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Storage

Storage DRS interoperability white paper released

Duncan Epping · Jun 29, 2012 ·

I just noticed I never blogged about a white paper Frank Denneman and I co-authored. The white paper deals about interoperability between Storage DRS and various other products and features. I highly recommend reading it if you are planning on implementing Storage DRS or want to get a better understanding of how Storage DRS interacts with other components of your infrastructure.

Storage DRS interoperability
This document presents an overview of best practices for customers considering the implementation of VMware vSphere Storage DRS in combination with advanced storage device features or other VMware products.

http://www.vmware.com/resources/techresources/10286

vSphere Metro Storage Cluster white paper released!

Duncan Epping · May 23, 2012 ·

I wanted to point you guys to a white paper that I have worked on for the last months. This white paper was written in collaboration with Lee Dilworth, Ken Werneburg, Frank Denneman and Stuart Hardman. Thanks guys for taking time out of your busy schedule to work with me on this project! This white paper is about vSphere Metro Storage Cluster solutions (aka stretched clusters) and specifically looks at things from a VMware perspective. Enjoy!

  • VMware vSphere Metro Storage Cluster (VMware vMSC) is a new configuration within the VMware Hardware Compatibility List. This type of configuration is commonly referred to as a stretched storage cluster or metro storage cluster. It is implemented in environments where disaster/downtime avoidance is a key requirement. This case study was developed to provide additional insight and information regarding operation of a VMware vMSC infrastructure in conjunction with VMware vSphere. This paper will explain how vSphere handles specific failure scenarios and will discuss various design considerations and operational procedures.
    http://www.vmware.com/resources/techresources/10284

An introduction to Storage DRS

Duncan Epping · May 22, 2012 ·

Today someone asked for a Storage DRS intro, I wrote one for our book a year ago and figured I would share it with the world. I still feel that Storage DRS is one of the coolest features in vSphere 5.0 and I think that everyone should be using this! I know there are some caveats (1, 2) when you are using specific array functionality or for instance SRM, but nevertheless… this is one of those features that will make an admin’s life that much easier! If you are not using it today, I highly suggest evaluating this cool feature.

*** out take from the vSphere 5.0 Clustering Deepdive ***

vSphere 5.0 introduces many great new features, but everyone will probably agree with us that vSphere Storage DRS is most the exciting new feature. vSphere Storage DRS helps resolve some of the operational challenges associated with virtual machine provisioning, migration and cloning. Historically, monitoring datastore capacity and I/O load has proven to be very difficult. As a result, it is often neglected, leading to hot spots and over- or underutilized datastores. Storage I/O Control (SIOC) in vSphere 4.1 solved part of this problem by introducing a datastore-wide disk-scheduler that allows for allocation of I/O resources to virtual machines based on their respective shares during times of contention.

Storage DRS (SDRS) brings this to a whole new level by providing smart virtual machine placement and load balancing mechanisms based on space and I/O capacity. In other words, where SIOC reactively throttles hosts and virtual machines to ensure fairness, SDRS proactively makes recommendations to prevent imbalances from both a space utilization and latency perspective. More simply, SDRS does for storage what DRS does for compute resources.

There are five key features that SDRS offers:

  • Resource aggregation
  • Initial Placement
  • Load Balancing
  • Datastore Maintenance Mode
  • Affinity Rules

Resource aggregation enables grouping of multiple datastores, into a single, flexible pool of storage called a Datastore Cluster. Administrators can dynamically populate Datastore Clusters with datastores. The flexibility of separating the physical from the logical greatly simplifies storage management by allowing datastores to be efficiently and dynamically added or removed from a Datastore Cluster to deal with maintenance or out of space conditions. The load balancer will take care of initial placement as well as future migrations based on actual workload measurements and space utilization.

The goal of Initial Placement is to speed up the provisioning process by automating the selection of an individual datastore and leaving the user with the much smaller-scale decision of selecting a Datastore Cluster. SDRS selects a particular datastore within a Datastore Cluster based on space utilization and I/O capacity. In an environment with multiple seemingly identical datastores, initial placement can be a difficult and time-consuming task for the administrator. Not only will the datastore with the most available disk space need to be identified, but it is also crucial to ensure that the addition of this new virtual machine does not result in I/O bottlenecks. SDRS takes care of all of this and substantially lowers the amount of operational effort required to provision virtual machines; that is the true value of SDRS.

However, it is probably safe to assume that many of you are most excited about the load balancing capabilities SDRS offers. SDRS can operate in two distinct modes: No Automation (manual mode) or Fully Automated. Where initial placement reduces complexity in the provisioning process, load balancing addresses imbalances within a datastore cluster. Prior to vSphere 5.0, placement of virtual machines was often based on current space consumption or the number of virtual machines on each datastore. I/O capacity monitoring and space utilization trending was often regarded as too time consuming Over the years, we have seen this lead to performance problems in many environments, and in some cases, even result in down time because a datastore ran out of space. SDRS load balancing helps prevent these, unfortunately, common scenarios by making placement recommendations based on both space utilization and I/O capacity when the configured thresholds are exceeded. Depending on the selected automation level, these recommendations will be automatically applied by SDRS or will need to be applied by the administrator.

Although we see load balancing as a single feature of SDRS, it actually consists of two separately-configurable options. When either of the configured thresholds for Utilized Space (80% by default) or I/O Latency (15 milliseconds by default) are exceeded, SDRS will make recommendations to prevent problems and resolve the imbalance in the datastore cluster. In the case of I/O capacity load balancing, it can even be explicitly disabled.

Before anyone forgets, SDRS can be enabled on fully populated datastores and environments. It is also possible to add fully populated datastores to existing datastore clusters. It is a great way to solve actual or potential bottlenecks in any environment with minimal required effort or risk.

Datastore Maintenance Mode is one of those features that you will typically not use often; you will appreciate it when you need. Datastore Maintenance Mode can be compared to Host Maintenance Mode: when a datastore is placed in Maintenance Mode all registered virtual machines, on that datastore, are migrated to the other datastores in the datastore cluster. Typical use cases are data migration to a new storage array or maintenance on a LUN, such as migration to another RAID group.

Affinity Rules enable control over which virtual disks should or should not be placed on the same datastore within a datastore cluster in accordance with your best practices and/or availability requirements. By default, a virtual machine’s virtual disks are kept together on the same datastore.

For those who want more details, Frank Denneman wrote an excellent series about Datastore Clusters which might interest you:

Part 1: Architecture and design of datastore clusters.
Part 2: Partially connected datastore clusters.
Part 3: Impact of load balancing on datastore cluster configuration.
Part 4: Storage DRS and Multi-extents datastores.
Part 5: Connecting multiple DRS clusters to a single Storage DRS datastore cluster.
Part 6: Aggregating datastores from multiple storage arrays into one Storage DRS datastore cluster.

Some other articles that might be of use:

  • SDRS and Auto-Tiering solutions – The Injector (Duncan)
  • Storage DRS Load Balance Frequence (Frank)
  • SDRS Out-Of-Space avoidance (Frank)
  • Storage vMotion and the mirror-mode driver (Duncan)

The following video will give an overview of the above mentioned features… worth checking.

Why is my pathing policy limited to “fixed” or “MRU” with things like MSCS cluster?

Duncan Epping · May 17, 2012 ·

Yesterday I received an email from someone. He wanted to know why he was limited to using either the “fixed” or “MRU” pathing policy for the LUNs attached to his MSCS cluster. In his environment they used round-robin for everything and not being able to configure all of them with the same policy was against their internal policy. The thing is that if round-robin would be used and the path would switch (by default every 1000 I/Os) the SCSI-2 reservation would need to be re-acquired on this LUN. (MSCS uses SCSI-2 reservations for their cluster devices) As you can imagine that could cause a lot of stress on your array and could lead to all sorts of problems. So please do not ignore this recommendation! Some extra details can be found in the following KB articles:

  • http://kb.vmware.com/kb/1033678
  • http://kb.vmware.com/kb/1037959

Project Octopus Beta

Duncan Epping · May 3, 2012 ·

I’ve been using Octopus for months internally already as I already discussed in my enterprise social collaboration post and I think it is an awesome tool! I would recommend everyone who is interested in an enterprise level file sharing solution, not unlike dropbox, to sign up for the beta as Octopus is the way to go!

Project Octopus is the successful marriage of Zimbra and Mozy technologies, with some additional code jointly developed by the two teams. Prior to GA release, it will be folded into Horizon, providing a centralized policy and entitlement engine that will broker user access to applications, virtual desktops and data resources. The result will be a simple, seamless end-user experience when accessing work resources across private and public clouds on whatever device the user chooses.

The beta is open to all and will last through VMworld. Due to limited support resources, priority will be placed on customers with active engagements.

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About the Author

Duncan Epping is a Chief Technologist and Distinguished Engineering Architect at Broadcom. Besides writing on Yellow-Bricks, Duncan is the co-author of the vSAN Deep Dive and the vSphere Clustering Deep Dive book series. Duncan is also the host of the Unexplored Territory Podcast.

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