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  • What's the easiest way to duplicate a portion of a directory structure onto an external drive?

    - by Jon Cage
    I'm trying to move a large chunk of data from one of our servers onto an external drive for delivery to Amazon glacier storage. To do that, I'd like to copy a chunk of the server, preserving the directory structure. I.e. move this: \\MyServer\Some\Longwinded\Path\TheDataIWantToCopy \\MyServer\Some\Longwinded\Path\TheDataIWantToCopy\First bit of data\DataFile1.dat to this: D:\ D:\First bit of data\DataFile1.dat

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  • Windows Server not installing audio drivers properly

    - by Adrian
    I am trying to install a dummy sound card on a Windows Server machine (in Amazon EC2 cloud) in order for one of my application to work. I'm trying to accomplish that with Virtual Audio Cable and REAUDIO3. Both tools managed to install a new device on my Windows XP machine, but on Windows Server, no new devices appear. Windows Audio and Plug and Play services are Started and Automatic. ANY ideas are greatly appreciated.

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  • What's the easiest way to auto-backup an EC2 instance?

    - by ripper234
    I have an EBS-backed Amazon EC2 instance. I would like to create a daily backup schedule, and keep, say, a week's worth of daily backups, plus a few older images (from 2,3,4 weeks ago). I don't mind creating the backups on the fly, with the snapshot mechanism, but I would like an easy wrapper to manage it for me. What is the simplest way to set this up? How much would this cost me, for a micro instance?

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  • Cannot access the EC2 server - permissions problems, ssh is dead

    - by user1494072
    One of our developers worked on a beta server and accidentally changed the permissions of the whole system (chmod /) to root. Due to that, services are unable to access files, and we can't ssh to the machine (permission denied on the key) (UPDATE: ssh is dead after reboot, probably can't start). Does Amazon has an option to browse files / physically access the machine? Any other creative solution?

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  • DNS Setting keeps changing on me

    - by Chiggins
    So on my Windows Server 2008 box, I have a DNS server installed on it. For some reason, every ten minutes or so, the Host (A) address for the computer keeps on changing to its internal private IP address. I want it to have its public address for Active Directory purposes, but it keeps changing itself back to the private IP address. Any idea as to why, and how to change it? If it makes a difference, this is an Amazon EC2 server. Thanks

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  • Do any clouds support SSD storage?

    - by taw
    I'm using Amazon cloud right now, and the biggest performance issue is horrible I/O performance. As long as something fits RAM it's fine - once it's too big it gets ridiculously slow (in many different scenarios). There are only so many ways one can avoid hitting disk - so the question is - does Amazon or some other cloud provide SSD option?

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  • Customizing the look of S3 expiring urls

    - by Gregoriy
    Creating expiring links for Amazon S3 buckets, could I somehow change the name of AWSAccessKeyId to something else (to custom it, to speak so) so that not to disclose the use of Amazon in my web applications? For now, it looks like so: http://video.mysite.com/T154456.flv?AWSAccessKeyId=1ESOMESPECIALIDJJAKJ6RA82&Expires=1241372284&Signature=ddfr%2BlkoSEPAL%2BGbMwlMzj6q%2BCY%3D Or, in order to not open another question, what are other (tricky?) ways to expire S3 links without the use of proxy?

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  • How do I get jquery & mootools to play nice?

    - by Vic
    I've been using Mootools 1.2.4 as my JS framework of choice. I've added Checkout by Amazon to one of my pages, and they inject jQuery 1.2.6 into the page and messes up my dollar function (among other things). I have control over Mootools, but not jQuery. I would rather not rewrite my existing code to accomodate jQuery since Checkout by Amazon was an afterthought and plug-in element. Any thoughts or suggestions are recommended. Thanks!

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  • Websites down EC2 inaccessible via SSH CPU utilisation 100% last few hours - what should I do?

    - by fuzzybee
    I have multiple websites hosted on 1 single EC2 instance. 1 website "abc" were down for a few hours, sometimes threw database connection error and sometimes just took too long to respond. 1 website "def" were incredibly slow but still up and running the rest of the websites had the same symptoms has "abc" I can afford 15 min or less down time for "def". Should I then (in AWS console) reboot my instance or create an AMI image from my instance and launch it and associate my elastic IP to the new instance or "launch more like this" Background on what may have happened to my ec2 The last time I made changes for 21 hours ago. A cronjob to create snapshots ran around 19 hours ago and it has been running for a long time. Google Analytics shows traffic to my websites such as kidlander.sg has been nothing exceptional. Is there any other actions I should take or better options I could have? (I have already contacted AWS support but their turnaround is 12 hours so I appreciate all the help I could get) Update I got everything back up and running and CPU utilisation back to normal, around 30%. There is 1 difference between "def" and "abc" as well as my other websites "def"'s database is hosted on RDS "abc"'s database is hosted on an EC2 instance (different from my web server instance) configured by myself Nevertheless, I checked the EC2 instance I'm using as MySQL server yesterday and it was absolutely fine during the incident low CPU ultilisation I could log in using linux command line

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  • Migrating to AWS Cloud with auto-scaling - where to put Redis and ElasticSearch?

    - by RobMasters
    I've been trying to research this topic but haven't found anywhere that recommends where to install services such as Redis and ElasticSearch when migrating to a cloud framework. I'm currently running a Symfony2 application on 2 static servers - one is running MySQL and the other is the public facing web server, which also has Redis and ElasticSearch running on it. Both of these servers are virtualised, but they're static in terms of not being able to replicate at present (various aspects are still dependent on the local filesystem). The goal is to migrate to AWS and use auto-scaling to be able to spin up and kill web servers as required, but I'm not clear on what I should put on each EC2 instance. Should they be single-responsibility only? i.e. Set up individual instances for the web server(s), Redis, and ElasticSearch and most likely an RDS instance for MySQL and only set up auto-scaling on the web server(s)? I don't foresee having to scale the ElasticSearch server anytime soon as it's only driving the search functionality, but it's possible that Redis may need to be replicated at some point - but should this be done manually? I'm not sure of how this could be done automatically as each instance needs to be configured to know about it's master/slave(s) as far as I know. I'd appreciate advice on this. One more quick question while I'm here - how would I be able to deploy code changes when there are X web servers currently active? I'm using a Capifony deployment script (Symfony2 version of Capistrano), which I think can handle multiple servers easily enough by specifying an array of :domain addresses...but how can should this be handled when the number of web servers can vary?

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  • OSMF seek with Amazon Cloudfront

    - by giorrrgio
    I've written a little OSMF player that streams via RTMP from Amazon Cloudfront. There's a known issue, the mp3 duration is not correctly readed from metadata and thus the seek function is not working. I know there's a workaround implying the use of getStreamLength function of NetConnection, which I successfully implemented in a previous non-OSMF player, but now I don't know how and when to call it, in terms of OSMF Events and Traits. This code is not working: protected function initApp():void { //the pointer to the media var resource:URLResource = new URLResource( STREAMING_PATH ); // Create a mediafactory instance mediaFactory = new DefaultMediaFactory(); //creates and sets the MediaElement (generic) with a resource and path element = mediaFactory.createMediaElement( resource ); var loadTrait:NetStreamLoadTrait = element.getTrait(MediaTraitType.LOAD) as NetStreamLoadTrait; loadTrait.addEventListener(LoaderEvent.LOAD_STATE_CHANGE, _onLoaded); player = new MediaPlayer( element ); //Marker 5: Add MediaPlayer listeners for media size and current time change player.addEventListener( DisplayObjectEvent.MEDIA_SIZE_CHANGE, _onSizeChange ); player.addEventListener( TimeEvent.CURRENT_TIME_CHANGE, _onProgress ); initControlBar(); } private function onGetStreamLength(result:Object):void { Alert.show("The stream length is " + result + " seconds"); duration = Number(result); } private function _onLoaded(e:LoaderEvent):void { if (e.newState == LoadState.READY) { var loadTrait:NetStreamLoadTrait = player.media.getTrait(MediaTraitType.LOAD) as NetStreamLoadTrait; if (loadTrait && loadTrait.netStream) { var responder:Responder = new Responder(onGetStreamLength); loadTrait.connection.call("getStreamLength", responder, STREAMING_PATH); } } }

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  • Big Data – Role of Cloud Computing in Big Data – Day 11 of 21

    - by Pinal Dave
    In yesterday’s blog post we learned the importance of the NewSQL. In this article we will understand the role of Cloud in Big Data Story What is Cloud? Cloud is the biggest buzzword around from last few years. Everyone knows about the Cloud and it is extremely well defined online. In this article we will discuss cloud in the context of the Big Data. Cloud computing is a method of providing a shared computing resources to the application which requires dynamic resources. These resources include applications, computing, storage, networking, development and various deployment platforms. The fundamentals of the cloud computing are that it shares pretty much share all the resources and deliver to end users as a service.  Examples of the Cloud Computing and Big Data are Google and Amazon.com. Both have fantastic Big Data offering with the help of the cloud. We will discuss this later in this blog post. There are two different Cloud Deployment Models: 1) The Public Cloud and 2) The Private Cloud Public Cloud Public Cloud is the cloud infrastructure build by commercial providers (Amazon, Rackspace etc.) creates a highly scalable data center that hides the complex infrastructure from the consumer and provides various services. Private Cloud Private Cloud is the cloud infrastructure build by a single organization where they are managing highly scalable data center internally. Here is the quick comparison between Public Cloud and Private Cloud from Wikipedia:   Public Cloud Private Cloud Initial cost Typically zero Typically high Running cost Unpredictable Unpredictable Customization Impossible Possible Privacy No (Host has access to the data Yes Single sign-on Impossible Possible Scaling up Easy while within defined limits Laborious but no limits Hybrid Cloud Hybrid Cloud is the cloud infrastructure build with the composition of two or more clouds like public and private cloud. Hybrid cloud gives best of the both the world as it combines multiple cloud deployment models together. Cloud and Big Data – Common Characteristics There are many characteristics of the Cloud Architecture and Cloud Computing which are also essentially important for Big Data as well. They highly overlap and at many places it just makes sense to use the power of both the architecture and build a highly scalable framework. Here is the list of all the characteristics of cloud computing important in Big Data Scalability Elasticity Ad-hoc Resource Pooling Low Cost to Setup Infastructure Pay on Use or Pay as you Go Highly Available Leading Big Data Cloud Providers There are many players in Big Data Cloud but we will list a few of the known players in this list. Amazon Amazon is arguably the most popular Infrastructure as a Service (IaaS) provider. The history of how Amazon started in this business is very interesting. They started out with a massive infrastructure to support their own business. Gradually they figured out that their own resources are underutilized most of the time. They decided to get the maximum out of the resources they have and hence  they launched their Amazon Elastic Compute Cloud (Amazon EC2) service in 2006. Their products have evolved a lot recently and now it is one of their primary business besides their retail selling. Amazon also offers Big Data services understand Amazon Web Services. Here is the list of the included services: Amazon Elastic MapReduce – It processes very high volumes of data Amazon DynammoDB – It is fully managed NoSQL (Not Only SQL) database service Amazon Simple Storage Services (S3) – A web-scale service designed to store and accommodate any amount of data Amazon High Performance Computing – It provides low-tenancy tuned high performance computing cluster Amazon RedShift – It is petabyte scale data warehousing service Google Though Google is known for Search Engine, we all know that it is much more than that. Google Compute Engine – It offers secure, flexible computing from energy efficient data centers Google Big Query – It allows SQL-like queries to run against large datasets Google Prediction API – It is a cloud based machine learning tool Other Players Besides Amazon and Google we also have other players in the Big Data market as well. Microsoft is also attempting Big Data with the Cloud with Microsoft Azure. Additionally Rackspace and NASA together have initiated OpenStack. The goal of Openstack is to provide a massively scaled, multitenant cloud that can run on any hardware. Thing to Watch The cloud based solutions provides a great integration with the Big Data’s story as well it is very economical to implement as well. However, there are few things one should be very careful when deploying Big Data on cloud solutions. Here is a list of a few things to watch: Data Integrity Initial Cost Recurring Cost Performance Data Access Security Location Compliance Every company have different approaches to Big Data and have different rules and regulations. Based on various factors, one can implement their own custom Big Data solution on a cloud. Tomorrow In tomorrow’s blog post we will discuss about various Operational Databases supporting Big Data. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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  • Is the Cloud ready for an Enterprise Java web application? Seeking a JEE hosting advice.

    - by Jakub Holý
    Greetings to all the smart people around here! I'd like to ask whether it is feasible or a good idea at all to deploy a Java enterprise web application to a Cloud such as Amazon EC2. More exactly, I'm looking for infrastructure options for an application that shall handle few hundred users with long but neither CPU nor memory intensive sessions. I'm considering dedicated servers, virtual private servers (VPSs) and EC2. I've noticed that there is a project called JBoss Cloud so people are working on enabling such a deployment, on the other hand it doesn't seem to be mature yet and I'm not sure that the cloud is ready for this kind of applications, which differs from the typical cloud-based applications like Twitter. Would you recommend to deploy it to the cloud? What are the pros and cons? The application is a Java EE 5 web application whose main function is to enable users to compose their own customized Product by combining the available Parts. It uses stateless and stateful session beans and JPA for persistence of entities to a RDBMS and fetches information about Parts from the company's inventory system via a web service. Aside of external users it's used also by few internal ones, who are authenticated against the company's LDAP. The application should handle around 300-400 concurrent users building their product and should be reasonably scalable and available though these qualities are only of a medium importance at this stage. I've proposed an architecture consisting of a firewall (FW) and load balancer supporting sticky sessions and https (in the Cloud this would be replaced with EC2's Elastic Load Balancing service and FW on the app. servers, in a physical architecture the load-balancer would be a HW), then two physical clustered application servers combined with web servers (so that if one fails, a user doesn't loose his/her long built product) and finally a database server. The DB server would need a slave backup instance that can replace the master instance if it fails. This should provide reasonable availability and fault tolerance and provide good scalability as long as a single RDBMS can keep with the load, which should be OK for quite a while because most of the operations are done in the memory using a stateful bean and only occasionally stored or retrieved from the DB and the amount of data is low too. A problematic part could be the dependency on the remote inventory system webservice but with good caching of its outputs in the application it should be OK too. Unfortunately I've only vague idea of the system resources (memory size, number and speed of CPUs/cores) that such an "average Java EE application" for few hundred users needs. My rough and mostly unfounded estimate based on actual Amazon offerings is that 1.7GB and a single, 2-core "modern CPU" with speed around 2.5GHz (the High-CPU Medium Instance) should be sufficient for any of the two application servers (since we can handle higher load by provisioning more of them). Alternatively I would consider using the Large instance (64b, 7.5GB RAM, 2 cores at 1GHz) So my question is whether such a deployment to the cloud is technically and financially feasible or whether dedicated/VPS servers would be a better option and whether there are some real-world experiences with something similar. Thank you very much! /Jakub Holy PS: I've found the JBoss EAP in a Cloud Case Study that shows that it is possible to deploy a real-world Java EE application to the EC2 cloud but unfortunately there're no details regarding topology, instance types, or anything :-(

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  • Performance Tuning a High-Load Apache Server

    - by futureal
    I am looking to understand some server performance problems I am seeing with a (for us) heavily loaded web server. The environment is as follows: Debian Lenny (all stable packages + patched to security updates) Apache 2.2.9 PHP 5.2.6 Amazon EC2 large instance The behavior we're seeing is that the web typically feels responsive, but with a slight delay to begin handling a request -- sometimes a fraction of a second, sometimes 2-3 seconds in our peak usage times. The actual load on the server is being reported as very high -- often 10.xx or 20.xx as reported by top. Further, running other things on the server during these times (even vi) is very slow, so the load is definitely up there. Oddly enough Apache remains very responsive, other than that initial delay. We have Apache configured as follows, using prefork: StartServers 5 MinSpareServers 5 MaxSpareServers 10 MaxClients 150 MaxRequestsPerChild 0 And KeepAlive as: KeepAlive On MaxKeepAliveRequests 100 KeepAliveTimeout 5 Looking at the server-status page, even at these times of heavy load we are rarely hitting the client cap, usually serving between 80-100 requests and many of those in the keepalive state. That tells me to rule out the initial request slowness as "waiting for a handler" but I may be wrong. Amazon's CloudWatch monitoring tells me that even when our OS is reporting a load of 15, our instance CPU utilization is between 75-80%. Example output from top: top - 15:47:06 up 31 days, 1:38, 8 users, load average: 11.46, 7.10, 6.56 Tasks: 221 total, 28 running, 193 sleeping, 0 stopped, 0 zombie Cpu(s): 66.9%us, 22.1%sy, 0.0%ni, 2.6%id, 3.1%wa, 0.0%hi, 0.7%si, 4.5%st Mem: 7871900k total, 7850624k used, 21276k free, 68728k buffers Swap: 0k total, 0k used, 0k free, 3750664k cached The majority of the processes look like: 24720 www-data 15 0 202m 26m 4412 S 9 0.3 0:02.97 apache2 24530 www-data 15 0 212m 35m 4544 S 7 0.5 0:03.05 apache2 24846 www-data 15 0 209m 33m 4420 S 7 0.4 0:01.03 apache2 24083 www-data 15 0 211m 35m 4484 S 7 0.5 0:07.14 apache2 24615 www-data 15 0 212m 35m 4404 S 7 0.5 0:02.89 apache2 Example output from vmstat at the same time as the above: procs -----------memory---------- ---swap-- -----io---- -system-- ----cpu---- r b swpd free buff cache si so bi bo in cs us sy id wa 8 0 0 215084 68908 3774864 0 0 154 228 5 7 32 12 42 9 6 21 0 198948 68936 3775740 0 0 676 2363 4022 1047 56 16 9 15 23 0 0 169460 68936 3776356 0 0 432 1372 3762 835 76 21 0 0 23 1 0 140412 68936 3776648 0 0 280 0 3157 827 70 25 0 0 20 1 0 115892 68936 3776792 0 0 188 8 2802 532 68 24 0 0 6 1 0 133368 68936 3777780 0 0 752 71 3501 878 67 29 0 1 0 1 0 146656 68944 3778064 0 0 308 2052 3312 850 38 17 19 24 2 0 0 202104 68952 3778140 0 0 28 90 2617 700 44 13 33 5 9 0 0 188960 68956 3778200 0 0 8 0 2226 475 59 17 6 2 3 0 0 166364 68956 3778252 0 0 0 21 2288 386 65 19 1 0 And finally, output from Apache's server-status: Server uptime: 31 days 2 hours 18 minutes 31 seconds Total accesses: 60102946 - Total Traffic: 974.5 GB CPU Usage: u209.62 s75.19 cu0 cs0 - .0106% CPU load 22.4 requests/sec - 380.3 kB/second - 17.0 kB/request 107 requests currently being processed, 6 idle workers C.KKKW..KWWKKWKW.KKKCKK..KKK.KKKK.KK._WK.K.K.KKKKK.K.R.KK..C.C.K K.C.K..WK_K..KKW_CK.WK..W.KKKWKCKCKW.W_KKKKK.KKWKKKW._KKK.CKK... KK_KWKKKWKCKCWKK.KKKCK.......................................... ................................................................ From my limited experience I draw the following conclusions/questions: We may be allowing far too many KeepAlive requests I do see some time spent waiting for IO in the vmstat although not consistently and not a lot (I think?) so I am not sure this is a big concern or not, I am less experienced with vmstat Also in vmstat, I see in some iterations a number of processes waiting to be served, which is what I am attributing the initial page load delay on our web server to, possibly erroneously We serve a mixture of static content (75% or higher) and script content, and the script content is often fairly processor intensive, so finding the right balance between the two is important; long term we want to move statics elsewhere to optimize both servers but our software is not ready for that today I am happy to provide additional information if anybody has any ideas, the other note is that this is a high-availability production installation so I am wary of making tweak after tweak, and is why I haven't played with things like the KeepAlive value myself yet.

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  • How to implement message queuing and handling in AWS with NServiceBus

    - by Pete Lunenfeld
    I am creating a new ASP MVC order application in the Amazon (AWS) cloud with the persistence layer at my local datacenter. I will be using the CQRS pattern. The goal of the project is high availability using Queue(s) to store and forward writes (commands/events) that can be picked up and handled asynchronously at my local datacenter. Then, ff the WAN or my local datacenter fails, my cloud MVC app can still take orders and just queue them up until processing can resume. My first thought was to use AWS SQS for the queuing and create my own queue consumer/dispatcher/handler in my own c# application to process the incoming messages/events. MVC (@ Amazon) -- Event/POCO -- SQS -- QueueReader (@ my datacenter) -- DB Then I found NServiceBus. NSB seems to handle lots of details very nicely: message handling, retries, error handling, etc. I hate to reinvent the wheel, and NServiceBus seems like a full featured and mature product that would be perfect for me. But on further research, it does NOT look like NServiceBus is really meant to be used over the WAN in physically separated environments (Cloud to my Datacenter). Google and SO don't really paint a good picture of using NServiceBus across the WAN like I need. How can I use NServiceBus across the WAN? Or is there a better solution to handle queuing and message handling between Amazon an my local datacenter?

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  • AWS Large Instance: /mnt does not show all the space that should be available

    - by Emile Baizel
    I just created a Large (m1.large) 64 bit instance which comes with 850 GB instance storage. Look at the Large Instance http://aws.amazon.com/ec2/instance-types/ A 'df -h' from the root folder gives me the output below. The /mnt is where I'm thinking the instance storage is but here it is only showing me 414G. I have set up two servers and both are showing the same numbers. root@ip-11-11-11-11:/# df -h Filesystem Size Used Avail Use% Mounted on /dev/sda1 7.9G 1.1G 6.5G 14% / none 3.7G 112K 3.7G 1% /dev none 3.7G 0 3.7G 0% /dev/shm none 3.7G 48K 3.7G 1% /var/run none 3.7G 0 3.7G 0% /var/lock /dev/sdb 414G 199M 393G 1% /mnt

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  • Is there a Windows equivalent of Unix 'CPU steal time'?

    - by Steffen Opel
    In order to assess performance monitoring accuracy on virtualization platforms, the CPU steal time has become an increasingly relevant metric - see EC2 monitoring: the case of stolen CPU for an instructive summary in the context of Amazon EC2 and IBM's paper on CPU time accounting for a more in-depth technical explanation (including illustrations) of the concept: Steal time is the percentage of time a virtual CPU waits for a real CPU while the hypervisor is servicing another virtual processor. Accordingly, it is exposed in most related Unix/Linux monitoring tools nowadays - see e.g. columns %steal or st in sar or top: st -- Steal Time The amount of CPU 'stolen' from this virtual machine by the hypervisor for other tasks (such as running another virtual machine). I've been unable to figure out how to capture the same metric on Windows though, is this possible already? (Ideally for the Windows 2008 Server R2 AMIs on EC2 and via a respective Windows Performance Counters of course.)

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  • What's required to configure Ubuntu to use a specific DNS server?

    - by ks78
    I've setup two Amazon EC2 instances, both running Ubuntu Server. One is configured as a DNS server running bind9, which will be used to allow EC2 instances to communicate with each other based on hostname rather than IP, since their private IPs may change. I think I have the DNS server setup correctly. I want to use the second EC2 instance to test the DNS server. Using Webmin, I've added the DNS server's private IP to the client's DNS Servers list and added the domain to the Search Domains list. I did have to edit /etc/dhcp3/dhclint.conf to make my changes stick. After reboot, I expected I'd be able to ping or nslookup the DNS server from the test client, but it can't seem to find the server. Is there something I'm missing? What's required to configure an Ubuntu client to use a DNS server? I just want to make sure I'm not missing something before I assume the server's the problem.

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  • Colocation near EC2

    - by brianreavis
    Does anyone know any colocation providers near the Amazon's US EC2 facility(ies)? I'm needing to colocate a couple servers that need to be able to connect with EC2 with the lowest latency possible. I can't even find where their facilities are... Any ideas of the best solution or places to start looking? (ps. I'm well aware that EC2 instances can be configured to do pretty much anything. I have a special need that can't be deployed to EC2.)

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  • Measuring accesses to files - apache

    - by George
    So, I run a website, that among other things serves some files (usually PDFs). All of these are stored under a specific directory on the server: /var/www/vhosts/mysite.com/httpdocs/site/pdf_files Due to storage issues on my VPS I am thinking of getting some S3 or other cloud storage, and mount it as a drive using S3QL/S3FS. Then I will be able to have the pdf_files folder symlinked to the cloud folder and serve those files using that, without any changes on the web app (is that a good plan?) Now, before doing that, to estimate costs, I need to measure how many file accesses people do, how many times those pdf files are downloaded each month for example. Basically how many times those pdf files are accessed through the webserver. I'd like to do it on the apache level. What's the best way that this can be done? e.g.: measuring the bandwidth used by files in that specific folder would also be nice, but estimating the GET requests I'll be doing to amazon is more important.

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  • Ubuntu web server cluster checks Ubuntu repository for script updates with cron

    - by StuartTheY
    I have a cluster of Ubuntu 12.04 web servers running a lamp stack. All of these servers are connected to a Load Balancer on Amazon Web Services. What I want to be able to do is have a dedicated Ubuntu server that I can update the PHP files on and have the other web servers check with cron to get the updates files from the repository. They don't have to use cron but that was the only thing I could think of, unless there was a way to have the updated repository tell them that it has updated files. And then how to transfer those files. Also if there is a ways for a server to check for updated files when it boots because I am going to be using auto scaling on AWS so when there is an increase in the load and another server gets created I need it to download the updated files from the repository when launched. Not sure how to transfer files from server to server.

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  • HAProxy authenticated httpchk (health check)

    - by Markel
    I am using HAProxy on EC2 and using httpchk to manage node availability. I had used a pseudo-unique path as the health check route in an attempt to make sure only my servers responded to the health check. Earlier today I had an EC2 server fall out of existence, and before the haproxy config was auto-regenerated (controller issues), Amazon had reassigned the IP to someone whom 200's every request (honeypot?), my HAProxy host then pulled the server back into rotation and started distributing some of my traffic there until the controller recovered and removed the ip from the list. TLDR; Is there a way to add a server authentication method to HAProxy's httpchk?

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  • OpenVPN on ec2 bridged mode connects but no Ping, DNS or forwarding

    - by michael
    I am trying to use OpenVPN to access the internet over a secure connection. I have openVPN configured and running on Amazon EC2 in bridge mode with client certs. I can successfully connect from the client, but I cannot get access to the internet or ping anything from the client I checked the following and everything seems to shows a successful connection between the vpn client/server and UDP traffic on 1194 [server] sudo tcpdump -i eth0 udp port 1194 (shows UDP traffic after establishing connection) [server] sudo iptables -L Chain INPUT (policy ACCEPT) target prot opt source destination ACCEPT all -- anywhere anywhere ACCEPT all -- anywhere anywhere Chain FORWARD (policy ACCEPT) target prot opt source destination ACCEPT all -- anywhere anywhere Chain OUTPUT (policy ACCEPT) target prot opt source destination [server] sudo iptables -L -t nat Chain PREROUTING (policy ACCEPT) target prot opt source destination Chain POSTROUTING (policy ACCEPT) target prot opt source destination MASQUERADE all -- ip-W-X-Y-0.us-west-1.compute.internal/24 anywhere Chain OUTPUT (policy ACCEPT) target prot opt source destination [server] openvpn.log Wed Oct 19 03:11:26 2011 localhost/a.b.c.d:61905 [localhost] Inactivity timeout (--ping-restart), restarting Wed Oct 19 03:11:26 2011 localhost/a.b.c.d:61905 SIGUSR1[soft,ping-restart] received, client-instance restarting Wed Oct 19 03:41:31 2011 MULTI: multi_create_instance called Wed Oct 19 03:41:31 2011 a.b.c.d:57889 Re-using SSL/TLS context Wed Oct 19 03:41:31 2011 a.b.c.d:57889 LZO compression initialized Wed Oct 19 03:41:31 2011 a.b.c.d:57889 Control Channel MTU parms [ L:1574 D:166 EF:66 EB:0 ET:0 EL:0 ] Wed Oct 19 03:41:31 2011 a.b.c.d:57889 Data Channel MTU parms [ L:1574 D:1450 EF:42 EB:135 ET:32 EL:0 AF:3/1 ] Wed Oct 19 03:41:31 2011 a.b.c.d:57889 Local Options hash (VER=V4): '360696c5' Wed Oct 19 03:41:31 2011 a.b.c.d:57889 Expected Remote Options hash (VER=V4): '13a273ba' Wed Oct 19 03:41:31 2011 a.b.c.d:57889 TLS: Initial packet from [AF_INET]a.b.c.d:57889, sid=dd886604 ab6ebb38 Wed Oct 19 03:41:35 2011 a.b.c.d:57889 VERIFY OK: depth=1, /C=US/ST=CA/L=SanFrancisco/O=EXAMPLE/CN=EXAMPLE_CA/[email protected] Wed Oct 19 03:41:35 2011 a.b.c.d:57889 VERIFY OK: depth=0, /C=US/ST=CA/L=SanFrancisco/O=EXAMPLE/CN=localhost/[email protected] Wed Oct 19 03:41:37 2011 a.b.c.d:57889 Data Channel Encrypt: Cipher 'BF-CBC' initialized with 128 bit key Wed Oct 19 03:41:37 2011 a.b.c.d:57889 Data Channel Encrypt: Using 160 bit message hash 'SHA1' for HMAC authentication Wed Oct 19 03:41:37 2011 a.b.c.d:57889 Data Channel Decrypt: Cipher 'BF-CBC' initialized with 128 bit key Wed Oct 19 03:41:37 2011 a.b.c.d:57889 Data Channel Decrypt: Using 160 bit message hash 'SHA1' for HMAC authentication Wed Oct 19 03:41:37 2011 a.b.c.d:57889 Control Channel: TLSv1, cipher TLSv1/SSLv3 DHE-RSA-AES256-SHA, 1024 bit RSA Wed Oct 19 03:41:37 2011 a.b.c.d:57889 [localhost] Peer Connection Initiated with [AF_INET]a.b.c.d:57889 Wed Oct 19 03:41:39 2011 localhost/a.b.c.d:57889 PUSH: Received control message: 'PUSH_REQUEST' Wed Oct 19 03:41:39 2011 localhost/a.b.c.d:57889 SENT CONTROL [localhost]: 'PUSH_REPLY,redirect-gateway def1 bypass-dhcp,route-gateway W.X.Y.Z,ping 10,ping-restart 120,ifconfig W.X.Y.Z 255.255.255.0' (status=1) Wed Oct 19 03:41:40 2011 localhost/a.b.c.d:57889 MULTI: Learn: (IPV6) -> localhost/a.b.c.d:57889 [client] tracert google.com Tracing route to google.com [74.125.71.104] over a maximum of 30 hops: 1 347 ms 349 ms 348 ms PC [w.X.Y.Z] 2 * * * Request timed out. I can also successfully ping the server IP address from the client, and ping google.com from an SSH shell on the server. What am I doing wrong? Here is my config (Note: W.X.Y.Z == amazon EC2 private ipaddress) bridge config on br0 ifconfig eth0 0.0.0.0 promisc up brctl addbr br0 brctl addif br0 eth0 ifconfig br0 W.X.Y.X netmask 255.255.255.0 broadcast W.X.Y.255 up route add default gw W.X.Y.1 br0 /etc/openvpn/server.conf (from https://help.ubuntu.com/10.04/serverguide/C/openvpn.html) local W.X.Y.Z dev tap0 up "/etc/openvpn/up.sh br0" down "/etc/openvpn/down.sh br0" ;server W.X.Y.0 255.255.255.0 server-bridge W.X.Y.Z 255.255.255.0 W.X.Y.105 W.X.Y.200 ;push "route W.X.Y.0 255.255.255.0" push "redirect-gateway def1 bypass-dhcp" push "dhcp-option DNS 208.67.222.222" push "dhcp-option DNS 208.67.220.220" tls-auth ta.key 0 # This file is secret user nobody group nogroup log-append openvpn.log iptables config sudo iptables -A INPUT -i tap0 -j ACCEPT sudo iptables -A INPUT -i br0 -j ACCEPT sudo iptables -A FORWARD -i br0 -j ACCEPT sudo iptables -t nat -A POSTROUTING -s W.X.Y.0/24 -o eth0 -j MASQUERADE echo 1 > /proc/sys/net/ipv4/ip_forward Routing Tables added route -n Kernel IP routing table Destination Gateway Genmask Flags Metric Ref Use Iface W.X.Y.0 0.0.0.0 255.255.255.0 U 0 0 0 br0 0.0.0.0 W.X.Y.1 0.0.0.0 UG 0 0 0 br0 C:>route print =========================================================================== Interface List 32...00 ff ac d6 f7 04 ......TAP-Win32 Adapter V9 15...00 14 d1 e9 57 49 ......Microsoft Virtual WiFi Miniport Adapter #2 14...00 14 d1 e9 57 49 ......Realtek RTL8191SU Wireless LAN 802.11n USB 2.0 Net work Adapter 10...00 1f d0 50 1b ca ......Realtek PCIe GBE Family Controller 1...........................Software Loopback Interface 1 11...00 00 00 00 00 00 00 e0 Teredo Tunneling Pseudo-Interface 16...00 00 00 00 00 00 00 e0 Microsoft ISATAP Adapter 17...00 00 00 00 00 00 00 e0 Microsoft ISATAP Adapter #2 18...00 00 00 00 00 00 00 e0 Microsoft ISATAP Adapter #3 36...00 00 00 00 00 00 00 e0 Microsoft ISATAP Adapter #5 =========================================================================== IPv4 Route Table =========================================================================== Active Routes: Network Destination Netmask Gateway Interface Metric 0.0.0.0 0.0.0.0 10.1.2.1 10.1.2.201 25 10.1.2.0 255.255.255.0 On-link 10.1.2.201 281 10.1.2.201 255.255.255.255 On-link 10.1.2.201 281 10.1.2.255 255.255.255.255 On-link 10.1.2.201 281 127.0.0.0 255.0.0.0 On-link 127.0.0.1 306 127.0.0.1 255.255.255.255 On-link 127.0.0.1 306 127.255.255.255 255.255.255.255 On-link 127.0.0.1 306 224.0.0.0 240.0.0.0 On-link 127.0.0.1 306 224.0.0.0 240.0.0.0 On-link 10.1.2.201 281 255.255.255.255 255.255.255.255 On-link 127.0.0.1 306 255.255.255.255 255.255.255.255 On-link 10.1.2.201 281 =========================================================================== Persistent Routes: Network Address Netmask Gateway Address Metric 0.0.0.0 0.0.0.0 10.1.2.1 Default =========================================================================== C:>tracert google.com Tracing route to google.com [74.125.71.147] over a maximum of 30 hops: 1 344 ms 345 ms 343 ms PC [W.X.Y.221] 2 * * * Request timed out.

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  • jetty crash trouble shooting

    - by user886356
    Recently I switch to amazon ec2 + jetty9 + oracle jdk7_u45 for cost saving. I found the jetty server is very unstable. It crash randomly without any jvm dump file. Tried to enable stdout with the dumpBeforeStop=TRUE. It won't append the dump messages to stderrout.log before crash. Seems it isn't related to OutOfMemoryError as I have enabled the gc verbose options and found it still has many available memory before crash. : 162604K-3340K(176960K), 0.2240040 secs] 248332K-89101K(373568K), 0.2736860 secs] [Times: user=0.01 sys=0.01, real=0.28 secs] Tried to downgrade to jetty8 with different jdk combination (jdk6 / jdk7). Still got the same problem. Tried to remove all jvm options and using "sudo java -jar start.jar" to run jetty. Still crash. Any other way to shoot the problem?

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