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  • need help with automating a CMD java tool whcih qurries alexa AWS using batch

    - by Eli.C
    Hi everyone, I need to get all available info on 600 URLs from "Alexa Web Information Service", I downloaded the java tool and I'm able to run a single query each time with a single switch/Response Group. I would like to ask how to write a batch file that would automate the process ? the java tool runs from the CMD with the following: C:java UrlInfo (key1) (key2) (URL) (Response Group) UrlInfo - constant key1 - constant key2 -constant URL - variable (I guess I need to use the "(" sign to read from a file) Response Group - variable - (14 total, and I need to run each Response Group on each of the URLs once ) the app returns data in clear text formatted as XML after each query, here is an example: C:java UrlInfo (key1) (key2) www.url.com Rank Response: (?xml version="1.0"?) (aws:UrlInfoResponse xmlns:aws="http://alexa.amazonaws.com/doc/2005-10-05/") (aws:Response xmlns:aws="http://awis.amazonaws.com/doc/2005-07-11") (aws:OperationRequest) (aws:RequestId)ec2b6-e8ae-b392(/aws:RequestId) (/aws:OperationRequest) (aws:UrlInfoResult) (aws:Alexa) (aws:TrafficData) (aws:DataUrl type="canonical")url.com/(/aws:DataUrl) (aws:Rank)472906(/aws:Rank) (/aws:TrafficData) (/aws:Alexa) (/aws:UrlInfoResult) (aws:ResponseStatus xmlns:aws="http://alexa.amazonaws.com/doc/2005-10-05/") (aws:StatusCode)Success(/aws:StatusCode) (/aws:ResponseStatus) (/aws:Response) (/aws:UrlInfoResponse) Any help would be really appreciated Thanks and regards Eli.C

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  • need help with automating a CMD java tool which queries alexa AWS using batch

    - by Eli.C
    Hi everyone, I need to get all available info on 600 URLs from "Alexa Web Information Service", I downloaded the java tool and I'm able to run a single query each time with a single switch/Response Group. I would like to ask how to write a batch file that would automate the process? The java tool runs from the CMD with the following: C:\>java UrlInfo (key1) (key2) (URL) (Response Group) UrlInfo - constant key1 - constant key2 -constant URL - variable (I guess I need to use the "(" sign to read from a file) Response Group - variable - (14 total, and I need to run each Response Group on each of the URLs once ) the app returns data in clear text formatted as XML after each query, here is an example: C:\>java UrlInfo (key1) (key2) www.url.com Rank Response: (?xml version="1.0"?) (aws:UrlInfoResponse xmlns:aws="http://alexa.amazonaws.com/doc/2005-10-05/") (aws:Response xmlns:aws="http://awis.amazonaws.com/doc/2005-07-11") (aws:OperationRequest) (aws:RequestId)ec2b6-e8ae-b392(/aws:RequestId) (/aws:OperationRequest) (aws:UrlInfoResult) (aws:Alexa) (aws:TrafficData) (aws:DataUrl type="canonical")url.com/(/aws:DataUrl) (aws:Rank)**472906**(/aws:Rank) (/aws:TrafficData) (/aws:Alexa) (/aws:UrlInfoResult) (aws:ResponseStatus xmlns:aws="http://alexa.amazonaws.com/doc/2005-10-05/") (aws:StatusCode)Success(/aws:StatusCode) (/aws:ResponseStatus) (/aws:Response) (/aws:UrlInfoResponse) Any help would be really appreciated Thanks and regards Eli.C

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  • Implementing the Reactive Manifesto with Azure and AWS

    - by Elton Stoneman
    Originally posted on: http://geekswithblogs.net/EltonStoneman/archive/2013/10/31/implementing-the-reactive-manifesto-with-azure-and-aws.aspxMy latest Pluralsight course, Implementing the Reactive Manifesto with Azure and AWS has just been published! I’d planned to do a course on dual-running a messaging-based solution in Azure and AWS for super-high availability and scale, and the Reactive Manifesto encapsulates exactly what I wanted to do. A “reactive” application describes an architecture which is inherently resilient and scalable, being event-driven at the core, and using asynchronous communication between components. In the course, I compare that architecture to a classic n-tier approach, and go on to build out an app which exhibits all the reactive traits: responsive, event-driven, scalable and resilient. I use a suite of technologies which are enablers for all those traits: ASP.NET SignalR for presentation, with server push notifications to the user Messaging in the middle layer for asynchronous communication between presentation and compute Azure Service Bus Queues and Topics AWS Simple Queue Service AWS Simple Notification Service MongoDB at the storage layer for easy HA and scale, with minimal locking under load. Starting with a couple of console apps to demonstrate message sending, I build the solution up over 7 modules, deploying to Azure and AWS and running the app across both clouds concurrently for the whole stack - web servers, messaging infrastructure, message handlers and database servers. I demonstrating failover by killing off bits of infrastructure, and show how a reactive app deployed across two clouds can survive machine failure, data centre failure and even whole cloud failure. The course finishes by configuring auto-scaling in AWS and Azure for the compute and presentation layers, and running a load test with blitz.io. The test pushes masses of load into the app, which is deployed across four data centres in Azure and AWS, and the infrastructure scales up seamlessly to meet the load – the blitz report is pretty impressive: That’s 99.9% success rate for hits to the website, with the potential to serve over 36,000,000 hits per day – all from a few hours’ build time, and a fairly limited set of auto-scale configurations. When the load stops, the infrastructure scales back down again to a minimal set of servers for high availability, so the app doesn’t cost much to host unless it’s getting a lot of traffic. This is my third course for Pluralsight, with Nginx and PHP Fundamentals and Caching in the .NET Stack: Inside-Out released earlier this year. Now that it’s out, I’m starting on the fourth one, which is focused on C#, and should be out by the end of the year.

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  • Connect to RDS inside a VPC using Opsworks located in another VPC

    - by Consuelo Merino
    I have a RDS instance (mysql) inside a VPC called vpc-a (10.0.0.0/16). This instance is private, it can only be accessed from vpc-a. We created a stack on opsworks inside another VPC called vpc-b (10.1.0.0). We want to connect opsworks to the RDS but it doesn't work. It refuses to connect. I tried adding said subnet to the RDS security group. Also read a lot of documentation but I haven't stumbled across the answer. Any help would be greatly appreciated.

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  • How do you transfer AWS RDS snap shot to a different AWS account

    - by Webmonger
    Hi I have an RDS database that I need to transfer a snapshot of to another AWS account. I understand there are issues being able to do this between availability zones so I'm really unsure if this is possible. The RDS instance is mySql. If it's not possible to transfer the snapshot please could you explain how to transfer the data from one RDS instance to another without downloading any if the contents(The DB is over 200GB). Thanks in advance

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  • Is it better to have AWS EC2 and RDS is the same Availability Zone?

    - by Dan
    I run a web app in an AWS EC2 instance and the database for the app in an RDS instance both in Amazon Web Services Region East-1. However, one of them is in Availability Zone 1a and the other is in 1d. Am I getting all the speed benefits of having both instances in the same "data center" (East-1) even if they are in different Availability Zones, or can I optimize by moving them to the same Availability Zone?

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  • AWS .NET SDK v2: setting up queues and topics

    - by Elton Stoneman
    Originally posted on: http://geekswithblogs.net/EltonStoneman/archive/2013/10/13/aws-.net-sdk-v2-setting-up-queues-and-topics.aspxFollowing on from my last post, reading from SQS queues with the new SDK is easy stuff, but linking a Simple Notification Service topic to an SQS queue is a bit more involved. The AWS model for topics and subscriptions is a bit more advanced than in Azure Service Bus. SNS lets you have subscribers on multiple different channels, so you can send a message which gets relayed to email address, mobile apps and SQS queues all in one go. As the topic owner, when you request a subscription on any channel, the owner needs to confirm they’re happy for you to send them messages. With email subscriptions, the user gets a confirmation request from Amazon which they need to reply to before they start getting messages. With SQS, you need to grant the topic permission to write to the queue. If you own both the topic and the queue, you can do it all in code with the .NET SDK. Let’s say you want to create a new topic, a new queue as a topic subscriber, and link the two together. Creating the topic is easy with the SNS client (which has an expanded name, AmazonSimpleNotificationServiceClient, compare to the SQS class which is just called QueueClient): var request = new CreateTopicRequest(); request.Name = TopicName; var response = _snsClient.CreateTopic(request); TopicArn = response.TopicArn; In the response from AWS (which I’m assuming is successful), you get an ARN – Amazon Resource Name – which is the unique identifier for the topic. We create the queue using the same code from my last post, AWS .NET SDK v2: the message-pump pattern, and then we need to subscribe the queue to the topic. The topic creates the subscription request: var response = _snsClient.Subscribe(new SubscribeRequest { TopicArn = TopicArn, Protocol = "sqs", Endpoint = _queueClient.QueueArn }); That response will give you an ARN for the subscription, which you’ll need if you want to set attributes like RawMessageDelivery. Then the SQS client needs to confirm the subscription by allowing the topic to send messages to it. The SDK doesn’t give you a nice mechanism for doing that, so I’ve extended my AWS wrapper with a method that encapsulates it: internal void AllowSnsToSendMessages(TopicClient topicClient) { var policy = Policies.AllowSendFormat.Replace("%QueueArn%", QueueArn).Replace("%TopicArn%", topicClient.TopicArn); var request = new SetQueueAttributesRequest(); request.Attributes.Add("Policy", policy); request.QueueUrl = QueueUrl; var response = _sqsClient.SetQueueAttributes(request); } That builds up a policy statement, which gets added to the queue as an attribute, and specifies that the topic is allowed to send messages to the queue. The statement itself is a JSON block which contains the ARN of the queue, the ARN of the topic, and an Allow effect for the sqs:SendMessage action: public const string AllowSendFormat= @"{ ""Statement"": [ { ""Sid"": ""MySQSPolicy001"", ""Effect"": ""Allow"", ""Principal"": { ""AWS"": ""*"" }, ""Action"": ""sqs:SendMessage"", ""Resource"": ""%QueueArn%"", ""Condition"": { ""ArnEquals"": { ""aws:SourceArn"": ""%TopicArn%"" } } } ] }"; There’s a new gist with an updated QueueClient and a new TopicClient here: Wrappers for the SQS and SNS clients in the AWS SDK for .NET v2. Both clients have an Ensure() method which creates the resource, so if you want to create a topic and a subscription you can use:  var topicClient = new TopicClient(“BigNews”, “ImListening”); And the topic client has a Subscribe() method, which calls into the message pump on the queue client: topicClient.Subscribe(x=>Log.Debug(x.Body)); var message = {}; //etc. topicClient.Publish(message); So you can isolate all the fiddly bits and use SQS and SNS with a similar interface to the Azure SDK.

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  • How to point DNS records to Amazon AWS Elastic Beanstalk

    - by Lance
    I just created a new environment with AWS and uploaded a .zip file into elastic beanstalk. I used to have a friend's server host my site instead of GoDaddy so I changed my custom DNS name servers from pointing to my friend's server to GoDaddy's. AWS told me that I need I need to add a CNAME record on GoDaddy and I did. The alias is lance and the host is lance-env.elasticbeanstalk.com. I know that this change can take 24-48 hours to take effect but it's been a day already and when I go to my site, a default page from GoDaddy appears. I'm very new to AWS and would just like to find a way for AWS to host my site other than using Route53.

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  • AWS: setting up auto-scale for EC2 instances

    - by Elton Stoneman
    Originally posted on: http://geekswithblogs.net/EltonStoneman/archive/2013/10/16/aws-setting-up-auto-scale-for-ec2-instances.aspxWith Amazon Web Services, there’s no direct equivalent to Azure Worker Roles – no Elastic Beanstalk-style application for .NET background workers. But you can get the auto-scale part by configuring an auto-scaling group for your EC2 instance. This is a step-by-step guide, that shows you how to create the auto-scaling configuration, which for EC2 you need to do with the command line, and then link your scaling policies to CloudWatch alarms in the Web console. I’m using queue size as my metric for CloudWatch,  which is a good fit if your background workers are pulling messages from a queue and processing them.  If the queue is getting too big, the “high” alarm will fire and spin up a new instance to share the workload. If the queue is draining down, the “low” alarm will fire and shut down one of the instances. To start with, you need to manually set up your app in an EC2 VM, for a background worker that would mean hosting your code in a Windows Service (I always use Topshelf). If you’re dual-running Azure and AWS, then you can isolate your logic in one library, with a generic entry point that has Start() and Stop()  functions, so your Worker Role and Windows Service are essentially using the same code. When you have your instance set up with the Windows Service running automatically, and you’ve tested it starts up and works properly from a reboot, shut the machine down and take an image of the VM, using Create Image (EBS AMI) from the Web Console: When that completes, you’ll have your own AMI which you can use to spin up new instances, and you’re ready to create your auto-scaling group. You need to dip into the command-line tools for this, so follow this guide to set up the AWS autoscale command line tool. Now we’re ready to go. 1. Create a launch configuration This launch configuration tells AWS what to do when a new instance needs to be spun up. You create it with the as-create-launch-config command, which looks like this: as-create-launch-config sc-xyz-launcher # name of the launch config --image-id ami-7b9e9f12 # id of the AMI you extracted from your VM --region eu-west-1 # which region the new instance gets created in --instance-type t1.micro # size of the instance to create --group quicklaunch-1 #security group for the new instance 2. Create an auto-scaling group The auto-scaling group links to the launch config, and defines the overall configuration of the collection of instances: as-create-auto-scaling-group sc-xyz-asg # auto-scaling group name --region eu-west-1 # region to create in --launch-configuration sc-xyz-launcher # name of the launch config to invoke for new instances --min-size 1 # minimum number of nodes in the group --max-size 5 # maximum number of nodes in the group --default-cooldown 300 # period to wait (in seconds) after each scaling event, before checking if another scaling event is required --availability-zones eu-west-1a eu-west-1b eu-west-1c # which availability zones you want your instances to be allocated in – multiple entries means EC@ will use any of them 3. Create a scale-up policy The policy dictates what will happen in response to a scaling event being triggered from a “high” alarm being breached. It links to the auto-scaling group; this sample results in one additional node being spun up: as-put-scaling-policy scale-up-policy # policy name -g sc-psod-woker-asg # auto-scaling group the policy works with --adjustment 1 # size of the adjustment --region eu-west-1 # region --type ChangeInCapacity # type of adjustment, this specifies a fixed number of nodes, but you can use PercentChangeInCapacity to make an adjustment relative to the current number of nodes, e.g. increasing by 50% 4. Create a scale-down policy The policy dictates what will happen in response to a scaling event being triggered from a “low” alarm being breached. It links to the auto-scaling group; this sample results in one node from the group being taken offline: as-put-scaling-policy scale-down-policy -g sc-psod-woker-asg "--adjustment=-1" # in Windows, use double-quotes to surround a negative adjustment value –-type ChangeInCapacity --region eu-west-1 5. Create a “high” CloudWatch alarm We’re done with the command line now. In the Web Console, open up the CloudWatch view and create a new alarm. This alarm will monitor your metrics and invoke the scale-up policy from your auto-scaling group, when the group is working too hard. Configure your metric – this example will fire the alarm if there are more than 10 messages in my queue for over a minute: Then link the alarm to the scale-up policy in your group: 6. Create a “low” CloudWatch alarm The opposite of step 4, this alarm will trigger when the instances in your group don’t have enough work to do (e.g fewer than 2 messages in the queue for 1 minute), and will invoke the scale-down policy. And that’s it. You don’t need your original VM as the auto-scale group has a minimum number of nodes connected. You can test out the scaling by flexing your CloudWatch metric – in this example, filling up a queue from a  stub publisher – and watching AWS create new nodes as required, then stopping the publisher and watch AWS kill off the spare nodes.

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  • AWS .NET SDK v2: the message-pump pattern

    - by Elton Stoneman
    Originally posted on: http://geekswithblogs.net/EltonStoneman/archive/2013/10/11/aws-.net-sdk-v2--the-message-pump-pattern.aspxVersion 2 of the AWS SDK for .NET has had a few pre-release iterations on NuGet and is stable, if a bit lacking in step-by-step guides. There’s at least one big reason to try it out: the SQS queue client now supports asynchronous reads, so you don’t need a clumsy polling mechanism to retrieve messages. The new approach  is easy to use, and lets you work with AWS queues in a similar way to the message-pump pattern used in the latest Azure SDK for Service Bus queues and topics. I’ve posted a simple wrapper class for subscribing to an SQS hub on gist here: A wrapper for the SQS client in the AWS SDK for.NET v2, which uses the message-pump pattern. Here’s the core functionality in the subscribe method: private async void Subscribe() { if (_isListening) { var request = new ReceiveMessageRequest { MaxNumberOfMessages = 10 }; request.QueueUrl = QueueUrl; var result = await _sqsClient.ReceiveMessageAsync(request, _cancellationTokenSource.Token); if (result.Messages.Count > 0) { foreach (var message in result.Messages) { if (_receiveAction != null && message != null) { _receiveAction(message.Body); DeleteMessage(message.ReceiptHandle); } } } } if (_isListening) { Subscribe(); } } which you call with something like this: client.Subscribe(x=>Log.Debug(x.Body)); The async SDK call returns when there is something in the queue, and will run your receive action for every message it gets in the batch (defaults to the maximum size of 10 messages per call). The listener will sit there awaiting messages until you stop it with: client.Unsubscribe(); Internally it has a cancellation token which it sets when you call unsubscribe, which cancels any in-flight call to SQS and stops the pump. The wrapper will also create the queue if it doesn’t exist at runtime. The Ensure() method gets called in the constructor so when you first use the client for a queue (sending or subscribing), it will set itself up: if (!Exists()) { var request = new CreateQueueRequest(); request.QueueName = QueueName; var response = _sqsClient.CreateQueue(request); QueueUrl = response.QueueUrl; } The Exists() check has to do make a call to ListQueues on the SNS client, as it doesn’t provide its own method to check if a queue exists. That call also populates the Amazon Resource Name, the unique identifier for this queue, which will be useful later. To use the wrapper, just instantiate and go: var queueClient = new QueueClient(“ProcessWorkflow”); queueClient.Subscribe(x=>Log.Debug(x.Body)); var message = {}; //etc. queueClient.Send(message);

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  • Making HTML5 videos stored on AWS S3 **difficult** to download (because I cant make it impossible)

    - by Jimmery
    I am building a website that hosts video's stored on AWS's S3 service. The videos are played thru a HTML5 player we have built. Ive just been asked to make sure "nobody can steal our video's". Now I know that if you really don't want something stolen, don't put it up on the internet. However I just need to secure these videos as good as possible, the videos need to at the very least resist someone going thru the source code and trying to download them manually. One option available to me is to completely rebuild the video player in flash. This is not ideal, for several reasons, notably because I would also then have to build an App for mobile devices to be able to view this site. So I am looking for other options. I have heard about using a token to make the file available only during certain times. I have heard of using a separate file to serve the videos that sits between the HTML5 page and the video file. I am also having a look at IAM, the Secure AWS Access Control, in the hopes AWS can solve this problem for me. Can anyone here recommend any of these options? Or perhaps suggest other options available to me? Any help would be greatly appreciated.

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  • Does Google treat AWS IP addresses as related?

    - by ElHaix
    We are hosting several websites on one of our servers, and wondering if because they are on the same subnet that they have been somehow penalized. We are not inter-linking between websites. However in an attempt to have everything hosted in AWS, we will have some sites that we do want to be interlinked. If the sites resided on the same subnet, this could be bad. However, with AWS, we can allocate multiple elastic IP addresses that do reside on different subnets. How does Google deal with this?

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  • Incorrect deployment of WSGI app to AWS using Elastic Beanstalk

    - by Dzmitry Zhaleznichenka
    cross-link to AWS forums I have developed a simple Python web service using WSGI and would like to deploy it to AWS cloud using Elastic Beanstalk. My problem is I cannot make all the options I specify in Elastic Beanstalk configuration to be correctly configured in the cloud. For deployment, I use Elastic Beanstalk CLI utility. I have run eb init command and set up the required parameters. After this, a directory named .elasticbeanstalk was created in my source tree. It has two config files that are used for deployment, namely config and optionsettings. The latter one among the other options contains the WSGI configuration that has to update /etc/httpd/conf.d/wsgi.conf at the instances. After some of my adjustments the file has the following settings: [aws:elasticbeanstalk:application:environment] DJANGO_SETTINGS_MODULE = PARAM1 = PARAM2 = PARAM4 = PARAM3 = PARAM5 = [aws:elasticbeanstalk:container:python] WSGIPath = handler.py NumProcesses = 2 StaticFiles = /static= NumThreads = 10 [aws:elasticbeanstalk:container:python:staticfiles] /static = static/ [aws:elasticbeanstalk:hostmanager] LogPublicationControl = false [aws:autoscaling:launchconfiguration] InstanceType = t1.micro EC2KeyName = zmicier-aws [aws:elasticbeanstalk:application] Application Healthcheck URL = [aws:autoscaling:asg] MaxSize = 10 MinSize = 1 Custom Availability Zones = [aws:elasticbeanstalk:monitoring] Automatically Terminate Unhealthy Instances = true [aws:elasticbeanstalk:sns:topics] Notification Endpoint = Notification Protocol = email It turns out that not all of these options are considered when I start the environment or update it. Thus, when I update NumThreads or NumProcesses, the respective parameters get changed in wsgi.conf as expected. But whatever I write to the WSGIPath and StaticFiles parameters, I'm not able to automatically change the respective values of wsgi.conf, they remain Alias /static /opt/python/current/app/ WSGIScriptAlias / /opt/python/current/app/application.py which drives me nuts. Moreover, when I deploy my application using git aws.push and having the following contents of .ebextensions/python.config file, neither of options I specify in it affects the deployment. option_settings: - namespace: aws:elasticbeanstalk:container:python option_name: WSGIPath value: mysite/wsgi.py - namespace: aws:elasticbeanstalk:container:python option_name: NumProcesses value: 5 - namespace: aws:elasticbeanstalk:container:python option_name: NumThreads value: 25 - namespace: aws:elasticbeanstalk:container:python:staticfiles option_name: /static/ value: app/static/ I wonder what I should do to force AWS use all the parameters I specify in the configuration, namely the WSGI Path and path to my static data.

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  • Amazon AWS EC2 + Puppet, get Puppet to know AWS instance tags

    - by Piotr Jasiulewicz
    I am having a problem with my AWS deployment, fairly new to AWS and Puppet. So coming to my question - can you distinguish puppet nodes with AWS machine tags or CNAME domains? A little background about the plan: have multiple clusters of machines, one php cluster, one legacy php cluster, one java cluster, one perl cluster control configuration with puppet - still pretty new to puppet but as a developer I like the idea of being able to version control configuration of servers have autoscaling enabled on those clusters - obviously the main benefit of the cloud that makes the much hight cost when it comes to any reasonable performance worth it (those amazon machines are slower than my phone...) deployment controlled by Capistrano, this makes things a lot easier So in AWS you get those super nasty public/private machine dns's... no way you can identify machines on those. In order to easer the problem, seams like AWS want's you to tag everything - so I did. Found a script that makes a CNAME record for each machine with the tag "ShortName" thanks to the Route53 API. Every machine has a ShortName tag that becomes its CNAME, unfortunately puppet still resolves the private dns name. I'd like to have node 'perl-cluster'{} in puppet, anyone any clue ho to achieve this? Thanks

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  • How do I use XML prefixes in C#?

    - by Andrew Mock
    EDIT: I have now published my app: http://pastebin.com/PYAxaTHU I was trying to make console-based application that returns my temperature. using System; using System.Xml; namespace GetTemp { class Program { static void Main(string[] args) { XmlDocument doc = new XmlDocument(); doc.LoadXml(downloadWebPage( "http://www.andrewmock.com/uploads/example.xml" )); XmlNamespaceManager man = new XmlNamespaceManager(doc.NameTable); man.AddNamespace("aws", "www.aws.com/aws"); XmlNode weather = doc.SelectSingleNode("aws:weather", man); Console.WriteLine(weather.InnerText); Console.ReadKey(false); } } } Here is the sample XML: <aws:weather xmlns:aws="http://www.aws.com/aws"> <aws:api version="2.0"/> <aws:WebURL>http://weather.weatherbug.com/WA/Kenmore-weather.html?ZCode=Z5546&Units=0&stat=BOTHL</aws:WebURL> <aws:InputLocationURL>http://weather.weatherbug.com/WA/Kenmore-weather.html?ZCode=Z5546&Units=0</aws:InputLocationURL> <aws:station requestedID="BOTHL" id="BOTHL" name="Moorlands ES" city="Kenmore" state=" WA" zipcode="98028" country="USA" latitude="47.7383346557617" longitude="-122.230278015137"/> <aws:current-condition icon="http://deskwx.weatherbug.com/images/Forecast/icons/cond024.gif">Mostly Cloudy</aws:current-condition> <aws:temp units="&deg;F">40.2</aws:temp> <aws:rain-today units=""">0</aws:rain-today> <aws:wind-speed units="mph">0</aws:wind-speed> <aws:wind-direction>WNW</aws:wind-direction> <aws:gust-speed units="mph">5</aws:gust-speed> <aws:gust-direction>NW</aws:gust-direction> </aws:weather> I'm just not sure how to use XML prefixes correctly here. What is wrong with this?

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  • Why would you dual-run an app on Azure and AWS?

    - by Elton Stoneman
    Originally posted on: http://geekswithblogs.net/EltonStoneman/archive/2013/11/10/why-would-you-dual-run-an-app-on-azure-and-aws.aspxI had this question from a viewer of my Pluralsight course, Implementing the Reactive Manifesto with Azure and AWS, and thought I’d publish the response. So why would you dual-run your cloud app by hosting it on Azure and AWS? Sounds like a lot of extra development and management overhead. Well the most compelling reasons are reliability and portability. In 2012 I was working for a client who was making a big investment in the cloud, and at the end of the year we published their first external API for business partners. It was hosted in Azure and used some really nice features to route back into existing on-premise services. We were able to publish a clean, simple API to partners, and hide away the underlying complexity of the internal services while still leveraging them to do all the work. Two days after we went live, we were hit by the Azure SSL certificate expiry outage, and our API was unavailable for the best part of 3 days. Fortunately we had planned a gradual roll-out to partners, so the impact was minimal, but we’d been intending to ramp up quickly, and if the outage had happened a week or two later we would have been in a very bad place. Not least because our app could only run on Azure, we couldn’t package it up for another service without going back and reworking the code. More recently AWS had an issue with a networking device in one of their data centres which caused an outage that took the best part of a day to resolve. In both scenarios the SLAs are worthless, as you’ll get back a small percentage of your cloud expenditure, which is going to be negligible compared to your costs in dealing with the outage. And if your app is built specifically for AWS or Azure then if there’s an extended outage you can’t just deploy it onto a new set of kit from a different supplier. And the chances are pretty good there will be another extended outage, both for Microsoft and for Amazon. But the chances are small that it will happen to both at the same time. So my basic guidance has been: ignore the SLAs, go for better uptime by using two clouds. As soon as you need to scale beyond a single instance, start by scaling out to another cloud. Then scale out to different data centres in both clouds. Then you’ve got dual-cloud, quadruple-datacentre redundancy, so any more scaling you need can be left to the clouds to auto-scale themselves. By running in both clouds, you’ve made your app portable, so in the highly unlikely event that both AWS and Azure go down in multiple regions, you’ll have a deployment package which will let you spin up a new stack on yet another cloud, without having to rework your solution.

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  • Amazon Web Services (AWS) Plug-in for Oracle Enterprise Manager

    - by Anand Akela
    v\:* {behavior:url(#default#VML);} o\:* {behavior:url(#default#VML);} w\:* {behavior:url(#default#VML);} .shape {behavior:url(#default#VML);} Normal 0 false false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Calibri","sans-serif"; mso-bidi-font-family:"Times New Roman";} Contributed by Sunil Kunisetty and Daniel Chan Introduction and ArchitectureAs more and more enterprises deploy some of their non-critical workload on Amazon Web Services (AWS), it’s becoming critical to monitor those public AWS resources along side with their on-premise resources. Oracle recently announced Oracle Enterprise Manager Plug-in for Amazon Web Services (AWS) allows you to achieve that goal. The on-premise Oracle Enterprise Manager (EM12c) acts as a single tool to get a comprehensive view of your public AWS resources as well as your private cloud resources.  By deploying the plug-in within your Cloud Control environment, you gain the following management features: Monitor EBS, EC2 and RDS instances on Amazon Web Services Gather performance metrics and configuration details for AWS instances Raise alerts and violations based on thresholds set on monitoring Generate reports based on the gathered data Users of this Plug-in can leverage the rich Enterprise Manager features such as system promotion, incident generation based on thresholds, integration with 3rd party ticketing applications etc. AWS Monitoring via this Plug-in is enabled via Amazon CloudWatch API and the users of this Plug-in are responsible for supplying credentials for accessing AWS and the CloudWatch API. This Plug-in can only be deployed on an EM12C R2 platform and agent version should be at minimum 12c R2.Here is a pictorial view of the overall architecture: Amazon Elastic Block Store (EBS) Amazon Elastic Compute Cloud (EC2) Amazon Relational Database Service (RDS) Here are a few key features: Rich and exhaustive list of metrics. Metrics can be gathered from an Agent running outside AWS. Critical configuration information. Custom Home Pages with charts and AWS configuration information. Generate incidents based on thresholds set on monitoring data. Discovery and Monitoring AWS instances can be added to EM12C either via the EM12c User Interface (UI) or the EM12c Command Line Interface ( EMCLI)  by providing the AWS credentials (Secret Key and Access Key Id) as well as resource specific properties as target properties. Here is a quick mapping of target types and properties for each AWS resources AWS Resource Type Target Type Resource specific properties EBS Resource Amazon EBS Service CloudWatch base URI, EC2 Base URI, Period, Volume Id, Proxy Server and Port EC2 Resource Amazon EC2 Service CloudWatch base URI, EC2 Base URI, Period, Instance  Id, Proxy Server and Port RDS Resource Amazon RDS Service CloudWatch base URI, RDS Base URI, Period, Instance  Id, Proxy Server and Port Proxy server and port are optional and are only needed if the agent is within the firewall. Here is an emcli example to add an EC2 target. Please read the Installation and Readme guide for more details and step-by-step instructions to deploy  the plugin and adding the AWS the instances. ./emcli add_target \       -name="<target name>" \       -type="AmazonEC2Service" \       -host="<host>" \       -properties="ProxyHost=<proxy server>;ProxyPort=<proxy port>;EC2_BaseURI=http://ec2.<region>.amazonaws.com;BaseURI=http://monitoring.<region>.amazonaws.com;InstanceId=<EC2 instance Id>;Period=<data point periond>"  \     -subseparator=properties="=" ./emcli set_monitoring_credential \                 -set_name="AWSKeyCredentialSet"  \                 -target_name="<target name>"  \                 -target_type="AmazonEC2Service" \                 -cred_type="AWSKeyCredential"  \                 -attributes="AccessKeyId:<access key id>;SecretKey:<secret key>" Emcli utility is found under the ORACLE_HOME of EM12C install. Once the instance is discovered, the target will show up under the ‘All Targets’ list under “Amazon EC2 Service’. Once the instances are added, one can navigate to the custom homepages for these resource types. The custom home pages not only include critical metrics, but also vital configuration parameters and incidents raised for these instances.  By mapping the configuration parameters as instance properties, we can slice-and-dice and group various AWS instance by leveraging the EM12C Config search feature. The following configuration properties and metrics are collected for these Resource types. Resource Type Configuration Properties Metrics EBS Resource Volume Id, Volume Type, Device Name, Size, Availability Zone Response: Status Utilization: QueueLength, IdleTime Volume Statistics: ReadBrandwith, WriteBandwidth, ReadThroughput, WriteThroughput Operation Statistics: ReadSize, WriteSize, ReadLatency, WriteLatency EC2 Resource Instance ID, Owner Id, Root Device type, Instance Type. Availability Zone Response: Status CPU Utilization: CPU Utilization Disk I/O:  DiskReadBytes, DiskWriteBytes, DiskReadOps, DiskWriteOps, DiskReadRate, DiskWriteRate, DiskIOThroughput, DiskReadOpsRate, DiskWriteOpsRate, DiskOperationThroughput Network I/O : NetworkIn, NetworkOut, NetworkInRate, NetworkOutRate, NetworkThroughput RDS Resource Instance ID, Database Engine Name, Database Engine Version, Database Instance Class, Allocated Storage Size, Availability Zone Response: Status Disk I/O:  ReadIOPS, WriteIOPS, ReadLatency, WriteLatency, ReadThroughput, WriteThroughput DB Utilization:  BinLogDiskUsage, CPUUtilization, DatabaseConnections, FreeableMemory, ReplicaLag, SwapUsage Custom Home Pages As mentioned above, we have custom home pages for these target types that include basic configuration information,  last 24 hours availability, top metrics and the incidents generated. Here are few snapshots. EBS Instance Home Page: EC2 Instance Home Page: RDS Instance Home Page: Further Reading: 1)      AWS Plugin download 2)      Installation and  Read Me. 3)      Screenwatch on SlideShare 4)      Extensibility Programmer's Guide 5)      Amazon Web Services

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  • How to use SSL on AWS EC2

    - by Aubada Taljo
    Hello I have an AWS EC2 account and I am running an instance that serves as a web host for my PHP website... This is a private website that has no UI but only URLs to be requested by my other software to get some response from the server... I want the requests (that I send to the server) to be secured so I want to use https instead of http... so what should I do to achieve that? PS: I found this link while searching... but I don't know how useful it's in my situation http://matt-darby.com/posts/690-aws-ec2-and-ssl Thanks in advance Good luck

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  • Do you I think I should integrate something like AWS or other cloud service from the initial phases of my project?

    - by Kareem Ergawy
    Do you I think I should integrate something like AWS or other cloud service from the initial phases of my project or I should be working on the front and back end components regularly and integrate AWS later? I am starting to work on a mobile service. From day one, I wish to make sure that my service will be scalable and able to handle large loads of requests. This is my first time in architecting a large scale system from the beginning so I can't decide what is best.

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  • AWS Application - Subscription Payments Scheduled but Not Initializing

    - by nicorellius
    I briefly browsed the AWS forums but these are not nearly as easy to use and efficient as Stack Exchange derived ones, so here I am... the company I work for has an app on the AWS cloud. In general the app works well. However, since it is new, we haven't had many customers and the ones who signed up are now coming to the point where their subscriptions to our service should be renewed. In comes my question. When I query the database for payment status of certain subscriptions using the console, I get what I would expect: Instrument XYZ is on a Monthly subscription (subscription=xxxyyyzz). The subscription is active with an expiration date of 19 Apr 2010 10:43 Z The payment token will expire on 1 Dec 2012 12:00 Z There are xy runs remaining. The subscription fee of $XX.xx will be charged on 17 Apr 2010 10:43 Z OK, this is great. According to this, I would expect the next payment to be initiated on 17 Apr. The reason I am asking is because for a different user last month I got this same output but the payment never went through, i.e., was not initiated through Amazon payments. The user didn't see the payment go through and neither did we. It should be noted that the initial payments were received. The sign up process works and if the user goes to "pay" from within our app, they will be directed to https://payments.amazon.com to make their payment. Any ideas?

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  • Vagrant-aws not provisioning

    - by SuperCabbage
    I'm trying to spin up and provision an EC2 instance with Vagrant, it successfully creates the instance up and I can then use vagrant ssh to SSH into the it but Puppet doesn't seem to carry out any provisioning. Upon running vagrant up --provider=aws --provision I get the following output Bringing machine 'default' up with 'aws' provider... WARNING: Nokogiri was built against LibXML version 2.8.0, but has dynamically loaded 2.9.1 [default] Warning! The AWS provider doesn't support any of the Vagrant high-level network configurations (`config.vm.network`). They will be silently ignored. [default] Launching an instance with the following settings... [default] -- Type: m1.small [default] -- AMI: ami-a73264ce [default] -- Region: us-east-1 [default] -- Keypair: banderton [default] -- Block Device Mapping: [] [default] -- Terminate On Shutdown: false [default] Waiting for SSH to become available... [default] Machine is booted and ready for use! [default] Rsyncing folder: /Users/benanderton/development/projects/my-project/aws/ => /vagrant [default] Rsyncing folder: /Users/benanderton/development/projects/my-project/aws/manifests/ => /tmp/vagrant-puppet/manifests [default] Rsyncing folder: /Users/benanderton/development/projects/my-project/aws/modules/ => /tmp/vagrant-puppet/modules-0 [default] Running provisioner: puppet... An error occurred while executing multiple actions in parallel. Any errors that occurred are shown below. An error occurred while executing the action on the 'default' machine. Please handle this error then try again: No error message I can then SSH into the instance by using vagrant ssh but none of my provisioning has taken place, so I'm assuming that errors have occured but I'm not being given any useful information relating to them. My Vagrantfile is as following; Vagrant.configure("2") do |config| config.vm.box = "ubuntu_aws" config.vm.box_url = "https://github.com/mitchellh/vagrant-aws/raw/master/dummy.box" config.vm.provider :aws do |aws, override| aws.access_key_id = "REDACTED" aws.secret_access_key = "REDACTED" aws.keypair_name = "banderton" override.ssh.private_key_path = "~/.ssh/banderton.pem" override.ssh.username = "ubuntu" aws.ami = "ami-a73264ce" end config.vm.provision :puppet do |puppet| puppet.manifests_path = "manifests" puppet.module_path = "modules" puppet.options = ['--verbose'] end end My Puppet manifest is as following; package { [ 'build-essential', 'vim', 'curl', 'git-core', 'nano', 'freetds-bin' ]: ensure => 'installed', } None of the packages are installed.

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  • How to spread XML Sitemaps over several webservers behind AWS loadbalancer?

    - by Jurik
    We have a web portal with almost a million products and way more other urls. I wrote a script that checks database. If there is a new url needed or an old one update, this script will update/create the XML Sitemaps. But we have several servers behind the load balancer at our rented AWS space. Further this script checks database for each url if there was an update so that it updates the appropriate xml file too. My question is how to spread those XML Sitemaps over all webservers behind this AWS load balancer? Our approaches/ideas: we could just generate them on one server with a cron job and copy them to the other servers, but this could be difficult because of automatic raising numbers of servers and so on. we put them on our S3 - but this one is not avaible thru our domain, so I guess google will have a problem with it I let my script run on every webserver but change it in a way that it will generate each time all xml files if they do not exist. But then I would have conflicts with updated URLs in my database, where I saved timestamp of last changed value of every url Is there another - better - solution that I do not know? Are there any special services by amazon for such cases?

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  • creating existing users on AWS when they don't have a group

    - by Jon Strayer
    It seems when chef creates a user with the id of "foobar" it also creates a group with the id of "foobar". AWS doesn't do that. So, when I run my create users script via Opsworks it blows up on the first user that already exists because the group doesn't. I thought there was a way to say create the user but not the group, but I can't find it. What's the best way to solve this problem? Can I: Tell chef to not create the user's group? Tell chef to create it if the user exists but the group doesn't? Write a script that finds the existing users and creates groups for them? Something else?

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  • AWS EC2 - How to specify an IAM role for an instance being launched via awscli

    - by Skaperen
    I am using the "aws ec2 run-instances" command (from the awscli package) to launch an instance in AWS EC2. I want to set an IAM role on the instance I am launching. The IAM role is configured and I can use it successfully when launching an instance from the AWS web UI. But when I try to do this using that command, and the "--iam-instance-profile" option, it failed. Doing "aws ec2 run-instances help" shows Arn= and Name= subfields for the value. When I try to look up the Arn using "aws iam list-instance-profiles" it gives this error message: A client error (AccessDenied) occurred: User: arn:aws:sts::xxxxxxxxxxxx:assumed-role/shell/i-15c2766d is not authorized to perform: iam:ListInstanceProfiles on resource: arn:aws:iam::xxxxxxxxxxxx:instance-profile/ (where xxxxxxxxxxxx is my AWS 12-digit account number) I looked up the Arn string via the web UI and used that via "--iam-instance-profile Arn=arn:aws:iam::xxxxxxxxxxxx:instance-profile/shell" on the run-instances command, and that failed with: A client error (UnauthorizedOperation) occurred: You are not authorized to perform this operation. If I leave off the "--iam-instance-profile" option entirely, the instance will launch but it will not have the IAM role setting I need. So the permission seems to have something to do with using "--iam-instance-profile" or accessing IAM data. I repeated several times in case of AWS glitches (they happen sometimes) and no success. I suspected that perhaps there is a restriction that an instance with an IAM role is not allowed to launch an instance with a more powerful IAM role. But in this case, the instance I am doing the command in has the same IAM role that I am trying to use. named "shell" (though I also tried using another one, no luck). Is setting an IAM role not even permitted from an instance (via its IAM role credentials)? Is there some higher IAM role permission needed to use IAM roles, than is needed for just launching a plain instance? Is "--iam-instance-profile" the appropriate way to specify an IAM role? Do I need to use a subset of the Arn string, or format it in some other way? Is it possible to set up an IAM role that can do any IAM role accesses (maybe a "Super Root IAM" ... making up this name)? FYI, everything involves Linux running on the instances. Also, I am running all this from an instance because I could not get these tools installed on my desktop. That and I do not want to put my IAM user credentials on any AWS storage as advised by AWS here. after answered: I did not mention the launching instance permission of "PowerUserAccess" (vs. "AdministratorAccess") because I did not realize additional access was needed at the time the question was asked. I assumed that the IAM role was "information" attached to the launch. But it really is more than that. It is a granting of permission.

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  • AWS Amazon EC2 - password-less SSH login for non-root users using PEM keypairs

    - by Mark White
    We've got a couple of clusters running on AWS (HAProxy/Solr, PGPool/PostgreSQL) and we've setup scripts to allow new slave instances to be auto-included into the clusters by updating their IPs to config files held on S3, then SSHing to the master instance to kick them to download the revised config and restart the service. It's all working nicely, but in testing we're using our master pem for SSH which means it needs to be stored on an instance. Not good. I want a non-root user that can use an AWS keypair who will have sudo access to run the download-config-and-restart scripts, but nothing else. rbash seems to be the way to go, but I understand this can be insecure unless setup correctly. So what security holes are there in this approach: New AWS keypair created for user.pem (not really called 'user') New user on instances: user Public key for user is in ~user/.ssh/authorized_keys (taken by creating new instance with user.pem, and copying it from /root/.ssh/authorized_keys) Private key for user is in ~user/.ssh/user.pem 'user' has login shell of /home/user/bin/rbash ~user/bin/ contains symbolic links to /bin/rbash and /usr/bin/sudo /etc/sudoers has entry "user ALL=(root) NOPASSWD: ~user/.bashrc sets PATH to /home/user/bin/ only ~user/.inputrc has 'set disable-completion on' to prevent double tabbing from 'sudo /' to find paths. ~user/ -R is owned by root with read-only access to user, except for ~user/.ssh which has write access for user (for writing known_hosts), and ~user/bin/* which are +x Inter-instance communication uses 'ssh -o StrictHostKeyChecking=no -i ~user/.ssh/user.pem user@ sudo ' Any thoughts would be welcome. Mark...

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