Each SNS notification will contain not more than one message.

Refer Reliability section in SNS FAQ : https://aws.amazon.com/sns/faqs/

Having said that, each lambda function trigger will have just a single record

Just ran into the same thing, and for posterity, I think it is worth adding that in the official AWS tutorial, they rely on there being exactly one record:

https://docs.aws.amazon.com/lambda/latest/dg/with-sns-create-package.html



Lets say I have:

    var someValues = [1, &#39;abc&#39;, 3, &#39;sss&#39;];

How can I use an arrow function to loop through each and perform an operation on each value?

Loop through array of values with Arrow Function

I have a webapp with which I&#39;m using flexbox for layout.

I&#39;m trying to both fill the screen (it&#39;s an app, not a document), and as far as possible to not specify any fixed widths or heights as the content could be all sorts of things (Full fluid layout! The dream!)

So I need fluid height, full width headers and footers, and then a main panel in the middle filling the remaining vertical space, divided into columns, each of which scrolls when too high, and where the width of each non-primary column should shrink to fit its content, and a primary column which uses up the remaining space.

I am so close, but have had to resort to explicitly sizing the non-main columns - I believe that `flex-basis: content;` is supposed to do this but isn&#39;t supported by browsers yet.

Here&#39;s a [**minimal demo**](http://jsfiddle.net/4ovu226m/) showing fixed size columns:


&lt;!-- begin snippet: js hide: true console: true babel: false --&gt;

&lt;!-- language: lang-js --&gt;

    var list = document.querySelector(&#39;ul&#39;)

    for (var i = 0; i &lt; 100; i++) {
      var li = document.createElement(&#39;li&#39;)
      li.textContent = i
      list.appendChild(li)
    }

&lt;!-- language: lang-css --&gt;

    html,
    body {
      height: 100%;
      width: 100%;
      margin: 0;
    }
    body {
      display: flex;
      flex-direction: column;
    }
    main {
      display: flex;
      flex-direction: row;
      overflow: hidden;
    }
    main &gt; section {
      overflow-y: auto;
      flex-basis: 10em;
      /* Would be better if it were fluid width/shrink to fit, unsupported: */
      /* flex-basis: content; */
    }
    main &gt; section:last-child {
      display: flex;
      flex: auto;
      flex-direction: column;
    }
    main &gt; section:last-child &gt; textarea {
      flex: auto;
    }

&lt;!-- language: lang-html --&gt;

    &lt;header&gt;
      &lt;h1&gt;Heading&lt;/h1&gt;
    &lt;/header&gt;

    &lt;main&gt;
      &lt;section&gt;
        &lt;h1&gt;One&lt;/h1&gt;
        &lt;ul&gt;
        &lt;/ul&gt;
      &lt;/section&gt;

      &lt;section&gt;
        &lt;h1&gt;Two&lt;/h1&gt;
      &lt;/section&gt;

      &lt;section&gt;
        &lt;header&gt;
          &lt;h1&gt;Three&lt;/h1&gt;
        &lt;/header&gt;
        &lt;textarea&gt;&lt;/textarea&gt;
        &lt;footer&gt;
          &lt;p&gt;Footer&lt;/p&gt;
        &lt;/footer&gt;
      &lt;/section&gt;
    &lt;/main&gt;

    &lt;footer&gt;
      &lt;p&gt;Footer&lt;/p&gt;
    &lt;/footer&gt;

&lt;!-- end snippet --&gt;

Which looks like this - I want columns **One** and **Two** to shrink/grow to fit rather than being fixed:

[![enter image description here][1]][1]

My question is, is there a CSS-only workaround for `flex-basis: content`, or an alternative way to realise this goal? 

I can possibly live with fixing the column sizes as above, or using javascript, but I HAVE A DREAM DAMN IT.


  [1]: http://i.stack.imgur.com/nqdMO.png

Shrink to fit content in flexbox, or flex-basis: content workaround?

When receiving events in Lambda from SNS the outer structure of the event will look somewhat like:
{ &quot;Records&quot;: [...] }

In all the tutorials I have seen there has only ever been 1 record in the records field.

Is it safe to make the assumption that the &quot;Records&quot;-array will only ever contain 1 item?

When Lambda is invoked by SNS, will there always be just 1 record?

When receiving events in Lambda from SNS the outer structure of the event will look somewhat like:
{ "Records": [...] }
In all the tutorials I have seen there has only ever been 1 record in the records field.
Is it safe to make the assumption that the "Records"-array will only ever contain 1 item?

I created Amazon elasticsearch service and populated data into it using logstash, which has been installed on an EC2 instance. On the Amazon elasticservice console page, there will be a link to access Kibana.

    search-cluster_name-XXXXXXXXXXXXXXXXXXX.region_name.es.amazonaws.com/_plugin/kibana/
when I click the link, browser is throwing the following error.

    {&quot;Message&quot;:&quot;User: anonymous is not authorized to perform: es:ESHttpGet on resource: arn:aws:es:region_name:account_id:domain/cluster_name/_plugin/kibana/&quot;}

I&#39;m sure that this has something related with access policy of ES domain.How should I modify my access policy so that I can access Kibana from a click on the link specified ?

How to access Kibana from Amazon elasticsearch service?

Looking for a quick way to pull my account number, I had originally thought of using `aws iam get-account-authorization-details --max-items 1` but there are several issues with doing it this way. Is there a way to do this that might not cross account origins?

Quick way to get AWS Account number from the AWS CLI tools?

Is it possible to build a function in AWS Lambda that creates a websocket and send data to subscribed applications?

Something like this:

John has the app SuperPhotoApp opened in his phone but decides to use the desktop browser to upload a photo to the SuperPhotoApp service (a S3 Bucket), this event executes a Lambda function that creates a socket.io server and pushes the update to all subscribers, his phone had the app opened so the app automatically updates with the new photo.


This is something that can be done with push notifications or Amazon SNS, but what if I need real-time behaviour for example an online game where I need to update the position of a character.

If this is not possible with Lambda, is there any solution where I can update my opened app using a desktop browser?

Amazon EC2 is the only option? I&#39;ve read that it has problems with scaling, that&#39;s why I&#39;m commenting on Lambda.

Is it possible to use Socket.io with AWS Lambda?

I can view the log using the following command.

    aws logs get-log-events --log-group-name groupName --log-stream-name streamName --limit 100

what is the command to get feature like `tail -f` so that i can see the log real time


how to view aws log real time (like tail -f)

I&#39;ve just deployed a static website to Amazon S3, which can currently be viewed here: http://www.rdegges.com.s3-website-us-east-1.amazonaws.com/

If you click any of the article links, you&#39;ll notice the following error:

[![S3 Error][1]][1]

S3 is complaining the file doesn&#39;t exist. Now, here&#39;s what&#39;s weird about this -- I&#39;m using CloudFront on my domain. So when you click that article link, it&#39;s sending the request to CloudFront which then tries to fetch the file back from the S3 bucket.

However, if you visit that same URL from S3 directly, eg: http://www.rdegges.com.s3-website-us-east-1.amazonaws.com/2015/building-a-heroku-addon-planning/ the page will load just fine.

It appears that something is getting lost in translation here.

Anyone got a suggestion of what I can do to fix my settings?

  [1]: http://i.stack.imgur.com/c715j.png

CloudFront + S3 Website: &quot;The specified key does not exist&quot; when an implicit index document should be displayed

I am using `AWS` resources for my android project, I am planning to add push notification service for my project with `AWS SNS`.there are few questions bothering me much. I did not find any questions regarding these, except one or two but with unclear explanations.

1.Does `AWS` support `FCM`? `SNS` work with `GCM`. But Google recommends to use FCM instead of `GCM`. I did not find `AWS` supporting `FCM`.

2.Do `AWS` store messages (or data) into their databases even after sending push notifications?

3.I tried putting FCM api key in SNS application platform, it is showing invalid parameters why?

FCM with AWS SNS

I&#39;m trying to understand whether I need SQS in my workflow if someone can help explain. In my app, when an action is taken, it submits info to SNS topic which invokes Lambda to do some processing. This is working great as it is.

When I do research online, it seems that people are using SQS in this stack as well where SNS would put info on SQS and then SQS would then invoke Lambda. 

I guess what I&#39;m trying to understand is the need for SQS in this. What value does that add? In other words, what am I losing by invoking my Lambda directly from SNS?

SNS to Lambda vs SNS to SQS to Lambda

I&#39;ve created several Lambda functions using the web based editor. So far so good. I&#39;d now like to start extending those with modules (such as Q for promises). I can&#39;t figure out how to get the modules out to Lambda so they can be consumed by my functions.

I&#39;ve read through [this][1] but it seems to involve setting up an EC2 and running Lambda functions from there. There is a mechanism to upload a zip when creating a function but that seems to involve sending up functions developed locally. Since I&#39;m working in the web based editor that seems like a strange workflow. 

How can I simply deploy some modules for use in my Lambda functions?

  [1]: https://aws.amazon.com/blogs/compute/nodejs-packages-in-lambda/

How to load npm modules in AWS Lambda?

Here is the simplified scheme I am trying to make work:

&gt; http requests --&gt; (Gateway API + lambda A) --&gt; SQS --&gt; (lambda B
&gt; ?????) --&gt; DynamoDB

So it should work as shown: data coming from many http requests (up to 500 per second, for example)
is placed into SQS queue by my lambda function A. Then the other function, B, processes the queue: 
reads up to 10 items (on some periodical basis) and writes them to DynamoDB with BatchWriteItem.

The problem is that I can&#39;t figure out how to trigger the second lambda function. It should be called frequently, multiple times per second (or at least once per second), because I need all the data from the queue to get into DynamoDB ASAP (that&#39;s why calling lambda function B via scheduled events as described [here][1] is not a option)

----------

**Why don&#39;t I want to write directly into DynamoDB, without SQS?**

&lt;strike&gt;That would be great for me to avoid using SQS at all. The problem that I am trying to address with SQS is DynamoDB throttling. Not even throttling itself but the way it is handled while writing data to DynamoDB with AWS SDK: when writing records one by one and getting them throttled, AWS SDK silently retries writing, resulting in increasing of the request processing time from the http client&#39;s point of view.

So I would like to temporarily store data in the queue, send response &quot;200 OK&quot; back to client, and then get queue processed by separate function,
writing multiple records with one DynamoDB&#39;s BatchWriteItem call (which
returns Unprocessed items instead of automatic retry in case of throttling). **I would even prefer to lose some records** instead of increasing the lag between a record being received and stored in DynamoDB
&lt;/strike&gt;

**UPD:** If anyone is interested, I have found how to make aws-sdk skip automatic retries in case of throttling: there is a special parameter [maxRetries][2]. Anyway, going to use Kinesis as suggested below

  [1]: http://docs.aws.amazon.com/lambda/latest/dg/with-scheduled-events.html &quot;Using AWS Lambda with Scheduled Events&quot;
  [2]: http://docs.aws.amazon.com/AWSJavaScriptSDK/latest/AWS/Config.html#maxRetries-property 


How to process SQS queue with lambda function (not via scheduled events)?

I&#39;d like to generate video using `AWS Lambda` feature.

I&#39;ve followed instructions found [here][1] and [here][2].

And I now have the following process to build my `Lambda` function:

## Step 1 ##

Fire a `Amazon Linux EC2` instance and run this as root on it:

&lt;!-- language: lang-sh --&gt;

    #! /usr/bin/env bash
    
    # Install the SciPy stack on Amazon Linux and prepare it for AWS Lambda
    
    yum -y update
    yum -y groupinstall &quot;Development Tools&quot;
    yum -y install blas --enablerepo=epel
    yum -y install lapack --enablerepo=epel
    yum -y install atlas-sse3-devel --enablerepo=epel
    yum -y install Cython --enablerepo=epel
    yum -y install python27
    yum -y install python27-numpy.x86_64
    yum -y install python27-numpy-f2py.x86_64
    yum -y install python27-scipy.x86_64
    
    /usr/local/bin/pip install --upgrade pip
    mkdir -p /home/ec2-user/stack
    /usr/local/bin/pip install moviepy -t /home/ec2-user/stack
    
    cp -R /usr/lib64/python2.7/dist-packages/numpy /home/ec2-user/stack/numpy
    cp -R /usr/lib64/python2.7/dist-packages/scipy /home/ec2-user/stack/scipy
    
    tar -czvf stack.tgz /home/ec2-user/stack/*

## Step 2 ##

I scp the resulting tarball to my laptop. And then run this script to build a zip archive.

&lt;!-- language: lang-sh --&gt;

    #! /usr/bin/env bash
    
    mkdir tmp
    rm lambda.zip
    tar -xzf stack.tgz -C tmp
    
    zip -9 lambda.zip process_movie.py
    zip -r9 lambda.zip *.ttf
    cd tmp/home/ec2-user/stack/
    zip -r9 ../../../../lambda.zip *

`process_movie.py` script is at the moment only a test to see if the stack is ok:

&lt;!-- language: lang-py --&gt;

    def make_movie(event, context):
        import os
        print(os.listdir(&#39;.&#39;))
        print(os.listdir(&#39;numpy&#39;))
        try:
            import scipy
        except ImportError:
            print(&#39;can not import scipy&#39;)
    
        try:
            import numpy
        except ImportError:
            print(&#39;can not import numpy&#39;)
    
        try:
            import moviepy
        except ImportError:
            print(&#39;can not import moviepy&#39;)

## Step 3 ##

Then I upload the resulting archive to S3 to be the source of my `lambda` function.
When I test the function I get the following `callstack`:

    START RequestId: 36c62b93-b94f-11e5-9da7-83f24fc4b7ca Version: $LATEST
    [&#39;tqdm&#39;, &#39;imageio-1.4.egg-info&#39;, &#39;decorator.pyc&#39;, &#39;process_movie.py&#39;, &#39;decorator-4.0.6.dist-info&#39;, &#39;imageio&#39;, &#39;moviepy&#39;, &#39;tqdm-3.4.0.dist-info&#39;, &#39;scipy&#39;, &#39;numpy&#39;, &#39;OpenSans-Regular.ttf&#39;, &#39;decorator.py&#39;, &#39;moviepy-0.2.2.11.egg-info&#39;]
    [&#39;add_newdocs.pyo&#39;, &#39;numarray&#39;, &#39;__init__.py&#39;, &#39;__config__.pyc&#39;, &#39;_import_tools.py&#39;, &#39;setup.pyo&#39;, &#39;_import_tools.pyc&#39;, &#39;doc&#39;, &#39;setupscons.py&#39;, &#39;__init__.pyc&#39;, &#39;setup.py&#39;, &#39;version.py&#39;, &#39;add_newdocs.py&#39;, &#39;random&#39;, &#39;dual.pyo&#39;, &#39;version.pyo&#39;, &#39;ctypeslib.pyc&#39;, &#39;version.pyc&#39;, &#39;testing&#39;, &#39;dual.pyc&#39;, &#39;polynomial&#39;, &#39;__config__.pyo&#39;, &#39;f2py&#39;, &#39;core&#39;, &#39;linalg&#39;, &#39;distutils&#39;, &#39;matlib.pyo&#39;, &#39;tests&#39;, &#39;matlib.pyc&#39;, &#39;setupscons.pyc&#39;, &#39;setup.pyc&#39;, &#39;ctypeslib.py&#39;, &#39;numpy&#39;, &#39;__config__.py&#39;, &#39;matrixlib&#39;, &#39;dual.py&#39;, &#39;lib&#39;, &#39;ma&#39;, &#39;_import_tools.pyo&#39;, &#39;ctypeslib.pyo&#39;, &#39;add_newdocs.pyc&#39;, &#39;fft&#39;, &#39;matlib.py&#39;, &#39;setupscons.pyo&#39;, &#39;__init__.pyo&#39;, &#39;oldnumeric&#39;, &#39;compat&#39;]
    can not import scipy
    &#39;module&#39; object has no attribute &#39;core&#39;: AttributeError
    Traceback (most recent call last):
      File &quot;/var/task/process_movie.py&quot;, line 91, in make_movie
        import numpy
      File &quot;/var/task/numpy/__init__.py&quot;, line 122, in &lt;module&gt;
        from numpy.__config__ import show as show_config
      File &quot;/var/task/numpy/numpy/__init__.py&quot;, line 137, in &lt;module&gt;
        import add_newdocs
      File &quot;/var/task/numpy/numpy/add_newdocs.py&quot;, line 9, in &lt;module&gt;
        from numpy.lib import add_newdoc
      File &quot;/var/task/numpy/lib/__init__.py&quot;, line 13, in &lt;module&gt;
        from polynomial import *
      File &quot;/var/task/numpy/lib/polynomial.py&quot;, line 11, in &lt;module&gt;
        import numpy.core.numeric as NX
    AttributeError: &#39;module&#39; object has no attribute &#39;core&#39;
    
    END RequestId: 36c62b93-b94f-11e5-9da7-83f24fc4b7ca
    REPORT RequestId: 36c62b93-b94f-11e5-9da7-83f24fc4b7ca	Duration: 112.49 ms	Billed Duration: 200 ms 	Memory Size: 1536 MB	Max Memory Used: 14 MB

	
I cant understand why python does not found the core directory that is present in the folder structure.


EDIT:

Following @jarmod advice I&#39;ve reduced the `lambda`function to:

&lt;!-- language: lang-py --&gt;

    def make_movie(event, context):
        print(&#39;running make movie&#39;)
        import numpy

I now have the following error:

    START RequestId: 6abd7ef6-b9de-11e5-8aee-918ac0a06113 Version: $LATEST
    running make movie
    Error importing numpy: you should not try to import numpy from
            its source directory; please exit the numpy source tree, and relaunch
            your python intepreter from there.: ImportError
    Traceback (most recent call last):
      File &quot;/var/task/process_movie.py&quot;, line 3, in make_movie
        import numpy
      File &quot;/var/task/numpy/__init__.py&quot;, line 127, in &lt;module&gt;
        raise ImportError(msg)
    ImportError: Error importing numpy: you should not try to import numpy from
            its source directory; please exit the numpy source tree, and relaunch
            your python intepreter from there.
    
    END RequestId: 6abd7ef6-b9de-11e5-8aee-918ac0a06113
    REPORT RequestId: 6abd7ef6-b9de-11e5-8aee-918ac0a06113	Duration: 105.95 ms	Billed Duration: 200 ms 	Memory Size: 1536 MB	Max Memory Used: 14 MB

	

  [1]: http://docs.aws.amazon.com/lambda/latest/dg/with-s3-example-deployment-pkg.html#with-s3-example-deployment-pkg-python
  [2]: http://www.perrygeo.com/running-python-with-compiled-code-on-aws-lambda.html

Using moviepy, scipy and numpy in amazon lambda

I am creating a AWS Lambda python deployment package. I am using one external dependency requests . I installed the external dependency using the AWS documentation http://docs.aws.amazon.com/lambda/latest/dg/lambda-python-how-to-create-deployment-package.html. Below is my python code. 

    import requests
    
    print(&#39;Loading function&#39;)
    
    s3 = boto3.client(&#39;s3&#39;)
    
    
    def lambda_handler(event, context):
        #print(&quot;Received event: &quot; + json.dumps(event, indent=2))
    
        # Get the object from the event and show its content type
        bucket = event[&#39;Records&#39;][0][&#39;s3&#39;][&#39;bucket&#39;][&#39;name&#39;]
        key = urllib.unquote_plus(event[&#39;Records&#39;][0][&#39;s3&#39;][&#39;object&#39;][&#39;key&#39;]).decode(&#39;utf8&#39;)
        try:
            response = s3.get_object(Bucket=bucket, Key=key)
            s3.download_file(bucket,key, &#39;/tmp/data.txt&#39;)
            lines = [line.rstrip(&#39;\n&#39;) for line in open(&#39;/tmp/data.txt&#39;)]
            for line in lines:
                col=line.split(&#39;,&#39;)
                print(col[5],col[6])
            print(&quot;CONTENT TYPE: &quot; + response[&#39;ContentType&#39;])
            return response[&#39;ContentType&#39;]
        except Exception as e:
            print(e)
            print(&#39;Error getting object {} from bucket {}. Make sure they exist and your bucket is in the same region as this function.&#39;.format(key, bucket))
            raise e

Created the Zip the content of the project-dir directory and uploaded to the lambda(Zip the directory content, not the directory). When I am execute the function I am getting the below mentioned error. 

    START RequestId: 9e64e2c7-d0c3-11e5-b34e-75c7fb49d058 Version: $LATEST
    **Unable to import module &#39;lambda_function&#39;: No module named lambda_function**
    
    END RequestId: 9e64e2c7-d0c3-11e5-b34e-75c7fb49d058
    REPORT RequestId: 9e64e2c7-d0c3-11e5-b34e-75c7fb49d058	Duration: 19.63 ms	Billed Duration: 100 ms 	Memory Size: 128 MB	Max Memory Used: 9 MB


Kindly help me to debug the error.
	

Content Type	Original Author	Original Content on Stackoverflow
Question	RckMrkr	View Question on Stackoverflow
Solution 1 - Amazon Web-Services	omuthu	View Answer on Stackoverflow
Solution 2 - Amazon Web-Services	James Flight	View Answer on Stackoverflow

When Lambda is invoked by SNS, will there always be just 1 record?

Amazon Web-Services Problem Overview

Amazon Web-Services Solutions

Solution 1 - Amazon Web-Services

Solution 2 - Amazon Web-Services

Shrink to fit content in flexbox, or flex-basis: content workaround?

Loop through array of values with Arrow Function

Attributions