EMCWorld2015 day 1 news

We are at EMCWorld2015 in Vegas this week. Day 1 was great with new XtremIO 4.0, “The Beast”, new enhanced Data Protection, and a new VCE VxRACK converged infrastructure solution announcements. Somewhere in all the hoopla I saw an all flash VNXe appliance and VMAX3 with a cloud storage tier but these seemed to be just teasers.

XtremIO 4.0

The new hardware provides 40TB per X-brick and with compression/dedupe and the new 8-Xbrick cluster provides 320TB raw or 1.9PB effective capacity. As XtremIO supports 150K mixed IOPS/XBrick, an 8-Xbrick cluster could do 1.2M IOPS or with 250K read IOPS/Xbrick that’s 2.0M IOPS.

XtremIO 4.0 now also includes RecoverPoint integration. (I assume this means they have integrated the write splitter directly into XtremIO that way you don’t need the host version or the switch version of the write splitter.)

The other thing XtremIO 4.0 introduces is non-disruptive upgrades. This means that they can expand or contract the cluster without taking down IO activity.

There was also some mention of better application consistent snapshots, which I suspect means Microsoft VSS integration.

XtremIO 4.0 is a free software upgrade, so the ability to scale up to 8-Xbricks and non-disruptive cluster changes, and RecoverPoint integration can all be added to current XtremIO systems.

Data Protection

EMC introduced a new top end DataDomain hardware appliance the DataDomain 9500, which has 1.5X the performance (58.7TB/hr) and 4X the capacity (1.7PB) of their nearest competitor solution.

They also added a new software feature (from Maginetics) called CloudBoost™.  CloudBoost allows Networker and Avamar to backup to cloud storage. EMC also added Microsoft Ofc365 cloud backup to Spannings previous Google Apps and SalesForce cloud backups.

VMAX3 Protect Point was also enhanced to provide native backup for Oracle, Microsoft SQL Server, and IBM DB2 application environments. ProtectPoint offers a direct path between VMAX3 and  DataDomain appliances and can speed up backup performance by 20X.

EMC also announced Project Falcon which is a virtual appliance version of DataDomain software

VCE VxRACK

This is a rack sized, stack of VSPEX Blue appliances (a VMware EVO:RAIL solution) with new software to bring the VCE useability and data center scale services to a hyper-converged solution. Each appliance is a 2U rack mounted compute intensive or storage intensive unit. The Blue appliances are configureed in a rack for VxRACK and with version 1 you can use VMware or KVM as a chose your own hypervisor. Version 2 will come out later this year and will be based on a complete VMware stack known as EVO: RACK.

Storage services are supplied by EMC ScaleIO. You can purchase a 1/4 rack, 1/2  rack or full rack which includes top of rack networking. You can also scale out by adding more full racks to the system. EMC said that it can technically support 1000s of racks VSPEX Blue appliances for up to ~38PB of storage.

The significant thing is that the VCE VxRACK supplies the VCE customer experience, in a hyper converged solution. However, the focus for VxRACK is tier 2 applications that don’t have a need for the extremely high availability, low response times and high performance of tier 1 applications that run on their VBLOCK solutions (with VNX, VMAX or XtremIO storage).

VMAX3

They had a 5th grader provision an VMAX3 gold storage (LUN) and convert it to a diamond storage (LUN) in 20.48 seconds. It seemed pretty simple to me but the kid blazed through the screens a bit fast for me to see what was going on. It wasn’t nearly as complex as it used to be.

VMAX3 also introduces CloudArray™, which uses FastX storage tiering to cloud storage (using onboard TwinStrata software). This could be used as a tier 3 or 4 storage. EMC also mentioned that you can have an XtremIO (maybe an Xbrick) behind a VMAX3 storage system. VMAX3’s software rewrite has separated data services from backend storage and one can see EMC rolling out different backend storage (like cloud storage or XtremIO) in future offerings.

Other Notes

There was a lot of discussion about the “Information Generation” a new customer for IT services. This is tied to the 3rd platform transformation that’s happening in the industry today. To address this new world IT needs to have 5 attributes:

  1. Predictively spot new opportunities for services/products
  2. Deliver a personalized experience
  3. Innovate in an agile way
  4. Develop trusted programs/apps Demonstrate transparency & trust
  5. Operate in real time

David Goulden talked a lot about what this all means and I encourage you to take a look at the video stream to learn more.

Speaking of video last year was the first year there were more online viewers of EMCWorld than actual participants. So this year EMC upped their game with more entertainment value. The opening dance sequence was pretty impressive.

A lot of talk today was on 3rd platform and the transition from 2nd platform. EMC says their new products are Platform 2.5 which are enablers for 3rd platform. I asked the question what the 3rd platform storage environment looks like and they said scale-out (read ScaleIO) converged storage environment with flash for meta-data/indexing.

As the 3rd platform transforms IT there will be some customers that will want to own the infrastructure, some that will want to use service providers and some that will use public cloud services. EMC’s hope is to capture those customers that want to own it or use service providers.

Tomorrow the focus will be on the Federation with Pivotal and VMware being up for keynotes and other sessions. Stay tuned.

 

 

What’s next for Nexenta

We talked with Nexenta at Storage Field Day 6 where they discussed their current and future software defined storage solutions. I highly encourage you to see the SFD6 videos of their sessions if you want to learn more about them.

Nexenta was an earlier adopter of software defined storage and have recently signed with Solinea to support Nexenta under OpenStack CINDER block storage. Nexenta is based on ZFS and supports inline deduplication and advanced performance functionality.

NexentaStor™

NexentaStor™ is there base storage software and comes as a download in both an Enterprise edition and Community edition. NexentaStor can run on most industry standard, x86 server platforms.

  • The Community edition supports up to 18TB and uses DAS and/or SAS connected storage to supply NFS and SMB file services.
  • The Enterprise edition extends capacity into the PB and supports FC and iSCSI block storage services as well as file services. The Enterprise edition supports plugins for HA solutions and storage replication.

Nexenta mentioned that they had over 6500 customers for NexentaStor of which 1500 are cloud service providers. But they have a whole lot more to offer than just NexentaStor including NexentaConnect™ and coming soon, NexentaEdge™ and NexentaFusion™.

NexentaConnect™

NexentaConnect software works with VMware or Citrix solutions to provide advanced storage services, such as file services, IO acceleration, and storage automation/analytics. There are three products in the NexentaConnect family:

  • NexentaConnect for VMware Virtual SAN – by combining NexentaConnect together with VMware Virtual SAN software and DAS or SAS storage one can offer NFS and SMB/CIFS file services.  Prior to NexentaConnect, VMware Virtual SAN storage only provided VMware dedicated SAN storage, but now that same infrastructure can be used for any NFS or SMB/CIFS file system storage.
  • NexentaConnect for VMware Horizon – by combining NexentaConnect with VMware Horizon and DAS plus local SSD storage, one can provide accelerated virtual desktop IO with state of the art write logging, inline deduplication, and GUI based storage automation/analytics.
  • NexentaConnect for Citrix XenDesktop (in Beta now) – by combining NexentaConnect with Citrix XenDesktop software and DAS plus local SSD storage, one can accelerate XenDesktop IO and ease the management of XenDesktop storage.

Nexenta has teamed up with Dell to offer Dell-Nexenta (and VMware) storage solution using NexentaConnect and VMware Virtual SAN software on Dell hardware.

NexentaEdge™

They spent a lot of time on NexentaEdge and what they plan to offer is a software defined object storage solution. Most object storage systems on the market either started as software only or currently support a software only version. But Nexenta is the first to come at it from a file services heritage that I know of.

NexentaEdge will offer iSCSI services as well as standard object storage services such as Amazon S3 and OpenStack SWIFT. Their solution splits up objects into chunks and replicates/distributes the object chunks across their software defined (object) storage cluster.

Cluster communications uses UDP (not TCP) and so has less overhead. NexentaEdge cluster communications uses their own Replicast protocol to send messages and data out across the cluster. .

They designed NexentaEdge to be able to support Shingle Magnetic Recording (SMR) disks which are very dense storage but occasionally have to go “away” while they perform  garbage collection/re-organization. I did two posts about SMR disks a while back (see Shingled magnetic recording disks and Sequential-only disk for more information on SMR).

I have to admit I had a BIG problem with support for iSCSI over eventually consistent storage. I don’t see how this can be used to support ACID database requests but I suppose Nexenta would argue that anyone using object storage for ACID database IO needs to have their head examined.

NexentaFusion™

Although this was not discussed as much, NexentaFusion is another future offering supplying software defined storage analytics and orchestration automation. They intent is to use NexentaFusion with NexentaStor, NexentaConnect and/or NexentaEdge. As you scale up your Nexenta storage cluster, automation/orchestration and storage analytics starts to become a more pressing need. According to Nexenta’s website NexentaFusion 1.0 will support multi-tennant storage monitoring and real time storage analytics while NexentaFusion 2.0 will supportstorage provisioning and orchestration.

~~~~

Nexenta provided Converse all-star shoes to all the participants as well as pens and notebooks. I had to admit I liked the look of the new tennis shoes but my wife and kids thought I was crazy.

Different views on Nexenta from the other SFD6 bloggers can be found below:

SFD6 – Day 2 – Nexenta from PenguinPunk (Dan Firth, @PenguinPunk)

Nexenta – Back in da house by Nigel Poulton (@NigelPoulton)

Sorry Nexenta, but I don’t get it … and questions arise by Juku (Enrico Signoretti, @ESignoretti)

Day 2 at SFD6: Nexenta by Absolutely Windows (John Obeto, @JohnObeto)

Data virtualization surfaces

There’s a new storage startup out of stealth, called Primary Data and it’s implementing data (note, not storage) virtualization.

They already have $60M in funding with some pretty highpowered talent from Fusion IO, namely David Flynn, Rick White and Steve Wozniak (the ‘Woz’)  (also of Apple fame).

There have been a number of attempts at creating a virtualization layers for data namely ViPR (See my post ViPR virtues, vexations but no storage virtualization) but Primary Data is taking a different tack to the problem.

Data virtualization explained

Data hypervisor, software defined storage, data plane, control plane
(c) 2012 Silverton Consulting, Inc. All rights reserved

Essentially they want to separate the data plane from the control plane (See my Data Hypervisor post and comments for another view on this).

  • The data plane consists of those storage system activities that actually perform IO or read and writes.
  • The control plane is those storage system activities that do everything else that has to be done by a storage system, including provisioning, monitoring, and managing the storage.

Separating the data plane from the control plane offers a number of advantages. EMC ViPR does this but it’s data plane is either standard storage systems like VMAX, VNX, Isilon etc, or software defined storage solutions. Primary Data wants to do it all.

Their meta data or control plane engine is called a Data Director which holds information about the data objects that are stored in the Primary Data system, runs a data policy management engine and handles data migration.

Primary Data relies on purpose-built, Data Hypervisor (client) software that talks to Data Directors to understand where data objects reside and how to go about accessing them. But once the metadata information is transferred to the client SW, then IO activity can go directly between the host and the storage system in a protocol independent fashion.

[The graphic above is from my prior post and I assumed the data hypervisor (DH) would be co-located with the data but Primary Data has rightly implemented this as a separate layer in host software.]

Data Hypervisor protocol independence?

As I understand it this means that customers could use file storage, object storage or block storage to support any application requirement. This also means that file data (objects) could be migrated to block storage and still be accessed as file data. But the converse is also true, i.e., block data (objects) could be migrated to file storage and still be accessed as block data. You need to add object, DAS, PCIe flash and cloud storage to the mix to see where they are headed.

All data in Primary Data’s system are object encapsulated and all data objects are catalogued within a single, global namespace that spans file, block, object and cloud storage repositories

Data objects can reside on Primary storage systems, external non-Primary data aware file or block storage systems, DAS, PCIe Flash, and even cloud storage.

How does Data Virtualization compare to Storage Virtualization?

There are a number of differences:

  1. Most storage virtualization solutions are in the middle of the data path and because of this have to be fairly significant, highly fault-tolerant solutions.
  2. Most storage virtualization solutions don’t have a separate and distinct meta-data engine.
  3. Most storage virtualization systems don’t require any special (data hypervisor) software running on hosts or clients.
  4. Most storage virtualization systems don’t support protocol independent access to data storage.
  5. Most storage virtualization systems don’t support DAS or server based, PCIe flash for permanent storage. (Yes this is not supported in the first release but the intent is to support this soon.)
  6. Most storage virtualization systems support internal storage that resides directly inside the storage virtualization system hardware.
  7. Most storage virtualization systems support an internal DRAM cache layer which is used to speed up IO to internal and external storage and is in addition to any caching done at the external storage system level.
  8. Most storage virtualization systems only support external block storage.

There are a few similarities as well:

  1. They both manage data migration in a non-disruptive fashion.
  2. They both support automated policy management over data placement, data protection, data performance, and other QoS attributes.
  3. They both support multiple vendors of external storage.
  4. They both can support different host access protocols.

Data Virtualization Policy Management

A policy engine runs in the Data Directors and provides SLAs for data objects. This would include performance attributes, protection attributes, security requirements and cost requirements.  Presumably, policy specifications for data protection would include RAID level, erasure coding level and geographic dispersion.

In Primary Data, backup becomes nothing more than object snapshots with different protection characteristics, like offsite full copy. Moreover, data object migration can be handled completely outboard and without causing data access disruption and on an automated policy basis.

Primary Data first release

Primary Data will be initially deployed as an integrated data virtualization solution which includes an all flash NAS storage system and a standard NAS system. Over time, Primary Data will add non-Primary Data external storage and internal storage (DAS, SSD, PCIe Flash).

The Data Policy Engine and Data Migrator functionality will be separately charged for software solutions. Data Directors are sold in pairs (active-passive) and can be non-disruptively upgraded. Storage (directors?) are also sold separately.

Data Hypervisor (client) software is available for most styles of Linux, Openstack and coming for ESX. Windows SMB support is not split yet (control plane/data plane) but Primary data does support SMB. I believe the Data Hypervisor software will also be released in an upcoming version of the Linux kernel.

They are currently in testing. No official date for GA but they did say they would announce pricing in 2015.

~~~~

Comments?

Disclosure: We have done work for Primary Data over the past year.

Photo Credits:

  1. Screen shot of beta test system supplied by Primary Data
  2. Graphic created by SCI for prior Data Hypervisor post

Coho Data, hyperloglog and the quest for IO performance

We were at SFD6, last month and Coho Data‘s CTO & Co-Founder, Andy Warfield got up to tell us what’s happening at Coho. (We also met with Andy at SFD4, check out the videolinks to learn more.)

What’s new at Coho Data

Coho Data has been shipping GA product for about 3 quarters and is a simple to use, scale-out, hybrid (SSD & disk) storage system for VMware NFS datastores. Coho Data storage uses Software Defined Networking (SDN) switches to perform faster networking handoffs and optimized data flow across storage nodes. They use standard servers and a SDN switch that can scale from two nodes (micro-arrays) to lots (100 or more?).

Version 2.0 will add remote asynch replication and enhanced API enhancements. We won’t discuss the update anymore but if you want your storage to tweet its messages/alerts check it out. Thank Chris Wahl when you start seeing storage system tweets pollute your  twitter feed.

The highlight of the session, was Andy’s discussion of HyperLogLog, a new approach to understanding customer workloads.

HyperLogLog

Coho Data was designed from the start using Microsoft IO traces (1-week of MSR Cambridge datacenter block IO traces available at SNIA IO Trace repository).  [bold italics added later, ed.] which recorded all IO from 10 But Coho also recorded linux developers developer desktop IO activity for a year, amounting to ~ 1B 7.6B IOs and multi-TBs of data. I just got a call looking for some file activity tracing, so everybody in storage could use more IO traces. But detailed IO traces take up CPU cycles and lot’s of space. HyperLogLogs can solve a portion of this.

Before we go there, a little background. For instance, with a Bloom Filter you can tell whether a block has been referenced or not. In a bloom filter you hash a key, term or whatever multiple times and then OR them into separate bitfields, one per hash. Bloom filters have a small possibility of a false positive (block-id present in filter but was not really in IO stream) but no possibility of a false negative (block-id NOT present in filter but it really was in IO stream). However, bloom filters tells us nothing about how frequently blocks were read.

With a HyperLogLog, one can approximate (within ~2%) how many times a block was referenced. By capturing multiple HyperLogLogs pictures over time, one can determine block access frequency during application processing. Each HyperLogLog trace only occupies ~2 KB, so recording one/hour takes ~50KB/day. The math is beyond me but there’s plenty info online (e.g. here).

HyperLogLog functionality will be included in a future Coho Data update. Coho Data will be implementing what they call “Counter Stacks” which makes use of hyperloglogs in a future release (see Jake Wire’s Usenix Session video/PDF). Once present, Coho Data will save hyperloglog counter stack data, analyze it, and use it to better characterize customer IO with the goal of better optimizing their storage system to actual workloads

For more info please see other SFD6 blogger posts on Coho Data:

~~~~

Now if someone could just develop a super efficient algorithm/storage structure to record block sequences I think we have this licked.

Disclosure statement: I have done work for Coho Data over the last year.

Picture credits: (Lego) Me holding a Coho (Data) Salmon 🙂

The wizardry of StorMagic

We talked with Hans O’Sullivan, CEO and Chris Farey, CTO of StorMagic during Storage Field Days 6 (SFD6, view videos of their session) a couple of weeks back and they presented some interesting technology, at least to me.

Their SvSAN, software defined storage  solution has been around since 2009, and was originally intended to provide shared storage for SMB environments but was changed in 2011 to focus more on remote offices/branch offices (ROBO) for larger customers.

What makes the SvSAN such an appealing solution is that it’s a software-only storage solution that can use a minimum of 2 servers to provide a high availability, shared block storage cluster which can all be managed from one central site. Their SvSAN installs as a virtual storage appliance that runs as a virtual machine under a hypervisor and you can assign it to manage as much or as little of the direct access or SAN attached storage available to the server.

SvSAN customers

As of last count they had 30K licenses, in 64 countries, across 6 continents, were managing over 57PB of data, and had one (large retail) customer with over 2000 sites managed from one central location.  They had pictures of one customer in their presentation which judging by the color was obvious who it was but they couldn’t actually say.

One customer with a 1000’s of sites had prior storage that was causing 100’s of store outages a year, each of which averaged 6 hours to recover which cost them $6K each. Failure cost could be much larger and much longer, if there was a data loss.  They obviously needed a much more reliable storage system and wanted to reduce their cost of maintenance. Turning to SvSAN saved them lot’s of $s and time and eliminated their maintenance downtime.

Their largest vertical is retail but StorMagic does well in most ROBO environments which have limited IT staff, and limited data requirements. Other verticals they mentioned included defense (they specifically mentioned the German Army who have a parachute deployable, all-SSD SvSAN storage/data center), manufacturing (with small remote factories), government with numerous sites around the world, financial services (banks with many remote offices), restaurant and hotel chains, large energy companies, wind farms, etc.  Hans mentioned one a large wind farm operator that said their “field” data centers were so remote it took 6 days to get someone out to them to solve a problem but they needed 600GBs of shared storage to manage the complex.

SvSAN architecture

SvSAN uses synchronous mirroring between pairs of servers so that the data is constantly available in both servers of a pair. Presumably the amount of storage available to the SvSAN VSA’s running in the two servers have to be similar in capacity and performance.

An SvSAN cluster can grow by adding pairs of servers or by adding storage to an already present SvSAN cluster. One can have as many pairs of servers in an SvSAN local cluster as you want (probably some maximum here but I can’t recall what they said). The cluster interconnect is 1GbE or 10GbE. Most (~90%) of SvSAN implementations are under 2TB of data but their largest single clustered configuration is 200TB.

SvSAN supplies iSCSI storage services and runs inside a Linux virtual machine. But SvSAN can support both bare metal as well as virtualized server environments.

All the storage within a server that is assigned to SvSAN is pooled together and carved out as iSCSI virtual disks.  SvSAN can make use of raid controller with JBODs, DAS or even SAN storage, anything that is accessible to a virtual machine can be configured as part of SvSAN’s storage pool.

Servers that are accessing the shared iSCSI storage may access either of the servers in a synchronous mirrored pair. As it’s a synchronous mirror, any writes written to one of the servers is automatically mirrored to the other side before an acknowledgement is sent back to the host. Synchronous mirroring depends on multi-pathing software at the host.

As in any solution that supports active-active read-write access there is a need for a Quorum service to be hosted somewhere in the environment. Hopefully, at some location distinct from where a problem could potentially occur, but it doesn’t have to be. In StorMagic’s case this could reside on any physical server, even in the same environment. The Quorum service is there to decide which of the two copies is “more” current when there is some sort of split brain scenario. That is when the two servers in a synchronized pair lose communication with one another. At that point the Quorum service declares one dead and the other active and from that point on all IO activity must be done through the active SvSAN server. The Quorum service can also run on Linux or Windows and remotely or locally. Any configuration changes will need to be communicated to the Quorum service.

They have a bare metal recovery solution. Specifically, when one server fails, customers can ship out another server with a matching configuration to be installed in the remote site. When the new server comes up, it auto-configures it’s storage and networking by using the currently active server in the environment and starts a resynchronization process with that server. Which all means it can be brought up into a high availability mode with almost no IT support other than what it takes to power the server and connect some networking ports. This was made for ROBO!

Code upgrades can be done by taking one of the pair of servers down and loading the new code and resynching it’s data. Then once resynch completes you can do the same with the other server.

They support a fast-resynch service for when one of the pair goes down for any reason. At that point the active server starts tracking any changes that occur in a journal and when the other server comes up it just resends the changes that have occurred since the last time it was up.

SvSAN has support for SSDs and just released an SSD write back caching feature to help improve disk write speeds. They also support an all SSD configuration for harsh environments.

StorMagic also offers an option for non-mirrored disk but I can’t imagine why anyone would use it.

They can dynamically move one mirrored iSCSI volume from one pair of servers to another, without disrupting application activity.

Minimum hardware configuration requires a single core server but can use as many cores that you can give it. StorMagic commented that a single core maxes out at 50-60K IOPS but you can always just add more cores to the solution.

The SvSAN cluster can be managed in VMware vCenter or Microsoft System Center (MSSC) and it maintains statistics which help monitor the storage clusters in the remote office environments.

They also have a scripted recipe to help bring up multiple duplicate remote sites where local staff only need to plug in minimal networking and some storage information and they are ready to go.

SvSAN pricing and other information

Their product lists for 2 servers and 2TB of data storage is $2K and they have standard license options for 4, 8, and 16TB across a server pair after which it’s unlimited amounts of storage for the same price of $10K. This doesn’t include hardware or physical data storage this is just for the SvSAN software and management.

They offer a free 60 day evaluation license on their website (see link above).

There was a lot of twitter traffic and onsite discussion as to how this compared to HP’s StorVirtual VSA solution. The contention was that StorVirtual required more nodes but there was no-one from HP there to dispute this.

Didn’t hear much about snapshot, thin provisioning, remote replication, deduplication or encryption. But for ROBO office environments, that are typically under 2TB most of these features are probably overkill, especially when there’s no permanent onsite IT staff to support the local storage environment.

~~~~

I had talked with StorMagic previously at one or more of the storage/IT conferences we have attended at the past and had relegated them to SMB  storage solutions. But after talking with them at SFD6, their solution became quite clearer. All of the sophisticated functionality they have developed together with their software only solution, seems to be  very appealing solution for these ROBO environments.

 

 

 

VMworld 2014 projects Marvin, Mystic, and more

IMG_2902[This post was updated after being published to delete NDA material – sorry, RL] Attended VMworld2014 in San Francisco this past week. Lots of news, mostly about vSphere 6 beta functionality and how the new AirWatch acquisition will be rolled into VMware’s End-User Computing framework.

vSphere 6.0 beta

Virtual Volumes (VVOLs) is in beta and extends VMware’s software-defined storage model to external NAS and SAN storage.  VVOLs transforms SAN/NAS  storage into VM-centric devices by making the virtual disk a native representation of the VM at the array level, and enables app-centric, policy-based automation of SAN and NAS based storage services, somewhat similar to the capabilities used in a more limited fashion by Virtual SAN today.

Storage system features have proliferated and differentiated over time and to be able to specify and register any and all of these functional nuances to VMware storage policy based management (SPBM) service is a significant undertaking in and of itself. I guess we will have to wait until it comes out of beta to see more. NetApp had a functioning VVOL storage implementation on the show floor.

Virtual SAN 1.0/5.5 currently has 300+ customers with 30+ ready storage nodes from all major vendors, There are reference architecture documents and system bundles available.

Current enhancements outside of vSphere 6 beta

vRealize Suite extends automation and monitoring support for a broad mix of VMware and non VMware infrastructure and services including OpenStack, Amazon Web Services, Azure, Hyper-V, KVM, NSX, VSAN and vCloud Air (formerly vCloud Hybrid Services), as well as vSphere.

New VMware functionality being released:

  • vCenter Site Recovery Manager (SRM) 5.8 – provides self service DR through vCloud Automation Center (vRealize Automation) integration, with up to 5000 protected VMs per vCenter and up to 2000 VM concurrent recoveries. SRM UI will move to be supported under vSphere’s Web Client.
  • vSphere Data Protection Advanced 5.8 – provides configurable parallel backups (up to 64 streams) to reduce backup duration/shorten backup windows, access and restore backups from anywhere, and provides support for Microsoft Exchange DAGs, and SQL Clusters, as well as Linux LVMs and EXT4 file systems.

VMware NSX 6.1 (in beta) has 150+ customers and provides micro segmentation security levels which essentially supports fine grained security firewall definitions almost at the VM level, there are over 150 NSX customers today.

vCloud Hybrid Cloud Services is being rebranded as vCloud Air, and is currently available globally through data centers in the US, UK, and Japan. vCloud Air is part of the vCloud Air Network, an ecosystem of over 3,800 service providers with presence in 100+ countries that are based on common VMware technology.  VMware also announced a number of new partnerships to support development of mobile applications on vCloud Air.  Some additional functionality for vCloud Air that was announced at VMworld includes:

  • vCloud Air Virtual Private Cloud On Demand beta program supports instant, on demand consumption model for vCloud services based on a pay as you go model.
  • VMware vCloud Air Object Storage based on EMC ViPR is in beta and will be coming out shortly.
  • DevOps/continuous integration as a service, vRealize Air automation as a service, and DB as a service (MySQL/SQL server) will also be coming out soon

End-User Computing: VMware is integrating AirWatch‘s (another acquisition) enterprise mobility management solutions for mobile device management/mobile security/content collaboration (Secure Content Locker) with their current Horizon suite for virtual desktop/laptop support. VMware End User Computing now supports desktop/laptop virtualization, mobile device management and security, and content security and file collaboration. Also VMware’s recent CloudVolumes acquisition supports a light weight desktop/laptop app deployment solution for Horizon environments. AirWatch already has a similar solution for mobile.

OpenStack, Containers and other collaborations

VMware is starting to expand their footprint into other arenas, with new support, collaboration and joint ventures.

A new VMware OpenStack Distribution is in beta now to be available shortly, which supports VMware as underlying infrastructure for OpenStack applications that use  OpenStack APIs. VMware has become a contributor to OpenStack open source. There are other OpenStack distributions that support VMware infrastructure available from HP, Cannonical, Mirantis and one other company I neglected to write down.

VMware has started a joint initiative with Docker and Pivotal to broaden support for Linux containers. Containers are light weight packaging for applications that strip out the OS, hypervisor, frameworks etc and allow an application to be run on mobile, desktops, servers and anything else that runs Linux O/S (for Docker Linux 3.8 kernel level or better). Rumor has it that Google launches over 15M Docker containers a day.

VMware container support expands from Pivotal Warden containers, to now also include Docker containers. VMware is also working with Google and others on the Kubernetes project which supports container POD management (logical groups of containers). In addition Project Fargo is in development which is VMware’s own lightweight packaging solution for VMs. Now customers can run VMs, Docker containers, or Pivotal (Warden) containers on the same VMware infrastructure.

AT&T and VMware have a joint initiative to bring enterprise grade network security, speed and reliablity to vCloud Air customers which essentially allows customers to use AT&T VPNs with vCloud Air. There’s more to this but that’s all I noted.

VMware EVO, the next evolution in hyper-convergence has emerged.

  • EVO RAIL (formerly known as project Marvin) is appliance package from VMware hardware partners that runs vSphere Suite and Virtual SAN and vCenter Log Insight. The hardware supports 4 compute/storage nodes in a 2U tall rack mounted appliance. 4 of these appliances can be connected together into a cluster. Each compute/storage node supports ~100VMs or ~150 virtual desktops. VMware states that the goal is to have an EVO RAIL implementation take at most 15 minutes from power on to running VMs. Current hardware partners include Dell, EMC (formerly named project Mystic), Inspur (China), Net One (Japan), and SuperMicro.
  • EVO RACK is a data center level hardware appliance with vCloud Suite installed and includes Virtual SAN and NSX. The goal is for EVO RACK hardware to support a 2hr window from power on to a private cloud environment/datacenter deployed and running VMs. VMware expects a range of hardware partners to support EVO RACK but none were named. They did specifically mention that EVO RACK is intended to support hardware from the Open Compute Project (OCP). VMware is providing contributions to OCP to facilitate EVO RACK deployment.

~~~~

Sorry about the stream of consciousness approach to this. We got a deep dive on what’s in vSphere 6 but it was all under NDA. So this just represents what was discussed openly in keynotes and other public sessions.

Comments?

 

What’s wrong with SPECsfs2008?

I have been analyzing SPECsfs results now for almost 7 years now and I feel that maybe it’s time for me to discuss some of the t problems with SPECsfs2008 today that should be fixed in the next SPECsfs20xx whenever that comes out.

CIFS/SMB

First and foremost, for CIFS SMB 1 is no longer pertinent to today’s data center. The world of Microsoft has moved on to SMB 2 mostly and are currently migrating to SMB 3.  There were plenty of performance fixes in the last years SMB 3.0 release which would be useful to test with current storage systems. But I would be even be somewhat happy with SMB2 if that’s all I can hope for.

My friends at Microsoft would consider me remiss if I didn’t mention that since SMB 2 they no longer call it CIFS and have moved to SMB. SPECsfs should follow this trend. I have tried to use CIFS/SMB in my blog posts/dispatches as a step in this direction mainly because SPEC continues to use CIFS and Microsoft wants me to use SMB.

In my continuing quest to better compare different protocol performance I believe it would be useful to insure that the same file size distributions are used for both CIFS and NFS benchmarks. Although the current Users Guide discusses some file size information for NFS it is silent when it comes to CIFS. I have been assuming that they were the same because of lack of information but this would be worthy to have confirmed in documentation.

Finally for CIFS, it would be very useful if there could be a closer approximation of the same amount of data transfers that are done for NFS.  This is a nit but when I compare CIFS to NFS storage system results there is a slight advantage to NFS because NFS’s workload definition doesn’t do as much reading as CIFS. In contrast, CIFS has slightly less file data write activity than the NFS benchmark workload. Having them be exactly the same would help in any (unsanctioned) comparisons.

NFSv3

As for NFSv3, although NFSv4 has been out for more than 3 years now, it has taken a long time to be widely adopted. However, these days there seems to be more client and storage support coming online every day and maybe this would be a good time to move on to NFSv4.

The current NFS workloads, while great for the normal file server activities, have not kept pace with much of how NFS is used today especially in virtualized environments. As far as I can tell under VMware NFS data stores don’t do a lot of meta-data operations and do an awful lot more data transfers than normal file servers do. Similar concerns apply to NFS used for Oracle or other databases. Unclear how one could incorporate a more data intensive workload mix into the standard SPECsfs NFS benchmark but it’s worthy of some thought. Perhaps we could create a SPECvms20xx benchmark that would test these types of more data intensive workloads.

For both NFSv3 and CIFs benchmarks

Both the NFSv3 and CIFS benchmarks typically report [throughput] ops/sec. These are a mix of all the meta-data activities and the data transfer activities.  However, I think many storage customers and users would like a finer view of system performance. .

I have often been asked just how many files a storage system actually support. This depends of course on the workload and file size distributions but SPECsfs already defines this. As a storage performance expert, I would also like to know how much data transfer can a storage system support in MB/sec read and written.  I believe both of these metrics can be extracted from the current benchmark programs with a little additional effort. Probably another half dozen metrics that would be useful maybe we could sit down and have an open discussion of what these might be.

Also the world has changed significantly over the last 6 years and SSD and flash has become much more prevalent. Some of your standard configuration tables could be better laid out to insure that readers understand just how much DRAM, flash, SSDs and disk drives are in a configuration.

Beyond file NAS

Going beyond SPECsfs there is a whole new class of storage, namely object storage where there are no benchmarks available. I would think now that Amazon S3 and Openstack Cinder are well defined and available that maybe a new set of SPECobj20xx benchmarks would be warranted. I believe with the adoption of software defined data centers, object storage may become the storage of choice over the next decade or so. If that’s the case then having some a benchmark to measure object storage performance would help in its adoption. Much like the original SPECsfs did for NFS.

Then there’s the whole realm of server SAN or (hyper-)converged storage which uses DAS inside a cluster of compute servers to support block and file services. Not sure exactly where this belongs but NFS is typically the first protocol of choice for these systems and having some sort of benchmark configuration that supports converged storage would help adoption of this new type of storage as well.

I think thats about it for now but there’s probably a whole bunch more that I am missing out here.

Comments?

Object Storage Summit wrap up

Attended ExecEvent’s first Next-Gen Object Storage Summit in Miami this past week.  Learned a lot there and met a lot of the players and movers in this space.  Here is a summary of what happened during the summit.

Janae starting a debate on Object Storage
Janae starting a debate on Object Storage

Spent most of the morning of the first day discussing some parameters of  object storage in general. Janae got up and talked about 4 major adopters for object storage:

  1. Rapid Responders – these customer have data in long term storage and it  just keeps building and needs to be stored in scaleable storage. They believe someday they  will need access to it and have no idea when. But when they want it, they want it fast. Rapid responder adoption  is based on the unpredictability of access. As such, having the data on scaleable disk object storage makes sense.  Some examples include black operations sites with massive surveillance feeds which maybe needed fast sometime after initial analysis and medical archives.
  2. Distributed (content) Enterprises – geographically distributed enterprises with users around the globe that need shared access to data.  Distributed enterprises often have 100 or so users sharing data access dispersed around the globe and want shared access to data.   Object storage can dispurse the data to provide local caching across the world for better data and meta-data latency.  Media and Entertainment are key customers in this space but design shops that follow the sun also have the problem.
  3. Private Cloud(y) – data centers adopt the cloud for a number of reasons but sometimes it’s just mandated.  In these cases, direct control over cloud storage with the economics of major web service providers can be an alluring proposition.  Some object storage solutions roll in with cloud like economics and on premises solutions and responsiveness, the best of all worlds.  Enterprise IT forced to move to the cloud are in this category.
  4. Big Hadoop(ers) – lots of data to analyze but with no understanding of when it will be analyzed.  Some Hadoopers can schedule analytics but most don’t know what they will want until they finish with the last analysis. In these cases, having direct access to all the data on an object store can cut setup time considerably.

There were other aspects of Janae’s session but these seemed of most interest. We spent the debating aspects of object storage rest of the morning getting an overview on Scality customers. At the end of the morning we debating aspects of object storage.  I thought Jean-Luc from Data Direct Networks had the best view of this when he said object storage is at it’s core, data storage that has scalability, resilience, performance and distribution.

The afternoon sessions were deep dives with the sponsors of the Object Summit.

  • Nexsan talked about there Assureon product line (EverTrust acquisition).  SHA1 and MD5 hashes are made of every object then as objects are replicated to other sites, the hashes are both checked to insure the data hasn’t been corrupted and the are  periodically checked (every 90 days) to see if the data is still correct. If it’s corrupted,  other replica’s obtained and re-instated.  In addition, Assureon has some unique immutable access logs that provide an almost “chain of custody” for objects in the system.  Finally, Assureon uses a Microsoft Windows Agent that is Windows Certified and installs without disruption to allow any user (or administrator) to identify files, directories, or file systems to be migrated to the object store.
  • Cleversafe was up next and talked about their market success with their distributed dsNet® object store and provided some proof points. [Full disclosure: I have recently been under contract with Cleversafe]. For instance, today they have under management over 15 billion objects and deployments with over 70PBs in production They have shipped over 170PB of dsNet storage to customers around the world. Cleversafe has many patents covering their information dispersal algorithms and performance optimization.  Some of their sites are in the Federal government installations with a few web intensive clients as well, the most notable being Shutterfly, photo sharing site.  Although dsNet is inherently geographical distributed  all these “sites” could easily be configured over 1 to 3 locations or more for simpler DR-like support.
  • Quantum talked about their Lattus product  built ontop of Amplidata’s technology. Lattus uses 36TB storage nodes, controller nodes to provide erasure coding for geographical data integrity and NAS gateway nodes.  The NAS gateway provides CIFS and NFS to objects. The Latus-C deployment is a forever disk archive for cloud like deployments. This system provides erasure coding for objects in the system which are then dispersed across up to 3 sites (today, with 4 site dispersal under test).  Their roadmap Lattus-M is going to be a managed file system offering that operates in conjunction with their StorNext product with ILMlike policy management. Farther out, on the roadmap is a Lattus-H which offers object repository for Hadoop clusters that can gain rapid access to data for analysis.
  • Scality talked about their success in major multi-tennant environments that need rock-solid reliability and great performance. Their big customers are major web providers that supply email services. Scality is a software product that builds a ring of object storage nodes that supplies the backend storage where the email data is held.  Scality is priced on a per end-user capacity stored. Today the product supports RestFul interfaces, CDMI (think email storage interface), Scality File System (based on FUSE, a POSIX compliant Linux file system). NFS interface is coming early next year.  With the Scality Ring, nodes can go down but the data is still available with rapid response time.  Nodes can be replicated or spread across multiple locations
  • Data Direct Networks (DDN) is coming at the problem from the High Performance Computing market and have an very interesting scaleable solution with extreme performance. DDN products are featured in many academic labs and large web 2.0 environments.  The WOS object storage supports just about any interface you want Java, PHP, Python, RestFULL, NFS/CIFS, S3 and others. They claim very high performance something on the order of 350MB/sec read and 250MB/sec write (I think per node) of object data transfers.  Nodes come in 240TB units and one can have up to 256 nodes in a WOS system.   One customer uses a WOS node to land local sensor streams then ships it to other locations for analysis.
View from the Summit balcony, 2nd day
View from the Summit balcony, 2nd day

The next day was spent with Nexsan and DDN talking about their customer base and some of their success stories. We spent the remainder of the morning talking about the startup world which surrounds some object storage technology and the inhibiters to broader adoption of the technology.

In the end there’s a lot of education needed to jump start this market place. Education about both the customer problems that can be solved with object stores and the product differences that are out there today.  I argued (forcefully) that what’s needed to accelerate adoption was some standard interface protocol that all object storage systems could utilize. Such a standard protocol would enable a more rapid ecosystem build out and ultimately more enterprise adoption.

One key surprise to me was that the problems their customers are seeing is something all IT customers will have some day. Jean-Luc called it the democratization of the HPC problems. Big Data is driving object storage requirements into the enterprise in a big way…

Comments?