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  • Filtering your offices IPs from Google Analytics when each has a dynamic IP?

    - by leeand00
    I found the documentation for filtering IPs from Google Analytics, but the address of the several locations of our company all have dynamic IP addresses that change every 30 days from what I'm told. I know from working with Dynamic DNS that the provider usually gives you a script that you configure your router to run when it's IP address changes or when it is restarted, which passes the new IP address to the DDNS server. I'm wondering if there might be a way to write or use a preexisting script to do the same thing with the Google Analytics API.

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  • Using Google Webmaster & Analytics, what data to look at to improve website performance?

    - by Rob
    Using data from Google Analytics and Webmaster tools, what data should I be looking at to improve my websites performance? I want to improve the SEO, usability and just general performance of my website. EDIT: It's a portfolio website that we've done the initial SEO for, also optimised all images etc and made the site as fast as possible. What kind of things should I be looking out for in the analytics and webmaster data to improve performance for both the SEO and each individual page.

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  • Google Analytics: How can I traffic and referrals from iPad applications?

    - by kayaker243
    In Google Analytics, there is extensive information on the mobile device, version and browser version. However, this doesn't seem to go beyond the mobile browser. I would like to determine which application is responsible for visits to my site. Specifically, I want to know how many visits are coming from zite. http://www.handsetdetection.com/properties/vendormodel/Apple/iPad/page:4 seems to indicate this information is probably available, where/does Google Analytics expose this?

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  • What is an easy way to see how often recently added pages are viewed in google analytics?

    - by cboettig
    Google Analytics makes it very easy to see the number of views of the most-viewed pages, but I cannot figure out how to see the number of views a particular page has received, or the number of views of recently added pages (e.g. blog posts). Is it possible to sort the pageviews list by date the page was added? Can this be done without having to externally create a list of recent pages and use the analytics API?

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  • Posterous instructions for adding Google Analytics do not cover the code snippet to be pasted in the <head>

    - by Kit
    The Posterous instructions for adding Google Analytics ends with pasting the Google Analytics Domain ID into the settings page. However, the instructions given by Google tell me to paste some JavaScript code into the <head>. How do I get around with this? Do I need to paste the JavaScript code? If I do need to paste the JavaScript code, can I just paste it into the custom HTML/CSS style specification of my Posterous Space?

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  • Predictive firing (in a tile-based game)

    - by n00bster
    I have a (turn-based) tile-based game, in which you can shoot at entities. You can move around with mouse and keyboard, it's all tile-based, except that bullets move "freely". I've got it all working just fine except that when I move, and the creatures shoot towards the player, they shoot towards the previous tiles.. resulting in ugly looking "miss hits" or lag. I think I need to implement some kind of predictive firing based on the bullet speed and the distance, but I don't quite know how to implement such a thing... Here's a simplified snip of my firing code. class Weapon { public void fire(int x, int y) { ... ... ... Creature owner = getOwner(); Tile targetTile = Zone.getTileAt(x, y); float dist = Vector.distance(owner.getCenterPosition(), targetTile.getCenterPosition()); Bullet b = new Bullet(); b.setPosition(owner.getCenterPosition()); // Take dist into account in the duration to get constant speed regardless of distance float duration = dist / 600f; // Moves the bullet to the centre of the target tile in the given amount of time (in seconds) b.moveTo(targetTile.getCenterPosition(), duration); // This is what I'm after // Vector v = predict the position // b.moveTo(v, duration); Zone.add(bullet); // Now the bullet gets "ticked" and moveTo will be implemented } } Movement of creatures is as simple as setting the position variable. If you need more information, just ask.

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  • OS Analytics - Deep Dive Into Your OS

    - by Eran_Steiner
    Enterprise Manager Ops Center provides a feature called "OS Analytics". This feature allows you to get a better understanding of how the Operating System is being utilized. You can research the historical usage as well as real time data. This post will show how you can benefit from OS Analytics and how it works behind the scenes. We will have a call to discuss this blog - please join us!Date: Thursday, November 1, 2012Time: 11:00 am, Eastern Daylight Time (New York, GMT-04:00)1. Go to https://oracleconferencing.webex.com/oracleconferencing/j.php?ED=209833067&UID=1512092402&PW=NY2JhMmFjMmFh&RT=MiMxMQ%3D%3D2. If requested, enter your name and email address.3. If a password is required, enter the meeting password: oracle1234. Click "Join". To join the teleconference:Call-in toll-free number:       1-866-682-4770  (US/Canada)      Other countries:                https://oracle.intercallonline.com/portlets/scheduling/viewNumbers/viewNumber.do?ownerNumber=5931260&audioType=RP&viewGa=true&ga=ONConference Code:       7629343#Security code:            7777# Here is quick summary of what you can do with OS Analytics in Ops Center: View historical charts and real time value of CPU, memory, network and disk utilization Find the top CPU and Memory processes in real time or at a certain historical day Determine proper monitoring thresholds based on historical data View Solaris services status details Drill down into a process details View the busiest zones if applicable Where to start To start with OS Analytics, choose the OS asset in the tree and click the Analytics tab. You can see the CPU utilization, Memory utilization and Network utilization, along with the current real time top 5 processes in each category (click the image to see a larger version):  In the above screen, you can click each of the top 5 processes to see a more detailed view of that process. Here is an example of one of the processes: One of the cool things is that you can see the process tree for this process along with some port binding and open file descriptors. On Solaris machines with zones, you get an extra level of tabs, allowing you to get more information on the different zones: This is a good way to see the busiest zones. For example, one zone may not take a lot of CPU but it can consume a lot of memory, or perhaps network bandwidth. To see the detailed Analytics for each of the zones, simply click each of the zones in the tree and go to its Analytics tab. Next, click the "Processes" tab to see real time information of all the processes on the machine: An interesting column is the "Target" column. If you configured Ops Center to work with Enterprise Manager Cloud Control, then the two products will talk to each other and Ops Center will display the correlated target from Cloud Control in this table. If you are only using Ops Center - this column will remain empty. Next, if you view a Solaris machine, you will have a "Services" tab: By default, all services will be displayed, but you can choose to display only certain states, for example, those in maintenance or the degraded ones. You can highlight a service and choose to view the details, where you can see the Dependencies, Dependents and also the location of the service log file (not shown in the picture as you need to scroll down to see the log file). The "Threshold" tab is particularly helpful - you can view historical trends of different monitored values and based on the graph - determine what the monitoring values should be: You can ask Ops Center to suggest monitoring levels based on the historical values or you can set your own. The different colors in the graph represent the current set levels: Red for critical, Yellow for warning and Blue for Information, allowing you to quickly see how they're positioned against real data. It's important to note that when looking at longer periods, Ops Center smooths out the data and uses averages. So when looking at values such as CPU Usage, try shorter time frames which are more detailed, such as one hour or one day. Applying new monitoring values When first applying new values to monitored attributes - a popup will come up asking if it's OK to get you out of the current Monitoring Policy. This is OK if you want to either have custom monitoring for a specific machine, or if you want to use this current machine as a "Gold image" and extract a Monitoring Policy from it. You can later apply the new Monitoring Policy to other machines and also set it as a default Monitoring Profile. Once you're done with applying the different monitoring values, you can review and change them in the "Monitoring" tab. You can also click the "Extract a Monitoring Policy" in the actions pane on the right to save all the new values to a new Monitoring Policy, which can then be found under "Plan Management" -> "Monitoring Policies". Visiting the past Under the "History" tab you can "go back in time". This is very helpful when you know that a machine was busy a few hours ago (perhaps in the middle of the night?), but you were not around to take a look at it in real time. Here's a view into yesterday's data on one of the machines: You can see an interesting CPU spike happening at around 3:30 am along with some memory use. In the bottom table you can see the top 5 CPU and Memory consumers at the requested time. Very quickly you can see that this spike is related to the Solaris 11 IPS repository synchronization process using the "pkgrecv" command. The "time machine" doesn't stop here - you can also view historical data to determine which of the zones was the busiest at a given time: Under the hood The data collected is stored on each of the agents under /var/opt/sun/xvm/analytics/historical/ An "os.zip" file exists for the main OS. Inside you will find many small text files, named after the Epoch time stamp in which they were taken If you have any zones, there will be a file called "guests.zip" containing the same small files for all the zones, as well as a folder with the name of the zone along with "os.zip" in it If this is the Enterprise Controller or the Proxy Controller, you will have folders called "proxy" and "sat" in which you will find the "os.zip" for that controller The actual script collecting the data can be viewed for debugging purposes as well: On Linux, the location is: /opt/sun/xvmoc/private/os_analytics/collect On Solaris, the location is /opt/SUNWxvmoc/private/os_analytics/collect If you would like to redirect all the standard error into a file for debugging, touch the following file and the output will go into it: # touch /tmp/.collect.stderr   The temporary data is collected under /var/opt/sun/xvm/analytics/.collectdb until it is zipped. If you would like to review the properties for the Analytics, you can view those per each agent in /opt/sun/n1gc/lib/XVM.properties. Find the section "Analytics configurable properties for OS and VSC" to view the Analytics specific values. I hope you find this helpful! Please post questions in the comments below. Eran Steiner

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  • Google Analytics se rapproche des Google Apps, des scripts génèrent automatiquement des rapports d'analyse d'audience

    Google Analytics se rapproche des Google Apps Des scripts génèrent automatiquement des rapports d'analyse d'audience avec les outils bureautiques en ligne Dans un billet du blog officiel de Google Analytics, Google vient d'annoncer la sortie d'une nouvelle fonctionnalité dans Google Analytics qui permettra d'intégrer plus facilement les données du service d'analyse d'audience Web dans un script Google Apps, une fonctionnalité qui d'après Google était très demandée par les utilisateurs. Les produits concernés sont Google Docs, Sites et Spreadsheets. On peut voir comme illustré ci-dessus, comment les données de Google Analytics ont été capturées par un script Google Apps et affichées dans ...

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  • Behind the Code: The Analytics Mobile SDK

    Behind the Code: The Analytics Mobile SDK The new Google Analytics Mobile SDK empowers Android and iOS developers to effectively collect user engagement data from their applications to measure active user counts, user geography, new feature adoption and many other useful metrics. Join Analytics Developer Program Engineer Andrew Wales and Analytics Software Engineer Jim Cotugno for an unprecedented look behind the code at the goals, design, and architecture of the new SDK to learn more about what it takes to build world-class technology. From: GoogleDevelopers Views: 0 1 ratings Time: 30:00 More in Science & Technology

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  • Analytics: Test events not showing up - how to troubleshoot?

    - by David Parks
    I've got 3 profiles: Master, Raw Data, and Test, on the Test profile I have no filters configured. I want to test using some events. I created a local HTML file as shown below to generate some test data that I could play with in Analytics. But the events never showed up in Analytics. I wonder what I might be doing wrong? Is the lack of a domain an issue maybe? <html><head></head><body>Login_popup_complete_Facebook <script type="text/javascript"> var _gaq = _gaq || []; _gaq.push(['_setAccount', 'UA-28554309-1']); _gaq.push(['_trackPageview']); _gaq.push(['_trackEvent', 'Login popup completed', 'Facebook']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); </script> </body></html>

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  • Google Analytics async=true seems wrong in the Google documentation?

    - by leeand00
    In the Google Analytics async example, they state that in order to include more than one tracker, you need to setup your pages for asyncrous tracking, and they do so using the following code: <script type="text/javascript"> _gaq.push( ['_setAccount', 'UA-XXXXX-1'], ['_trackPageview'], ['b._setAccount', 'UA-XXXXX-2'], ['b._trackPageview'] ); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); </script> The second tracker is not receiving any results. After looking at my tracking codes to ensure they are correct, I noticed that the ga.async = true statement is specified differently most of the time and is never set to a value of true, it's often set to async but never true. Could this be stopping my Analytics data from posting to the second tracker? or might it be something else? Also what calls should I look for in the Net tab in firebug to ensure that GA is being called when the page loads?

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  • Is there an elegant way to track multiple domains under separate accounts with google analytics?

    - by J_M_J
    I have a situation where a content management system uses the same template for multiple websites with different domain names and I can't make a separate template for each. However, each website needs to be tracked with Google analytics. Would this be appropriate to track each domain like this by putting in some conditional code? And would this be robust enough not to break? Is there a more elegant way to do this? <script type="text/javascript"> var _gaq = _gaq || []; switch (location.hostname){ case 'www.aaa.com': _gaq.push(['_setAccount', 'UA-xxxxxxx-1']); break; case 'www.bbb.com': _gaq.push(['_setAccount', 'UA-xxxxxxx-2']); break; case 'www.ccc.com': _gaq.push(['_setAccount', 'UA-xxxxxxx-3']); break; } _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; (document.getElementsByTagName('head')[0] || document.getElementsByTagName('body')[0]).appendChild(ga); })(); </script> Just to be clear, each website is a separate domain name and must be tracked separately, NOT different domains with same pages on one analytics profile.

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  • Google Analytics API data for goals (funnels) doesn't match - how do they reconcile?

    - by bkgraham
    I have a Google Analytics account with a well-functioning funnel made up of 4 goals. I can query the API and get the data out, but it does not match the funnel report in Analytics. Without getting into specific values, I can give you an example with faked data. Here's how the funnel might look: Shopping Cart 100 > 100 > 20 80 (80%) Address Page 5 > 85 > 25 60 (71%) Payment Page 2 > 62 > 10 52 (84%) Checkout 1 > 53 (49.07% funnel conversion rate) Okay, so you would expect the API to output data something like this: goal1Starts goal1Completions goal1Abandons 100 80 20 goal2Starts goal2Completions goal2Abandons 85 60 25 goal3Starts goal3Completions goal3Abandons 62 52 10 goal4Starts goal4Completions goal4Abandons 53 53 0 Instead, it's different. Firstly, the abandons are associated with the following goal (so goal1 always has 0 abandons and goal4 always has 0 abandons. Okay, I can work with that. What's confusing is that the numbers are always a little different. The goal1Completions always match the report, as do the goal4Completions, but everything else is off by a small amount. Sometimes it's only 2 visits, other times it's off by 50. For the report above here's the kind of results I would tend to get: goal1Starts goal1Completions goal1Abandons 100 100 0 goal2Starts goal2Completions goal2Abandons 105 84 21 goal3Starts goal3Completions goal3Abandons 90 65 25 goal4Starts goal4Completions goal4Abandons 58 53 5 Here's what I know: Goal(n)Completions + Goal(n)Abandons = Goal(n)Starts Goal(n)Starts = Goal(n-1)Completions Goal(n)Starts - Goal(n-1)Completions != reported number entering at that level That third one is particularly disappointing. So, here's my question: What data do I need to pull from the API in order to recreate the counts in the Funnel report in Google Analytics? I don't need the pages exited to entering from - just the counts at every level.

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  • Problem with Google Analytics for Android : "Dispatcher thinks it finished, but there were 543 faile

    - by PHP_Jedi
    Anyone know how to solve this problem? 03-23 13:03:20.585: WARN/googleanalytics(3430): Problem with socket or streams. 03-23 13:03:20.585: WARN/googleanalytics(3430): java.net.SocketException: Broken pipe 03-23 13:03:20.585: WARN/googleanalytics(3430): at org.apache.harmony.luni.platform.OSNetworkSystem.sendStreamImpl(Native Method) 03-23 13:03:20.585: WARN/googleanalytics(3430): at org.apache.harmony.luni.platform.OSNetworkSystem.sendStream(OSNetworkSystem.java:498) 03-23 13:03:20.585: WARN/googleanalytics(3430): at org.apache.harmony.luni.net.PlainSocketImpl.write(PlainSocketImpl.java:585) 03-23 13:03:20.585: WARN/googleanalytics(3430): at org.apache.harmony.luni.net.SocketOutputStream.write(SocketOutputStream.java:59) 03-23 13:03:20.585: WARN/googleanalytics(3430): at org.apache.http.impl.io.AbstractSessionOutputBuffer.flushBuffer(AbstractSessionOutputBuffer.java:87) 03-23 13:03:20.585: WARN/googleanalytics(3430): at org.apache.http.impl.io.AbstractSessionOutputBuffer.flush(AbstractSessionOutputBuffer.java:94) 03-23 13:03:20.585: WARN/googleanalytics(3430): at org.apache.http.impl.AbstractHttpClientConnection.doFlush(AbstractHttpClientConnection.java:168) 03-23 13:03:20.585: WARN/googleanalytics(3430): at org.apache.http.impl.AbstractHttpClientConnection.flush(AbstractHttpClientConnection.java:173) 03-23 13:03:20.585: WARN/googleanalytics(3430): at com.google.android.apps.analytics.PipelinedRequester.sendRequests(Unknown Source) 03-23 13:03:20.585: WARN/googleanalytics(3430): at com.google.android.apps.analytics.NetworkDispatcher$DispatcherThread$AsyncDispatchTask.dispatchSomePendingEvents(Unknown Source) 03-23 13:03:20.585: WARN/googleanalytics(3430): at com.google.android.apps.analytics.NetworkDispatcher$DispatcherThread$AsyncDispatchTask.run(Unknown Source) 03-23 13:03:20.585: WARN/googleanalytics(3430): at android.os.Handler.handleCallback(Handler.java:587) 03-23 13:03:20.585: WARN/googleanalytics(3430): at android.os.Handler.dispatchMessage(Handler.java:92) 03-23 13:03:20.585: WARN/googleanalytics(3430): at android.os.Looper.loop(Looper.java:123) 03-23 13:03:20.585: WARN/googleanalytics(3430): at android.os.HandlerThread.run(HandlerThread.java:60) 03-23 13:03:21.088: WARN/googleanalytics(3430): Dispatcher thinks it finished, but there were 543 failed events Specially the last line explain why there is lost so much data, as the dispatcher thinks it is done, but have 543 events not dispatched... The application have a good internet connection and there is no problem reaching the app server-side api. I see in analytics that lots of startups and click-events the past few days are lost, even I know the traffic is normal since i can see statistics from the the server api. In the analytics reports I see a day by day under-reporting. So the problems seems to be spreading/growing to all the devices using this application. Im wondering why google does not answer this in their mail-groups - several people have complained about this...well, well... I found this thread relevant: http://stackoverflow.com/questions/682560/java-net-socketexception-broken-pipe But, I'm still not sure if there is anything I can do to fix it or not. If there is nothing I can do to fix it, I guess its not my fault that it got broken. But i got a feeling it is, since the problem got dramatically worse on the last deploy to Android market. Anyone else with experience on Google Analytics for android ?

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  • Google Analytics API Authentication Speedup

    - by Paulo
    I'm using a Google Analytics API Class in PHP made by Doug Tan to retrieve Analytics data from a specific profile. Check the url here: http://code.google.com/intl/nl/apis/analytics/docs/gdata/gdataArticlesCode.html When you create a new instance of the class you can add the profile id, your google account + password, a daterange and whatever dimensions and metrics you want to pick up from analytics. For example i want to see how many people visited my website from different country's in 2009. //make a new instance from the class $ga = new GoogleAnalytics($email,$password); //website profile example id $ga->setProfile('ga:4329539'); //date range $ga->setDateRange('2010-02-01','2010-03-08'); //array to receive data from metrics and dimensions $array = $ga->getReport( array('dimensions'=>('ga:country'), 'metrics'=>('ga:visits'), 'sort'=>'-ga:visits' ) ); Now you know how this API class works, i'd like to adress my problem. Speed. It takes alot of time to retrieve multiple types of data from the analytics database, especially if you're building different arrays with different metrics/dimensions. How can i speed up this process? Is it possible to store all the possible data in a cache so i am able to retrieve the data without loading it over and over again?

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  • XMLHttpRequest() and Google Analytics Tracking

    - by sjw
    I have implemented an XMLHttpRequest() call to a standalone html page which simply has an html, title & body tag which Google Analytics Tracking code. I want to track when someone makes a request to display information (i.e. phone number) to try and understand what portion of people look at my directory versus obtaining a phone number to make a call. It is very simple code: var xhReq = new XMLHttpRequest(); xhReq.open("GET", "/registerPhoneClick.htm?id=" + id, false); xhReq.send(null); var serverResponse = xhReq.responseText Yet I cannot see the "hit" in Analytics... Has anyone had this issue? All the analytics tracking code does is call: <script type="text/javascript"> var gaJsHost = (("https:" == document.location.protocol) ? "https://ssl." : "http://www."); document.write(unescape("%3Cscript src='" + gaJsHost + "google-analytics.com/ga.js' type='text/javascript'%3E%3C/script%3E")); </script> <script type="text/javascript"> try { var pageTracker = _gat._getTracker("UA-XXXXXXX"); pageTracker._trackPageview(); } catch(err) {}</script> So realistically, my XmlHTTPRequest() calls an htm file within which a script is execute to make an outbound call to Google Analytics. Is there any reason why an XmlHTTPRequest() would not execute this? Does an XmlHTTPRequest() still bring the code to the client before execution? Help Please

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  • Integrate Google Analytics Tracking Into IOS App

    - by user1781040
    I would like to Integrate Google Analytics Tracking into my IOS APP. I have integrated Google Analytics Library and Add It To my Application. cf. https://developers.google.com/analytics/devguides/collection/ios/v2/ into my code to tracking my view contact - (void)viewDidLoad { [super viewDidLoad]; // Do any additional setup after loading the view from its nib. self.trackPageView = @"Contact Screen"; // } A have this error "Property 'TrackPageView' not found on object of the type 'ContactViewController'" Please help me

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  • Financial institutions build predictive models using Oracle R Enterprise to speed model deployment

    - by Mark Hornick
    See the Oracle press release, Financial Institutions Leverage Metadata Driven Modeling Capability Built on the Oracle R Enterprise Platform to Accelerate Model Deployment and Streamline Governance for a description where a "unified environment for analytics data management and model lifecycle management brings the power and flexibility of the open source R statistical platform, delivered via the in-database Oracle R Enterprise engine to support open standards compliance." Through its integration with Oracle R Enterprise, Oracle Financial Services Analytical Applications provides "productivity, management, and governance benefits to financial institutions, including the ability to: Centrally manage and control models in a single, enterprise model repository, allowing for consistent management and application of security and IT governance policies across enterprise assets Reuse models and rapidly integrate with applications by exposing models as services Accelerate development with seeded models and common modeling and statistical techniques available out-of-the-box Cut risk and speed model deployment by testing and tuning models with production data while working within a safe sandbox Support compliance with regulatory requirements by carrying out comprehensive stress testing, which captures the effects of adverse risk events that are not estimated by standard statistical and business models. This approach supplements the modeling process and supports compliance with the Pillar I and the Internal Capital Adequacy Assessment Process stress testing requirements of the Basel II Accord Improve performance by deploying and running models co-resident with data. Oracle R Enterprise engines run in database, virtually eliminating the need to move data to and from client machines, thereby reducing latency and improving security"

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  • Google Analytics - Google Adwords [closed]

    - by Fiona
    Hi there, I have a number of Google Analytics accounts. I also have one adwords account. At the moment I've linked my adwords to one of my GA accounts. However I'd like to link to my other GA accounts. Can this be done? and if so how? Thanks, Fiona

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  • OS Analytics with Oracle Enterprise Manager (by Eran Steiner)

    - by Zeynep Koch
    Oracle Enterprise Manager Ops Center provides a feature called "OS Analytics". This feature allows you to get a better understanding of how the Operating System is being utilized. You can research the historical usage as well as real time data. This post will show how you can benefit from OS Analytics and how it works behind the scenes. The recording of our call to discuss this blog is available here: https://oracleconferencing.webex.com/oracleconferencing/ldr.php?AT=pb&SP=MC&rID=71517797&rKey=4ec9d4a3508564b3Download the presentation here See also: Blog about Alert Monitoring and Problem Notification Blog about Using Operational Profiles to Install Packages and other content Here is quick summary of what you can do with OS Analytics in Ops Center: View historical charts and real time value of CPU, memory, network and disk utilization Find the top CPU and Memory processes in real time or at a certain historical day Determine proper monitoring thresholds based on historical data Drill down into a process details Where to start To start with OS Analytics, choose the OS asset in the tree and click the Analytics tab. You can see the CPU utilization, Memory utilization and Network utilization, along with the current real time top 5 processes in each category (click the image to see a larger version):  In the above screen, you can click each of the top 5 processes to see a more detailed view of that process. Here is an example of one of the processes: One of the cool things is that you can see the process tree for this process along with some port binding and open file descriptors. Next, click the "Processes" tab to see real time information of all the processes on the machine: An interesting column is the "Target" column. If you configured Ops Center to work with Enterprise Manager Cloud Control, then the two products will talk to each other and Ops Center will display the correlated target from Cloud Control in this table. If you are only using Ops Center - this column will remain empty. The "Threshold" tab is particularly helpful - you can view historical trends of different monitored values and based on the graph - determine what the monitoring values should be: You can ask Ops Center to suggest monitoring levels based on the historical values or you can set your own. The different colors in the graph represent the current set levels: Red for critical, Yellow for warning and Blue for Information, allowing you to quickly see how they're positioned against real data. It's important to note that when looking at longer periods, Ops Center smooths out the data and uses averages. So when looking at values such as CPU Usage, try shorter time frames which are more detailed, such as one hour or one day. Applying new monitoring values When first applying new values to monitored attributes - a popup will come up asking if it's OK to get you out of the current Monitoring Policy. This is OK if you want to either have custom monitoring for a specific machine, or if you want to use this current machine as a "Gold image" and extract a Monitoring Policy from it. You can later apply the new Monitoring Policy to other machines and also set it as a default Monitoring Profile. Once you're done with applying the different monitoring values, you can review and change them in the "Monitoring" tab. You can also click the "Extract a Monitoring Policy" in the actions pane on the right to save all the new values to a new Monitoring Policy, which can then be found under "Plan Management" -> "Monitoring Policies". Visiting the past Under the "History" tab you can "go back in time". This is very helpful when you know that a machine was busy a few hours ago (perhaps in the middle of the night?), but you were not around to take a look at it in real time. Here's a view into yesterday's data on one of the machines: You can see an interesting CPU spike happening at around 3:30 am along with some memory use. In the bottom table you can see the top 5 CPU and Memory consumers at the requested time. Very quickly you can see that this spike is related to the Solaris 11 IPS repository synchronization process using the "pkgrecv" command. The "time machine" doesn't stop here - you can also view historical data to determine which of the zones was the busiest at a given time: Under the hood The data collected is stored on each of the agents under /var/opt/sun/xvm/analytics/historical/ An "os.zip" file exists for the main OS. Inside you will find many small text files, named after the Epoch time stamp in which they were taken If you have any zones, there will be a file called "guests.zip" containing the same small files for all the zones, as well as a folder with the name of the zone along with "os.zip" in it If this is the Enterprise Controller or the Proxy Controller, you will have folders called "proxy" and "sat" in which you will find the "os.zip" for that controller The actual script collecting the data can be viewed for debugging purposes as well: On Linux, the location is: /opt/sun/xvmoc/private/os_analytics/collect If you would like to redirect all the standard error into a file for debugging, touch the following file and the output will go into it: # touch /tmp/.collect.stderr   The temporary data is collected under /var/opt/sun/xvm/analytics/.collectdb until it is zipped. If you would like to review the properties for the Analytics, you can view those per each agent in /opt/sun/n1gc/lib/XVM.properties. Find the section "Analytics configurable properties for OS and VSC" to view the Analytics specific values. I hope you find this helpful! Please post questions in the comments below. Eran Steiner

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  • Telerik is First to Announce Support for Microsoft Silverlight Analytics Framework

    Yesterday at MIX 10 conference Microsoft announced the Microsoft Silverlight Analytics Framework Beta. The Silverlight Analytics Framework (SAF) is a new open-source framework to allow designers and developers to integrate web analytics into Silverlight applications in a consistent manner. Supporting out-of-browser and offline scenarios, Microsoft built this framework in conjunction with a number of web analytics services and control vendors to support multiple analytics services simultaneously without degrading application performance. Because the SAF is enabled as a set of behaviors in Microsoft Expression Blend, designers and developers can visually instrument their designs and configure A/B testing rapidly without writing any code. Telerik is proud to be the first control vendor to support the Silverlight Analytics Framework. RadControls for Silverlight can be used with the framework out of the box. The suite offers Silverlight Analytics Framework handlers and behavior, helping developers to fine tune the values sent to the analytics providers. Because the analytics framework is using the Managed Extensibility Framework (MEF) for composition, you don't need to change the way you use the controls to benefit from the Telerik handlers. Just add a reference to the Telerik assemblies that contains the handlers. Here is the code that you need to declare to use RadTreeView: <UserControl x:Class="Telerik.SLAF.MainPage"         xmlns="http://schemas.microsoft.com/winfx/2006/xaml/presentation"         xmlns:x="http://schemas.microsoft.com/winfx/2006/xaml"         xmlns:i="clr-namespace:System.Windows.Interactivity;assembly=System.Windows.Interactivity"         xmlns:ga="clr-namespace:Google.WebAnalytics;assembly=Google.WebAnalytics"         xmlns:sa="clr-namespace:Microsoft.WebAnalytics.Behaviors;assembly=Microsoft.WebAnalytics.Behaviors"         xmlns:ic="clr-namespace:Microsoft.Expression.Interactivity.Core;assembly=Microsoft.Expression.Interactions"         xmlns:mc="http://schemas.openxmlformats.org/markup-compatibility/2006"         xmlns:telerikNavigation="clr-namespace:Telerik.Windows.Controls;assembly=Telerik.Windows.Controls.Navigation">        <Grid x:Name="LayoutRoot">         <i:Interaction.Behaviors>             <ga:GoogleAnalytics ProfileId="--Your GA ProfileId" Category="Demo" />         </i:Interaction.Behaviors>         <telerikNavigation:RadTreeView>             <i:Interaction.Triggers>                 <i:EventTrigger EventName="SelectionChanged">                     <sa:TrackAction />                 </i:EventTrigger>             </i:Interaction.Triggers>             <telerikNavigation:RadTreeViewItem Header="Item1">             </telerikNavigation:RadTreeViewItem>             <telerikNavigation:RadTreeViewItem Header="Item2" />             <telerikNavigation:RadTreeViewItem Header="Item3" />         </telerikNavigation:RadTreeView>     </Grid> </UserControl> Download the Telerik Microsoft Silverlight Analytics Framework Handlers and the sample project. This is our first Beta release - please drop us a line with any feedback you have or even better if you are at MIX10 - come visit us at the booth in the "Commons" hall so we can discuss it in person. Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

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  • Oracle Business Analytics bejelentés

    - by user645740
    Jelenleg is zajlik az Oracle Business Analytics bejelentés. Rövid regisztrációt követoen megnézhetjük az eloadásokat, késobb akár felvételrol is: http://www.oracle.com/us/corporate/events/business-analytics/index.html Klasszikusokkal szólva: "Mi már nem azok a lovagok vagyunk, akik azt mondják, hogy NI!" Mark Hurd és Balaji Yelamanchili világítja meg az Oracle stratégiáját a Business Analytics területen. Hogyan tudnak a döntéshozók eredményeebben és gyorsabban elemezni. Business Analytics, tervezett célrendszerek Exadata Database Machine, Big Data Appliance, Exalytics In-Memory Machine, teljesítménymenedzsment alkalmazások, az Endeca felvásárlás integrációja. A keynote utáni eloadások: Achieving Predictable Performance with Oracle Hyperion Enterprise Performance Management Explore All Relevant Data—Introducing Oracle Endeca Information Discovery Run Your Business Faster and Smarter with Oracle Business Intelligence Applications on Oracle Exalytics In-Memory Machine Analyzing and Deciding with Big Data http://www.oracle.com/us/corporate/events/business-analytics/index.html

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  • What's New in OIC Analytics 11g?

    - by LuciaC
    Oracle Incentive Compensation (OIC) Analytics for Oracle Data Integrator (ODI) breaks down traditional front and back office silos bringing together sales performance data with those responsible for the sale and selling costs. It is a framework for Sales Performance Management  based on a data mart of key performance metrics regardless of whether or not these metrics are incentivized.Commissionable metrics are brought into OIC for commission calculation and brought back to enrich the performance data mart.  Executives and Product Marketing/Product Line Managers are provided with actionable sales performance analytics.  Incentivized salesreps and partners are provided with commission dashboards on a frequent basis to inform them how they are doing and how far they are from their goals.OIC Analytics is now certified with 11g and has additional features.  Oracle continues to invest in OIC Analytics but the baseline for the investments will be the 11gR1 certification version of OIC Analytics.  Read about what's new and the certification details in Doc ID 1590729.1.

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