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  • Benchmark for website speed optimization

    - by gowri
    I working on website speed optimization. I mostly used 3 tools for analyzing speed of optimization. Speed analyzing Tools: Google pagespeed tool Yslow Firefox extenstion Web Page Performance Test I am measuring performance using above tool and benchmark result as below like before and after. Before optimization : Google PageSpeed Insights score : 53/100 Web Page Performance Test : 55/100 (First View : 10.710s, Repeat view : 6.387s ) Yahoo Overall performance score : 68 Stage 1 After optimization : Google PageSpeed Insights score : 88/100 Web Page Performance Test : 88/100 (First View : 6.733s, Repeat view : 1.908s ) Yahoo Overall performance score : 80 My question is ? Am i doing correct way ? What is the best way of benchmark for speed optimization ? Is there any standard ? Is there any much better tool for analyzing speed ?

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  • Linux Tuning for High Traffic JBoss Server with LDAP Binds

    - by Levi Stanley
    I'm configuring a high traffic Linux server (RedHat) and running into a limit I haven't been able to track down. I need to be able to handle sustained 300 requests per second throughput using Nginx and JBoss. The point of this server is to run checks on a user's account when that user signs in. Each request goes through Nginx to JBoss (specifically Torquebox with JBoss A7 with a Sinatra app) and then makes an LDAP request to bind that user and retrieve several attributes. It is during the bind that these errors occur. I'm able to reproduce this going directly to JBoss, so that rules out Nginx at least. I get a variety of error messages, though oddly JBoss stopped writing to the log file recently. It used to report errors about creating native threads. Now I just see "java.net.SocketException: Connection reset" and "org.apache.http.conn.HttpHostConnectException: Connection to http://my.awesome.server:8080 refused" as responses in jmeter. To the best of my knowledge, I have plenty of available file handles, processes, sockets, and ports, yet the issue persists. Unfortunately, I have very little experience tuning servers. I've found a couple useful documents - Ipsysctl tutorial 1.0.4 and Linux Tuning - but those documents are a bit over my head (and just entering the the configuration described in Linux Tuning doesn't fix my issue. Here are the configuration changes I've tried (webproxy is the user that runs Nginx and JBoss): /etc/security/limits.conf webproxy soft nofile 65536 webproxy hard nofile 65536 webproxy soft nproc 65536 webproxy hard nproc 65536 root soft nofile 65536 root hard nofile 65536 root soft nproc 65536 root hard nofile 65536 First attempt /etc/sysctl.conf sysctl net.core.somaxconn = 8192 sysctl net.ipv4.ip_local_port_range = 32768 65535 sysctl net.ipv4.tcp_fin_timeout = 15 sysctl net.ipv4.tcp_keepalive_time = 1800 sysctl net.ipv4.tcp_keepalive_intvl = 35 sysctl net.ipv4.tcp_tw_recycle = 1 sysctl net.ipv4.tcp_tw_reuse = 1 Second attempt /etc/sysctl.conf net.core.rmem_max = 16777216 net.core.wmem_max = 16777216 net.ipv4.tcp_rmem = 4096 87380 16777216 net.ipv4.tcp_wmem = 4096 65536 16777216 net.core.netdev_max_backlog = 30000 net.ipv4.tcp_congestion_control=htcp net.ipv4.tcp_mtu_probing=1 Any ideas what might be happening here? Or better yet, are there some good documentation resources designed for beginners?

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  • How to select a server that supports Windows scheduled file IO

    - by Kristof Verbiest
    Background: I am developing an application that needs to read data from disk with a fairly consistent throughput. It is important that this throughput is not influenced by other actions that happen on the disk (e.g. by other processes). For this purpose, I was hoping to use the 'Scheduled File I/O' feature in Windows (throught the GetFileBandwithReservation and SetFileBandwithReservation functions). However, this StackOverflow question has thought me that this feature is only available if the device driver supports it. Currently I have no computer at my disposition that seems to support this feature (I have an HP Proliant server and a Dell Precision workstation). Question: If I were to order a new server, how can I know beforehand if this feature will be supported by the device driver? How 'upscale' does the server have to be? Has anybody used this feature with success and cares to share his experiences?

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  • A Hot Topic - Profitability and Cost Management

    - by john.orourke(at)oracle.com
    Maybe it's due to the recent recession, or current economic recovery but a hot topic and area of focus for many organizations these days is profitability and cost management.  For most organizations, aggressive cost-cutting and cost management were critical to remaining profitable while top line revenue was flat or shrinking.  However, now we are seeing many organizations taking a more "surgical" approach to profitability and cost management, by accurately allocating revenue and costs to individual product lines, services, customer segments, locations, channels and other lines of business to understand which ones are truly profitable and which ones are not.  Based on these insights, managers can make more informed decisions about which products or services to invest in or retire, how to price their products or services for different customer segments, and where to focus their marketing and customer service resources. The most common industries where this product, service and customer-focused costing and profitability analysis is being adopted include financial services, consumer packaged goods, retail and manufacturing.  However we are seeing adoption of profitability and cost management applications in other industries and use cases.  Here are a few examples: Telecommunications Industry:  Network Costing and Management to identify the most cost effective and/or profitable network areas, to optimize existing resources, infrastructure and network capacity.  Regulatory Cost Accounting to perform more accurate allocations of revenue and costs across services and customer segments, improve ability to set billing rates for future periods, for various products and customer segments and more easily develop analysis needed for rate case proposals. Healthcare Insurance:  Visually, justifiable Medical Loss Ratio results, better knowledge of the cost to service healthcare plans and members, accurate understanding of member segment and plan profitability, improved marketing programs through better member segmentation. Public Sector:  Statutory / Regulatory Compliance:  A variety of statutory and regulatory documents state explicitly or implicitly that the use of government resources must be properly tracked and tied to performance goals.  Managerial costing methods implemented through Cost Management applications provide unparalleled visibility into costs and shared services usage throughout a Public Sector agency. Funding Support:  Regulations require public sector funding requests to be evaluated based upon the ability to achieve performance goals against the associated cost.   Improved visibility and understanding of costs of different programs/services means that organizations can demonstrably monitor performance and the associated resource costs improve the chances of having their funding requests granted. Profitability and Cost Management is one of the fastest-growing solution areas in Oracle's Enterprise Performance Management product line and we are seeing a growing number of customer successes across geographies and industries.  Listed below are just a few examples.  Here's a link to the replay from a recent webcast on this topic which featured Schroders Plc, a UK-based Financial Services company: http://www.oracle.com/go/?&Src=7011668&Act=168&pcode=WWMK10037859MPP043 Here's a link to a case study on Shenhua Guohua Power in China: http://www.oracle.com/us/corporate/customers/shenhua-snapshot-159574.pdf Here's a link to information on Oracle's web site about our profitability and cost management solutions: http://www.oracle.com/us/solutions/ent-performance-bi/performance-management/profitability-cost-mgmt/index.html

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  • Best tool for monitoring backups, etc. and trending statstics from that data

    - by Randy Syring
    I have done some research on nagios, opennms, and zenoss but am not confident that I have found what I am looking for. The main driving force for me right now is being able to monitor backups. This includes mysql, mssql, and eventually some file system backups. We have a tool that wraps the backup process for these different systems and collects statistics. So, items like: number of databases backed up size of db backup file size of db backup file compressed time to make backup time to zip file I want to be able to A) have notifications if the jobs are not run according to schedule B) be able to set thresholds on the statistics which would trigger notifications C) I want to be able to trend and graph the statistics I am planning on sending this information to the monitoring application through an HTTP POST. Or, the monitoring application could pull it from a log file as well. However, we will have other processes with other "arbitrary" (from the monitoring system's perspective) statics that will want to monitor and trend, so flexibility is very important. The tool or tools should also be able to do general monitoring and trending of network interfaces, server load, etc. Once we get the backup monitoring in place, we will want to include those items as well. Thanks.

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  • Oracle Database I/O Performance Tuning Using Benchmark Factory

    The real test of how heavily an Oracle database will tax its underlying I/O subsystem and related infrastructure is to actually tax that infrastructure using representative database application workloads. Jim Czuprynski tells you how to choose appropriate database schema(s) for realistic testing, how to create example TPC-E and TPC-H database schemas and how to perform initial loading of these schemas using Quest Benchmark Factory.

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  • Remote Diagnostic Agent (RDA) version 4.30

    - by inowodwo
    posted by Maurice Bauhahn Remote Diagnostic Agent (RDA) version 4.30 was released on December 11th A free download can be accessed via Knowledge Management article 314422.1 and installed in any Enterprise Performance Management 11.1.2.x environment. EPM-specific instructions are available in Knowledge Management article 1304885.1. This RDA version incorporates two new modules (EAS=Essbase Administration Services; HWA=Hyperion Web Analysis) and improvements in modules and profiles relating to twelve other Hyperion applications (EPM, EPMA, ESS, FCM, HFM, HFR, HIR, HPL, HPSV, HSS, PR, and HSV). To follow best practice, run related RDA profiles [for example: "perl rda.pl -vnSCRPp Hyperion1112_EAS"] and attach the output zip file [by default in \rda\output\] to your service requests. The comprehensive set of details provided in such output files should help technicians to avoid delays in handling service requests (by avoiding ping-pong communications resulting from repeated requests for additional values).

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  • Ubuntu 14.04: Fine tuning Touchpad for ThinkPad S431

    - by ramgorur
    I am using Ubuntu 14.04 on Lenovo ThinkPad S431. The touchpad is very bumpy, tricky to use. Slides down with a small touch, sometimes jerks erratically. I have tried to modify the settings in /usr/share/X11/xorg.conf.d/50-synaptics.conf file as below -- Section "InputClass" Identifier "touchpad catchall" Driver "synaptics" MatchIsTouchpad "on" MatchDevicePath "/dev/input/event*" Option "JumpyCursorThreshold" "250" Option "VertResolution" "100" # Option "HorizResolution" "65" # Option "MinSpeed" "1" # Option "MaxSpeed" "1" # Option "AccelerationProfile" "1" # Option "AdaptiveDeceleration" "8" # Option "ConstantDeceleration" "1" # Option "VelocityScale" "128" Option "HorizHysteresis" "150" Option "VertHysteresis" "150" EndSection There are lots of options here, does anyone know how to get a fine-tuned values for the above options (for ThinkPad S431)? The Hysteresis values seems to alleviate the problem a little bit, but failed to get a perfect result. EDIT: According to this bug report for ThinkPad X230 (+X230t), I set these values and quite good for now -- Option "VertResolution" "100" Option "HorizResolution" "65" Option "MinSpeed" "1" Option "MaxSpeed" "1" Option "AccelerationProfile" "2" Option "AdaptiveDeceleration" "16" Option "ConstantDeceleration" "16" Option "VelocityScale" "32" Option "HorizHysteresis" "50" Option "VertHysteresis" "50" and then you need to increase the cursor speed manually from the Unity mouse settings. But I am still looking for a fully functional (possibly with all the gestures) and a fine-tuned touchpad settings for S431. Further help is appreciated.

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  • Tuning WebServer Response -

    - by Vedran Wex Maricevic
    I have this sam e question on StackOverflow and I was advised to ask it here hoping for more information. Here is the question: I am in rather unfavorable situation. I have aspdotneststore front e-commerce application and search addon called VibeTrib. I dont have source code for both of those. Store that runs on StoreFront and VibeTrib has close to 250k products. Also we have lots of filters. I spoke to ViTrib reps, and they want extra money so they could optimize Queries that they use. Money they require is nto a big deal, but the problem is I dont trust them anymore. What we got is much different then wha is being advertised. To cut the long story short. I am runing the store on Amazon AWS now, and regardless of what DB (MsSQL 2012) server I set (I tried 32GB RAM monsters instances) it is slow. Ajax search uses Full Text search and it displays search keywords relatively fast, but once the search is performed ( to display all results) it is still slow.!!! There is something that I could to do accelerate the speed on my own end? I do have full control over EC2 Instance (Web server Server 2012 and IIS 8). Can I set IIS to step in for the search and cache some of it? I was hoping to cache at least some most common words. My best bet is IIS 8 :) Is there any help in my case? Thanks

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  • Tuning Linux + HAProxy

    - by react
    I'm currently rolling out HAProxy on Centos 6 which will send requests to some Apache HTTPD servers and I'm having issues with performance. I've spent the last couple of days googling and still can't seem to get past 10k/sec connections consistently when benchmarking (sometimes I do get 30k/sec though). I've pinned the IRQ's of the TX/RX queues for both the internal and external NICS to separate CPU cores and made sure HAProxy is pinned to it's own core. I've also made the following adjustments to sysctl.conf: # Max open file descriptors fs.file-max = 331287 # TCP Tuning net.ipv4.tcp_tw_reuse = 1 net.ipv4.ip_local_port_range = 1024 65023 net.ipv4.tcp_max_syn_backlog = 10240 net.ipv4.tcp_max_tw_buckets = 400000 net.ipv4.tcp_max_orphans = 60000 net.ipv4.tcp_synack_retries = 3 net.core.somaxconn = 40000 net.ipv4.tcp_rmem = 4096 8192 16384 net.ipv4.tcp_wmem = 4096 8192 16384 net.ipv4.tcp_mem = 65536 98304 131072 net.core.netdev_max_backlog = 40000 net.ipv4.tcp_tw_reuse = 1 If I use AB to hit the a webserver directly I easily get 30k/s connections. If I stop the webservers and use AB to hit HAProxy then I get 30k/s connections but obviously it's useless. I've also disabled iptables for now since I read that nf_conntrack can slow everything down, no change. I've also disabled the irqbalance service. The fact that I can hit each individual device with 30k/s makes me believe the tuning of the servers is OK and that it must be some HAProxy config? Here's the config which I've built from reading tuning articles, etc http://pastebin.com/zsCyAtgU The server is a dual Xeon CPU E5-2620 (6 cores) with 32GB of RAM. Running Centos 6.2 x64. The private and public interfaces are on separate NICS. Anyone have any ideas? Thanks.

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  • Understanding MySQL Query Caches and when to implement it?

    - by Jeff
    On our current MySQL server query cache is enabled. Qchache_hits: 31913 Qchache_inserts: 50959 Qchache_lowmem_prunes: 9320 Qchache_not_chached: 209320 Qchache_queries_in_chace: 986 com_update: 0 com_delete: 0 I do not fully understand the Query cache - I am reading about it currently and trying to understand it. Our database holds inventory data, customer data, employee data, sales data and so forth. The query is very rarely run more than once. The possibility of a query being run twice is viewing a specific sales information twice. But basically everything in our system changes constantly. It is always being updated, deleted, insterted and off the top of my head I can't picture users running the same query twice within a week. Do I even need to have the query cache enabled? I am guessing that the inserts means 51k entries have been added, but only 986 of those are being stored? Would an idea be to refresh the cache, and watch it for a week and check how many of the queries in cached are accessed maybe on a weekly basis to see if it is actually returning any benefits? Any help/guidance on this is appreciated, thanks

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  • Performance implications of Synchronous Sockets vs Asynchronous Sockets

    - by Akash Kava
    We are trying to build an SMTP Server to receive mail notifications from various clients over internet. As each of the communication will be longer and it needs to log everything, doing this Asynchronous way is little challenging as well as by using Socket's Asynchronous methods we are not sure of how flow of control and error handling happens. Previously we wrote lot of server/client apps but we always used Synchronous sockets, reason being they are longer sessions and each session also has lot of local data to manage and parsing messages etc. Does anyone have any experience over real performance differences between these two methods? Async calls use ThreadPool which we have experienced many times to just die for no reason. And we fail to restart threadpool etc. In one way Request-Response protocol of HTTP, Async Sockets makes sense, but SMTP/IMAP etc protocols are longer and they have interleaved messages plus state machine of server. So Async methods are really complicated to program. However if anyone can share the performance of Sockets, it will be helpful.

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  • SQL Server 2005 high memory usage and performance problems

    - by emzero
    Hi there guys. I have this ASP.NET/SQLServer2005 website running on a production server (Win2003, QuadCore, 4GB). The site runs smoothly normally, but after 2-3 weeks I notice a slow performance on the site (especifically in one particular page). Also I notice that the SQL Server process is using like 2GBs of RAM. So I restart the service, the site runs fast again and the process 300-400MBs. I'm looking for an explanation of why is this happening? What is SQL Server storing in RAM that takes too much space and degrades the performance? What can I do to avoid this? I'm trying to avoid restarting the SQLServer everytime this happens. Thank you!

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  • WCF performance improvements

    - by Burt
    I am developing a WPF application that talks to a server via WCF services over the internet. After profiling the application I noticed a lot of time is being taking up by creating the appropriate WCF client proxy and making the call to the server. The code on the server is optimised and doesn't take any time to run yet I am still seeing a 1.5 second delay from when a service is invloked to it returning to the client. A few points to give a bit of background: I am using the ASP.Net membership for security I will eventually hook into the same server side code through a website I would eventually like to have offline support in the application I really need to nail the performance early though as if the app is taking a couple of seconds to come back it is too long for what I am trying to do. Can anyone suggest performance tips that will help me please?

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  • How to maximize http.sys file upload performance

    - by anelson
    I'm building a tool that transfers very large streaming data sets (possibly on the order of terabytes in a single stream; routinely in the tens of gigabytes) from one server to another. The client portion of the tool will read blocks from the source disk, and send them over the network. The server side will read these blocks off the network and write them to a file on the server disk. Right now I'm trying to decide which transport to use. Options are raw TCP, and HTTP. I really, REALLY want to be able to use HTTP. The HttpListener (or WCF if I want to go that route) make it easy to plug in to the HTTP Server API (http.sys), and I can get things like authentication and SSL for free. The problem right now is performance. I wrote a simple test harness that sends 128K blocks of NULL bytes using the BeginWrite/EndWrite async I/O idiom, with async BeginRead/EndRead on the server side. I've modified this test harness so I can do this with either HTTP PUT operations via HttpWebRequest/HttpListener, or plain old socket writes using TcpClient/TcpListener. To rule out issues with network cards or network pathways, both the client and server are on one machine and communicate over localhost. On my 12-core Windows 2008 R2 test server, the TCP version of this test harness can push bytes at 450MB/s, with minimal CPU usage. On the same box, the HTTP version of the test harness runs between 130MB/s and 200MB/s depending upon how I tweak it. In both cases CPU usage is low, and the vast majority of what CPU usage there is is kernel time, so I'm pretty sure my usage of C# and the .NET runtime is not the bottleneck. The box has two 6-core Xeon X5650 processors, 24GB of single-ranked DDR3 RAM, and is used exclusively by me for my own performance testing. I already know about HTTP client tweaks like ServicePointManager.MaxServicePointIdleTime, ServicePointManager.DefaultConnectionLimit, ServicePointManager.Expect100Continue, and HttpWebRequest.AllowWriteStreamBuffering. Does anyone have any ideas for how I can get HTTP.sys performance beyond 200MB/s? Has anyone seen it perform this well on any environment?

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  • Why does PostgresQL query performance drop over time, but restored when rebuilding index

    - by Jim Rush
    According to this page in the manual, indexes don't need to be maintained. However, we are running with a PostgresQL table that has a continuous rate of updates, deletes and inserts that over time (a few days) sees a significant query degradation. If we delete and recreate the index, query performance is restored. We are using out of the box settings. The table in our test is currently starting out empty and grows to half a million rows. It has a fairly large row (lots of text fields). We are search is based of an index, not the primary key (I've confirmed the index is being used, at least under normal conditions) The table is being used as a persistent store for a single process. Using PostgresQL on Windows with a Java client I'm willing to give up insert and update performance to keep up the query performance. We are considering rearchitecting the application so that data is spread across various dynamic tables in a manner that allows us to drop and rebuild indexes periodically without impacting the application. However, as always, there is a time crunch to get this to work and I suspect we are missing something basic in our configuration or usage. We have considered forcing vacuuming and rebuild to run at certain times, but I suspect the locking period for such an action would cause our query to block. This may be an option, but there are some real-time (windows of 3-5 seconds) implications that require other changes in our code. Additional information: Table and index CREATE TABLE icl_contacts ( id bigint NOT NULL, campaignfqname character varying(255) NOT NULL, currentstate character(16) NOT NULL, xmlscheduledtime character(23) NOT NULL, ... 25 or so other fields. Most of them fixed or varying character fiel ... CONSTRAINT icl_contacts_pkey PRIMARY KEY (id) ) WITH (OIDS=FALSE); ALTER TABLE icl_contacts OWNER TO postgres; CREATE INDEX icl_contacts_idx ON icl_contacts USING btree (xmlscheduledtime, currentstate, campaignfqname); Analyze: Limit (cost=0.00..3792.10 rows=750 width=32) (actual time=48.922..59.601 rows=750 loops=1) - Index Scan using icl_contacts_idx on icl_contacts (cost=0.00..934580.47 rows=184841 width=32) (actual time=48.909..55.961 rows=750 loops=1) Index Cond: ((xmlscheduledtime < '2010-05-20T13:00:00.000'::bpchar) AND (currentstate = 'SCHEDULED'::bpchar) AND ((campaignfqname)::text = '.main.ee45692a-6113-43cb-9257-7b6bf65f0c3e'::text)) And, yes, I am aware there there are a variety of things we could do to normalize and improve the design of this table. Some of these options may be available to us. My focus in this question is about understanding how PostgresQL is managing the index and query over time (understand why, not just fix). If it were to be done over or significantly refactored, there would be a lot of changes.

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  • MySQL index cardinality - performance vs storage efficiency

    - by Sean
    Say you have a MySQL 5.0 MyISAM table with 100 million rows, with one index (other than primary key) on two integer columns. From my admittedly poor understanding of B-tree structure, I believe that a lower cardinality means the storage efficiency of the index is better, because there are less parent nodes. Whereas a higher cardinality means less efficient storage, but faster read performance, because it has to navigate through less branches to get to whatever data it is looking for to narrow down the rows for the query. (Note - by "low" vs "high", I don't mean e.g. 1 million vs 99 million for a 100 million row table. I mean more like 90 million vs 95 million) Is my understanding correct? Related question - How does cardinality affect write performance?

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  • Wpf: Tips for better performance

    - by viky
    I am working on a wpf application. In which I am working with a TreeView, each node represents different datatypes, these datatypes are having properties defined and using data template to show their properties. My application reads from xml and create tree accordingly. My problem is that when I load it, it is too slow, I want to know about the tricks that will help me to improve performance of my(any) wpf application. Edit: Please provide me some tips for better performance in wpf!! I am using wpf Profiler but it is not much helpful for me.

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  • Performance Improvement: Alternative for array_flip function.

    - by Rachel
    Is there any way I can avoid using array_flip to optimize performance. I am doing a select statement from database, preparing the query and executing it and storing data as an associative array in $resultCollection and than I have array op and for each element in $resultCollection am storing its outputId in op[] as evident from the code. I have explained code and so my question is how can I achieve an similar alternative for array_flip with using array_flip as I want to improve performance. $resultCollection = $statement->fetchAll(PDO::FETCH_ASSOC); $op = array(); //Looping through result collection and storing unicaOfferId into op array. foreach ($resultCollection as $output) { $op[] = $output['outputId']; } //Here op array has key as 0, 1, 2...and value as id {which I am interested in} //Flip op array to get unica offer ids as key $op = array_flip($op); //Doing a flip to get id as key. foreach ($ft as $Id => $Off) { $ft[$Id]['is_set'] = isset($op[$Id]); }

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  • Performance logging tips

    - by Germstorm
    I am developing large data collecting ASP.Net/Windows service application-pair that uses Microsoft SQL Server 2005 through LINQ2Sql. Performance is always the issue. Currently the application is divided into multiple larger processing parts, each logging the duration of their work. This is not detailed and does not help us with anything. It would be nice to have some database tables that contain statistics that the application itself collected from its own behavior. What logging tips and data structures do you recommend to spot the parts that cause performance problems?

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  • Declarative JDOQL vs Single-String JDOQL : performance

    - by DrDro
    When querying with JDOQL is there a performance difference between using the declarative version and the Single-String version: Example from the JDOQL doc: //Declarative JDOQL : Query q = pm.newQuery(org.jpox.Person.class, "lastName == \"Jones\" && age < age_limit"); q.declareParameters("double age_limit"); List results = (List)q.execute(20.0); //Single-String JDOQL : Query q = pm.newQuery("SELECT FROM org.jpox.Person WHERE lastName == \"Jones\"" + " && age < :age_limit PARAMETERS double age_limit"); List results = (List)q.execute(20.0); Other then performance, are there any reasons for which one is better to use then the other or is it just about the one with which we feel more comfortable.

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  • Can GPU capabilities impact virtual machine performance?

    - by Dave White
    While this many not seem like a programming question directly, it impacts my development activities and so it seems like it belongs here. It seems that more and more developers are turning to virtual environments for development activities on their computers, SharePoint development being a prime example. Also, as a trainer, I have virtual training environments for all of the classes that I teach. I recently purchased a new Dell E6510 to travel around with. It has the i7 620M (Dual core, HyperThreaded cpu running at 2.66GHz) and 8 GB of memory. Reading the spec sheet, it sounded like it would be a great laptop to carry around and run virtual machines on. Getting the laptop though, I've been pretty disappointed with the user experience of developing in a virtual machine. Giving the Virtual Machine 4 GB of memory, it was slow and I could type complete sentences and watch the VM "catchup". My company has training laptops that we provide for our classes. They are Dell Precision M6400 Intel Core 2 Duo P8700 running at 2.54Ghz with 8 GB of memory and the experience on this laptops is night and day compared to the E6510. They are crisp and you barely aware that you are running in a virtual environment. Since the E6510 should be faster in all categories than the M6400, I couldn't understand why the new laptop was slower, so I did a component by component comparison and the only place where the E6510 is less performant than the M6400 is the graphics department. The M6400 is running a nVidia FX 2700m GPU and the E6510 is running a nVidia 3100M GPU. Looking at benchmarks of the two GPUs suggest that the FX 2700M is twice as fast as the 3100M. http://www.notebookcheck.net/Mobile-Graphics-Cards-Benchmark-List.844.0.html 3100M = 111th (E6510) FX 2700m = 47th (Precision M6400) Radeon HD 5870 = 8th (Alienware) The host OS is Windows 7 64bit as is the guest OS, running in Virtual Box 3.1.8 with Guest Additions installed on the guest. The IDE being used in the virtual environment is VS 2010 Premium. So after that long setup, my question is: Is the GPU significantly impacting the virtual machine's performance or are there other factors that I'm not looking at that I can use to boost the vm's performance? Do we now have to consider GPU performance when purchasing laptops where we expect to use virtualized development environments? Thanks in advance. Cheers, Dave

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