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• InfiniBand Enabled Diskless PXE Boot

  - by Neeraj Gupta

  When you want to bring up a compute server in your environment and need InfiniBand connectivity, usually you go through various installation steps. This could involve operating systems like Linux, followed by a compatible InfiniBand software distribution, associated dependencies and configurations. What if you just want to run some InfiniBand diagnostics or troubleshooting tools from a test machine ? What if something happened to your primary machine and while recovering in rescue mode, you also need access to your InfiniBand network ? Often times we use opensource community supported small Linux distributions but they don't come with required InfiniBand support and tools. In this weblog, I am going to provide instructions on how to add InfniBand support to a specific Linux image - Parted Magic.This is a free to use opensource Linux distro often used to recover or rescue machines. The distribution itself will not be changed at all. Yes, you heard it right ! I have built an InfiniBand Add-on package that will be passed to the default kernel and initrd to get this all working. Pr-requisites You will need to have have a PXE server ready on your ethernet based network. The compute server you are trying to PXE boot should have a compatible IB HCA and must be connected to an active IB network. Required Downloads Download the Parted Magic small distribution for PXE from Parted Magic website. Download InfiniBand PXE Add On package. Right Click and Download from here. Do not extract contents of this file. You need to use it as is. Prepare PXE Server Extract the contents of downloaded pmagic distribution into a temporary directory. Inside the directory structure, you will see pmagic directory containing two files - bzImage and initrd.img. Copy this directory in your TFTP server's root directory. This is usually /tftpboot unless you have a different setup. For Example: cp pmagic_pxe_2012_2_27_x86_64.zip /tmp cd /tmp unzip pmagic_pxe_2012_2_27_x86_64.zip cd pmagic_pxe_2012_2_27_x86_64 # ls -l total 12 drwxr-xr-x  3 root root 4096 Feb 27 15:48 boot drwxr-xr-x  2 root root 4096 Mar 17 22:19 pmagic cp -r pmagic /tftpboot As I mentioned earlier, we dont change anything to the default pmagic distro. Simply provide the add-on package via PXE append options. If you are using a menu based PXE server, then add an entry to your menu. For example /tftpboot/pxelinux.cfg/default can be appended with following section. LABEL Diskless Boot With InfiniBand Support MENU LABEL Diskless Boot With InfiniBand Support KERNEL pmagic/bzImage APPEND initrd=pmagic/initrd.img,pmagic/ib-pxe-addon.cgz edd=off load_ramdisk=1 prompt_ramdisk=0 rw vga=normal loglevel=9 max_loop=256 TEXT HELP * A Linux Image which can be used to PXE Boot w/ IB tools ENDTEXT Note: Keep the line starting with "APPEND" as a single line. If you use host specific files in pxelinux.cfg, then you can use that specific file to add the above mentioned entry. Boot Computer over PXE Now boot your desired compute machine over PXE. This does not have to be over InfiniBand. Just use your standard ethernet interface and network. If using menus, then pick the new entry that you created in previous section. Enable IPoIB After a few minutes, you will be booted into Parted Magic environment. Open a terminal session and see if InfiniBand is enabled. You can use commands like: ifconfig -a ibstat ibv_devices ibv_devinfo If you are connected to InfiniBand network with an active Subnet Manager, then your IB interfaces must have come online by now. You can proceed and assign IP address to them. This will enable you at IPoIB layer. Example InfiniBand Diagnostic Tools I have added several InfiniBand Diagnistic tools in this add-on. You can use from following list: ibstat, ibstatus, ibv_devinfo, ibv_devices perfquery, smpquery ibnetdiscover, iblinkinfo.pl ibhosts, ibswitches, ibnodes Wrap Up This concludes this weblog. Here we saw how to bring up a computer with IPoIB and InfiniBand diagnostic tools without installing anything on it. Its almost like running diskless !

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• So You Want to Be a Social Media Director

  - by Mike Stiles

  Do you want to be a Social Media Director? Some say the title is already losing its relevance; that social should be a basic skill that is required and used no matter what your position is inside the enterprise. I suppose that’s visionary, and a fun thing for thought leaders to say. But in the vast majority of business organizations, we’re so far away from that reality that the thought of not having someone driving social’s implementation and guiding its proper usage conjures up images of anarchy. That said, social media has become so broad, so catch-all, and so extended across business functions, that today’s Social Media Director, depending on the size of their staff, must make jacks-of-all-trades look like one-trick-ponies. Just as the purview of the CMO has grown all-encompassing, the disciplines required of their heads of social are stacking up. Master of Content Every social pipeline you build must stay filled, with quantity and quality. Content takes time, and the job never stops. Never. And no, it’s not true that anybody can write. Master of Customer Experience You must have a passion for hearing from customers and making them really happy. Master of PR You must know how to communicate and leverage the trust you’ve built when crises strike. Couldn’t hurt to be a Master of Politics. Master of Social Technology So many social management tools on the market. You have to know what social tech ecosystem makes sense and avoid piecemeal point solutions. Master of Business Development Social for selling and prospecting is hot, and you have to know how to use social to do it. Master of Analytics Nothing else matters if you can’t prove social is helping the brand. That’s right, creative content guy has to also be a math and stats geek. Good luck with that. Master of Paid Media You’ve got to learn the language, learn the tactics, learn the vendors and learn how to measure results. Master of Education Guess who gets to teach everyone who has no clue how to use social for business. Master of Personal Likability You’ll be leading the voice, tone, image and personality of the brand. If you don’t instinctively know how to be liked by actual people, the brand will be starting from a deficit. How deep must you go in this parade of masteries? Again, that depends on your employer’s maturity level in social. Serious players recognize these as distinct disciplines requiring true experts for maximum effect. Less serious players will need you to execute personally in many of these areas. Do the best you can, and try to grow quickly at each. If you’re the sole person executing all social…well…you’re in the game of managing expectations and trying to socially educate your employer. The good news is, you should be making a certifiable killing. If you’re alone and your salary is modest, time to understand how many brands out there crave what you’ve mastered. Not to push back against thought leaders, but the need for brand social leadership has not gone away…not even a little bit. @mikestiles @oraclesocialPhoto: Stefan Wagner, freeimages.com

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• How to Waste Your Marketing Budget

  - by Mike Stiles

  Philosophers have long said if you find out where a man’s money is, you’ll know where his heart is. Find out where money in a marketing budget is allocated, and you’ll know how adaptive and ready that company is for the near future. Marketing spends are an investment. Not unlike buying stock, the money is placed in areas the marketer feels will yield the highest return. Good stock pickers know the lay of the land, the sectors, the companies, and trends. Likewise, good marketers should know the media available to them, their audience, what they like & want, what they want their marketing to achieve…and trends. So what are they doing? And how are they doing? A recent eTail report shows nearly half of retailers planned on focusing on SEO, SEM, and site research technologies in the coming months. On the surface, that’s smart. You want people to find you. And you’re willing to let the SEO tail wag the dog and dictate the quality (or lack thereof) of your content such as blogs to make that happen. So search is prioritized well ahead of social, multi-channel initiatives, email, even mobile - despite the undisputed explosive growth and adoption of it by the public. 13% of retailers plan to focus on online video in the next 3 months. 29% said they’d look at it in 6 months. Buying SEO trickery is easy. Attracting and holding an audience with wanted, relevant content…that’s the hard part. So marketers continue to kick the content can down the road. Pretty risky since content can draw and bind customers to you. Asked to look a year ahead, retailers started thinking about CRM systems, customer segmentation, and loyalty, (again well ahead of online video, social and site personalization). What these investors are missing is social is spreading across every function of the enterprise and will be a part of CRM, personalization, loyalty programs, etc. They’re using social for engagement but not for PR, customer service, and sales. Mistake. Allocations are being made seemingly blind to the trends. Even more peculiar are the results of an analysis Mary Meeker of Kleiner Perkins made. She looked at how much time people spend with media types and how marketers are investing in those media. 26% of media consumption is online, marketers spend 22% of their ad budgets there. 10% of media time is spent with mobile, but marketers are spending 1% of their ad budgets there. 7% of media time is spent with print, but (get this) marketers spend 25% of their ad budgets there. It’s like being on Superman’s Bizarro World. Mary adds that of the online spending, most goes to search while spends on content, even ad content, stayed flat. Stock pickers know to buy low and sell high. It means peering with info in hand into the likely future of a stock and making the investment in it before it peaks. Either marketers aren’t believing the data and trends they’re seeing, or they can’t convince higher-ups to acknowledge change and adjust their portfolios accordingly. Follow @mikestilesImage via stock.xchng

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• Sunshine after the iCloud release?

  - by Laila

  "Why should I believe them? They're the ones that brought us MobileMe? It was not our finest hour, but we learned a lot." Steve Jobs June 6th 2011 Apple's new cloud service has been met with uncritical excitement by industry commentators.  It is wonderful what a rename can do.  Apple has had a 'cloud' offering for three years called MobileMe, successor to .MAC and  iTools, so iCloud is now the fourth internet service Apple have attempted. If this had been Microsoft, there would have been catcalls all around the blogosphere.  I'll admit that there is a lot more functionality announced for iCloud than MobileMe has ever managed to achieve, but then almost anything has more functionality than MobileMe.  It's an expensive service (£120 a year in the UK, $90 in the states), launched as far back as  June 9, 2008, that has delivered very little and suffered a string of technical problems; the documentation was mainly  a community effort, built up gradually by the frustrated and angry users. It was supposed to synchronise PC Outlook calendars but couldn't manage Microsoft Exchange (Google could, of course). It used WebDAV to allow Windows users to attach to the filestore, but didn't document how to do it. The method for downloading and uploading files to the cloud-based filestore was ridiculously clunky. It allowed you to post photos on a public site, but forgot to include a way of deleting photos. I could go on with the list, but you can explore the many sites that have flourished to inhabit the support-vacuum left by Apple. MobileMe should have had all the bright new clever things announced for iCloud. Apple dropped the ball, and allowed services such as Flickr to fill the void. However, their PR skills are such that, a name-change later (the .ME.com email address remains), it has turned a rout into a victory, and hundreds of earnest bloggers have been extolling Apple's expertise in cloud matters. This must be frustrating for the other cloud providers who have quietly got the technology working right. I wish iCloud well, even though I resent the expensive mess they made of MobileMe. Apple promise that iCloud will sync files, apps, app data, and media across all the different iOS5 devices, Macs, and PCs. It also hopes to sync music across devices, but not video content. They've offered existing MobileMe users free use of the MobileMe service for a year as the product is morphed, and they will be able to transfer to iCloud when it is launched in the autumn.  On June 30, 2012, MobileMe will die, and Apple's iWeb is also soon to join iTools and .MAC in the hereafter. So why get excited about iCloud? That all depends on the level of PC integration. Whereas iOS5 machines will be full participants in the new world of data-sharing (Sorry iPod Touch users) what about .NET libraries? There is talk of synchronising 'My Pictures' libraries with iOS5 and iMac machines, but little more detail as yet. Apple has a lot to prove with iCloud and anyone with actual experience of their past attempts to get into cloud services will be wary.

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• Get Fanatical About Your Followers

  - by Mike Stiles

  In the fourth of our series of discussions with Aberdeen’s Trip Kucera, we touch on what fans of your brand have come to expect in exchange for their fandom. Spotlight: Around the Oracle Social office, we live for football. So when we think of a true “fan” of a brand, something on the level of a football fan is what comes to mind. But are brands trying to invest fans on that same level? Trip: Yeah, if you’re a football fan, this is definitely your time of year. And if you’ve been to any NFL games recently, especially if you hadn’t been for a few years previously, you may have noticed that from the cup holders to in-stadium Wi-Fi, there’s an increasing emphasis being placed on “fan-focused” accommodations. That’s what they’re known as in the stadium business. Spotlight: How are brands doing in that fan-focused arena? Trip: Remember fan is short for “fanatical.” Brands can definitely learn from the way teams have become fanatical about their fans, or in the social media world, their followers. Many companies consider a segment of their addressable social audience as true fans; I’ve even heard the term “super-fans” used. So just as fans know and can tell you nearly everything about their favorite team, our research shows that there’s a lot value from getting to know your social audience—your followers—at a deeper level. Spotlight: So did your research show there’s a lot to be gained by making fandom a two-way street? Trip: Aberdeen’s new social relationship management research suggests that companies should develop capabilities to better analyze their social audience at a more granular level. Countless “ripped from the headlines” examples, from “United Breaks Guitars” to the most recent British Airways social fiasco we talked about a few weeks ago show how social can magnify the impact of a single customer voice. Spotlight: So how do the companies who are executing social most successfully do that? Trip: Leaders, which are the top-performing companies in Aberdeen’s study, are showing the value of identifying and categorizing your social audience. You should certainly treat every customer as if they have 10,000 followers, because they just might, but you can also proactively engage with high-value customer and high-value influencers. Getting back to the football analogy, it’s like how teams strive to give every guest a great experience, but they really roll out the red carpet for those season ticket and luxury box holders. Spotlight: I’m not allowed in luxury boxes, so you’ll have to tell me what that’s like. But what is the brand equivalent of rolling out the red carpet? Trip: Leaders are nearly three times more likely than Followers to have a process in place that identifies key social influencers for engagement, and more than twice as likely to identify customer advocates for social outreach. This is the kind of knowledge that gives companies the ability to better target social messaging and promotions like we talked about in our last discussion, as well as a basis for understanding how to measure the impact of their social media programs. I’ll give you an example. I hosted an event at one of my favorite restaurants recently. I had mentioned them in a Tweet several weeks before the event, and on the day of the event, they Tweeted out that they were looking forward to seeing me that evening for the event. It’s a small thing, but it had a big impact and I’d certainly go back as a result. Spotlight: So what specifically can brands use and look at to determine where their potential super-fans are? Trip: Social graph analysis, which looks at both the demographic/psychographic trends as well as the behavioral connections, can surface important brand value. Aberdeen’s PR and Brand Management research indicated that top-performing companies are more than three times more likely than Followers to both determine demographic trends through social listening (44% vs. 13%), and to identify meaningful customer segments through social (44% vs. 12%). This kind of brand-level insight can complement and enrich traditional market research. But perhaps even more importantly, it can serve as an early warning system for customer experience failures. @mikestilesPhoto: freedigitalphotos.net

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• Finalists for Community Manager of the Year Announced

  - by Mike Stiles

  For as long as brand social has been around, there’s still an amazing disparity from company to company on the role of Community Manager. At some brands, they are the lead social innovators. At others, the task has been relegated to interns who are at the company temporarily. Some have total autonomy and trust. Others must get chain-of-command permission each time they engage. So what does a premiere “worth their weight in gold” Community Manager look like? More than anyone else in the building, they have the most intimate knowledge of who the customer is. They live on the front lines and are the first to detect problems and opportunities. They are sincere, raving fans of the brand themselves and are trusted advocates for the others. They’re fun to be around. They aren’t salespeople. Give me one Community Manager who’s been at the job 6 months over 5 focus groups any day. Because not unlike in speed dating, they must immediately learn how to make a positive, lasting impression on fans so they’ll want to return and keep the relationship going. They’re informers and entertainers, with a true belief in the value of the brand’s proposition. Internally, they live at the mercy of the resources allocated toward social. Many, whose managers don’t understand the time involved in properly curating a community, are tasked with 2 or 3 too many of them. 63% of CM’s will spend over 30 hours a week on one community. They come to intuitively know the value of the relationships they’re building, even if they can’t always be shown in a bar graph to the C-suite. Many must communicate how the customer feels to executives that simply don’t seem to want to hear it. Some can get the answers fans want quickly, others are frustrated in their ability to respond within an impressive timeframe. In short, in a corporate world coping with sweeping technological changes, amidst business school doublespeak, pie charts, decks, strat sessions and data points, the role of the Community Manager is the most…human. They are the true emotional connection to the real life customer. Which is why we sought to find a way to recognize and honor who they are, what they do, and how well they have defined the position as social grows and integrates into the larger organization. Meet our 3 finalists for Community Manager of the Year. Jeff Esposito with VistaprintJeff manages and heads up content strategy for all social networks and blogs. He also crafts company-wide policies surrounding the social space. Vistaprint won the NEDMA Gold Award for Twitter Strategy in 2010 and 2011, and a Bronze in 2011 for Social Media Strategy. Prior to Vistaprint, Jeff was Media Relations Manager with the Long Island Ducks. He graduated from Seton Hall University with a BA in English and a minor in Classical Studies. Stacey Acevero with Vocus In addition to social management, Stacey blogs at Vocus on influential marketing and social media, and blogs at PRWeb on public relations and SEO. She’s been named one of the #Nifty50 Women in Tech on Twitter 2 years in a row, as well as included in the 15 up-and-coming PR pros to watch in 2012. Carly Severn with the San Francisco BalletCarly drives engagement, widens the fanbase and generates digital content for America’s oldest professional ballet company. Managed properties include Facebook, Twitter, Tumblr, Pinterest, Instagram, YouTube and G+. Prior to joining the SF Ballet, Carly was Marketing & Press Coordinator at The Fitzwilliam Museum at Cambridge, where she graduated with a degree in English. We invite you to join us at the first annual Oracle Social Media Summit November 14 and 15 at the Wynn in Las Vegas where our finalists will be featured. Over 300 top brand marketers, agency executives, and social leaders & innovators will be exploring how social is transforming business. Space is limited and the information valuable, so get more info and get registered as soon as possible at the event site.

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• Spotlight on Oracle Social Relationship Management. Social Enable Your Enterprise with Oracle SRM.

  - by Pat Ma

  Facebook is now the most popular site on the Internet. People are tweeting more than they send email. Because there are so many people on social media, companies and brands want to be there too. They want to be able to listen to social chatter, engage with customers on social, create great-looking Facebook pages, and roll out social-collaborative work environments within their organization. This is where Oracle Social Relationship Management (SRM) comes in. Oracle SRM is a product that allows companies to manage their presence with prospects and customers on social channels. Let's talk about two popular use cases with Oracle SRM. Easy Publishing - Companies now have an average of 178 social media accounts - with every product or geography or employee group creating their own social media channel. For example, if you work at an international hotel chain with every single hotel creating their own Facebook page for their location, that chain can have well over 1,000 social media accounts. Managing these channels is a mess - with logging in and out of every account, making sure that all accounts are on brand, and preventing rogue posts from destroying the brand. This is where Oracle SRM comes in. With Oracle Social Relationship Management, you can log into one window and post messages to all 1,000+ social channels at once. You can set up approval flows and have each account generate their own content but that content must be approved before publishing. The benefits of this are easy social media publishing, brand consistency across all channels, and protection of your brand from inappropriate posts. Monitoring and Listening - People are writing and talking about your company right now on social media. 75% of social media users have written a negative post about a brand after a poor customer service experience. Think about all the negative posts you see in your Facebook news feed about delayed flights or being on hold for 45 minutes. There is so much social chatter going on around your brand that it's almost impossible to keep up or comprehend what's going on. That's where Oracle SRM comes in. With Social Relationship Management, a company can monitor and listen to what people are saying about them on social channels. They can drill down into individual posts or get a high level view of trends and mentions. The benefits of this are comprehending what's being said about your brand and its competitors, understanding customers and their intent, and responding to negative posts before they become a PR crisis. Oracle SRM is part of Oracle Cloud. The benefits of cloud deployment for customers are faster deployments, less maintenance, and lower cost of ownership versus on-premise deployments. Oracle SRM also fits into Oracle's vision to social enable your enterprise. With Oracle SRM, social media is not just a marketing channel. Social media is also mechanism for sales, customer support, recruiting, and employee collaboration. For more information about how Oracle SRM can social enable your enterprise, please visit oracle.com/social. For more information about Oracle Cloud, please visit cloud.oracle.com.

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• PHP-FPM High Memory Usage

  - by Ruel

  I have a wordpress blog, that uses WP-SuperCache, and normally I get 100 visitors per day. With nginx + php-fpm it's blazing fast, and I have no regrets. One thing i noticed, php-fpm takes a lot of memory: top - 09:20:43 up 5 days, 15:53, 1 user, load average: 0.00, 0.00, 0.00 Tasks: 26 total, 1 running, 25 sleeping, 0 stopped, 0 zombie Cpu(s): 0.0%us, 0.0%sy, 0.0%ni,100.0%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Mem: 1048576k total, 329956k used, 718620k free, 0k buffers Swap: 0k total, 0k used, 0k free, 0k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 10226 www-data 15 0 145m 52m 4584 S 0.0 5.1 0:07.55 php-fpm 10223 www-data 16 0 141m 48m 4692 S 0.0 4.8 0:08.70 php-fpm 20277 www-data 15 0 138m 46m 4368 S 0.0 4.5 0:07.55 php-fpm 20259 www-data 15 0 133m 41m 4600 S 0.0 4.0 0:06.68 php-fpm 12201 www-data 15 0 133m 41m 4632 S 0.0 4.0 0:08.31 php-fpm 11586 www-data 15 0 132m 40m 4292 S 0.0 3.9 0:03.27 php-fpm 29822 www-data 15 0 128m 36m 4356 S 0.0 3.6 0:05.26 php-fpm 28427 mysql 15 0 200m 7300 4764 S 0.0 0.7 0:47.89 mysqld 10202 root 18 0 98.3m 4320 1204 S 0.0 0.4 0:03.80 php-fpm 22524 root 18 0 86064 3396 2652 S 0.0 0.3 0:16.74 sshd 9882 www-data 18 0 42052 2572 804 S 0.0 0.2 0:27.52 nginx 9884 www-data 18 0 42052 2560 804 S 0.0 0.2 0:26.26 nginx 9881 www-data 18 0 42064 2524 804 S 0.0 0.2 0:29.24 nginx 9879 www-data 18 0 42032 2480 804 S 0.0 0.2 0:29.58 nginx 23771 root 15 0 12176 1820 1316 S 0.0 0.2 0:00.08 bash 28344 root 22 0 11932 1416 1184 S 0.0 0.1 0:00.00 mysqld_safe 18167 root 16 0 62628 1208 648 S 0.0 0.1 0:00.55 sshd 25941 root 15 0 12612 1192 928 R 0.0 0.1 0:02.21 top 11573 root 15 0 20876 1168 592 S 0.0 0.1 0:00.67 crond 9878 root 18 0 41000 1112 284 S 0.0 0.1 0:00.00 nginx 21736 root 23 0 21648 936 716 S 0.0 0.1 0:00.00 xinetd 11585 root 18 0 46748 816 428 S 0.0 0.1 0:00.00 saslauthd 14125 root 12 -4 12768 768 452 S 0.0 0.1 0:00.00 udevd 1 root 18 0 10352 728 616 S 0.0 0.1 0:17.93 init 24564 root 15 0 5912 680 544 S 0.0 0.1 0:01.90 syslogd 11618 root 18 0 46748 548 160 S 0.0 0.1 0:00.00 saslauthd Here's my php-fpm config: [global] pid = run/php-fpm.pid error_log = log/php-fpm.log log_level = notice [www] listen = 127.0.0.1:9000 user = www-data group = www-data pm = dynamic pm.max_children = 50 pm.start_servers = 3 pm.min_spare_servers = 3 pm.max_spare_servers = 10 pm.max_requests = 500 Sometimes it goes up to 400MB. And I'm planning to add a new website on my VPS. Is this normal?

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• Apache taking up too much CPU

  - by andrewtweber

  I'm trying to manage a server on Amazon for a network of sites that receives about 100 million pageviews per month. Unfortunately, nobody out of my team of 5 developers has much server admin experience. Right now we have the MaxClients set to 1400. Currently our traffic is about average, and we have 1150 total Apache processes running, which use about 2% CPU each! Out of those 1150, 800 of them are currently sleeping, but still taking up CPU. I'm sure there are ways to optimize this. I have a few thoughts: It appears Apache is creating a new process for every single connection. Is this normal? Is there a way to more quickly kill the sleeping processes? Should we turn KeepAlive on? Each page loads about 15-20 medium-sized graphics and a lot of javascript/css. So, here's our Apache setup. We do plan on contracting a server admin asap, but I would really appreciate some advice until we can find someone. Timeout 25 KeepAlive Off MaxKeepAliveRequests 200 KeepAliveTimeout 5 <IfModule prefork.c> StartServers 100 MinSpareServers 20 MaxSpareServers 50 ServerLimit 1400 MaxClients 1400 MaxRequestsPerChild 5000 </IfModule> <IfModule worker.c> StartServers 4 MaxClients 400 MinSpareThreads 25 MaxSpareThreads 75 ThreadsPerChild 25 MaxRequestsPerChild 0 </IfModule> Full top output: top - 23:44:36 up 1 day, 6:43, 4 users, load average: 379.14, 379.17, 377.22 Tasks: 1153 total, 379 running, 774 sleeping, 0 stopped, 0 zombie Cpu(s): 71.9%us, 26.2%sy, 0.0%ni, 0.0%id, 0.0%wa, 0.0%hi, 1.9%si, 0.0%st Mem: 70343000k total, 23768448k used, 46574552k free, 527376k buffers Swap: 0k total, 0k used, 0k free, 10054596k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 1756 mysql 20 0 10.2g 1.8g 5256 S 19.8 2.7 904:41.13 mysqld 21515 apache 20 0 396m 18m 4512 R 2.1 0.0 0:34.42 httpd 21524 apache 20 0 396m 18m 4032 R 2.1 0.0 0:32.63 httpd 21544 apache 20 0 394m 16m 4084 R 2.1 0.0 0:36.38 httpd 21643 apache 20 0 396m 18m 4360 R 2.1 0.0 0:34.20 httpd 21817 apache 20 0 396m 17m 4064 R 2.1 0.0 0:38.22 httpd 22134 apache 20 0 395m 17m 4584 R 2.1 0.0 0:35.62 httpd 22211 apache 20 0 397m 18m 4104 R 2.1 0.0 0:29.91 httpd 22267 apache 20 0 396m 18m 4636 R 2.1 0.0 0:35.29 httpd 22334 apache 20 0 397m 18m 4096 R 2.1 0.0 0:34.86 httpd 22549 apache 20 0 395m 17m 4056 R 2.1 0.0 0:31.01 httpd 22612 apache 20 0 397m 19m 4152 R 2.1 0.0 0:34.34 httpd 22721 apache 20 0 396m 18m 4060 R 2.1 0.0 0:32.76 httpd 22932 apache 20 0 396m 17m 4020 R 2.1 0.0 0:37.34 httpd 22933 apache 20 0 396m 18m 4060 R 2.1 0.0 0:34.77 httpd 22949 apache 20 0 396m 18m 4060 R 2.1 0.0 0:34.61 httpd 22956 apache 20 0 402m 24m 4072 R 2.1 0.0 0:41.45 httpd

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• Server load spikes several times a day, load average for the past month is 5 times the load average all year

  - by AMF

  My Munin notifications set up for our (Debian) LAMP cluster have been notifying me continuously that our load on our production machine has been at dangerous levels. While the average load all year typically runs between 2 and 8, the load in the past month and only the past month -- has been skyrocketing to 10, 18, and occasionally even 50-60. The spikes last only 5-10 minutes at a time and occur about every 2-3 hours. The spikes do not effect performance only because I have a script that sends traffic off our server to a mirror CDN when the load goes above 10. I've looked for cron jobs that correlate with this timeframe but there is nothing I can see that would cause this. Site traffic is also normal (we receive about 200K visits per day). I'm also trying to think of anything I've changed around the time this problem began, and I really cannot think of anything. This is probably not much to go on. Maybe there is a clue in the top print-out (below) that I'm not seeing. How do I proceed to find the cause? -- Typical top when the load is NOT spiking: top - 11:13:09 up 472 days, 25 min, 1 user, load average: 6.08, 4.29, 3.80 Tasks: 105 total, 1 running, 104 sleeping, 0 stopped, 0 zombie Cpu(s): 41.2%us, 5.8%sy, 0.0%ni, 49.5%id, 2.7%wa, 0.1%hi, 0.7%si, 0.0%st Mem: 3369592k total, 2166980k used, 1202612k free, 559504k buffers Swap: 2650684k total, 1892k used, 2648792k free, 1129116k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 32046 apache 15 0 36300 12m 9828 S 20 0.4 0:01.97 apache2 32679 apache 15 0 36568 13m 10m S 19 0.4 0:01.69 apache2 31441 apache 15 0 36616 13m 10m S 19 0.4 0:04.13 apache2 31477 apache 15 0 36596 13m 9.8m S 15 0.4 0:01.99 apache2 31993 apache 15 0 36876 16m 12m S 12 0.5 0:02.01 apache2 31782 apache 15 0 36836 14m 10m S 8 0.4 0:02.17 apache2 32198 apache 15 0 36536 13m 10m S 7 0.4 0:01.59 apache2 880 apache 15 0 36508 9708 6236 S 7 0.3 0:00.42 apache2 31945 apache 17 0 36876 16m 13m S 5 0.5 0:03.17 apache2 32197 apache 16 0 36636 10m 7504 S 5 0.3 0:02.70 apache2 32326 apache 15 0 37024 11m 7632 S 5 0.3 0:02.15 apache2 32565 apache 15 0 37280 13m 9.8m S 5 0.4 0:03.75 apache2 32676 apache 15 0 36896 16m 12m S 4 0.5 0:00.95 apache2 32678 apache 15 0 36536 12m 9692 S 4 0.4 0:02.27 apache2 974 apache 16 0 37064 9888 6016 D 4 0.3 0:00.13 apache2 32150 apache 16 0 36832 13m 10m S 3 0.4 0:01.74 apache2 31780 apache 16 0 36848 11m 7660 S 3 0.3 0:02.87 apache2

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• Slow Memcached: Average 10ms memcached `get`

  - by Chris W.

  We're using Newrelic to measure our Python/Django application performance. Newrelic is reporting that across our system "Memcached" is taking an average of 12ms to respond to commands. Drilling down into the top dozen or so web views (by # of requests) I can see that some Memcache get take up to 30ms; I can't find a single use of Memcache get that returns in less than 10ms. More details on the system architecture: Currently we have four application servers each of which has a memcached member. All four memcached members participate in a memcache cluster. We're running on a cloud hosting provider and all traffic is running across the "internal" network (via "internal" IPs) When I ping from one application server to another the responses are in ~0.5ms Isn't 10ms a slow response time for Memcached? As far as I understand if you think "Memcache is too slow" then "you're doing it wrong". So am I doing it wrong? Here's the output of the memcache-top command: memcache-top v0.7 (default port: 11211, color: on, refresh: 3 seconds) INSTANCE USAGE HIT % CONN TIME EVICT/s GETS/s SETS/s READ/s WRITE/s cache1:11211 37.1% 62.7% 10 5.3ms 0.0 73 9 3958 84.6K cache2:11211 42.4% 60.8% 11 4.4ms 0.0 46 12 3848 62.2K cache3:11211 37.5% 66.5% 12 4.2ms 0.0 75 17 6056 170.4K AVERAGE: 39.0% 63.3% 11 4.6ms 0.0 64 13 4620 105.7K TOTAL: 0.1GB/ 0.4GB 33 13.9ms 0.0 193 38 13.5K 317.2K (ctrl-c to quit.) ** Here is the output of the top command on one machine: ** (Roughly the same on all cluster machines. As you can see there is very low CPU utilization, because these machines only run memcache.) top - 21:48:56 up 1 day, 4:56, 1 user, load average: 0.01, 0.06, 0.05 Tasks: 70 total, 1 running, 69 sleeping, 0 stopped, 0 zombie Cpu(s): 0.0%us, 0.0%sy, 0.0%ni, 99.7%id, 0.0%wa, 0.0%hi, 0.0%si, 0.3%st Mem: 501392k total, 424940k used, 76452k free, 66416k buffers Swap: 499996k total, 13064k used, 486932k free, 181168k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 6519 nobody 20 0 384m 74m 880 S 1.0 15.3 18:22.97 memcached 3 root 20 0 0 0 0 S 0.3 0.0 0:38.03 ksoftirqd/0 1 root 20 0 24332 1552 776 S 0.0 0.3 0:00.56 init 2 root 20 0 0 0 0 S 0.0 0.0 0:00.00 kthreadd 4 root 20 0 0 0 0 S 0.0 0.0 0:00.00 kworker/0:0 5 root 20 0 0 0 0 S 0.0 0.0 0:00.02 kworker/u:0 6 root RT 0 0 0 0 S 0.0 0.0 0:00.00 migration/0 7 root RT 0 0 0 0 S 0.0 0.0 0:00.62 watchdog/0 8 root 0 -20 0 0 0 S 0.0 0.0 0:00.00 cpuset 9 root 0 -20 0 0 0 S 0.0 0.0 0:00.00 khelper ...output truncated...

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• Excessive CPU Utilization for Bind 9.8.1 `named` processes

  - by justinzane

  I just noticed that named is eating vast amounts of CPU time for a very small network with only a few domains. Can someone help me determine what is misconfigured, please? Or how to debug this. top top - 14:13:08 up 25 days, 14:16, 1 user, load average: 1.04, 1.04, 1.05 Tasks: 149 total, 1 running, 148 sleeping, 0 stopped, 0 zombie %Cpu(s): 17.3 us, 4.3 sy, 0.0 ni, 78.2 id, 0.1 wa, 0.0 hi, 0.0 si, 0.0 st KiB Mem: 2042776 total, 1347916 used, 694860 free, 249396 buffers KiB Swap: 3976080 total, 30552 used, 3945528 free, 574164 cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 17445 bind 20 0 244m 42m 3124 S 99.4 2.2 2345:03 named rndc stats +++ Statistics Dump +++ (1352931389) ++ Incoming Requests ++ 65869 QUERY ++ Incoming Queries ++ 31809 A 241 NS 3 CNAME 27455 SOA 276 PTR 123 MX 462 TXT 5400 AAAA 7 A6 1 DS 14 DNSKEY 15 SPF 55 AXFR 8 ANY ++ Outgoing Queries ++ [View: internal] 22206 A 509 NS 10 SOA 25 PTR 12 MX 524 TXT 4851 AAAA 62 DNSKEY 19 SPF 3157 DLV [View: external] 87 A 2 NS 80 AAAA 120 DNSKEY 7 DLV [View: _bind] ++ Name Server Statistics ++ 65869 IPv4 requests received 27670 requests with EDNS(0) received 112 TCP requests received 65652 responses sent 20 truncated responses sent 27670 responses with EDNS(0) sent 62920 queries resulted in successful answer 37117 queries resulted in authoritative answer 28482 queries resulted in non authoritative answer 7 queries resulted in referral answer 591 queries resulted in nxrrset 53 queries resulted in SERVFAIL 2081 queries resulted in NXDOMAIN 14530 queries caused recursion 162 duplicate queries received 55 requested transfers completed ++ Zone Maintenance Statistics ++ 109536 IPv4 notifies sent ++ Resolver Statistics ++ [Common] [View: internal] 29362 IPv4 queries sent 2013 IPv6 queries sent 28531 IPv4 responses received 4209 NXDOMAIN received 6 SERVFAIL received 31 FORMERR received 32 EDNS(0) query failures 3359 query retries 836 query timeouts 5348 IPv4 NS address fetches 3271 IPv6 NS address fetches 83 IPv4 NS address fetch failed 2779 IPv6 NS address fetch failed 17421 DNSSEC validation attempted 12731 DNSSEC validation succeeded 4690 DNSSEC NX validation succeeded 21104 queries with RTT 10-100ms 7418 queries with RTT 100-500ms 3 queries with RTT 500-800ms 1 queries with RTT 800-1600ms [View: external] 192 IPv4 queries sent 104 IPv6 queries sent 192 IPv4 responses received 2 NXDOMAIN received 104 query retries 44 IPv4 NS address fetches 44 IPv6 NS address fetches 1 IPv4 NS address fetch failed 1 IPv6 NS address fetch failed 4 DNSSEC validation attempted 3 DNSSEC validation succeeded 1 DNSSEC NX validation succeeded 152 queries with RTT 10-100ms 40 queries with RTT 100-500ms [View: _bind] ++ Cache DB RRsets ++ [View: internal (Cache: internal)] 2007 A 652 NS 131 CNAME 1 MX 32 TXT 421 AAAA 28 DS 244 RRSIG 110 NSEC 3 DNSKEY 2 !A 2 !TXT 89 !AAAA 2 !SPF 14 !DLV 148 NXDOMAIN [View: external (Cache: external)] 55 A 12 NS 34 AAAA 2 DS 10 RRSIG 1 DNSKEY [View: _bind (Cache: _bind)] ++ Socket I/O Statistics ++ 82958 UDP/IPv4 sockets opened 2118 UDP/IPv6 sockets opened 4 TCP/IPv4 sockets opened 1 TCP/IPv6 sockets opened 82956 UDP/IPv4 sockets closed 2117 UDP/IPv6 sockets closed 58 TCP/IPv4 sockets closed 15 UDP/IPv4 socket bind failures 2117 UDP/IPv6 socket connect failures 29554 UDP/IPv4 connections established 59 TCP/IPv4 connections accepted 2117 UDP/IPv6 send errors 5 UDP/IPv4 recv errors ++ Per Zone Query Statistics ++ --- Statistics Dump --- (1352931389)

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• Postmaster uses excessive CPU and Disk Writes

  - by wolfcastle

  using PostgreSQL 9.1.2 I'm seeing excessive CPU usage and large amounts of writes to disk from postmaster tasks. This happens even while my application is doing almost nothing (10s of inserts per MINUTE). There are a reasonable number of connections open however. I've been trying to determine what in my application is causing this. I'm pretty newb with postgresql, and haven't gotten anywhere so far. I've turned on some logging options in my config file, and looked at connections in the pg_stat_activity table, but they are all idle. Yet each connection consumes ~ 50% CPU, and is writing ~15M/s to disk (reading nothing). I'm basically using the stock postgresql.conf with very little tweaks. I'd appreciate any advice or pointers on what I can do to track this down. Here is a sample of what top/iotop is showing me: Cpu(s): 18.9%us, 14.4%sy, 0.0%ni, 53.4%id, 11.8%wa, 0.0%hi, 1.5%si, 0.0%st Mem: 32865916k total, 7263720k used, 25602196k free, 575608k buffers Swap: 16777208k total, 0k used, 16777208k free, 4464212k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 17057 postgres 20 0 236m 33m 13m R 45.0 0.1 73:48.78 postmaster 17188 postgres 20 0 219m 15m 11m R 42.3 0.0 61:45.57 postmaster 17963 postgres 20 0 219m 16m 11m R 42.3 0.1 27:15.01 postmaster 17084 postgres 20 0 219m 15m 11m S 41.7 0.0 63:13.64 postmaster 17964 postgres 20 0 219m 17m 12m R 41.7 0.1 27:23.28 postmaster 18688 postgres 20 0 219m 15m 11m R 41.3 0.0 63:46.81 postmaster 17088 postgres 20 0 226m 24m 12m R 41.0 0.1 64:39.63 postmaster 24767 postgres 20 0 219m 17m 12m R 41.0 0.1 24:39.24 postmaster 18660 postgres 20 0 219m 14m 9.9m S 40.7 0.0 60:51.52 postmaster 18664 postgres 20 0 218m 15m 11m S 40.7 0.0 61:39.61 postmaster 17962 postgres 20 0 222m 19m 11m S 40.3 0.1 11:48.79 postmaster 18671 postgres 20 0 219m 14m 9m S 39.4 0.0 60:53.21 postmaster 26168 postgres 20 0 219m 15m 10m S 38.4 0.0 59:04.55 postmaster Total DISK READ: 0.00 B/s | Total DISK WRITE: 195.97 M/s TID PRIO USER DISK READ DISK WRITE SWAPIN IO> COMMAND 17962 be/4 postgres 0.00 B/s 14.83 M/s 0.00 % 0.25 % postgres: aggw aggw [local] idle 17084 be/4 postgres 0.00 B/s 15.53 M/s 0.00 % 0.24 % postgres: aggw aggw [local] idle 17963 be/4 postgres 0.00 B/s 15.00 M/s 0.00 % 0.24 % postgres: aggw aggw [local] idle 17188 be/4 postgres 0.00 B/s 14.80 M/s 0.00 % 0.24 % postgres: aggw aggw [local] idle 17964 be/4 postgres 0.00 B/s 15.50 M/s 0.00 % 0.24 % postgres: aggw aggw [local] idle 18664 be/4 postgres 0.00 B/s 15.13 M/s 0.00 % 0.23 % postgres: aggw aggw [local] idle 17088 be/4 postgres 0.00 B/s 14.71 M/s 0.00 % 0.13 % postgres: aggw aggw [local] idle 18688 be/4 postgres 0.00 B/s 14.72 M/s 0.00 % 0.00 % postgres: aggw aggw [local] idle 24767 be/4 postgres 0.00 B/s 14.93 M/s 0.00 % 0.00 % postgres: aggw aggw [local] idle 18671 be/4 postgres 0.00 B/s 16.14 M/s 0.00 % 0.00 % postgres: aggw aggw [local] idle 17057 be/4 postgres 0.00 B/s 13.58 M/s 0.00 % 0.00 % postgres: aggw aggw [local] idle 26168 be/4 postgres 0.00 B/s 15.50 M/s 0.00 % 0.00 % postgres: aggw aggw [local] idle 18660 be/4 postgres 0.00 B/s 15.85 M/s 0.00 % 0.00 % postgres: aggw aggw [local] idle

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• Apache and MySQL taking all the memory? Maximum connections?

  - by lpfavreau

  I've a had one of our servers going down (network wise) but keeping its uptime (so looks the server is not losing its power) recently. I've asked my hosting company to investigate and I've been told, after investigation, that Apache and MySQL were at all time using 80% of the memory and peaking at 95% and that I might be needing to add some more RAM to the server. One of their justifications to adding more RAM was that I was using the default max connections setting (125 for MySQL and 150 for Apache) and that for handling those 150 simultaneous connections, I would need at least 3Gb of memory instead of the 1Gb I have at the moment. Now, I understand that tweaking the max connections might be better than me leaving the default setting although I didn't feel it was a concern at the moment, having had servers with the same configuration handle more traffic than the current 1 or 2 visitors before the lunch, telling myself I'd tweak it depending on the visits pattern later. I've also always known Apache was more memory hungry under default settings than its competitor such as nginx and lighttpd. Nonetheless, looking at the stats of my machine, I'm trying to see how my hosting company got those numbers. I'm getting: # free -m total used free shared buffers cached Mem: 1000 944 56 0 148 725 -/+ buffers/cache: 71 929 Swap: 1953 0 1953 Which I guess means that yes, the server is reserving around 95% of its memory at the moment but I also thought it meant that only 71 out of the 1000 total were really used by the applications at the moment looking a the buffers/cache row. Also I don't see any swapping: # vmstat 60 procs -----------memory---------- ---swap-- -----io---- -system-- ----cpu---- r b swpd free buff cache si so bi bo in cs us sy id wa 0 0 0 57612 151704 742596 0 0 1 1 3 11 0 0 100 0 0 0 0 57604 151704 742596 0 0 0 1 1 24 0 0 100 0 0 0 0 57604 151704 742596 0 0 0 2 1 18 0 0 100 0 0 0 0 57604 151704 742596 0 0 0 0 1 13 0 0 100 0 And finally, while requesting a page: top - 08:33:19 up 3 days, 13:11, 2 users, load average: 0.06, 0.02, 0.00 Tasks: 81 total, 1 running, 80 sleeping, 0 stopped, 0 zombie Cpu(s): 1.3%us, 0.3%sy, 0.0%ni, 98.3%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Mem: 1024616k total, 976744k used, 47872k free, 151716k buffers Swap: 2000052k total, 0k used, 2000052k free, 742596k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 24914 www-data 20 0 26296 8640 3724 S 2 0.8 0:00.06 apache2 23785 mysql 20 0 125m 18m 5268 S 1 1.9 0:04.54 mysqld 24491 www-data 20 0 25828 7488 3180 S 1 0.7 0:00.02 apache2 1 root 20 0 2844 1688 544 S 0 0.2 0:01.30 init ... So, I'd like to know, experts of serverfault: Do I really need more RAM at the moment? How do they calculate that for 150 simultaneous connections I'd need 3Gb? Thanks for your help!

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• Disk IO causing high load on Xen/CentOS guest

  - by Peter Lindqvist

  I'm having serious issues with a xen based server, this is on the guest partition. It's a paravirtualized CentOS 5.5. The following numbers are taken from top while copying a large file over the network. If i copy the file another time the speed decreases in relation to load average. So the second time it's half the speed of the first time. It needs some time to cool off after this. Load average slowly decreases until it's once again usable. ls / takes about 30 seconds. top - 13:26:44 up 13 days, 21:44, 2 users, load average: 7.03, 5.08, 3.15 Tasks: 134 total, 2 running, 132 sleeping, 0 stopped, 0 zombie Cpu(s): 0.0%us, 0.1%sy, 0.0%ni, 25.3%id, 74.5%wa, 0.0%hi, 0.0%si, 0.1%st Mem: 1048752k total, 1041460k used, 7292k free, 3116k buffers Swap: 2129912k total, 40k used, 2129872k free, 904740k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 1506 root 10 -5 0 0 0 S 0.3 0.0 0:03.94 cifsd 1 root 15 0 2172 644 556 S 0.0 0.1 0:00.08 init Meanwhile the host is ~0.5 load avg and steady over time. ~50% wait Server hardware is dual xeon, 3gb ram, 170gb scsi 320 10k rpm, and shouldn't have any problems with copying files over the network. disk = [ "tap:aio:/vm/dev01.img,xvda,w" ] I also get these in the log INFO: task syslogd:1350 blocked for more than 120 seconds. "echo 0 > /proc/sys/kernel/hung_task_timeout_secs" disables this message. syslogd D 00062E4F 2208 1350 1 1353 1312 (NOTLB) c0ef0ed0 00000286 6e71a411 00062e4f c0ef0f18 00000009 c0f20000 6e738bfd 00062e4f 0001e7ec c0f2010c c181a724 c1abd200 00000000 ffffffff c0ef0ecc c041a180 00000000 c0ef0ed8 c03d6a50 00000000 00000000 c03d6a00 00000000 Call Trace: [<c041a180>] __wake_up+0x2a/0x3d [<ee06a1ea>] log_wait_commit+0x80/0xc7 [jbd] [<c043128b>] autoremove_wake_function+0x0/0x2d [<ee065661>] journal_stop+0x195/0x1ba [jbd] [<c0490a32>] __writeback_single_inode+0x1a3/0x2af [<c04568ea>] do_writepages+0x2b/0x32 [<c045239b>] __filemap_fdatawrite_range+0x66/0x72 [<c04910ce>] sync_inode+0x19/0x24 [<ee09b007>] ext3_sync_file+0xaf/0xc4 [ext3] [<c047426f>] do_fsync+0x41/0x83 [<c04742ce>] __do_fsync+0x1d/0x2b [<c0405413>] syscall_call+0x7/0xb ======================= I have tried disabling irqbalanced as suggested here but it does not seem to make any difference.

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• Ubuntu Server 12.04 CPU Load

  - by zertux

  I have a Server (2x Hexa-Core Xeon E5649 2.53GHz w/HT with 32GB RAM and 20000 GB Bandwidth) running Ubuntu Server 12.04 LTS. The server runs LAMP and serves one website only, the estimated number of users is to be ~ 15,000 at the same time. At the moment i have around 2000 users online each of them runs 50 MySQL queries (small values mostly select and insert) from the beginning until the end of the session. Server CPU Load is high at this number of connections while the RAM usage is almost 1GB out of 32GB its worth mentioning that the server was running very fast with no problems at all but am concerned about the load average. http://s12.postimage.org/z7hi6mz3h/photo.png top - 03:02:43 up 9 min, 2 users, load average: 50.83, 30.14, 12.83 Tasks: 432 total, 1 running, 430 sleeping, 0 stopped, 1 zombie Cpu(s): 0.1%us, 0.2%sy, 0.0%ni, 66.5%id, 33.1%wa, 0.0%hi, 0.0%si, 0.0%st Mem: 32939992k total, 3111604k used, 29828388k free, 84108k buffers Swap: 2048280k total, 0k used, 2048280k free, 1621640k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 2860 root 20 0 25820 2288 1420 S 3 0.0 0:11.18 htop 1182 root 20 0 0 0 0 D 2 0.0 0:01.46 kjournald 1935 mysql 20 0 12.3g 161m 7924 S 1 0.5 102:31.45 mysqld 11 root 20 0 0 0 0 S 0 0.0 0:00.38 kworker/0:1 1822 www-data 20 0 247m 25m 4188 D 0 0.1 0:01.81 apache2 2920 www-data 20 0 0 0 0 Z 0 0.0 0:01.20 apache2 <defunct> 2942 www-data 20 0 247m 23m 3056 D 0 0.1 0:00.20 apache2 3516 www-data 20 0 247m 23m 3028 D 0 0.1 0:00.06 apache2 3521 www-data 20 0 247m 23m 3020 D 0 0.1 0:00.09 apache2 3664 www-data 20 0 247m 23m 3132 D 0 0.1 0:00.09 apache2 3674 www-data 20 0 247m 23m 3252 D 0 0.1 0:00.06 apache2 3713 www-data 20 0 247m 23m 3040 D 0 0.1 0:00.09 apache2 1 root 20 0 24328 2284 1344 S 0 0.0 0:03.09 init 2 root 20 0 0 0 0 S 0 0.0 0:00.00 kthreadd 3 root 20 0 0 0 0 S 0 0.0 0:00.01 ksoftirqd/0 6 root RT 0 0 0 0 S 0 0.0 0:00.00 migration/0 7 root RT 0 0 0 0 S 0 0.0 0:00.00 watchdog/0 8 root RT 0 0 0 0 S 0 0.0 0:00.00 migration/1 9 root 20 0 0 0 0 S 0 0.0 0:00.00 kworker/1:0 root@server:~/codes# vmstat 1 procs -----------memory---------- ---swap-- -----io---- -system-- ----cpu---- r b swpd free buff cache si so bi bo in cs us sy id wa 19 0 0 29684012 86112 1689844 0 0 19 590 254 231 48 0 47 5 23 0 0 29704812 86128 1697672 0 0 4 320 11100 8121 77 1 22 0 33 0 0 29671044 86156 1705308 0 0 0 5440 13190 9140 95 1 4 0 33 3 0 29670088 86160 1706288 0 0 0 32932 12275 7297 99 0 1 0 35 0 0 29693456 86188 1710724 0 0 4 676 12701 7867 98 1 1 0 ^C I have not changed any of the default configurations that comes with Ubuntu. Is this load normal for such powerful server ? is there any optimization i can make to Apache/MySQL to minimize the load ? What do you recommend ?

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• many unknow process name as "sudo"

  - by joaner

  my server free memoney is less and less, And many process COMMAND are"sudo" when use top and enter M. I don't understand root user need to use "sudo". I want to know the way these processes are generated ? Can I kill ? Tasks: 185 total, 1 running, 184 sleeping, 0 stopped, 0 zombie Cpu(s): 0.0%us, 0.0%sy, 0.0%ni,100.0%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Mem: 3967848k total, 3484196k used, 483652k free, 218532k buffers Swap: 4112376k total, 0k used, 4112376k free, 2932864k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 22219 mysql 20 0 582m 67m 5492 S 0.0 1.7 0:01.75 mysqld 22337 daemon 20 0 327m 31m 3440 S 0.0 0.8 0:01.58 httpd 22252 daemon 20 0 321m 26m 3416 S 0.0 0.7 0:01.25 httpd 22263 daemon 20 0 319m 23m 3396 S 0.0 0.6 0:00.71 httpd 22253 daemon 20 0 310m 18m 3444 S 0.0 0.5 0:00.69 httpd 22251 root 20 0 28392 12m 3640 S 0.0 0.3 0:00.09 httpd 2422 root 20 0 9192 3608 2184 S 0.0 0.1 0:00.32 ssh 13613 root 20 0 38220 3572 1044 S 0.0 0.1 0:22.31 rsyslogd 2423 root 20 0 11556 3420 2692 S 0.0 0.1 0:00.11 sshd 22570 root 20 0 11716 3408 2676 S 0.0 0.1 0:00.08 sshd 3351 root 20 0 10384 2540 2000 S 0.0 0.1 0:00.06 sudo 30870 root 20 0 10384 2528 2000 S 0.0 0.1 0:00.06 sudo 14356 dkim-mil 20 0 49664 2444 1468 S 0.0 0.1 0:03.91 dkim-filter 2085 root 20 0 10376 2344 1824 S 0.0 0.1 0:00.00 sudo 7741 root 20 0 10376 2344 1824 S 0.0 0.1 0:00.00 sudo 29838 root 20 0 10376 2344 1824 S 0.0 0.1 0:00.00 sudo 2006 root 20 0 10376 2340 1824 S 0.0 0.1 0:00.00 sudo 29747 root 20 0 10376 2340 1824 S 0.0 0.1 0:00.00 sudo 30602 root 20 0 10376 2340 1824 S 0.0 0.1 0:00.00 sudo 30935 root 20 0 10376 2340 1824 S 0.0 0.1 0:00.00 sudo 2259 root 20 0 10376 2336 1824 S 0.0 0.1 0:00.00 sudo 2503 root 20 0 10376 2336 1824 S 0.0 0.1 0:00.00 sudo 2515 root 20 0 10376 2336 1824 S 0.0 0.1 0:00.00 sudo 7718 root 20 0 10376 2336 1824 S 0.0 0.1 0:00.00 sudo 7745 root 20 0 10376 2336 1824 S 0.0 0.1 0:00.00 sudo 29845 root 20 0 10376 2336 1824 S 0.0 0.1 0:00.00 sudo 30172 root 20 0 10376 2336 1824 S 0.0 0.1 0:00.00 sudo 30352 root 20 0 10376 2336 1824 S 0.0 0.1 0:00.00 sudo 30548 root 20 0 10376 2336 1824 S 0.0 0.1 0:00.00 sudo 30598 root 20 0 10376 2336 1824 S 0.0 0.1 0:00.00 sudo 30897 root 20 0 10376 2336 1824 S 0.0 0.1 0:00.00 sudo 30899 root 20 0 10376 2336 1824 S 0.0 0.1 0:00.00 sudo

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• Linux: find out what process is using all the RAM?

  - by Timur

  Before actually asking, just to be clear: yes, I know about disk cache, and no, it is not my case :) Sorry, for this preamble :) I'm using CentOS 5. Every application in the system is swapping heavily, and the system is very slow. When I do free -m, here is what I got: total used free shared buffers cached Mem: 3952 3929 22 0 1 18 -/+ buffers/cache: 3909 42 Swap: 16383 46 16337 So, I actually have only 42 Mb to use! As far as I understand, -/+ buffers/cache actually doesn't count the disk cache, so I indeed only have 42 Mb, right? I thought, I might be wrong, so I tried to switch off the disk caching and it had no effect - the picture remained the same. So, I decided to find out who is using all my RAM, and I used top for that. But, apparently, it reports that no process is using my RAM. The only process in my top is MySQL, but it is using 0.1% of RAM and 400Mb of swap. Same picture when I try to run other services or applications - all go in swap, top shows that MEM is not used (0.1% maximum for any process). top - 15:09:00 up 2:09, 2 users, load average: 0.02, 0.16, 0.11 Tasks: 112 total, 1 running, 111 sleeping, 0 stopped, 0 zombie Cpu(s): 0.0%us, 0.0%sy, 0.0%ni,100.0%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Mem: 4046868k total, 4001368k used, 45500k free, 748k buffers Swap: 16777208k total, 68840k used, 16708368k free, 16632k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ SWAP COMMAND 3214 ntp 15 0 23412 5044 3916 S 0.0 0.1 0:00.00 17m ntpd 2319 root 5 -10 12648 4460 3184 S 0.0 0.1 0:00.00 8188 iscsid 2168 root RT 0 22120 3692 2848 S 0.0 0.1 0:00.00 17m multipathd 5113 mysql 18 0 474m 2356 856 S 0.0 0.1 0:00.11 472m mysqld 4106 root 34 19 251m 1944 1360 S 0.0 0.0 0:00.11 249m yum-updatesd 4109 root 15 0 90152 1904 1772 S 0.0 0.0 0:00.18 86m sshd 5175 root 15 0 90156 1896 1772 S 0.0 0.0 0:00.02 86m sshd Restart doesn't help, and, by they way is very slow, which I wouldn't normally expect on this machine (4 cores, 4Gb RAM, RAID1). So, with that - I'm pretty sure that this is not a disk cache, who is using the RAM, because normally it should have been reduced and let other processes to use RAM, rather then go to swap. So, finally, the question is - if someone has any ideas how to find out what process is actually using the memory so heavily?

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• Online Password Security Tactics

  - by BuckWoody

  Recently two more large databases were attacked and compromised, one at the popular Gawker Media sites and the other at McDonald’s. Every time this kind of thing happens (which is FAR too often) it should remind the technical professional to ensure that they secure their systems correctly. If you write software that stores passwords, it should be heavily encrypted, and not human-readable in any storage. I advocate a different store for the login and password, so that if one is compromised, the other is not. I also advocate that you set a bit flag when a user changes their password, and send out a reminder to change passwords if that bit isn’t changed every three or six months.    But this post is about the *other* side – what to do to secure your own passwords, especially those you use online, either in a cloud service or at a provider. While you’re not in control of these breaches, there are some things you can do to help protect yourself. Most of these are obvious, but they contain a few little twists that make the process easier.   Use Complex Passwords This is easily stated, and probably one of the most un-heeded piece of advice. There are three main concepts here: ·         Don’t use a dictionary-based word ·         Use mixed case ·         Use punctuation, special characters and so on   So this: password Isn’t nearly as safe as this: P@ssw03d   Of course, this only helps if the site that stores your password encrypts it. Gawker does, so theoretically if you had the second password you’re in better shape, at least, than the first. Dictionary words are quickly broken, regardless of the encryption, so the more unusual characters you use, and the farther away from the dictionary words you get, the better.   Of course, this doesn’t help, not even a little, if the site stores the passwords in clear text, or the key to their encryption is broken. In that case…   Use a Different Password at Every Site What? I have hundreds of sites! Are you kidding me? Nope – I’m not. If you use the same password at every site, when a site gets attacked, the attacker will store your name and password value for attacks at other sites. So the only safe thing to do is to use different names or passwords (or both) at each site. Of course, most sites use your e-mail as a username, so you’re kind of hosed there. So even though you have hundreds of sites you visit, you need to have at least a different password at each site.   But it’s easier than you think – if you use an algorithm.   What I’m describing is to pick a “root” password, and then modify that based on the site or purpose. That way, if the site is compromised, you can still use that root password for the other sites.   Let’s take that second password: P@ssw03d   And now you can append, prepend or intersperse that password with other characters to make it unique to the site. That way you can easily remember the root password, but make it unique to the site. For instance, perhaps you read a lot of information on Gawker – how about these:   P@ssw03dRead ReadP@ssw03d PR@esasdw03d   If you have lots of sites, tracking even this can be difficult, so I recommend you use password software such as Password Safe or some other tool to have a secure database of your passwords at each site. DO NOT store this on the web. DO NOT use an Office document (Microsoft or otherwise) that is “encrypted” – the encryption office automation packages use is very trivial, and easily broken. A quick web search for tools to do that should show you how bad a choice this is.   Change Your Password on a Schedule I know. It’s a real pain. And it doesn’t seem worth it…until your account gets hacked. A quick note here – whenever a site gets hacked (and I find out about it) I change the password at that site immediately (or quit doing business with them) and then change the root password on every site, as quickly as I can.   If you follow the tip above, it’s not as hard. Just add another number, year, month, day, something like that into the mix. It’s not unlike making a Primary Key in an RDBMS.   P@ssw03dRead10242010   Change the site, and then update your password database. I do this about once a month, on the first or last day, during staff meetings. (J)   If you have other tips, post them here. We can all learn from each other on this.

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• LA SPÉCIALISATION POUR SE DIFFÉRENCIER ET ÊTRE VALORISÉ

  - by michaela.seika(at)oracle.com

  Software. Hardware. Complete. inside the Click Here The order you must follow to make the colored link appear in browsers. If not the default window link will appear 1. Select the word you want to use for the link 2. Select the desired color, Red, Black, etc 3. Select bold if necessary ___________________________________________________________________________________________________________________ Templates use two sizes of fonts and the sans-serif font tag for the email. All Fonts should be (Arial, Helvetica, sans-serif) tags Normal size reading body fonts should be set to the size of 2. Small font sizes should be set to 1 !!!!!!!DO NOT USE ANY OTHER SIZE FONT FOR THE EMAILS!!!!!!!! ___________________________________________________________________________________________________________________ --     LA SPÉCIALISATION  POUR SE DIFFÉRENCIER ET ÊTRE VALORISÉ       Le marché nous demande de plus en plus de solutions et d’engagements. Pour bâtir ces solutions nous nous appuyons sur vous, Partenaires Oracle. En matière d’engagements, Oracle se doit de communiquer auprès du marché quant à la spécialisation de ses partenaires, sur leurs compétences en fonction des projets que les clients nous demandent d’adresser. Plus de 50 spécialisations sont à ce jour disponibles pour les partenaires Gold, Platinum et Diamond : • Sur les produits Technologiques tels que la Base de Données, les options de la Base, la SOA, la Business Intelligence, … • Sur les produits Applicatifs, tels que l’ERP, le CRM, … • Sur les produits Hardware, les Systèmes d’exploitation. Afin de vous aider à vous spécialiser et donc à vous certifier, nos 2 distributeurs à valeur ajoutée, Altimate et Arrow ECS, vous assistent dans cette démarche. ALTIMATE vous propose de participer Lunch & Spécialisation tour Profitez de ces dispositifs qui sont mis en place pour vous afin de vous spécialiser et profiter de tous les bénéfices auxquels vous donne accès la spécialisation. ARROW ECS vous propose de participer : L'Ecole de la spécialisation Oracle by Arrow Profitez de ces dispositifs qui sont mis en place pour vous afin de vous spécialiser et profiter de tous les bénéfices auxquels vous donne accès la spécialisation. Oracle Solutions Tour Découvrez la solution Oracle lors de ce tour de France. Au programme :  roadmaps, ateliers produits et solutions, certifications     BÉNÉFICES en savoir + • l’engagement d’Oracle aux côtés des partenaires pour adresser les grands dossiers • la visibilité auprès des clients pour être identifié comme Expert sur une offre, reconnu et validé par Oracle • le support (accès support gratuit), Oracle University (vouchers pour certifier gratuitement vos équipes de Consultants Implementation) • les budgets Marketing (lead generation, création de campagnes Marketing, être sponsor d’événements clients)   Différenciez-vous en vous spécialisant sur votre domaine d’expertise et accélérez votre succès ! Oracle et ses Distributeurs à Valeur Ajoutée     Eric Fontaine Directeur Alliances & Channel Technologie Europe du Sud vous présente en vidéo la spécialisation et ses avantages.                                         CONTACTS : ORACLE Jean-Jacques PanissiéOracle Partner Development A&C Technology +33 157 60 28 52 ALTIMATE Sophie Daval +33 1 34 58 47 68 ARROW [email protected] +33 1 49 97 59 63          

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• Visual Studio &amp; TFS 11 &ndash; List of extensions and upgrades

  - by terje

  This post is a list of the extensions I recommend for use with Visual Studio 11. It’s coming up all the time – what to install, where are the download sites, last version, etc etc, and thus I thought it better to post it here and keep it updated. The basics are Visual Studio 11 connected to a Team Foundation Server 11. Note that we now are at Beta time, and that also many live in a side-by-side environment with Visual Studio 2010.  The side-by-side is supported by VS 11. However, if you installed a component supporting VS11 before you installed VS11, then you need to reinstall it.  The VSIX installer will understand that it is to apply those only for VS11, and will not touch – nor remove – the same for VS2010. A good example here is the Power Commands. The list is more or less in priority order. The focus is to get a setup which can be used for a complete coding experience for the whole ALM process. The list of course reflects what I use for my work , so it is by no means complete, and for some of the tools there are equally useful alternatives. Many components have not yet arrived with VS11 support.  I will add them as they arrive.  The components directly associated with Visual Studio from Microsoft should be common, see the Microsoft column. If you still need the VS2010 extensions, here they are: The extensions for VS 2010.   Components ready for VS 11, both upgrades and new ones Product Notes Latest Version License Applicable to Microsoft TFS Power Tools Beta 111 Side-by-side with TFS 2010 should work, but remove the Shell Extension from the TFS 2010 power tool first. March 2012(11.0.50321.0) Free TFS integration Yes ReSharper EAP for Beta 11 (updates very often, nearly daily) 7.0.3.261 pr. 16/3/2012 Free as EAP, Licensed later Coding & Quality No Power Commands1 Just reinstall, even if you already have it for VS2010. The reinstall will then apply it to VS 11 1.0.2.3 Free Coding Yes Visualization and Modelling SDK for beta Info here and here. Another download site and info here. Also download from MSDN Subscription site. Requires VS 11 Beta SDK 11 Free now, otherwise Part of MSDN Subscription Modeling Yes Visual Studio 11 Beta SDK Published 16.2.2012     Yes Visual Studio 11 Feedback tool1 Use this to really ease the process of sending bugs back to Microsoft. 1.1 Free as prerelase Visual Studio Yes             #1 Get via Visual Studio’s Tools | Extension Manager (or The Code Gallery). (From Adam : All these are auto updated by the Extension Manager in Visual Studio) #2 Works with ultimate only Components we wait for, not yet in a VS 11 version Product Notes Latest Version License Applicable to Microsoft       Coding Yes Inmeta Build Explorer     Free TFS integration No Build Manager Community Build Manager. Info here from Jakob   Free TFS Integration No Code Contracts Coming real soon   Free Coding & Quality Yes Code Contracts Editor Extensions     Free Coding & Quality Yes Web Std Update     Free Coding (Web) Yes (MSFT) Web Essentials     Free Coding (Web) Yes (MSFT) DotPeek It says up to .Net 4.0, but some tests indicates it seems to be able to handle 4.5. 1.0.0.7999 Free Coding/Investigation No Just Decompile Also says up to .net 4.0   Free Coding/Investigation No dotTrace     Licensed Quality No NDepend   Licensed Quality No tangible T4 editor     Lite version Free (Good enough) Coding (T4 templates) No Pex Moles are now integrated and improved in VS 11 as a new library called Fakes.     Coding & Unit Testing Yes Components which are now integrated into VS 11 Product Notes Productivity Power Tools Features integrated into VS11, with a few exceptions, I don’t think you will miss those. Fakes  Was Moles in 2010. Fakes is improved and made into a product.  NuGet Manager Included in the install, but still an extension package. Info here. Product installation, upgrades and patches for VS/TFS 11   Product Notes Date Applicable to Visual Studio 11 & TFS 11 Beta This is the beta release, and you are free to download and try it out. March 2012 Visual Studio and TFS SQL Server 2008 R2 SP1 Cumulative Update 4 The TFS 11 requires the CU1 at least, but you should go up to at least CU4, since this update solves a ghost record problem that otherwise may cause your TFS database to not release records the way it should when you clean it up, see this post for more information on that issue.  Oct 2011 SQL Server 2008 R2 SP1

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• My Codemash 2011 Retrospective

  - by Greg Malcolm

  I just got back from Codemash yesterday, and still on an adrenaline buzz. Here's my take on this years encounter: The Awesome Nearly everybody in one place Codemash is the ultimate place to catch up with community friends. This is my 3rd year visiting and I've got to know a great number of very cool people through various conferences, Give Camps and other community events. I'm finding more and more that Codemash is the best place to catch up with everybody regardless of technology interest or location. Of course I always make a whole bunch more friends while I'm there! Yay! Open Spaced I found the open spaces didn't work so well last year. This year things went a lot smoother and the topics were engaging and fresh. While I miss Alan Steven's approach of running it like an agile project, it was very cool to see that it evolving. Laptops were often cracked open, not just once but frequently! For example: Jasmine - Paired on a javascript kata using the Jasmine javascript test runner J - Sat in on a J demo from local J enthusiast, Tracy Harms Watir - More pairing, this time using Ruby with the watir-webdriver through cucumber. I'd mostly forgotten that Cucumber runs just fine without Rails. It made a change to do without. The other spaces were engaging too, but I think that's enough for that topic. Javascript Shenanigans I've already mentioned that I attended a Jasmine kata session. Jasmine is close to my heart right now every since I discovered it while on the hunt for a decent Javascript testing framework for a javascript koans project earlier this year. Well, it also got covered in the Java Precompiler and Pillar's vendor session, which was great to see. Node.js was also a reoccurring theme. Node.js in a nutshell? It's an extremely scalable Event based I/O server which runs on Javascript. I'd already encountered through a Startup Weekend project and have been noticing increasing interest of late. After encountering more node.js driven excitement from my peers at codemash I absolutely had to attend the open space on it. At least 20 people turned up and by the end we had some answers, a whole ton of new questions and an impromptu user group in the form of a twitter channel (#nodemash). I have no idea where this is going to go or how big it is going to become, but if it can cross the chasm into the enterprise it could become huge... Scala Koans I'm a bit of a Koans addict, and I really need more exposure to functional languages so I gave the Scala Koans precompiler a try. Great fun! I'm really glad I attended because I found I had a whole ton of questions. Currently the koans are available here, and the answers are here. Opportunities While we're on the subject can we change the subject now? Hai Gregory, You really need to keep the drinking for later in the day. I mean seriously, you're 34 and you still do this every single time! Sure, you made it to Chad Fowler keynote ok, but you looking a rather pale weren't you? Also might have been nice to attend 'Netflicks in the Cloud' instead of 'Sleeping It Off For People Who Should Know Better'. Kthxbye PS: Stop talking to yourself Not that I entirely regret it, I've had some of my greatest insights through late night drunken conversations at the CodeMash bar. Just might be nice to reign it in a little and get something out of the next morning too. Diversity This is something that is in the back of my mind because of conversations at Codemash as well as throughout the year; I'm realizing more and more how discouraging the IT profession is for women. I notice in the community there has been a lot of attention paid to stamping out harrasment, which is good, but there also seems to be a massive PR issue. I really don't have any solutions, but I figure it can't hurt to pay more attention to whats going on... And in Other News I now have a picture of Chad Fowler giving me more cowbell! Sadly I managed to lose the cowbell later on. Hopefully it's gone to a Better Place. The Womack Family Band joined in with the musicians jam this year. There's my cowbell again! Why must you hide from me? I also finally went in the water for the first time in all the I've been coming to codemash. Why did I wait so long?!?

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• PASS: 2013 Summit Location

  - by Bill Graziano

  HQ recently posted a brief update on our search for a location for 2013.  It includes links to posts by four Board members and two community members. I’d like to add my thoughts to the mix and ask you a question.  But I can’t give you a real understanding without telling you some history first. So far we’ve had the Summit in Chicago, San Francisco, Orlando, Dallas, Denver and Seattle.  Each has a little different feel and distinct memories.  I enjoyed getting drinks by the pool in Orlando after the sessions ended.  I didn’t like that our location in Dallas was so far away from all the nightlife.  Denver was in downtown but we had real challenges with hotels.  I enjoyed the different locations.  I always enjoyed the announcement during the third keynote with the location of the next Summit. There are two big events that impacted my thinking on the Summit location.  The first was our transition to the new management company in early 2007.  The event that September in Denver was put on with a six month planning cycle by a brand new headquarters staff.  It wasn’t perfect but came off much better than I had dared to hope.  It also moved us out of the cookie cutter conferences that we used to do into a model where we have a lot more control.  I think you’ll all agree that the production values of our last few Summits have been fantastic.  That Summit also led to our changing relationship with Microsoft.  Microsoft holds two seats on the PASS Board.  All the PASS Board members face the same challenge: we all have full-time jobs and PASS comes in second place professionally (or sometimes further back).  Starting in 2008 we were assigned a liaison from Microsoft that had a much larger block of time to coordinate with us.  That changed everything between PASS and Microsoft.  Suddenly we were talking to product marketing, Microsoft PR, their event team, the Tech*Ed team, the education division, their user group team and their field sales team – locally and internationally.  We strengthened our relationship with CSS, SQLCAT and the engineering teams.  We had exposure at the executive level that we’d never had before.  And their level of participation at the Summit changed from under 100 people to 400-500 people.  I think those 400+ Microsoft employees have value at a conference on Microsoft SQL Server.  For the first time, Seattle had a real competitive advantage over other cities. I’m one that looked very hard at staying in Seattle for a long, long time.  I think those Microsoft engineers have value to our attendees.  I think the increased support that Microsoft can provide when we’re in Seattle has value to our attendees.  But that doesn’t tell the whole story.  There’s a significant (and vocal!) percentage of our membership that wants the Summit outside Seattle.  Post-2007 PASS doesn’t know what it’s like to have a Summit outside of Seattle.  I think until we have a Summit in another city we won’t really know the trade-offs. I think a model where we move every third or every other year is interesting.  But until we have another Summit outside Seattle and we can evaluate the logistics and how important it is to have depth and variety in our Microsoft participation we won’t really know. Another benefit that comes with a move is variety or diversity.  I learn more when I’m exposed to new things and new people.  I believe that moving the Summit will give a different set of people an opportunity to attend. Grant Fritchey writes “It seems that the board is leaning, extremely heavily, towards making it a permanent fixture in Seattle.”  I don’t believe that’s true.  I know there was discussion of that earlier but I don’t believe it’s true now. And that brings me to my question.  Do we announce the city now or do we wait until the 2012 Summit?  I’m happy to announce Seattle vs. not-Seattle as soon as we sign the contract.  But I’d like to leave the actual city announcement until the 2011 Summit.  I like the drama and mystery of it.  I also like that it doesn’t give you a reason to skip a Summit and wait for the next one if it’s closer or back in Seattle.  The other side of the coin is that your planning is easier if you know where it is.  What do you think?

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• Two unordered list from this XML data

  - by Daniel

  Hi I have this XML: <Tekstside id="1081" level="3" nodeName="Test" urlName="test"> <umbracoRedirect /> <overskrift>Test</overskrift> <tekst></tekst> <sidensTitel /> <sidensBeskrivelse /> <sidensNgleord /> - <Faktaboks id="1113" level="4" nodeName="Det her virker" urlName="det-her-virker"> <umbracoNaviHide>1</umbracoNaviHide> - <fordele> - <values> <value>Ingen emission</value> <value>Det virker bare</value> <value>Det er top nice</value> <value>Det er bare fedt</value> <value>Udstødnings</value> <value /> </values> </fordele> - <ulemper> - <values> <value>Giver sygdom</value> <value>Er farligt</value> <value /> </values> </ulemper> </Faktaboks> </Tekstside> I want the "fordele" values and the "ulemper" values made into the unorderes lists with XSLT in Umbraco: <div class="fanda"> <ul class="for"> <li>Købsprisen</li> </ul> <ul class="against"> <li>Kortere servicerings interval pga. additivet fylder med i filteret.</li> <li>Der kan forekomme meget varieret modtryk, isærpå biler med lav - udstødningstemperatur.</li> <li>Udgifter til Additiv - typisk fra 400 - 600 kr. pr. liter.</li> <li>Kan ikke klare alle kørselsmønstre</li> </ul> </div>

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• R glm standard error estimate differences to SAS PROC GENMOD

  - by Michelle

  I am converting a SAS PROC GENMOD example into R, using glm in R. The SAS code was: proc genmod data=data0 namelen=30; model boxcoxy=boxcoxxy ~ AGEGRP4 + AGEGRP5 + AGEGRP6 + AGEGRP7 + AGEGRP8 + RACE1 + RACE3 + WEEKEND + SEQ/dist=normal; FREQ REPLICATE_VAR; run; My R code is: parmsg2 <- glm(boxcoxxy ~ AGEGRP4 + AGEGRP5 + AGEGRP6 + AGEGRP7 + AGEGRP8 + RACE1 + RACE3 + WEEKEND + SEQ , data=data0, family=gaussian, weights = REPLICATE_VAR) When I use summary(parmsg2) I get the same coefficient estimates as in SAS, but my standard errors are wildly different. The summary output from SAS is: Name df Estimate StdErr LowerWaldCL UpperWaldCL ChiSq ProbChiSq Intercept 1 6.5007436 .00078884 6.4991975 6.5022897 67911982 0 agegrp4 1 .64607262 .00105425 .64400633 .64813891 375556.79 0 agegrp5 1 .4191395 .00089722 .41738099 .42089802 218233.76 0 agegrp6 1 -.22518765 .00083118 -.22681672 -.22355857 73401.113 0 agegrp7 1 -1.7445189 .00087569 -1.7462352 -1.7428026 3968762.2 0 agegrp8 1 -2.2908855 .00109766 -2.2930369 -2.2887342 4355849.4 0 race1 1 -.13454883 .00080672 -.13612997 -.13296769 27817.29 0 race3 1 -.20607036 .00070966 -.20746127 -.20467944 84319.131 0 weekend 1 .0327884 .00044731 .0319117 .03366511 5373.1931 0 seq2 1 -.47509583 .00047337 -.47602363 -.47416804 1007291.3 0 Scale 1 2.9328613 .00015586 2.9325559 2.9331668 -127 The summary output from R is: Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 6.50074 0.10354 62.785 < 2e-16 AGEGRP4 0.64607 0.13838 4.669 3.07e-06 AGEGRP5 0.41914 0.11776 3.559 0.000374 AGEGRP6 -0.22519 0.10910 -2.064 0.039031 AGEGRP7 -1.74452 0.11494 -15.178 < 2e-16 AGEGRP8 -2.29089 0.14407 -15.901 < 2e-16 RACE1 -0.13455 0.10589 -1.271 0.203865 RACE3 -0.20607 0.09315 -2.212 0.026967 WEEKEND 0.03279 0.05871 0.558 0.576535 SEQ -0.47510 0.06213 -7.646 2.25e-14 The importance of the difference in the standard errors is that the SAS coefficients are all statistically significant, but the RACE1 and WEEKEND coefficients in the R output are not. I have found a formula to calculate the Wald confidence intervals in R, but this is pointless given the difference in the standard errors, as I will not get the same results. Apparently SAS uses a ridge-stabilized Newton-Raphson algorithm for its estimates, which are ML. The information I read about the glm function in R is that the results should be equivalent to ML. What can I do to change my estimation procedure in R so that I get the equivalent coefficents and standard error estimates that were produced in SAS? To update, thanks to Spacedman's answer, I used weights because the data are from individuals in a dietary survey, and REPLICATE_VAR is a balanced repeated replication weight, that is an integer (and quite large, in the order of 1000s or 10000s). The website that describes the weight is here. I don't know why the FREQ rather than the WEIGHT command was used in SAS. I will now test by expanding the number of observations using REPLICATE_VAR and rerunning the analysis.

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