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Posts Tagged ‘ESX’

I posted an article in December on how the SVGA driver included with VMware Tools caused the guest VM to freeze.  I referenced VMware’s KB Article 1011709, which directed you to not use the SVGA drivers included with VMware Tools.  KB1011709 has since been updated (as of February 25, 2010) to indicate that the VMware Tools package included with ESX 4.0 Update 1 includes a new WDDM driver that is fully supported.  If you have updated to Update 1, you should upgrade VMware Tools to take advantage of the new driver.

If you followed the KB1011709′s original advice and did a custom install of VMware Tools (leaving out the SVGA driver through a custom install), you may have to do a re-install of VMware Tools before the new driver is available.   Once you get VMware Tools upgraded, the new driver can be found in the guest VM at C:\Program Files\Common Files\VMware\Drivers\wddm_video.  These drivers are not automatically installed, so you’ll have to update your guest’s video adapter driver in Device Manager.

It’s a bummer that the WDDM SVGA drivers are not automatically installed.  You could  probably copy these drivers to other VM’s and use Windows Device Manager to replace the standard driver with the newer WDDM driver without having to do the uninstall, reboot, reinstall of VMware tools on all of your VM’s.

Just as I was about to publish this, I saw a TweetDeck pop-up from @jasonboche saying that he had published pretty much the same update here: http://www.boche.net/blog/index.php/2010/03/28/windows-2008-r2-and-windows-7-on-vsphere/.  Not only does he have pretty pictures to go with his post, but also points out that VMware Tools installs/upgrades executed with VMware Update Manager (VUM) will not install the upgraded SVGA driver.  He also recommends updating templates to include the upgraded drivers.  Great points, Jason.

My Storage Basics series has been neglected for some time (sick kids, snow storms, VMware Upgrades, SAN implementations and some Cisco switch upgrades took all my free time), so let’s jump right in to Part V – Cache, Controllers, and Coalescing.   Between the alliteration and fancy words, it might seem like I am about to tell a tale of international espionage.  Unfortunately, my introductory treatment of these aspects of a storage system will probably not keep you on the edge of your seat – but I’ll try to keep it interesting.

Throughout this series, we’ve been working our way from the basic building block of any storage system – the disks – outwards towards the brains of the operation – the controller.  You’ll recall that in Part II I introduced IOPS and the math that goes into calculating the IOPS capacity of a disk array.  In Part III we considered a RAID implementation’s impact on performance and availability.  And most recently in Part IV we looked at the common interface types when dealing with storage arrays.  If we put the previous parts together we still don’t have a functional storage system.  The missing piece is the controller.  Simply put, the storage controller is the hardware adapter between the disks and the servers that connect to the storage.  The controller has a specific ‘interface‘ type, is responsible for RAID operations, and handles advanced storage functionality.  A controller can be as simple as the Dell PERC or HP Smart Array add-in card on your server, or as complex as the Storage Processor in an enterprise class Storage Area Network (SAN) such as an EMC CLARiiON or NetApp FAS.

Controllers

As we look at controllers and the advanced features they provide we’ll see that some of the earlier performance equations start to break down.  The simplest controllers take disk read/write commands from the operating system and send commands down to the disk(s) attached to be read or written. This gets data onto the disk, but often does not do so in an efficient or reliable manner.  RAID-capable controllers take on the added responsibility of configuring disks in the desired RAID level, calculating & writing parity data, and writing the data in disk-spanning stripes or mirrors depending on the RAID level.

Cache

To increase performance and improve reliability, storage vendors implement a caching system on their controllers.  Cache is memory that acts as a buffer for disk I/O, and is usually battery-backed to prevent data loss in the event of a power failure.  Because of the exponentially greater speed of RAM over spinning magnetic disks, cache can improve performance by orders of magnitude. Cache can operate on both reads and writes to disk.

When dealing with writes, the controller cache is typically used in one of two ways: write-through or write-back.  In write-through mode, data is written to volatile cache and then to disk, and only acknowledged as written once the data resides on the non-volatile disk.  Write-back mode allows the controller to acknowledge the data as having been written as soon as it is held in cache.  This allows the cache to buffer writes quickly and then write them to the slower disk when the disk has cycles to accept I/O.  The greater your cache size, the more data that can be buffered, ultimately resulting in better performance as measured in both IOPS and throughput.  This graph from my article on troubleshooting write performance on an IBM DS3300 iSCSI array shows how throughput increased and latency decreased when enabling write cache.  The extent to which cache increases performance is highly dependent on the workload characteristics (I/O size, randomness, and ratio of reads:writes).

Read-cache acts as a buffer for reads in a couple ways.  First, some controllers attempt to ‘read-ahead’, anticipating future read requests from the operating system and buffering what it expects to be the next blocks of desired data.  Some entry-level controllers simply buffer the next physical chunk of data and fill cache memory with it, while more advanced controllers may attempt to predict the right block of data based on previous requests (you just asked for 3 blocks in a row, I’m guessing you’ll come asking for the 4th next so I’ll just buffer it in fast cache for you now).  Secondly, read cache holds data that has been previously read, regardless of any pre-fetching the controller may have done.  This allows for much faster subsequent access of the same data because it is held in the faster cache, eliminating the need for the controller to go to disk for the data again.  Just like with write cache, the extent to which cache increases performance is highly dependent on the workload characteristics.

A given storage array controller only has so much cache to work with.  A Dell PERC5/E, for example, has 256MB of cache that can be used for both read and write.  While this may be enough for a direct-attached storage array, SAN’s serving multiple systems demand more cache.  In contrast, an EMC CLARiiON CX4-960 has 32GB.  Some storage vendors, such as NetApp, are getting creative with cache.  NetApp’s Performance Acceleration Module (PAM) is an add-in card that provides up to a whopping 512GB of Layer 2 cache to the storage system.

Caching mechanisms can dramatically influence performance under the right conditions.  With healthy cache in place, IOPS calculations become skewed.  However, cache can be exhausted or may not hold the data you are interested in.  If cache is insufficient to satisfy read requests, or has reached its high-water mark for writes, performance can drop off.  When cache is exhausted, the backing disk must be able to satisfy the I/O workload or performance will be unacceptable.  This is where the IOPS calculations kick in, and where having the right disk type and configuration really matters.

Queuing & Coalescing

Advanced storage systems introduce additional features to reduce I/O contention and improve cache utilization.  I won’t go into all of the features here because they vary by storage vendor.  However, I will point out two common techniques – queuing and coalescing.

Queuing refers to the ability of a storage system to queue storage commands for later processing.  Queuing can take place at various points in your storage environment, from the HBA to the storage processor/controller.  A little queuing may be OK depending on your workload, but too many outstanding I/Os can negatively impact performance (this is measured in latency).  Queue depths can be adjusted on many components in your storage and VMware landscape, but check with your vendor’s support group before you make changes to these settings.

Coalescing is performed by some storage systems to modify the character of the workload.  To better understand coalescing, picture a bunch of random write activity.  Without cache in place, the disk heads will be bouncing all over the platters trying to get the data on to disk.  A little write cache will allow the storage array to acknowledge the write for the OS, but the array still needs to de-stage that data from cache to disk quickly to prevent cache exhaustion.  The back-end disks will still be doing the chicken dance, bouncing around trying to write the random workload….  Now picture an intelligent system that re-orders the random writes that are held in cache and writes them to the disk in nice sequential stripes.  The disk heads will be less prone to jumping around the platter and the behavior will start to look more like a nice waltz than the funky chicken dance.  Coalescing is used for writes, not reads, so not all workloads benefit.

Wrap-up

With this article on Controllers, Cache, and Coalescing we’ll end our look at the basic building blocks of a storage array.  Before we end the Storage Basic series I am planning a few more articles on Storage Workload Characterization (which has been mentioned, but not directly addressed in this and previous articles), Identifying a Stressed Storage System, and Best Practices for Storage Performance in a VMware Environment.

If you are interested in more reading on Controllers, Cache, and Coalescing, I recommend the following:

Additional Reading:

• Impact of cache on the performance of the HP StorageWorks XP12000 Disk Array white paper
• Performance impact of controller cache: SQL Server read only workloads
• IOps? – Dig into the article’s comments for some great dialog between some people who really know their stuff!
• Storage Performance for SQL Server
• Storage Caching 101 – Chuck Hollis (EMC)
• Improving Performance with Interrupt Coalescing for Virtual Machine Disk IO in VMware ESX Server

A reader named Mark contacted me today and asked if there was a way to reduce the size of the batch output from an ESXTOP run.  And he asks for good reason: Depending on the number of VM’s on your host, the delay between ESXTOP samplings and the number of samples you collect, using the All Stats option (-a) can yield a massive file in a short period of time.  If written to a partition on your ESX Service Console you run the risk of filling the partition, and forget about actually being able to analyze the data in PERFMON or Excel.  For example, on an ESX host running ~15 VM’s I produced 100MB worth of CSV using the -a switch, sampling every 15 seconds, for just under 2 hours.  ESXTOP uses 10-second intervals by default; I used -d 15 to change the sampling delay.  Had I went with the default my output would have been bigger.

To reduce the size of your output, you can change your sampling delay to something larger, say 30-seconds.  I suppose you could also capture statistics when the host is not busy so you get fewer characters in the results, but that’s just being goofy.

A better way to reduce your ESXTOP output size is to selectively include only the statistics you are interested in, and is really what Mark was asking.  After all, all statistics from ESXTOP can be too many statistics, and chances are you already know what stats you are interested in.  Here’s how you can narrow down the collected stats for easier analysis and smaller output:

1. Enter ESXTOP in interactive mode on the Service Console by simply typing esxtop at the # prompt
2. Switch to a component you are NOT interested in capturing statistics on by pressing the corresponding menu option (c: ESX cpu, m: ESX memory, d: ESX disk adapter, u: ESX disk device, v: ESX disk VM).
3. Press f when viewing the component you do not want to capture.  A list of fields will be displayed.  You can toggle the fields on and off by pressing the letter corresponding to each field.  An * indicates that the field is on.  You want to turn off all of the fields you don’t want to collect.
4. Repeat steps 2 & 3 for the remaining components, leaving only what you want to capture.
5. Switch to the component you want to capture in batch mode and repeat step #3, except you will now enable what you want to capture.
6. Press W (capital W – case sensitive) to write out the ESXTOP configuration file.  You can accept the default or create new configuration files.  You may want to create a CPU-only config file, memory-only, and so forth.
7. Press CTRL+C to stop ESXTOP.
8. Now, invoke ESXTOP in batch mode, calling your updated or new configuration file you created in step #6 using the -c switch.  Here’s an example:# esxtop -b -d 30 -n 480 -c .esxtopcpustats > /tmp/esxtop_cpu_stats.csv where .esxtopcpustats is an ESXTOP config file with only CPU stats.  -d sets your capture interval to 30 seconds, and -n sets the number of samples to 480 (or 4 hours with a delay of 30 seconds).

Once your capture is complete you can replay the sampling in ESXTOP using replay mode (-R), or you can copy the .csv to a Windows system and use PERFMON or Excel to analyze the stats.  If using PERFMON or Excel you will notice that the system summary information displayed at the top of an interactive ESXTOP session is included in the output (console memory, console cpu, etc.).  As far as I know, there is no way to disable this, nor would you want to as it includes the time stamp necessary to interpret your data.

It is possible to use the vSphere CLI or the vSphere Management Assistant (vMA) to run RESXTOP, a version of ESXTOP designed for remote administration of ESXi or ESX.  You may note, however, RESXTOP from the vSphere CLI only works from a Linux client.  Using either of these tools will help you to automate ESXTOP statistics collection from multiple hosts using customized configuration files.

Microsoft published a document named “Getting to Know Hyper-V: A Walkthrough from Initial Setup to Common Scenarios” last week.  According to Microsoft, “this guide provides detailed step-by-step walkthroughs for testing Hyper-V on a pre-production environment. You can use this guide to become familiar with Hyper-V and the process of creating and managing virtual machines. Also included in this guide are useful scenarios that you can test to better understand how Hyper-V can address the business goals of your organization.”  The document serves as a sort of evaluators guide for Hyper-V, stepping the reader through everything from enabling VT in BIOS through virtual networking.  It also includes some sections on using snapshots, base virtual machine templates, and managing Hyper-V based virtual machines remotely with Hyper-V Manager.  If you want more in-depth documentation on Hyper-V you can go through http://technet.microsoft.com.

As a side note, Microsoft has published the Microsoft Manual of Style for Technical Publications to help standardize technical documentation.  I have long been a fan of Microsoft’s technical documentation for its easy to read style, although it sometimes lacks the depth that I desire.

While we’re on the topic of virtualization documentation, I have also been quite pleased with VMware’s technical documentation over the years, and have found it to be continually increasing in quality, providing very specific technical guidance and references to additional resources.  I have also been pleased to see that VMware has improved delivery options for documentation.  VMware offers several formats for documentation delivery, including web-based and PDF’s.  Start with the Documentation Roadmap for a quick introduction to the available documentation, and where to find what you need.

You can find web-based vSphere documentation here: http://pubs.vmware.com/vsp40/.   The web-based documentation is great for running searches on.  All vSphere documentation can be accessed through this page: http://www.vmware.com/support/pubs/vs_pages/vsp_pubs_esx40_vc40.html.  If you want to do a full grab of all of VMware’s documentation for an in-house repository (e.g. SharePoint), check out xtravirt’s VMware Documentation Downloader script.

If you are looking for quick and easy evaluator guide-type documentation from VMware, check out these resources: ESXi Installable and vCenter Server Setup Guide and the Virtualization Kit (registration required) at http://www.vmware.com/resources/wp/virtualization101_register.html.

There is a ton of less formal VMware documentation in several places:

• Technical resources and case studies here: http://www.vmware.com/resources/techresources/
• Proven practices around Strategy, Applications, Security, Management, and Availability at VIOPS.
• Official VMware Blogs at http://www.vmware.com/vmtn/planet/vmware/.
• Community blogs aggregated by VMware at Planet v12n: http://www.vmware.com/vmtn/planet/v12n/
• VMworld Recorded Sessions & Labs (VMworld 2009 Sessions available as of today, September 14th) at http://vmworld.com.
• The VMware Community Forums: http://communities.vmware.com/
• And, 3rd party books like Scott Lowe’s Mastering VMware vSphere 4.

Do you have other sources of virtualization documentation or easy methods of searching documentation to find exactly what you need when you need it?  If so, leave a comment!