Tag Archives: consistent

Nutanix Data Protection Capabilities

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There is a lot of misinformation being spread in the HCI space about Nutanix data protection capabilities. One such example (below) was published recently on InfoStore.

Evaluating Data Protection for Hyperconverged Infrastructure

When I see articles like this, It really makes me wonder about the accuracy of content on these type of website as it seems articles are published without so much as a brief fact check from InfoStore.

None the less, I am writing this post to confirm what Data Protection Capabilities Nutanix provides.

  • Native In-Built Data protection

Prior to my joining Nutanix in mid-2013, Nutanix already provided a Hypervisor agnostic Integrated backup and disaster recovery solution with centralised consumer- grade management through our PRISM GUI which is HTML 5 based.

The built in capabilties are flexible and VM-centric policies to protect virtualized applications with different RPOs and RTOs with or without application consistency.

The solution also supports Local, remote, and cloud-based backups, and synchronous and asynchronous replication-based disaster recovery solutions.

Currently supported cloud targets include AWS and Azure as shown below.

CloudBackup

The below video which shows in real time how to create Application consistent snapshots from the Nutanix PRISM GUI.

Nutanix can also perform One to One, One to Many and Many to One replication of application consistent snapshots to onsite or offsite Nutanix clusters as well as Cloud providers (AWS/Azure), ensuring choice and flexibility for customers.

Nutanix native data protection can also replicate between and recover VMs to clusters of different hypervisors.

  • CommVault Intellisnap Integration

Nutanix also provides integration with Commvault Intellisnap which allows existing Commvault customers to continue leveraging their investment in the market leading data protection product and to take advantage of other features where required.

The below shows how agentless backups of Virtual Machines is supported with Acropolis Hypervisor (AHV). Note: Commvault is also fully supported with Hyper-V and ESXi.

By Commvault directly calling the Nutanix Distributed Storage Fabric (NDSF) it ensures snapshots are taken quickly and efficiently without the dependancy on a hypervisor.

  • Hypervisor specific support such as VMware API Data Protection (VADP)

Nutanix also supports solutions which leverage VADP, allowing customers with existing investment in products such as Veeam & Netbackup to continue with their existing strategy until such time as they want to migrate to Nutanix native data protection or solutions such as Commvault.

  • In-Guest Agents

Nutanix supports the use of In-Guest agents which are typically very inefficient with centralised SAN/NAS storage but due to data locality and NDSF being a truly distributed platform, In-Guest Incremental forever backups perform extremely well on Nutanix as the traditional choke points such as Network, Storage Controllers & RAID packs have been eliminated.

Summary:

As one size does not fit all in the world of I.T, Nutanix provides customers choice to meet a wide range of market segments and requirements with strong native data protection capabilities as well as 3rd party integration.

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