vast majority of environments today, these technologies are not deployed.

The Nutanix DFS has data locality built in, it works with any hypervisor , Guest OS and does not require any configuration.

So now you know why ensuring the Active Working Set (data) is as close to the VM is essential for consistent high performance and low latency.

Related Articles

1. Write I/O Performance & High Availability in a scale-out Distributed File System

Example Architectural Decision – Host Isolation Response for a Nutanix Environment

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Problem Statement

What are the most suitable HA / host isolation response when using Nutanix?

Assumptions

1. vSphere 5.0 or greater
2. Two x 10GB Network interfaces are shared for Nutanix Storage Traffic and Virtual Machine Traffic

Motivation

1. Minimize the chance of a false positive isolation response
2. Ensure in the event the storage is unavailable that virtual machines are promptly shutdown to enable HA to recover the VMs in a timely manner (where other hosts are unaffected by isolation) and to prevent a “split brain” scenario
3. Ensure maximum availability

Architectural Decision

Turn off the default isolation address and configure the below specified isolation addresses, which check connectivity to multiple Nutanix Controller VMs (CVMs) on the IP Storage VLAN.

Configure the following Isolation addresses

das.isolationaddress1 : NDFS Cluster IP Address

Configure Host Isolation Response to: Power Off

For Nutanix Controller VMs override the cluster setting and configure Host Isolation Response to “Leave Powered On”

Justification

1. The ESXi Management traffic along with the Virtual machine traffic and inter-Nutanix node storage traffic is running over 2 x 10GB connections. Using the ESXi management gateway (default isolation address) to check for isolation is not suitable as the management network can be offline without impacting the IP storage or data networks. This situation could lead to false positives isolation responses.
2. The isolation addresses chosen tests IP storage connectivity over the converged 10Gb network and in the event this is unavailable, there is no point testing further connectivity as Virtual machines cannot function without their storage
3. In the event the Nutanix cluster IP address cannot be reached by ICMP the Node will not be able to properly function. As such, triggering isolation response and powering off the VMs based on this criteria is logical as the VMs will not be able to function under these conditions.
4. In the event the NDFS Cluster IP address does not respond to ICMP on the Management interfaces it is likely there has been an isolation event OR a catastrophic failure in the environment, either to the network, or the storage controllers themselves, in which case the safest option is to Power Off the VMs.
5. In the event the isolation response is triggered and the isolation does not impact all hosts within the cluster, the VMs can be restarted by HA onto a surviving host and resume functioning
6. Using the Nutanix Controller VM (CVM) IP address (192.168.5.2) for the Isolation address is not suitable as this address exists on each ESXi hosts and as such it is not a good candidate for isolation detection as the host will always be able to find this address even when the network is offline due to the CVM being local to the host
7. The Nutanix Controller VM accesses local storage and can continue to run locally even in an isolation event. When the isolated event is over, the CVM will then regain connectivity to the other CVMs in the Nutanix cluster.
8. Shutting down the CVM would only increase the recovery time once the isolation even is over and has no added benefits.

Implications

1. In the event the host cannot reach any of the isolation addresses, virtual machines will be powered off.
2. Initial cluster setup would require the vSphere administrator to override the Cluster settings for each Controller VM. Note: This is a one time task (Set & Forget)

Alternatives

1. Set Host isolation response to “Leave Powered On”
2. Do not use Datastore heartbeating
3. Use the default isolation address
4. Leave the CVM on the default cluster setting and “Shutdown” on isolation

Related Articles

1. VMware Host Isolation Response in a Nutanix Environment #NoSAN

2. Storage DRS and Nutanix – To use, or not to use, that is the question?

3. VMware HA and IP Storage