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Nutanix Scalability – Part 1 – Storage Capacity

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It never ceases to amaze me that analysts as well as prospective/existing customers frequently are not aware of the storage scalability capabilities of the Nutanix platform.

When I joined back in 2013, a common complaint was that Nutanix had to scale in fixed building blocks of NX-3050 nodes with compute and storage regardless of what the actual requirement was.

Not long after that, Nutanix introduced the NX-1000 and NX-6000 series which had lower and higher CPU/RAM and storage capacity options which gave more flexibility, but still there were some use cases where Nutanix still had significant gaps.

In October 2013 I wrote a post titled “Scaling problems with traditional shared storage” which covers why simply adding shelves of SSD/HDD to a dual controller storage array does not scale an environment linearly, can significantly impact performance and add complexity.

At .NEXT 2015, Nutanix announced the ability to Scale Storage separately to Compute which allowed customers to scale capacity by adding similar to a shelf of drives like they could with their legacy SAN/NAS, but with the added advantage of having a storage controller (the Nutanix CVM) to add additional data services, performance and resiliency.

Storage only nodes are supported with any Hypervisor but the good news in they run on Nutanix’ Acropolis Hypervisor (AHV) which means no additional hypervisor licensing if you run VMware ESXi, and storage only nodes still support all the 1-click rolling upgrades so they add no additional management overhead.

Advantages of Storage Only Nodes:

  1. Ability to scale capacity seperate to CPU/RAM like a traditional disk shelf on a storage array
  2. Ability to start small and scale capacity if/when required, i.e.: No oversizing day 1
  3. No hypervisor licensing or additional management when scaling capacity
  4. Increased data services/resiliency/performance thanks to the Nutanix Controller VM (CVM)
  5. Ability to increase capacity for hot and cold data (i.e.: All Flash and Hybrid/Storage heavy)
  6. True Storage only nodes & the way data is distributed to them is unique to Nutanix

Example use cases for Storage Only Nodes

Example 1: Increasing capacity requirement:

MS Exchange Administrator: I’ve been told by the CEO to increase our mailbox limits from 1GB to 2GB but we don’t have enough capacity.

Nutanix: Let’s start small and add storage only nodes as the Nutanix cluster (storage pool) reaches 80% utilisation.

Example 2: Increasing flash capacity:

MS SQL DBA: We’re growing our mission critical database and now we’re hitting SATA for some day to day operations, we need more flash!

Nutanix: Let’s add some all flash storage only nodes.

Example 3: Increasing resiliency

CEO/CIO: We need to be able to tolerate failures and the infrastructure self heal but we have a secure facility which is difficult and time consuming to get access too, what can we do?

Nutanix: Let’s add some storage only nodes to ensure you have enough capacity (All Flash and/or Hybrid) to ensure sufficient capacity to tolerate “n” number of failures and rebuild the environment back to a fully resilient and performant state.

Example 4: Implementing Backup / Long Term Retention

CEO/CIO: We need to be able to keep 7 years of data for regulatory requirements and we need to be able to access it within 1hr.

Nutanix: We can either add storage only nodes to one or more existing clusters OR create a dedicated Backup/Retention cluster. Let’s start with enough capacity for Year 1, and then as capacity is required, add more storage only nodes as the cost per GB drops over time. Nutanix allows mixing of hardware generations so you’ll never be in a situation where you need to rip & replace.

Example 5: Supporting one or more Monster VMs

Server Administrator: We have one or more VMs with storage capacity requirements of 100TB each, but the largest Nutanix node we have only supports 20TB. What do we do?

Nutanix: The Distributed Storage Fabric (ADSF) allows a VMs data set to be distributed throughout a Nutanix cluster ensuring any storage requirement can be met. Adding storage only nodes will ensure sufficient capacity while adding resiliency/performance to all other VMs in the cluster. Cold data will be distributed throughout the cluster while frequently accessed data will remain local where possible within the local storage capacity on the node where the VM runs.

For more information on this use case see: What if my VMs storage exceeds the capacity of a Nutanix node?

Example 6: Performance for infrequently accessed data (cold data).

Server Administrator: We have always stored our cold data on SATA drives attached to our SAN because we have a lot of data and flash is expensive. One or twice a year we need to do a bulk read of our data for auditing/accounting purposes but it’s always been so slow. How can we solve this problem and give good performance while keeping costs down?

Nutanix: Hybrid Storage only nodes are a cost effective way to store cold data and combined with ADSF, Nutanix is able to deliver optimum read performance from SATA by reading from the replica (copy of data) with the lowest latency.

This means if a HDD or even a node is experiencing heavy load, ADSF will dynamically redirect Read I/O throughout the cluster to Deliver Increased Read Performance from SATA. This capability was released in 2015 and storage only nodes adding more spindles to a cluster is very complimentary to this capability.

Frequently asked questions (FAQ):

  1. How many storage only nodes can a single cluster support?
    1. There is no hard limit, typically cluster sizes are less than 64 nodes as it’s important to consider limiting the size of a single failure domain.
  2. How many Compute+Storage nodes are required to use Storage Only nodes?
    1. Two. This also allows N+1 failover for the nodes running VMs in the event a compute+storage node failed so VMs can be restarted. Technically, you can create a cluster with only storage only nodes.
  3. How does adding storage only node increase capacity for my monster VM?
    1. By distributing replicas of data throughout the cluster, thus freeing up local capacity for the running VM/s on the local node. Where a VMs storage requirement exceeds the local nodes capacity, storage only nodes add capacity and performance to the storage pool. Note: One VM even with only one monster vDisk can use the entire capacity of a Nutanix cluster without any special configuration.

Summary:

For many years Nutanix has supported and recommended the use of Storage only nodes to add capacity, performance and resiliency to Nutanix clusters.

Back to the Scalability, Resiliency and Performance Index.

Nutanix Resiliency – Part 5 – Read I/O during CVM maintenance or failures?

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In the earlier parts of this series we’ve talked about how ADSF can recovery quickly from a node failure by re-protecting data in a distributed manner across the cluster. We also covered how resiliency can be increased from Resiliency Factor 2 (RF2) to RF3 and even changed to a more space efficient Erasure Coding (EC-X) configuration all without interruption.

Now let’s cover the critically important topic of how VMs are impacted during Nutanix Controller VM (CVM) maintenance such as AOS upgrades OR during failures such as the CVM crashing or even being accidentally or maliciously turned off.

Let’s quickly cover the basics of how Nutanix ADSF writes and protects data.

Looking an the following diagram we see a three node cluster with a single Virtual Machine. The VM has written some data represented by a,b,c & d & under normal circumstances all writes will have one replica written to the host running the VM (in this case Node 1) and the other replica (or replicas in the case of RF3) distributed throughput the cluster based on disk fitness values. The disk fitness values (or what I call “Intelligent replica placement”) ensure data is placed in the most optimal place the first time.

RF2Overview

If one or more nodes are added to the cluster, the Intelligent replica placement will send proportionally more replicas to those nodes until the cluster is in a balanced state. In the very unlikely even no new writes are occurring, ADSF has a background disk balancing process which will balance the cluster as a low priority.

Now that we know the basics of how Nutanix protects data using multiple replicas (called “Resiliency Factor”) let’s talk about what happens during a Nutanix ADSF storage layer upgrade.

Upgrades are initiated by a one-click process and performed in rolling style one controller VM (CVM) at a time regardless of the configured Resiliency Factor and if Erasure Coding (EC-X) is used or not. The rolling upgrade put simply takes one CVM offline at a time, performs the upgrade, performs and self check and then rejoins the cluster and then repeats the process on the next CVM.

One of the many advantages of Nutanix decoupling the storage from the hypervisor (i.e.: not embedding storage into the kernel) is that upgrades and even storage layer failures do not impact the running Virtual machines.

VMs do not need to be restarted (i.e.: Like a HA event) nor do they need to migrate (e.g.: vMotion) to another node. VMs continue without interruption to storage traffic even when the local controller is offline for any reason.

If the local CVM is down for maintenance or due to failure, the I/O is dynamically re-directed throughout the cluster.

Let’s look at a Read I/O when the CVM local to a VM is offline (for any reason).

The local CVM being offline means the physical drives (NVMe, SSD, HDD etc) are not available meaning the local data (replicas) is unavailable.

All read I/O will be redirected and continue to function as it will now be served by all CVMs in the cluster.

ReadIOServedRemotelyWhenCVMifOffline

This maintenance/failure scenario could be compared to a 3 Tier architecture in that the node running the VM is not currently providing storage and is connecting to the storage over a network. But as Nutanix is a distributed architecture all nodes within the cluster service the reads meaning in the worst case scenario of a three node cluster, during a failure or maintenance Nutanix has an equivalent architecture to an optimally performing dual controller storage array.

Let’s cover that one more time, in the WORST case scenario where the smallest cluster has suffered a failure (or maintenance) causing the read IO to be served remotely, Nutanix in a degraded state is at worst equivalent to a compute node accessing a dual controller storage array in it’s OPTIMAL state.

If the Nutanix cluster was for example eight nodes and one node was performing maintenance or the CVM was down for any reason, seven nodes would be serving IO to the VMs on that node. This process is actually nothing new and something Nutanix has done for a long time. It’s described in more detail in Acropolis Hypervisor (AHV) I/O Failover & Load Balancing which was published in July 2015.

Once the local CVM is back online, Read I/O is once again serviced by the local CVM and the only remote reads which occur will be in the case where a copy of data does not exist on the local node. When remote read/s occur, the 1MB extent which holds the data being read will be localised to allow subsequent reads to be local. It’s critical to understand the process of localising the extent (replica) adds no additional overhead on the network compared to a remote read so localising benefits performance without additional overheads.

Summary:

  1. ADSF writes data on the node where the VM resides to ensure subsequent reads are local.
  2. Read I/O is serviced by the local CVM and when the Local CVM is unavailable for any reason the read I/O is serviced by all CVMs in the cluster in a distributed manner
  3. Virtual machines do not need to be failed over or evacuated from a node when the local CVM is offline due to maintenance or failure
  4. In the worst case scenario of a 3 node cluster and a CVM down, a virtual machine running on Nutanix has it’s traffic serviced by at least two storage controllers which is the best case scenario for a Server + Dual Controller Storage Array (3 Tier) architecture.
  5. In clusters larger than three, Virtual machines on Nutanix enjoy more storage controllers serving their read I/O than an optimal scenario for a Server + Dual Controller Storage Array (3 Tier) architecture.

Index:
Part 1 – Node failure rebuild performance
Part 2 – Converting from RF2 to RF3
Part 3 – Node failure rebuild performance with RF3
Part 4 – Converting RF3 to Erasure Coding (EC-X)
Part 5 – Read I/O during CVM maintenance or failures
Part 6 – Write I/O during CVM maintenance or failures
Part 7 – Read & Write I/O during Hypervisor upgrades
Part 8 – Node failure rebuild performance with RF3 & Erasure Coding (EC-X)
Part 9 – Self healing
Part 10: Nutanix Resiliency – Part 10 – Disk Scrubbing / Checksums

Nutanix AOS 5.5 delivers 1M read IOPS from a single VM, but what about 70/30 read/write?

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I recently wrote Nutanix AOS 5.5 delivers 1M IOPS from a single VM, but what happens when you vMotion which showed the impact of a vMotion was around -10% for a period of approx. 3 seconds before read performance resumed back to pre-migration levels.

In this post I will be addressing the question about performance for a single VM with a more realistic 70% read, 30% write IO profile which was performed using an 8k IO size and what the impact is during and after a live migration.

While not surprising to Nutanix customers, this result shows a maximum starting baseline of 436K random read and 187k random write IOPS and immediately following the migration performance reduced to 359k read and 164k write IOPS before achieving greater performance than the original baseline @ 446k read and 192k IOPS within a few seconds.

So in comparison to 100% random read which achieved just over 1 million 8k IOPS, the 70/30 mix achieves in the ballpark of 600k IOPS which is very respectable. Not bad for a platform which Nutanix competitors continue to describe as only being good for VDI. Considering even the largest array from a leading all flash SAN vendor is only advertising performance in the hundreds of thousand random read range, it shows Nutanix unique hyper-converged architecture can achieve higher performance than a monolithic all flash array from a single VM.

This shows that with the unique Nutanix Acropolis Distributed Storage Fabric, very high performance at low latency can be achieved with real world IO patterns even during and after live migrating the virtual machine across a distributed platform.

This result is further evidence of the efficiency of Nutanix Acropolis Hypervisor, AHV (which is included at no additional charge with AOS) as well as the IO path running in user space (not the much hyped in-kernel). This is in part thanks to AHV Turbo Mode which optimised the IO path which was announced at .NEXT 2017 in Washington. In addition to these excellent levels of performance, they can be sustained even when using data protection features such as snapshots as shown in recent post I wrote about Nutanix X-ray tool where I used the Snapshot impact scenario to compare Nutanix AHV and a leading hypervisor and SDS product. If you don’t have time to read the post, in short, the Nutanix competitors performance degraded as snapshots were taken while Nutanix AHV’s performance remained consistent which is essential for real world scenarios, especially with business critical applications.

With Nutanix unique ability to scale out performance using storage only nodes, even higher performance can be achieved without modification to the virtual machine to applications which gives Nutanix further advantage over the competition.

Nutanix data locality ensures optimal performance by ensuring new data is always local to the VM and cold data can remain remote indefinitely while only hot data will be migrated locally if/when required at a 1MB granularity. This translates to intelligent data locality and not brute force locality as it is frequently mistaken to be.

Back to Part 1