high_scalability high_scalability-2007 high_scalability-2007-37 knowledge-graph by maker-knowledge-mining
Source: html
Introduction: Web Log Storming is an interactive, desktop-based Web Log Analyzer for Windows. The whole new concept of log analysis makes it clearly different from any other web log analyzer. Browse through statistics to get into details - down to individual visitor's session. Check individual visitor behavior pattern and how it fits into your desired scenario. Web Log Storming does far more than just generate common reports - it displays detailed web site statistics with interactive graphs and reports. Very complete detailed log analysis of activity from every visitor to your web site is only a mouse-click away. In other words, analyze your web logs like never before! It's easy to track sessions, hits, page views, downloads, or whatever metric is most important to each user. You can look at referring pages and see which search engines and keywords were used to bring visitors to the site. Web site behavior, from the top entry and exit pages, to the paths that users follow, can be analyzed. You
sentIndex sentText sentNum sentScore
1 The whole new concept of log analysis makes it clearly different from any other web log analyzer. [sent-2, score-1.182]
2 Browse through statistics to get into details - down to individual visitor's session. [sent-3, score-0.305]
3 Check individual visitor behavior pattern and how it fits into your desired scenario. [sent-4, score-0.985]
4 Web Log Storming does far more than just generate common reports - it displays detailed web site statistics with interactive graphs and reports. [sent-5, score-1.134]
5 Very complete detailed log analysis of activity from every visitor to your web site is only a mouse-click away. [sent-6, score-1.372]
6 In other words, analyze your web logs like never before! [sent-7, score-0.319]
7 It's easy to track sessions, hits, page views, downloads, or whatever metric is most important to each user. [sent-8, score-0.278]
8 You can look at referring pages and see which search engines and keywords were used to bring visitors to the site. [sent-9, score-0.773]
9 Web site behavior, from the top entry and exit pages, to the paths that users follow, can be analyzed. [sent-10, score-0.473]
10 You can learn which countries your visitors come from, and which operating systems and browsers they use. [sent-11, score-0.502]
11 You'll learn how your bandwidth is being used, and how much time users spend on your site. [sent-12, score-0.152]
wordName wordTfidf (topN-words)
[('log', 0.368), ('visitor', 0.362), ('behavior', 0.198), ('visitors', 0.175), ('statistics', 0.175), ('directories', 0.174), ('storming', 0.174), ('interactive', 0.171), ('web', 0.159), ('analyzer', 0.151), ('exit', 0.151), ('keywords', 0.151), ('detailed', 0.149), ('referring', 0.147), ('browse', 0.136), ('pages', 0.131), ('individual', 0.13), ('displays', 0.126), ('browsers', 0.123), ('analysis', 0.122), ('metric', 0.119), ('countries', 0.118), ('desired', 0.117), ('site', 0.116), ('downloads', 0.112), ('paths', 0.106), ('engines', 0.103), ('entry', 0.1), ('fits', 0.098), ('activity', 0.096), ('reports', 0.088), ('words', 0.087), ('sessions', 0.086), ('learn', 0.086), ('whatever', 0.086), ('clearly', 0.084), ('hits', 0.083), ('logs', 0.081), ('concept', 0.081), ('generate', 0.08), ('pattern', 0.08), ('analyze', 0.079), ('images', 0.075), ('views', 0.074), ('track', 0.073), ('follow', 0.073), ('graphs', 0.07), ('bring', 0.066), ('spend', 0.066), ('check', 0.064)]
simIndex simValue blogId blogTitle
same-blog 1 0.99999982 37 high scalability-2007-07-28-Product: Web Log Storming
Introduction: Web Log Storming is an interactive, desktop-based Web Log Analyzer for Windows. The whole new concept of log analysis makes it clearly different from any other web log analyzer. Browse through statistics to get into details - down to individual visitor's session. Check individual visitor behavior pattern and how it fits into your desired scenario. Web Log Storming does far more than just generate common reports - it displays detailed web site statistics with interactive graphs and reports. Very complete detailed log analysis of activity from every visitor to your web site is only a mouse-click away. In other words, analyze your web logs like never before! It's easy to track sessions, hits, page views, downloads, or whatever metric is most important to each user. You can look at referring pages and see which search engines and keywords were used to bring visitors to the site. Web site behavior, from the top entry and exit pages, to the paths that users follow, can be analyzed. You
2 0.28527156 36 high scalability-2007-07-28-Product: Web Log Expert
Introduction: WebLog Expert is a fast and powerful access log analyzer. It will give you information about your site's visitors: activity statistics, accessed files, paths through the site, information about referring pages, search engines, browsers, operating systems, and more. The program produces easy-to-read HTML reports that include both text information (tables) and charts. View the WebLog Expert sample report to get the general idea of the variety of information about your site's usage it can provide. WebLog Expert can analyze logs of Apache and IIS web servers. It can even read GZ and ZIP compressed logs so you won't need to unpack them manually. The log analyzer features intuitive interface. Built-in wizards will help you quickly and easily create a profile for your site and analyze it.
3 0.28348666 30 high scalability-2007-07-26-Product: AWStats a Log Analyzer
Introduction: AWStats is a free powerful and featureful tool that generates advanced web, streaming, ftp or mail server statistics, graphically. This log analyzer works as a CGI or from command line and shows you all possible information your log contains, in few graphical web pages. It uses a partial information file to be able to process large log files, often and quickly. It can analyze log files from all major server tools like Apache log files (NCSA combined/XLF/ELF log format or common/CLF log format), WebStar, IIS (W3C log format) and a lot of other web, proxy, wap, streaming servers, mail servers and some ftp servers.
Introduction: This is a guest post by Gordon Worley , a Software Engineer at Korrelate , where they correlate (see what they did there) online purchases to offline purchases. Several weeks ago, we came into the office one morning to find every server alarm going off. Pixel log processing was behind by 8 hours and not making headway. Checking the logs, we discovered that a big client had come online during the night and was giving us 10 times more traffic than we were originally told to expect. I wouldn’t say we panicked, but the office was certainly more jittery than usual. Over the next several hours, though, thanks both to foresight and quick thinking, we were able to scale up to handle the added load and clear the backlog to return log processing to a steady state. At Korrelate, we deploy tracking pixels , also known beacons or web bugs, that our partners use to send us information about their users. These tiny web objects contain no visible content, but may include transparent 1 by 1 gif
5 0.18279076 77 high scalability-2007-08-30-Log Everything All the Time
Introduction: This JoelOnSoftware thread asks the age old question of what and how to log. The usual trace/error/warning/info advice is totally useless in a large scale distributed system. Instead, you need to log everything all the time so you can solve problems that have already happened across a potentially huge range of servers. Yes, it can be done. To see why the typical logging approach is broken, imagine this scenario: Your site has been up and running great for weeks. No problems. A foreshadowing beeper goes off at 2AM. It seems some users can no longer add comments to threads. Then you hear the debugging deathknell: it's an intermittent problem and customers are pissed. Fix it. Now. So how are you going to debug this? The monitoring system doesn't show any obvious problems or errors. You quickly post a comment and it works fine. This won't be easy. So you think. Commenting involves a bunch of servers and networks. There's the load balancer, spam filter, web server, database server,
6 0.18046129 233 high scalability-2008-01-30-How Rackspace Now Uses MapReduce and Hadoop to Query Terabytes of Data
7 0.16137376 105 high scalability-2007-10-01-Statistics Logging Scalability
8 0.14116751 35 high scalability-2007-07-28-Product: FastStats Log Analyzer
9 0.14098118 570 high scalability-2009-04-15-Implementing large scale web analytics
10 0.13924237 304 high scalability-2008-04-19-How to build a real-time analytics system?
11 0.13721012 541 high scalability-2009-03-16-Product: Smart Inspect
12 0.12919992 937 high scalability-2010-11-09-Paper: Hyder - Scaling Out without Partitioning
13 0.11878652 519 high scalability-2009-02-23-Database Sharding at Netlog, with MySQL and PHP
14 0.11529025 1008 high scalability-2011-03-22-Facebook's New Realtime Analytics System: HBase to Process 20 Billion Events Per Day
15 0.11302254 598 high scalability-2009-05-12-P2P server technology?
16 0.10976455 821 high scalability-2010-05-03-MocoSpace Architecture - 3 Billion Mobile Page Views a Month
17 0.10953556 638 high scalability-2009-06-26-PlentyOfFish Architecture
18 0.1083276 1361 high scalability-2012-11-22-Gone Fishin': PlentyOfFish Architecture
19 0.10644431 553 high scalability-2009-04-03-Collectl interface to Ganglia - any interest?
20 0.10642719 10 high scalability-2007-07-15-Book: Building Scalable Web Sites
topicId topicWeight
[(0, 0.127), (1, 0.037), (2, -0.019), (3, -0.128), (4, 0.029), (5, -0.025), (6, 0.007), (7, 0.026), (8, 0.054), (9, 0.096), (10, -0.007), (11, -0.041), (12, 0.0), (13, -0.071), (14, 0.079), (15, -0.01), (16, -0.008), (17, -0.016), (18, 0.036), (19, 0.009), (20, 0.055), (21, -0.097), (22, -0.095), (23, 0.187), (24, 0.104), (25, -0.099), (26, -0.219), (27, 0.072), (28, 0.022), (29, -0.045), (30, -0.045), (31, -0.103), (32, 0.058), (33, -0.046), (34, -0.073), (35, 0.032), (36, -0.098), (37, 0.018), (38, 0.042), (39, -0.073), (40, -0.008), (41, 0.078), (42, -0.007), (43, 0.042), (44, -0.037), (45, -0.07), (46, 0.052), (47, -0.043), (48, 0.004), (49, -0.055)]
simIndex simValue blogId blogTitle
same-blog 1 0.97478527 37 high scalability-2007-07-28-Product: Web Log Storming
Introduction: Web Log Storming is an interactive, desktop-based Web Log Analyzer for Windows. The whole new concept of log analysis makes it clearly different from any other web log analyzer. Browse through statistics to get into details - down to individual visitor's session. Check individual visitor behavior pattern and how it fits into your desired scenario. Web Log Storming does far more than just generate common reports - it displays detailed web site statistics with interactive graphs and reports. Very complete detailed log analysis of activity from every visitor to your web site is only a mouse-click away. In other words, analyze your web logs like never before! It's easy to track sessions, hits, page views, downloads, or whatever metric is most important to each user. You can look at referring pages and see which search engines and keywords were used to bring visitors to the site. Web site behavior, from the top entry and exit pages, to the paths that users follow, can be analyzed. You
2 0.89447612 35 high scalability-2007-07-28-Product: FastStats Log Analyzer
Introduction: FastStats Log Analyzer enables you to: Determine whether your CPC advertising is profitable: Are you spending $0.75 per click on Google or Overture, but only receiving $0.56 per click in revenue? Tune site traffic patterns: FastStats's Hyperlink Tree View feature lets you visually see how traffic flows through your web site. High-performance solution for even the busiest web sites: Our software has been clocked at over 1000 MB/min. Other popular log file analysis tools (we won't name names), run at 1/40th the speed. We've been in the business for over 6 years, delivering value, quality, and good customer service to our clients. Our products are used for data mining at some of the world's busiest web sites -- why not give FastStats a try at your web site? FastStats log file analysis supports a wide variety of web server log files, including Apache logs and Microsoft IIS logs.
3 0.89342976 36 high scalability-2007-07-28-Product: Web Log Expert
Introduction: WebLog Expert is a fast and powerful access log analyzer. It will give you information about your site's visitors: activity statistics, accessed files, paths through the site, information about referring pages, search engines, browsers, operating systems, and more. The program produces easy-to-read HTML reports that include both text information (tables) and charts. View the WebLog Expert sample report to get the general idea of the variety of information about your site's usage it can provide. WebLog Expert can analyze logs of Apache and IIS web servers. It can even read GZ and ZIP compressed logs so you won't need to unpack them manually. The log analyzer features intuitive interface. Built-in wizards will help you quickly and easily create a profile for your site and analyze it.
4 0.86660737 30 high scalability-2007-07-26-Product: AWStats a Log Analyzer
Introduction: AWStats is a free powerful and featureful tool that generates advanced web, streaming, ftp or mail server statistics, graphically. This log analyzer works as a CGI or from command line and shows you all possible information your log contains, in few graphical web pages. It uses a partial information file to be able to process large log files, often and quickly. It can analyze log files from all major server tools like Apache log files (NCSA combined/XLF/ELF log format or common/CLF log format), WebStar, IIS (W3C log format) and a lot of other web, proxy, wap, streaming servers, mail servers and some ftp servers.
Introduction: This is a guest post by Gordon Worley , a Software Engineer at Korrelate , where they correlate (see what they did there) online purchases to offline purchases. Several weeks ago, we came into the office one morning to find every server alarm going off. Pixel log processing was behind by 8 hours and not making headway. Checking the logs, we discovered that a big client had come online during the night and was giving us 10 times more traffic than we were originally told to expect. I wouldn’t say we panicked, but the office was certainly more jittery than usual. Over the next several hours, though, thanks both to foresight and quick thinking, we were able to scale up to handle the added load and clear the backlog to return log processing to a steady state. At Korrelate, we deploy tracking pixels , also known beacons or web bugs, that our partners use to send us information about their users. These tiny web objects contain no visible content, but may include transparent 1 by 1 gif
6 0.81577832 541 high scalability-2009-03-16-Product: Smart Inspect
7 0.77045166 570 high scalability-2009-04-15-Implementing large scale web analytics
8 0.71408725 77 high scalability-2007-08-30-Log Everything All the Time
9 0.69450772 937 high scalability-2010-11-09-Paper: Hyder - Scaling Out without Partitioning
10 0.65697223 304 high scalability-2008-04-19-How to build a real-time analytics system?
11 0.65034944 105 high scalability-2007-10-01-Statistics Logging Scalability
12 0.63468623 449 high scalability-2008-11-24-Product: Scribe - Facebook's Scalable Logging System
13 0.62145454 233 high scalability-2008-01-30-How Rackspace Now Uses MapReduce and Hadoop to Query Terabytes of Data
14 0.58502877 45 high scalability-2007-07-30-Product: SmarterStats
15 0.56501305 553 high scalability-2009-04-03-Collectl interface to Ganglia - any interest?
16 0.54216379 1301 high scalability-2012-08-08-3 Tips and Tools for Creating Reliable Billion Page View Web Services
17 0.52422935 14 high scalability-2007-07-15-Web Analytics: An Hour a Day
18 0.51079738 1196 high scalability-2012-02-20-Berkeley DB Architecture - NoSQL Before NoSQL was Cool
19 0.50240988 1640 high scalability-2014-04-30-10 Tips for Optimizing NGINX and PHP-fpm for High Traffic Sites
20 0.49902114 71 high scalability-2007-08-22-Profiling WEB applications
topicId topicWeight
[(1, 0.177), (2, 0.18), (30, 0.04), (43, 0.247), (61, 0.038), (79, 0.121), (85, 0.086)]
simIndex simValue blogId blogTitle
1 0.93895775 893 high scalability-2010-09-03-Hot Scalability Links For Sep 3, 2010
Introduction: With summer almost gone, it's time to fall into some good links... Hibari - distributed, fault tolerant, highly available key-value store written in Erlang. In this video Scott Lystig Fritchie gives a very good overview of the newest key-value store. Tweets of Gold lenidot : with 12 staff, @ tumblr serves 1.5billion pageviews/month and 25,000 signups/day. Now that's scalability! jmtan24 : Funny that whenever a high scalability article comes out, it always mention the shared nothing approach mfeathers : When life gives you lemons, you can have decades-long conquest to convert lemons to oranges, or you can make lemonade. OyvindIsene : Met an old man with mustache today, he had no opinion on #noSQL . Note to myself: Don't grow a mustache, now or later. vlad003 : Isn't it interesting how P2P distributes data while Cloud Computing centralizes it? And they're both said to be the future. You may be interested in a new DevOps Meetup organized by Dave
2 0.91792011 505 high scalability-2009-02-01-More Chips Means Less Salsa
Introduction: Yes, I just got through watching the Superbowl so chips and salsa are on my mind and in my stomach. In recreational eating more chips requires downing more salsa. With mulitcore chips it turns out as cores go up salsa goes down, salsa obviously being a metaphor for speed. Sandia National Laboratories found in their simulations: a significant increase in speed going from two to four multicores, but an insignificant increase from four to eight multicores. Exceeding eight multicores causes a decrease in speed. Sixteen multicores perform barely as well as two, and after that, a steep decline is registered as more cores are added. The problem is the lack of memory bandwidth as well as contention between processors over the memory bus available to each processor. The implication for those following a diagonal scaling strategy is to work like heck to make your system fit within eight multicores. After that you'll need to consider some sort of partitioning strategy. What's interesti
same-blog 3 0.89829713 37 high scalability-2007-07-28-Product: Web Log Storming
Introduction: Web Log Storming is an interactive, desktop-based Web Log Analyzer for Windows. The whole new concept of log analysis makes it clearly different from any other web log analyzer. Browse through statistics to get into details - down to individual visitor's session. Check individual visitor behavior pattern and how it fits into your desired scenario. Web Log Storming does far more than just generate common reports - it displays detailed web site statistics with interactive graphs and reports. Very complete detailed log analysis of activity from every visitor to your web site is only a mouse-click away. In other words, analyze your web logs like never before! It's easy to track sessions, hits, page views, downloads, or whatever metric is most important to each user. You can look at referring pages and see which search engines and keywords were used to bring visitors to the site. Web site behavior, from the top entry and exit pages, to the paths that users follow, can be analyzed. You
4 0.87540275 1182 high scalability-2012-01-27-Stuff The Internet Says On Scalability For January 27, 2012
Introduction: If you’ve got the time, we’ve got the HighScalability: 9nm : IBM's carbon nanotube transistor that outperforms silicon; YouTube : 4 Billion Views/Day; 864GB RAM : 37signals Memcache, $12K Quotable Quotes: Chad Dickerson : You can only get growth by feeding opportunities. @launchany : It amazes me how many NoSQL database vendors spend more time detailing their scalability and no time detailing the data model and design Google : Let's make TCP faster. WhatsApp : we are now able to easily push our systems to over 2 million tcp connections! Sidney Dekker : In a complex system…doing the same thing twice will not predictably or necessarily lead to the same results. @Rasmusfjord : Just heard about an Umbraco site running on Azure that handles 20.000 requests /*second* Herb Sutter with an epic post, Welcome to the Jungle , touching on a lot of themes we've explored on HighScalability, only in a dramatically more competent way. What's after
5 0.86793834 1624 high scalability-2014-04-01-The Mullet Cloud Selection Pattern
Introduction: In a recent thread on Hacker News one of the commenters mentioned that they use Digital Ocean for personal stuff, but use AWS for business. This DO for personal and AWS for business split has become popular enough that we can now give it a name: the Mullet Cloud Selection Pattern - business on the front and party on the back. Providers like DO are cheap and the lightweight composable container model has an aesthetic appeal to developers. Even though it seems like much of the VM infrastructure has to be reinvented for containers, the industry often follows the lead of developer preference. The mullet is dead. Long live the mullet! Developers are ever restless, always eager to move onto something new.
6 0.86252165 1336 high scalability-2012-10-09-Batoo JPA - The new JPA Implementation that runs over 15 times faster...
7 0.84479654 726 high scalability-2009-10-22-Paper: The Case for RAMClouds: Scalable High-Performance Storage Entirely in DRAM
8 0.83163631 1088 high scalability-2011-07-27-Making Hadoop 1000x Faster for Graph Problems
9 0.82978475 470 high scalability-2008-12-18-Risk Analysis on the Cloud (Using Excel and GigaSpaces)
10 0.82147652 937 high scalability-2010-11-09-Paper: Hyder - Scaling Out without Partitioning
11 0.81178749 1603 high scalability-2014-02-28-Stuff The Internet Says On Scalability For February 28th, 2014
12 0.78271854 720 high scalability-2009-10-12-High Performance at Massive Scale – Lessons learned at Facebook
13 0.77434522 339 high scalability-2008-06-04-LinkedIn Architecture
14 0.77212662 837 high scalability-2010-06-07-Six Ways Twitter May Reach its Big Hairy Audacious Goal of One Billion Users
15 0.76186848 1131 high scalability-2011-10-24-StackExchange Architecture Updates - Running Smoothly, Amazon 4x More Expensive
16 0.75576663 798 high scalability-2010-03-22-7 Secrets to Successfully Scaling with Scalr (on Amazon) by Sebastian Stadil
17 0.75266021 1123 high scalability-2011-09-23-The Real News is Not that Facebook Serves Up 1 Trillion Pages a Month…
19 0.7451008 304 high scalability-2008-04-19-How to build a real-time analytics system?
20 0.74480039 1460 high scalability-2013-05-17-Stuff The Internet Says On Scalability For May 17, 2013