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• Openfire on EC2 with Jingle

  - by Bjorn Roche

  I would like to run Openfire (or another XMPP server) on EC2. At the moment this is just for testing, so easy setup and configuration are important, as is low cost. At some point, however, if things go well, it will be important to scale this. Ideally, it would be nice to not have to switch software when the scaling happens, but if a switch needs to happen later it certainly can. My requirements are: basic XMPP services, including muc and pubsub. Logins controlled from an external API. Preferably, when a user attempts to connect, the XMPP server checks with the api to see if their username and password are correct, but I can also have the API keep the XMPP server up to date on new users, deleted users, pasword changes and so on. I see Openfire has a "user service" API. Not ideal, but it looks workable. Jingle, including relay and STUN. It's not at all clear to me if the Jingle Nodes plugin takes care of this. I'm a bit confused about what's required to set this up, and I'd rather know in advance than be confused along the way :). eg It seems like STUN servers require more than one IP address. Can Openfire do all this for me, including stun and media relay on a single machine? Is this hard to configure on EC2 with Openfire? What are the basic steps? Would this be easier with something else like, say Tigase? What about database? Should I use amazon's database service, or run a db on the same machine? Would the server be compatible with a service like http://www.siteuptime.com/ Thanks!

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• How to move Mdadm RAID drive (EBS based) to different AWS Instance

  - by Stanley

  We have a media-rich web application that is hosted on AWS. We have several Web Servers and we have an NFS server. On the NFS server (Linux server) we have several EBS volumes that are mounted and we've used mdadm to implement the different mounted volumes as a single RAID volume. The Web Servers simply access the NFS storage through a mount point. Amazon has now let us know that they will be performing power maintenance on this server in a couple of days time. Since all our media is on here it would render our site unusable for the hours while Amazon is working on it. We want to try and prevent this downtime. I was thinking that we can prevent server downtime by perhaps setting up a new server temporarily and attaching the EBS drives (raid volume) to that server and have our web servers point there during maintenance. This is a very high risk operation since this involves several terabytes of our production data. What would be the safe way to move over our logical raid drive (md0) to a new amazon instance? I was hoping that I could start with building the new server, mounting the ebs volumes and assembling the RAID partition using mdadm --assemble --scan before unmounting from the existing instance so that I can first test that everything works and thus having it mounted on two instances at the same time, but I don't believe that is possible with the way that filesystems work. How do I move a Linux software RAID to a new machine? suggests a way to move drives, but isn't really a cloud-based question. Perhaps there are simpler ways to prevent system downtime with our solution being hosted on the cloud? I have considered taking an EBS snapshot, but that tries to replicate all the many terabytes of mounted storage, so this is not a practical solution. Any ideas?

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• Pan point on Google Map to specific pixel position on screen (API v3)

  - by Jake

  When overlay is a Google maps overlay and offsetx, offsety is the pixel distance from the maps center that I want to pan latlong to, the following works. var projection = overlay.getProjection(); var pxlocation = projection.fromLatLngToContainerPixel(latlong); map.panTo(projection.fromContainerPixelToLatLng(new google.maps.Point(pxlocation.x+offsetx,pxlocation.y+offsety))); However, I don't always have an overlay on the map and map.getProjection() returns a projection, not a MapCanvasProjection which does not have the methods I need. Is there a way to do this without making an overlay specificaly for it?

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• gdata api + javascript library for accessing documents?

  - by user246114

  Hi, I wanted to do the following with the gdata javascript library: get a list of a user's documents. read the contents of a chosen document. edit its contents, update the document. If I'm reading correctly, this is not supported by the javascript library? I got this to work with the java library, but would like to push this functionality to the client. Is it possible? If not, are there any ways around it? Thank you

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• Using Gdata Calendar API for PHP App to create a calender system with event ownership

  - by linuxlover101

  Hello, I'm working on a PHP app, and I'm trying to find the best way to set up a calendar system. First let me describe the intended function of the system: The application has multiple users who can login simultaneously. Each user should be able to add their own events and display them on their "profile." Also, on another page, the events should be able to be shown all together (from all users) and from each individual users exclusively. Since Google Calendar has a nice calendar-looking interface, I thought I would work with the GData APIs. Originally, I thought this would make things easier. But then it seems that if I want to represent event ownership, either each user would have to have a google account or somehow they all would each have to have a separate calendar. Thus, the application would have to create the calendar (if it does not exist) and be able to edit only their calendar. Two questions: Can I somehow use the GData APIs to accomplish my goal? (Mainly event ownership.) Should I just create my own calendar like application? Thanks!

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• simple and reliable centralized logging inside Amazon VPC

  - by Nakedible

  I need to set up centralized logging for a set of servers (10-20) in an Amazon VPC. The logging should be as to not lose any log messages in case any single server goes offline - or in the case that an entire availability zone goes offline. It should also tolerate packet loss and other normal network conditions without losing or duplicating messages. It should store the messages durably, at the minimum on two different EBS volumes in two availability zones, but S3 is a good place as well. It should also be realtime so that the messages arrive within seconds of their generation to two different availability zones. I also need to sync logfiles not generated via syslog, so a syslog-only centralized logging solution would not fulfill all the needs, although I guess that limitation could be worked around. I have already reviewed a few solutions, and I will list them here: Flume to Flume to S3: I could set up two logservers as Flume hosts which would store log messages either locally or in S3, and configure all the servers with Flume to send all messages to both servers, using the end-to-end reliability options. That way the loss of a single server shouldn't cause lost messages and all messages would arrive in two availability zones in realtime. However, there would need to be some way to join the logs of the two servers, deduplicating all the messages delivered to both. This could be done by adding a unique id on the sending side to each message and then write some manual deduplication runs on the logfiles. I haven't found an easy solution to the duplication problem. Logstash to Logstash to ElasticSearch: I could install Logstash on the servers and have them deliver to a central server via AMQP, with the durability options turned on. However, for this to work I would need to use some of the clustering capable AMQP implementations, or fan out the deliver just as in the Flume case. AMQP seems to be a yet another moving part with several implementations and no real guidance on what works best this sort of setup. And I'm not entirely convinced that I could get actual end-to-end durability from logstash to elasticsearch, assuming crashing servers in between. The fan-out solutions run in to the deduplication problem again. The best solution that would seem to handle all the cases, would be Beetle, which seems to provide high availability and deduplication via a redis store. However, I haven't seen any guidance on how to set this up with Logstash and Redis is one more moving part again for something that shouldn't be terribly difficult. Logstash to ElasticSearch: I could run Logstash on all the servers, have all the filtering and processing rules in the servers themselves and just have them log directly to a removet ElasticSearch server. I think this should bring me reliable logging and I can use the ElasticSearch clustering features to share the database transparently. However, I am not sure if the setup actually survives Logstash restarts and intermittent network problems without duplicating messages in a failover case or similar. But this approach sounds pretty promising. rsync: I could just rsync all the relevant log files to two different servers. The reliability aspect should be perfect here, as the files should be identical to the source files after a sync is done. However, doing an rsync several times per second doesn't sound fun. Also, I need the logs to be untamperable after they have been sent, so the rsyncs would need to be in append-only mode. And log rotations mess things up unless I'm careful. rsyslog with RELP: I could set up rsyslog to send messages to two remote hosts via RELP and have a local queue to store the messages. There is the deduplication problem again, and RELP itself might also duplicate some messages. However, this would only handle the things that log via syslog. None of these solutions seem terribly good, and they have many unknowns still, so I am asking for more information here from people who have set up centralized reliable logging as to what are the best tools to achieve that goal.

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• youtube python api gdata.service. requesterror

  - by nashr rafeeg

  i have the following code which is trying to add a set of videos into a youtube play list import urllib,re import gdata.youtube import gdata.youtube.service class reddit(): def __init__(self, rssurl ='http://www.reddit.com/r/chillmusic.rss' ): self.URL = rssurl self._downloadrss() def _downloadrss(self): if self.URL.endswith('.rss'): # Downloadd the RSS feed of the subreddit - save as "feed.rss" try: print "Downloading rss from reddit..." urllib.urlretrieve (URL, "feed.rss") except Exception as e: print e def clean(self): playList = open("feed.rss").read() links = re.findall(r'(http?://www.youtube.com\S+)', playList) for link in links: firstPass = link.replace('&quot;&gt;[link]&lt;/a&gt;', '') secondPass = firstPass.replace('&amp;amp;fmt=18', '') thirdpass = secondPass.replace('&amp;amp;feature=related', '') finalPass = thirdpass.replace('http://www.youtube.com/watch?v=', '') print thirdpass, "\t Extracted: ", finalPass return finalPass class google(): def __init__(self, username, password): self.Username = username self.password = password #do not change any of the following self.key = 'AI39si5DDjGYhG_1W-8n_amjgEjbOU27sa0aw2RQI5gOaoK5KqCD2Fzffbkh8oqGu7CqFQLLQ7N7wK0gz7lrTQbd70srC72Niw' self.appname = 'Reddit playlist maker' self.service = gdata.youtube.service.YouTubeService() def authenticate(self): self.service.email = self.Username self.service.password = self.password self.service.developer_key = self.key self.service.client_id = self.appname self.service.source = self.appname self.service.ssl = False self.service.ProgrammaticLogin() def get_playlists(self): y_playlist = self.service.GetYouTubePlaylistFeed(username='default') l = [] k = [] for p in y_playlist.entry: k=[] k=[p.link[1].href, p.title.text] l.append(k) return l def get_playlist_id_from_url(self, href): #quick and dirty method to get the playList id's return href.replace('http://www.youtube.com/view_play_list?p=','') def creat_playlist(self, name="Reddit list", disc ="videos from reddit"): playlistentry = self.service.AddPlaylist(name, disc) if isinstance(playlistentry, gdata.youtube.YouTubePlaylistEntry): print 'New playlist added' return playlistentry.link[1].href def add_video_to_playlist(self,playlist_uri,video): video_entry = self.service.AddPlaylistVideoEntryToPlaylist( playlist_uri, video) if isinstance(video_entry, gdata.youtube.YouTubePlaylistVideoEntry): print 'Video added' URL = "http://www.reddit.com/r/chillmusic.rss" r = reddit(URL) g = google('[email protected]', 'xxxx') g.authenticate() def search_playlist(playlist="Reddit list3"): pl_id = None for pl in g.get_playlists(): if pl[1] == playlist: pl_id = pl[0] print pl_id break if pl_id == None: pl_id = g.creat_playlist(name=playlist) return pl_id pls = search_playlist() for video_id in r.clean(): g.add_video_to_playlist(pls, video_id) when i run the code i am geting the following error message gdata.service.RequestError: {'status': 303, 'body': '', 'reason': 'See Other'} any one have any idea why i am getting this error cheers Nash

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• Suggest product catalog script/framework in PHP which doesn't displays product price

  - by Amit Kumar Jha

  Hey all, I am new to web development and have this project in hand where in I have to build a product catalogue. I don't want any cart functionality or other such features, I just want to display the products,their specifications and images etc. on the website and give my client an admin panel to manage products. Now I looked into various PHP shopping cart scripts but couldn't find a way to remove price info from the display. I am not experienced enough in web development to make a product catalogue from scratch so if you guys could point me out in right direction I would be very grateful. If you could give me link to some shopping cart or cataloguing script or any other way to accomplish the task it would help me out a lot.. Thanks in advance to all those who reply.

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• google maps api v2 - tens of thousands of markers

  - by Adam

  Hello, my problem is with XXk (aka XX000) markers, atm I have 7k markers and will be more, and more, problem is in marker database, because atm this is 4MB (link to my DB http://tinyurl.com/ybau9ce) and problem is, how load that fast? for example DOWNLOAD only this what are show now, DOWNLOAD because load I have with ClusterMarker and problem is not with java but with download that database I think...

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• gdata youtube api 302 'The document has moved'

  - by zalew

  I'm trying to get YouTube feeds with the python gdata library. Authentication features work ok, yt_service.ProgrammaticLogin() works, generating subauth token works, etc., but when I try to get some feeds (GetMostRecentVideoFeed, GetYouTubeVideoEntry, even GetFeed, and any other) I get: RequestError: {'status': 302, 'body': '<HTML><HEAD><meta http-equiv="content-type" content="text/html;charset=utf-8">\n<TITLE>302 Moved</TITLE></HEAD><BODY>\n<H1>302 Moved</H1>\nThe document has moved\n<A HREF="http://www.google.com">here</A>.\r\n</BODY></HTML>\r\n', 'reason': 'Redirect received, but redirects_remaining <= 0'} 302 to 'google.com'??? I've even tried to do something from the google online tutorials and I get the same error. What's going on?

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• Google Maps iPhone API Terrain View

  - by Adam

  We're using MapKit on an iPhone app to display a Google Map with terrain view. However, the terrain view only shows when the user has an active Internet connection, the moment the user's Internet is off, the terrain on the map disappears and it appears flat. Is there any way to keep the terrain view on even when the user isn't on an active internet connection? Thanks! Adam

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• Google Place API marker issue

  - by user2959740

  I am creating itinerary planner like http://www.plnnr.com I want to create Google Place marker by direction(North,East,west,south) for e.g. When people select 4 day it should show attraction for 1st day all north location 2nd day east location then south and west. How to i do the auto marker. I am not sure how plnnr.com works how they are generating the lines based on direction. Please anyone help me on this.

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• DNS with name.com and Amazon S3

  - by aledalgrande

  I have a website on a bucket in Amazon S3, and recently started to get emails from Google "Googlebot can't access your site". When I go to Webmaster Tools and I try to fetch in fact it doesn't work. Also people in locations different from mine sometimes reported they could not access the website. Now for curiosity I tried from my terminal: $ host xxx xxx is an alias for xxx.s3-website-us-west-1.amazonaws.com. xxx.s3-website-us-west-1.amazonaws.com is an alias for s3-website-us-west-1.amazonaws.com. s3-website-us-west-1.amazonaws.com has address yyy.yyy.yyy.yyy And when I try with dig: $ dig xxx ; <<>> DiG 9.8.3-P1 <<>> xxx ;; global options: +cmd ;; Got answer: ;; ->>HEADER<<- opcode: QUERY, status: NOERROR, id: 17860 ;; flags: qr rd ra; QUERY: 1, ANSWER: 3, AUTHORITY: 0, ADDITIONAL: 0 ;; QUESTION SECTION: ;xxx. IN A ;; ANSWER SECTION: xxx. 300 IN CNAME xxx.s3-website-us-west-1.amazonaws.com. xxx.s3-website-us-west-1.amazonaws.com. 60 IN CNAME s3-website-us-west-1.amazonaws.com. s3-website-us-west-1.amazonaws.com. 60 IN A yyy ;; Query time: 1514 msec ;; SERVER: 75.75.75.75#53(75.75.75.75) ;; WHEN: Fri Aug 22 12:32:13 2014 ;; MSG SIZE rcvd: 127 It seems OK to me. Why would Google tell me there is a DNS error? UPDATE: Google also cannot fetch robots.txt, but I can fetch it from my browser. UPDATE 2: I have a forwarding on the root to the www.* hostname: $ dig thenifty.me ; <<>> DiG 9.8.3-P1 <<>> thenifty.me ;; global options: +cmd ;; Got answer: ;; ->>HEADER<<- opcode: QUERY, status: NOERROR, id: 49286 ;; flags: qr rd ra; QUERY: 1, ANSWER: 0, AUTHORITY: 1, ADDITIONAL: 0 ;; QUESTION SECTION: ;thenifty.me. IN A ;; AUTHORITY SECTION: thenifty.me. 300 IN SOA ns1hwy.name.com. support.name.com. 1 10800 3600 604800 300 ;; Query time: 148 msec ;; SERVER: 75.75.75.75#53(75.75.75.75) ;; WHEN: Fri Aug 22 13:32:56 2014 ;; MSG SIZE rcvd: 88

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• Google Maps API v3 - Directions/Paths breaking KML Overlay Infowindows

  - by Douglas

  I'm in the end stages before content filling and then production on the Google Maps project I've been working on. A number of bugs and such have been thwarted, but this latest one has me relatively stumped. The demo map can be viewed here: http://dougglover.com/samples/finalProduct/ Everything works fine until you create a path using the Directions section(not to be confused with Get Directions). To reproduce the problem, play around with the map, click on a building or two, just to see the functionality. After ensuring that clicking on a building works(brings up an infowindow), choose two buildings to get directions to in the Directions area. It works great with the routing algorithm I've implemented, and the paths show up nicely, and intelligently. The problem being that you can't click buildings anymore to see their info. I'm assuming it has something to do with the z-index error popping up in the console, but I'm not sure how to handle that if it is the problem. Any guidance is greatly appreciated. :)

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• Amazon API ItemSearch returns (400) Bad Request.

  - by BuzzBubba

  I'm using a simple example from Amazon documentation for ItemSearch and I get a strange error: "The remote server returned an unexpected response: (400) Bad Request." This is the code: public static void Main() { //Remember to create an instance of the amazon service, including you Access ID. AWSECommerceServicePortTypeClient service = new AWSECommerceServicePortTypeClient(new BasicHttpBinding(), new EndpointAddress( "http://webservices.amazon.com/onca/soap?Service=AWSECommerceService")); AWSECommerceServicePortTypeClient client = new AWSECommerceServicePortTypeClient( new BasicHttpBinding(), new EndpointAddress("http://webservices.amazon.com/onca/soap?Service=AWSECommerceService")); // prepare an ItemSearch request ItemSearchRequest request = new ItemSearchRequest(); request.SearchIndex = "Books"; request.Title = "Harry+Potter"; request.ResponseGroup = new string[] { "Small" }; ItemSearch itemSearch = new ItemSearch(); itemSearch.Request = new ItemSearchRequest[] { request }; itemSearch.AWSAccessKeyId = accessKeyId; // issue the ItemSearch request try { ItemSearchResponse response = client.ItemSearch(itemSearch); // write out the results foreach (var item in response.Items[0].Item) { Console.WriteLine(item.ItemAttributes.Title); } } catch(Exception e) { Console.ForegroundColor = ConsoleColor.Red; Console.WriteLine(e.Message); Console.ForegroundColor = ConsoleColor.White; Console.WriteLine("Press any key to quit..."); Clipboard.SetText(e.Message); } Console.ReadKey(); What is wrong?

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• Amazon EC2 pem file stopped working suddenly

  - by Jashwant

  I was connecting to Amazon EC2 through SSH and it was working well. But all of a sudden, it stopped working. I am not able to connect anymore with the same key file. What can go wrong ? Here's the debug info. ssh -vvv -i ~/Downloads/mykey.pem [email protected] OpenSSH_6.1p1 Debian-4, OpenSSL 1.0.1c 10 May 2012 debug1: Reading configuration data /etc/ssh/ssh_config debug1: /etc/ssh/ssh_config line 19: Applying options for * debug2: ssh_connect: needpriv 0 debug1: Connecting to ec2-54-222-60-78.eu.compute.amazonaws.com [54.229.60.78] port 22. debug1: Connection established. debug3: Incorrect RSA1 identifier debug3: Could not load "/home/jashwant/Downloads/mykey.pem" as a RSA1 public key debug1: identity file /home/jashwant/Downloads/mykey.pem type -1 debug1: identity file /home/jashwant/Downloads/mykey.pem-cert type -1 debug1: Remote protocol version 2.0, remote software version OpenSSH_5.9p1 Debian-5ubuntu1.1 debug1: match: OpenSSH_5.9p1 Debian-5ubuntu1.1 pat OpenSSH_5* debug1: Enabling compatibility mode for protocol 2.0 debug1: Local version string SSH-2.0-OpenSSH_6.1p1 Debian-4 debug2: fd 3 setting O_NONBLOCK debug3: load_hostkeys: loading entries for host "ec2-54-222-60-78.eu.compute.amazonaws.com" from file "/home/jashwant/.ssh/known_hosts" debug3: load_hostkeys: found key type ECDSA in file /home/jashwant/.ssh/known_hosts:4 debug3: load_hostkeys: loaded 1 keys debug3: order_hostkeyalgs: prefer hostkeyalgs: [email protected],[email protected],[email protected],ecdsa-sha2-nistp256,ecdsa-sha2-nistp384,ecdsa-sha2-nistp521 debug1: SSH2_MSG_KEXINIT sent debug1: SSH2_MSG_KEXINIT received debug2: kex_parse_kexinit: ecdh-sha2-nistp256,ecdh-sha2-nistp384,ecdh-sha2-nistp521,diffie-hellman-group-exchange-sha256,diffie-hellman-group-exchange-sha1,diffie-hellman-group14-sha1,diffie-hellman-group1-sha1 debug2: kex_parse_kexinit: [email protected],[email protected],[email protected],ecdsa-sha2-nistp256,ecdsa-sha2-nistp384,ecdsa-sha2-nistp521,[email protected],[email protected],[email protected],[email protected],ssh-rsa,ssh-dss debug2: kex_parse_kexinit: aes128-ctr,aes192-ctr,aes256-ctr,arcfour256,arcfour128,aes128-cbc,3des-cbc,blowfish-cbc,cast128-cbc,aes192-cbc,aes256-cbc,arcfour,[email protected] debug2: kex_parse_kexinit: aes128-ctr,aes192-ctr,aes256-ctr,arcfour256,arcfour128,aes128-cbc,3des-cbc,blowfish-cbc,cast128-cbc,aes192-cbc,aes256-cbc,arcfour,[email protected] debug2: kex_parse_kexinit: hmac-md5,hmac-sha1,[email protected],hmac-sha2-256,hmac-sha2-512,hmac-ripemd160,[email protected],hmac-sha1-96,hmac-md5-96 debug2: kex_parse_kexinit: hmac-md5,hmac-sha1,[email protected],hmac-sha2-256,hmac-sha2-512,hmac-ripemd160,[email protected],hmac-sha1-96,hmac-md5-96 debug2: kex_parse_kexinit: none,[email protected],zlib debug2: kex_parse_kexinit: none,[email protected],zlib debug2: kex_parse_kexinit: debug2: kex_parse_kexinit: debug2: kex_parse_kexinit: first_kex_follows 0 debug2: kex_parse_kexinit: reserved 0 debug2: kex_parse_kexinit: ecdh-sha2-nistp256,ecdh-sha2-nistp384,ecdh-sha2-nistp521,diffie-hellman-group-exchange-sha256,diffie-hellman-group-exchange-sha1,diffie-hellman-group14-sha1,diffie-hellman-group1-sha1 debug2: kex_parse_kexinit: ssh-rsa,ssh-dss,ecdsa-sha2-nistp256 debug2: kex_parse_kexinit: aes128-ctr,aes192-ctr,aes256-ctr,arcfour256,arcfour128,aes128-cbc,3des-cbc,blowfish-cbc,cast128-cbc,aes192-cbc,aes256-cbc,arcfour,[email protected] debug2: kex_parse_kexinit: aes128-ctr,aes192-ctr,aes256-ctr,arcfour256,arcfour128,aes128-cbc,3des-cbc,blowfish-cbc,cast128-cbc,aes192-cbc,aes256-cbc,arcfour,[email protected] debug2: kex_parse_kexinit: hmac-md5,hmac-sha1,[email protected],hmac-sha2-256,hmac-sha2-256-96,hmac-sha2-512,hmac-sha2-512-96,hmac-ripemd160,[email protected],hmac-sha1-96,hmac-md5-96 debug2: kex_parse_kexinit: hmac-md5,hmac-sha1,[email protected],hmac-sha2-256,hmac-sha2-256-96,hmac-sha2-512,hmac-sha2-512-96,hmac-ripemd160,[email protected],hmac-sha1-96,hmac-md5-96 debug2: kex_parse_kexinit: none,[email protected] debug2: kex_parse_kexinit: none,[email protected] debug2: kex_parse_kexinit: debug2: kex_parse_kexinit: debug2: kex_parse_kexinit: first_kex_follows 0 debug2: kex_parse_kexinit: reserved 0 debug2: mac_setup: found hmac-md5 debug1: kex: server->client aes128-ctr hmac-md5 none debug2: mac_setup: found hmac-md5 debug1: kex: client->server aes128-ctr hmac-md5 none debug1: sending SSH2_MSG_KEX_ECDH_INIT debug1: expecting SSH2_MSG_KEX_ECDH_REPLY debug1: Server host key: ECDSA d8:05:8e:fe:37:2d:1e:2c:f1:27:c2:e7:90:7f:45:48 debug3: load_hostkeys: loading entries for host "ec2-54-222-60-78.eu.compute.amazonaws.com" from file "/home/jashwant/.ssh/known_hosts" debug3: load_hostkeys: found key type ECDSA in file /home/jashwant/.ssh/known_hosts:4 debug3: load_hostkeys: loaded 1 keys debug3: load_hostkeys: loading entries for host "54.229.60.78" from file "/home/jashwant/.ssh/known_hosts" debug3: load_hostkeys: found key type ECDSA in file /home/jashwant/.ssh/known_hosts:5 debug3: load_hostkeys: loaded 1 keys debug1: Host 'ec2-54-222-60-78.eu.compute.amazonaws.com' is known and matches the ECDSA host key. debug1: Found key in /home/jashwant/.ssh/known_hosts:4 debug1: ssh_ecdsa_verify: signature correct debug2: kex_derive_keys debug2: set_newkeys: mode 1 debug1: SSH2_MSG_NEWKEYS sent debug1: expecting SSH2_MSG_NEWKEYS debug2: set_newkeys: mode 0 debug1: SSH2_MSG_NEWKEYS received debug1: Roaming not allowed by server debug1: SSH2_MSG_SERVICE_REQUEST sent debug2: service_accept: ssh-userauth debug1: SSH2_MSG_SERVICE_ACCEPT received debug2: key: jashwant@jashwant-linux (0x7f827cbe4f00) debug2: key: /home/jashwant/Downloads/mykey.pem ((nil)) debug1: Authentications that can continue: publickey debug3: start over, passed a different list publickey debug3: preferred gssapi-keyex,gssapi-with-mic,publickey,keyboard-interactive,password debug3: authmethod_lookup publickey debug3: remaining preferred: keyboard-interactive,password debug3: authmethod_is_enabled publickey debug1: Next authentication method: publickey debug1: Offering RSA public key: jashwant@jashwant-linux debug3: send_pubkey_test debug2: we sent a publickey packet, wait for reply debug1: Authentications that can continue: publickey debug1: Trying private key: /home/jashwant/Downloads/mykey.pem debug1: read PEM private key done: type RSA debug3: sign_and_send_pubkey: RSA 9b:7d:9f:2e:7a:ef:51:a2:4e:fb:0c:c0:e8:d4:66:12 debug2: we sent a publickey packet, wait for reply debug1: Authentications that can continue: publickey debug2: we did not send a packet, disable method debug1: No more authentication methods to try. Permission denied (publickey). I've already googled everything and checked : Public DNS is same (It hasnt changed), Username is ubuntu as it's a Ubuntu AMI ( Used the same earlier), Permission is 400 on mykey.pem file ssh port is enabled via security groups ( Used the same ealier )

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• Data Structure Behind Amazon S3s Keys (Filtering Data Structure)

  - by dimo414

  I'd like to implement a data structure similar to the lookup functionality of Amazon S3. For those of you who don't know what I'm taking about, Amazon S3 stores all files at the root, but allows you to look up groups of files by common prefixes in their names, therefore replicating the power of a directory tree without the complexity of it. The catch is, both lookup and filter operations are O(1) (or close enough that even on very large buckets - S3's disk equivalents - both operations might as well be O(1))). So in short, I'm looking for a data structure that functions like a hash map, with the added benefit of efficient (at the very least not O(n)) filtering. The best I can come up with is extending HashMap so that it also contains a (sorted) list of contents, and doing a binary search for the range that matches the prefix, and returning that set. This seems slow to me, but I can't think of any other way to do it. Does anyone know either how Amazon does it, or a better way to implement this data structure?

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• In python: how to apply itertools.product to elements of a list of lists

  - by Guilherme Rocha

  I have a list of arrays and I would like to get the cartesian product of the elements in the arrays. I will use an example to make this more concrete... itertools.product seems to do the trick but I am stuck in a little detail. arrays = [(-1,+1), (-2,+2), (-3,+3)]; If I do cp = list(itertools.product(arrays)); I get cp = cp0 = [((-1, 1),), ((-2, 2),), ((-3, 3),)] But what I want to get is cp1 = [(-1,-2,-3), (-1,-2,+3), (-1,+2,-3), (-1,+2,+3), ..., (+1,+2,-3), (+1,+2,+3)]. I have tried a few different things: cp = list(itertools.product(itertools.islice(arrays, len(arrays)))); cp = list(itertools.product(iter(arrays, len(arrays)))); They all gave me cp0 instead of cp1. Any ideas? Thanks in advance.

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• Safety of Amazon Community AMIs

  - by Koran

  Hi, I am working for a scientific project and would like to use the Amazon EC2 to host the same. Now, I was going through the existing AMIs to create my own, but I found one AMI in the community list of AMIs - which fits perfectly. My question is the following - are the community AMIs safe? Is it possible for a malicious user to create an AMI in such a way that say the usernames/passwords etc can be sent to a remote server or something? Does Amazon do any sort of checking to make sure it cannot happen? I couldnt find the answers to these in Amazon site. I am pretty sure that you guys would have felt the same issues - could you please provide your answers? Regards K

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• Faster, Simpler access to Azure Tables with Enzo Azure API

  - by Herve Roggero

  After developing the latest version of Enzo Cloud Backup I took the time to create an API that would simplify access to Azure Tables (the Enzo Azure API). At first, my goal was to make the code simpler compared to the Microsoft Azure SDK. But as it turns out it is also a little faster; and when using the specialized methods (the fetch strategies) it is much faster out of the box than the Microsoft SDK, unless you start creating complex parallel and resilient routines yourself. Last but not least, I decided to add a few extension methods that I think you will find attractive, such as the ability to transform a list of entities into a DataTable. So let’s review each area in more details. Simpler Code My first objective was to make the API much easier to use than the Azure SDK. I wanted to reduce the amount of code necessary to fetch entities, remove the code needed to add automatic retries and handle transient conditions, and give additional control, such as a way to cancel operations, obtain basic statistics on the calls, and control the maximum number of REST calls the API generates in an attempt to avoid throttling conditions in the first place (something you cannot do with the Azure SDK at this time). Strongly Typed Before diving into the code, the following examples rely on a strongly typed class called MyData. The way MyData is defined for the Azure SDK is similar to the Enzo Azure API, with the exception that they inherit from different classes. With the Azure SDK, classes that represent entities must inherit from TableServiceEntity, while classes with the Enzo Azure API must inherit from BaseAzureTable or implement a specific interface. // With the SDK public class MyData1 : TableServiceEntity {     public string Message { get; set; }     public string Level { get; set; }     public string Severity { get; set; } } //  With the Enzo Azure API public class MyData2 : BaseAzureTable {     public string Message { get; set; }     public string Level { get; set; }     public string Severity { get; set; } } Simpler Code Now that the classes representing an Azure Table entity are defined, let’s review the methods that the Azure SDK would look like when fetching all the entities from an Azure Table (note the use of a few variables: the _tableName variable stores the name of the Azure Table, and the ConnectionString property returns the connection string for the Storage Account containing the table): // With the Azure SDK public List<MyData1> FetchAllEntities() {      CloudStorageAccount storageAccount = CloudStorageAccount.Parse(ConnectionString);      CloudTableClient tableClient = storageAccount.CreateCloudTableClient();      TableServiceContext serviceContext = tableClient.GetDataServiceContext();      CloudTableQuery<MyData1> partitionQuery =         (from e in serviceContext.CreateQuery<MyData1>(_tableName)         select new MyData1()         {            PartitionKey = e.PartitionKey,            RowKey = e.RowKey,            Timestamp = e.Timestamp,            Message = e.Message,            Level = e.Level,            Severity = e.Severity            }).AsTableServiceQuery<MyData1>();        return partitionQuery.ToList();  } This code gives you automatic retries because the AsTableServiceQuery does that for you. Also, note that this method is strongly-typed because it is using LINQ. Although this doesn’t look like too much code at first glance, you are actually mapping the strongly-typed object manually. So for larger entities, with dozens of properties, your code will grow. And from a maintenance standpoint, when a new property is added, you may need to change the mapping code. You will also note that the mapping being performed is optional; it is desired when you want to retrieve specific properties of the entities (not all) to reduce the network traffic. If you do not specify the properties you want, all the properties will be returned; in this example we are returning the Message, Level and Severity properties (in addition to the required PartitionKey, RowKey and Timestamp). The Enzo Azure API does the mapping automatically and also handles automatic reties when fetching entities. The equivalent code to fetch all the entities (with the same three properties) from the same Azure Table looks like this: // With the Enzo Azure API public List<MyData2> FetchAllEntities() {        AzureTable at = new AzureTable(_accountName, _accountKey, _ssl, _tableName);        List<MyData2> res = at.Fetch<MyData2>("", "Message,Level,Severity");        return res; } As you can see, the Enzo Azure API returns the entities already strongly typed, so there is no need to map the output. Also, the Enzo Azure API makes it easy to specify the list of properties to return, and to specify a filter as well (no filter was provided in this example; the filter is passed as the first parameter).  Fetch Strategies Both approaches discussed above fetch the data sequentially. In addition to the linear/sequential fetch methods, the Enzo Azure API provides specific fetch strategies. Fetch strategies are designed to prepare a set of REST calls, executed in parallel, in a way that performs faster that if you were to fetch the data sequentially. For example, if the PartitionKey is a GUID string, you could prepare multiple calls, providing appropriate filters ([‘a’, ‘b’[, [‘b’, ‘c’[, [‘c’, ‘d[, …), and send those calls in parallel. As you can imagine, the code necessary to create these requests would be fairly large. With the Enzo Azure API, two strategies are provided out of the box: the GUID and List strategies. If you are interested in how these strategies work, see the Enzo Azure API Online Help. Here is an example code that performs parallel requests using the GUID strategy (which executes more than 2 t o3 times faster than the sequential methods discussed previously): public List<MyData2> FetchAllEntitiesGUID() {     AzureTable at = new AzureTable(_accountName, _accountKey, _ssl, _tableName);     List<MyData2> res = at.FetchWithGuid<MyData2>("", "Message,Level,Severity");     return res; } Faster Results With Sequential Fetch Methods Developing a faster API wasn’t a primary objective; but it appears that the performance tests performed with the Enzo Azure API deliver the data a little faster out of the box (5%-10% on average, and sometimes to up 50% faster) with the sequential fetch methods. Although the amount of data is the same regardless of the approach (and the REST calls are almost exactly identical), the object mapping approach is different. So it is likely that the slight performance increase is due to a lighter API. Using LINQ offers many advantages and tremendous flexibility; nevertheless when fetching data it seems that the Enzo Azure API delivers faster.  For example, the same code previously discussed delivered the following results when fetching 3,000 entities (about 1KB each). The average elapsed time shows that the Azure SDK returned the 3000 entities in about 5.9 seconds on average, while the Enzo Azure API took 4.2 seconds on average (39% improvement). With Fetch Strategies When using the fetch strategies we are no longer comparing apples to apples; the Azure SDK is not designed to implement fetch strategies out of the box, so you would need to code the strategies yourself. Nevertheless I wanted to provide out of the box capabilities, and as a result you see a test that returned about 10,000 entities (1KB each entity), and an average execution time over 5 runs. The Azure SDK implemented a sequential fetch while the Enzo Azure API implemented the List fetch strategy. The fetch strategy was 2.3 times faster. Note that the following test hit a limit on my network bandwidth quickly (3.56Mbps), so the results of the fetch strategy is significantly below what it could be with a higher bandwidth. Additional Methods The API wouldn’t be complete without support for a few important methods other than the fetch methods discussed previously. The Enzo Azure API offers these additional capabilities: - Support for batch updates, deletes and inserts - Conversion of entities to DataRow, and List<> to a DataTable - Extension methods for Delete, Merge, Update, Insert - Support for asynchronous calls and cancellation - Support for fetch statistics (total bytes, total REST calls, retries…) For more information, visit http://www.bluesyntax.net or go directly to the Enzo Azure API page (http://www.bluesyntax.net/EnzoAzureAPI.aspx). About Herve Roggero Herve Roggero, Windows Azure MVP, is the founder of Blue Syntax Consulting, a company specialized in cloud computing products and services. Herve's experience includes software development, architecture, database administration and senior management with both global corporations and startup companies. Herve holds multiple certifications, including an MCDBA, MCSE, MCSD. He also holds a Master's degree in Business Administration from Indiana University. Herve is the co-author of "PRO SQL Azure" from Apress and runs the Azure Florida Association (on LinkedIn: http://www.linkedin.com/groups?gid=4177626). For more information on Blue Syntax Consulting, visit www.bluesyntax.net.

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• Amazon S3 as secure backup without multiple invoices

  - by Tom Viner

  I'm storing copies of database backups on Amazon S3 using the Python Boto library. But I worry that if my web server was hacked, those backups could be deleted using the credentials I need to do the upload. Ok, so I know you can grant permissions to another Amazon email address, so I can imagine doing that after an upload then removing the original user's write access BUT in this scenario I now end up with 2 accounts and 2 sets of invoices to give to accounts every month. Is there a solution to this that doesn't require a new Amazon account for each web server I run?

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• AWS ECS API - ItemLookup - Get item's (EAN) SalesRank by BrowseNode

  - by Lysender

  I'm using amazon japan, using ItemLookup. We already have the EAN numbers (used as ItemId). It was working well until we need to modify the SalesRank. The previous SalesRank returned is for the whole SearchIndex, ex: Books, Music, etc. What we want is to get the SalesRank for a specific BrowseNode. I don't know but it seems that it is not implemented on Amazon US. For example: http: // www . amazon . com / Slackware-Essentials-Cantrell-Johnson-Lumens/dp/1571763384/ref=sr_1_1?ie=UTF8&s=books&qid=1276142663&sr=1-1 The book above only shows the SalesRank (Bestsellers Rank) but on Japan Amazon: http://www.amazon.co.jp/Slackware-Linux-Dummies/dp/0764506897/ref=sr_1_4?ie=UTF8&s=english-books&qid=1276142708&sr=1-4 It shows SalesRank for other three different BrowseNodes. We need to get the SalesRank for a specific BrowseNode for a given ItemId or by any other means. Any ideas guys? TIA

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• Custom Windows AMI for Amazon EC2

  - by cutyMiffy

  Hello: I am new to the Amazon EC2 services and I am planning to host a Windows based vm on Amazon. I have lot of fuzziness about AMIs on Amazon. So my first question would be, am I be able to install softwares and frameworks(e.g. Silverlight, .NET, etc) on a existing Windows instance that I select? And if not, how can I create a custom AMI so that I can install these softwares that I need before I submit it to Amamzon and launch? Thanks a lot for your help :) Deeply appriciated

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• Godaddy registrar and Amazon Web Services EC2/Route 53

  - by soshannad

  Ok - I currently have a site hosted on Godaddy and they are the registrar for my domain. My goal is to have my site hosted on AWS with an EC2 server, which I have already set up and it is ready to go. In order to migrate my domain name to Amazon I have set up an A record with Godaddy and another A record with Route 53 (Amazon's routing service) with both of them pointing to the new static IP of the AWS site. My question is - Godaddy told me that I should leave my nameservers as Godaddy since my email is with them and set up an MX record wit Amazon pointing to it. Does this sound correct? Can you leave nameservers with Godaddy and have A records pointed to the new IP? Are there any benefits/cons to this? *FOR THE RECORD - My site is DOWN right now after doing the change - Godaddy says it will take 2 hours to come back, but I'm not sure if their nameserver recommendation is correct.

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• magento, making a grouped product show on sale based on product children prices

  - by thrice801

  Hi, Question regarding Magento and sale items. So I have to use grouped items to link multiple items which are the same style but different colors, these are the items I have showing on my search results/category pages. - I am trying to figure out how I can make the master sku, show as on sale, when the children items are marked on sale. I am able to make it show up on the product page, but anytime I have tried calling any of the getchildren methods outside of grouped.phtml, I have failed, horribly. I think I worked on that method for probably 36 hours unsuccessfully calling it from any other page. So, I thought I would ask here. Does anyone know how I could call the getchildskus or whatever it is method, from the category page, so that I can do something like, for each child product, compare sale price with active price, if there is a difference, calculate the percentage off, and display the largest difference as "ON SALE, UP TO 30% OFF!", or whatever it may be? Any help would be much appreciated. (oh, and I cant set a price on the main group sku, I sell sunglasses and watches mainly and many times a different color will differ in price quite significantly.)

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