Aws Lambda Create Csv File

Upload the ZIP file to S3 (or directly to AWS Lambda) and clean up: In your Lambda function, you can invoke aws-cli commands. For simplicity, I’m adding the user to the group of admins. It provides an easy to use, object-oriented API, as well as low-level access to AWS services. You can also stream the file contents into S3 using boto3, if preferred. If you have never worked with AWS Lambda, Amazon API Gateway, and S3 before, you might want to complete this tutorial first, where we focus more on the basics of creating an AWS Lambda function and how to setup an API Gateway. xml with the 'aws-lambda-java-core' dependency and use the Maven Shade Plugin to build a standalone. Creating an AWS Lambda package ^ I've explained a few of the basics of using PowerShell AWS Lambda. Create a Lambda Function. AWS Lambda efficiently executes the go binary Recently have quite using the Lambda and the API Gateway, this is called Do not, and wondering where was, AWS LambdaでJavaとNode. This results on a much cleaner architecture, where less resources and money are spent. 2 (153 ratings) Course Ratings are calculated from individual students' ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately. js API and bring it to AWS Lambda and AWS API Gateway using the Serverless Framework. This is the second post detailing an investigation into cold-start in AWS Lambda. Whenever a user uploads a CSV file, it triggers an S3 event. Lambda is AWS's event-driven compute service. These don’t need to be in Python. I renamed. S3 can send events when a variety of things occur. AWS CloudFormation supports most of the AWS resource creation. Yet many organizations choose to use both platforms together for greater choice and flexibility, as well as to spread their risk and dependencies with a multicloud approach. csv which is a simple data file which contains the name of AWS certification exams. csv) to the S3 bucket and it will trigger the Lambda function. OVERVIEW DISCUSSIONS. Think of it as “serverless” web hosting for your Python apps. Welcome to the AWS Lambda tutorial with Python P6. Get the CSV file into S3 -> Define the Target Table -> Import the file. The AWS Toolkit for Visual Studio will create the cloud components for you. csv; context. AWS’ Simple Storage System (S3) is a completely free cloud storage service that integrates easily with other AWS services and thus is a great substitute for a local file system. Select Create user: A new screen will show you the user’s generated credentials. This is simply creating a bucket. In addition, one lambda can be triggered by multiple different events. Following are the steps to write a sample Lambda function in Java to work with the files that are placed on Amazon S3 bucket. Since it was my first time using AWS with this account, I had to set up a Profile Name, Access Key ID and Secret Access Key - which I could import from a CSV file. Real-World Predictive Applications with Amazon Machine Learning Create Lambda function. We’re going to make a CRON job that will scrape the ScrapingBee (my company website) pricing table and checks whether the prices changed. template file found inside the Widgets. This code reads the UV sensor data stored in CSV file and creates a time series that is displayed online. Integrating Splunk And AWS Lambda Big Results @ Fast-Food Prices •Lookup LambdaPricing. Suppose you want to create a thumbnail for each image file that is uploaded to a bucket. Here is an example screenshot with a few different vulnerable users found in my test environment and the output file opened in Microsoft Excel (it outputs. This article will show you how to setup a deploy script, so that you can manage your code and modules locally, and be able to easily publish changes into AWS Lambda via the command line interface (CLI). AWS Lambda provides serverless compute - or really what is server on demand compute. You therefore will not be able to serve your static assets directly from the Lambda function itself. Whatever lambda stores there, it stays there if container is reused. Copy in your AWS Lambda function, other packages, configuration, and other files needed by the function code. 27 Lessons over 1. csv which is a simple data file which contains the name of AWS certification exams. Click on layers and then on ‘Add a layer’ button. share | improve this question. AWS Lambda allows you to upload code that will be run on an on-demand container managed by Amazon. Without Layers, dependencies need to be bundled together with the function code, inside the. S3 can be used as the content repository for objects and it maybe needed to process the files and also read and write files to a bucket. Bucket names need to be unique across all the buckets of the world in AWS S3, so you will need to be creative when naming your bucket. For logging debug data you can just use console. 6 code which uses environment variables as input. • Store the packaged model file and the Lambda function code Kinesis streams, DynamoDB and S3 buckets can be the source of inputs. S3 can be used as the content repository for objects and it maybe needed to process the files and also read and write files to a bucket. Select source type as aws:cloudwatchlogs:vpcflow and index as main. Click Create user and ensure to download the CSV. Make sure your index. Your Lambda function will use the AWS Price List API to get the latest EC2 price information, filter it, and then upload the results to your S3 bucket, replacing the existing prices. js, Python, and Java and Go with more planned in the future. Lambda will then store your code package in an S3 bucket managed by the service. This post details the case on more detail. Architecture The architecture would look something like below: The services and technologies we will be using to build this application are: AWS Lambda AWS Lambda is a compute service that lets you run code without provisioning or managing servers. API evangelist Kirsten Hunter covers creating a Lambda function in the AWS console for Amazone S3 and basic file handling, explores the Lambda console, and explains how to deploy and invoke a function from the command line. At this point, you should have been able to grab the AWS friendly version of Pandas which is ready to be included in the final source code which will become your Lambda Function. Create a new Lambda function and select the hello-world template. If you have never worked with AWS Lambda, Amazon API Gateway, and S3 before, you might want to complete this tutorial first, where we focus more on the basics of creating an AWS Lambda function and how to setup an API Gateway. For any object uploaded to a bucket, S3 will invoke our Lambda function by passing event information in the form of function parameters. It is a versatile service that enables users to build a variety of real-time serverless data processing systems quickly and easily. Introduction. Now any command you type in aws command line will show up in fiddler. AWS Lambda is a service offered by the Amazon Web Services platform. Here is the sample code which will do it for you [code]CREATE EXTERNAL TABLE <YOUR DB NAME>. Hello there, I need to put file to s3, I want to process it with Lambda and convert it to. Actually I was facing problem in java then I thought I should write a blog. An example: we have a CSV file with names of persons, their IQ and their current activity. Have a DynamoDB table with at least the same hash key than in csv files. Developers can simply create Lambda functions, configure an API Gateway, and start responding to RESTful endpoint calls. Environment Variables: If your function depends on environment variables (the example code I provided above requires a few), set them below in the environment_variables dict. async/await on AWS Lambda. Creating Lambda Function. Make sure your index. In Talend studio, set the Job context parameters: context. After you configure Amazon SES Notifications Through Amazon SNS, you can use an AWS Lambda function to write these notifications to a DynamoDB database. Import CSV or JSON file into DynamoDB. CSV and save it to DynamoDb. Next step is to create AWS Serverless application, for this, you can get the readymade templated under Create New Project -> Visual C# -> AWS Lambda -> AWS Serverless application(. Questions: I have created a very basic simple function on AWS Lambda which will be used to accept form submissions. In the previous post, we discussed how to move data from the source S3 bucket to the target whenever a new file is created in the source bucket by using AWS Lambda function. To deploy your microservice, in the Solution Explorer, right click on your web service project, and select Publish to AWS Lambda. The Problem. csv which is a simple data file which contains the name of AWS certification exams. As the function executes, it reads the S3 event. Step-2 We have to write a lambda function which will be responsible to read data from csv file and insert those data into dynamodb. Merging PDFs is another challenge - and one that most of the PDF generation API services do not provide solutions for. Recently, I had to parse a large CSV file that had been uploaded to S3. ・AWS Lambdaをpython-lambda-localとlambda-uploaderを使ってローカル開発してみる AWS Lambda で実行する環境について 今回はS3の特定バケットのフォルダ上にinputファイルが置かれた時に、そのS3イベントを検知してCSVファイルをJSONに加工して別フォルダに置くという動作. Click on layers and then on ‘Add a layer’ button. zip and add any handwritten python code to the zip file for deployment to AWS. Announced during re:Invent 2016, AWS Step Functions is a service for creating state machines. Chalice makes deploying your serverless app completely effortless. To start with, first, we need to have an AWS account. But still, there was a concept of virtual. Authorization can be done by supplying a login (=Storage account name) and password (=Storage account key), or login and SAS token in the extra field (see connection wasb_default for an example). Please refer the below video for reference. The core file in a Serverless Framework project is the serverless. We need several of the services created in the other tutorial here too and will refer to it at the specific steps. Select everything except the. bin folder and archive it into a zip file. js, and Jimp. Have you thought of trying out AWS Athena to query your CSV files in S3? This post outlines some steps you would need to do to get Athena parsing your files correctly. Source code. To access. More info about container reuse on the AWS blog. jar using the Maven Shade Plugin. This is the bucket where our whole app details (code) will be zipped and stored. The AWS Lambda Node allows a workflow to run an AWS Lambda function and optionally store the returned value from the function in the payload. In some cases when a new service is introduced or when we have some custom CloudFormation might not have the support for it. Next, I published the function by right-clicking on the project and selecting Publish to AWS Lambda. The Lambda component supports create, get, list, delete and invoke AWS Lambda functions. Last October, I heard this crazy idea from a guy at a startup event. You just saw how to take a powerful and potentially resource hungry Node. Hi Im trying to trigger lambda from API Gateway and then export a table with custom fields in Dynamo db to csv , prefix the file with current time stamp and save it to S3 finally send the link of the file. Introduction. Next, I published the function by right-clicking on the project and selecting Publish to AWS Lambda. AWS Lambda is a service introduced in 2014 by Amazon,. Provides a Lambda Function resource. The best approach for this near real-time ingestion is to use AWS lambda function. This tutorial was an extension to a previous tutorial titled, Create an Android Launcher Icon Generator RESTful API with Node. That means infinite scaling, zero downtime, zero maintenance — and at a fraction of the cost of your current deployments!. AWS Lambda RDS Database Loader. This is an example of how to make an AWS Lambda Snowflake database data loader. Create two s3 buckets as in the above image. We are using AWS Data Migration Service (DMS) to near real time replicate (ongoing incremental replication) data from Oracle DB to AWS S3. RDDs are the core data structures of Spark. Click on the little person icon next to Account Profile to Use. An overview of the manual process of creating, updating and managing a Lambda will be given to highlight the need for better orchestration tools, such as the Serverless Framework, to be used throughout the rest of the course. Serverless is a framework that automates for us some tasks that are a little boring to do if developing with AWS Lambda by hand, such as creating a zip file with all our sources to be uploaded to S3 and creating/configuring all AWS resources. But once you have written a Lambda function, how do you update it?. AWS, as in Amazon Web Services, Lambda is a thing in AWS where you can upload a bundle of code and they will run it for you. csv button to make a copy of the credentials. But there are times when I need to run the lambda function directly. At the heart of the JAMstack are static site. Using Lambda Function with Amazon S3 - Amazon S3 service is used for file storage, where you can upload or remove files. Accessing local files in AWS Lambda I'm new to Lambdas but have been able to create basic ones with Nodejs. ConcurrentExecutions (integer) --The maximum number of simultaneous function executions. could create a Lambda function on AWS: a CSV file containing your. You may use the bare ARN if the role belongs to the same AWS account. If you've had some AWS exposure before, have your own AWS account, and want to take your skills to the next level by starting to use AWS services from within your Python code, then keep reading. It enables users to to run code without any needing a server from the user side. Goto AWS Lambda and create a new lambda function from scratch as below On the next screen, before writing the code in the editor, scroll down and make sure that lambda has role that can access s3 bucket and also set the timeout to sufficiently large value so that file can be loaded into dynamodb. jar using the Maven Shade Plugin. The Lambda function will download the original image from S3 to create new resized images. S3 can be used as the content repository for objects and it maybe needed to process the files and also read and write files to a bucket. Lambda | Create a Lambda function with a trigger which gets invokes as a file is uplaoded to S3. These are the classic events. The events and resources required are written in one place and. This seemed like a great opportunity to get my hands dirty by creating a Go serverless application — and deploying it to Lambda. AWS Lambda plus Layers is one of the best solutions for managing a data pipeline and for implementing a serverless architecture. A custom Cloudformation can be created using AWS Lambda. Create the follwing Lambda Functions –. As the function executes, it reads the S3 event. Welcome to the AWS Lambda tutorial with Python P6. Serverless Computing. I'm new to this lambda function. AWS Lambda can be created and deployed using serverless framework. AWS-Lambda-Android Installing Turi Create on Python 3. Creating an AWS Lambda Function for Image Processing. Here is an example screenshot with a few different vulnerable users found in my test environment and the output file opened in Microsoft Excel (it outputs. The key point is that I only want to use serverless services, and AWS Lambda 5 minutes timeout may be an issue if your CSV file has millions of rows. DynamoDB is used to store the data. Lambda function to write file processing status to CSV file and drop the file in S3. The following is used to create a new, empty CSV file: csv_label = filename. Open the AWS Management Console, press Lambda, then Create Function. Let’s create a copy of this code to another file. CloudWatch) invocation if an exception has been thrown. example — Inserting data items into a dynamodb table from a csv file. This is the bucket where our whole app details (code) will be zipped and stored. You can automatically split large files by row count or size at runtime. Along with S3 (where your mailing list will be stored) you can quickly send HTML or text-based emails to a large number of recipients. If you are using the AWS Systems Manager Parameter Store, you need to make sure the RSA keys are added to the Parameter Store using the AWS CLI. I have been researching different ways that we can get data into AWS Redshift and found importing a CSV data into Redshift from AWS S3 is a very simple process. js API and bring it to AWS Lambda and AWS API Gateway using the Serverless Framework. The custom lambda_function is in Appendix 2 below. This creates a new serverless project using the built-in Node. nodejsera, node. Do this to the end of the file. Create a New CSV File. With AWS we can create any application where user can operate it globally by using any device. Deploy 64-bit Amazon Linux EC2 instance 5. zip should be ready to upload to AWS Lamdba. Lambda is AWS's event-driven compute service. This is simply creating a bucket. xml with the 'aws-lambda-java-core' dependency and use the Maven Shade Plugin to build a standalone. json format of. 2 (153 ratings) Course Ratings are calculated from individual students' ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately. I am noticing that AWS CloudFormation has difficulties deleting my particular Lambda function. Creating downloadable CSV files in PHP | KnackForge, Your Technology Partners Skip to main content. Create an Amazon Web Services (AWS) account. Open the AWS Management Console, press Lambda, then Create Function. AWS Lambda is a serverless computing platform implemented on top of Amazon Web Services platforms like EC2 and S3. However, due to the way these files are being created in S3, the order of the headers could change at any time (for example, if a new column is added). Uploading CSV data to Einstein Analytics with AWS Lambda (Python) Posted by Johan on Friday, October 6, 2017 I have been playing around with Einstein Analytics (the thing they used to call Wave) and I wanted to automate the upload of data since there's no reason on having dashboards and lenses if the data is stale. Lambda using Nuget Pacakage Manager or By editing Project. In integration with AWS API Gateway it is possible to create an API without hosting it on a physical servers such as IIS or Apache. It provides an easy to use, object-oriented API, as well as low-level access to AWS services. If you look at the above screenshot I've created s3 event by calling lambda and filtering the s3 bucket data with *. Go to your github profile settings page and generate a user token by which the bot will act on your behalf. If I run the following command, which sets the max file size of the output file big enough to include all the parts, it doesn't do anything. With AWS Lambda and Simple Email Service SES, you can build a cost-effective and in-house serverless email platform. AWS: Import CSV Data from S3 to DynamoDB. In this video, we will go over a variety of essential Lambda concepts as well as learn how to create our own Lambda functions in the AWS Management Console. The core file in a Serverless Framework project is the serverless. This creates a new serverless project using the built-in Node. Create a user with API access. If all files in the S3 folder will not have the same recognizable pattern, AWS Glue will create a separate table for each file. Boto3 calls in the Lambda functions are used to put and get the S3 object tags. This is because we’re using lambda-local to test our lambda function locally, which conveniently lets us write our code exactly the way AWS Lambda expects it. The user or another system uploads a CSV file with data into a dedicated S3 bucket. AWS Lambda efficiently executes the go binary Recently have quite using the Lambda and the API Gateway, this is called Do not, and wondering where was, AWS LambdaでJavaとNode. There are two approaches we can take for this. The goal of this tutorial is to get you familiar with setting up an AWS Lambda function that you can POST data to and return a response. This is an example of how to make an AWS Lambda Snowflake database data loader. AWS Lambda executes the function. By now lambda. [Serverless] From AWS Lambda to AWS Athena. It has a command line interface and is designed to analyse images in bulk while providing reporting capabilities and customization which is comprehensible for non forensic experts. If you are having this problem the trick is to use the CLI to first forcibly detach the ENI, then delete it. The Problem. mkdir step-functions-demo cd step-functions-demo serverless create -t aws-nodejs npm init -y npm install async aws-sdk --save The serverless framework simplifies our lives and allows to quickly create Lambda-backed applications without a need of writing long CloudFormation scripts and deploying functions manually. Now I need to to combine them back into 1 single file. 2 Select the Use Lambda Proxy integration option 3. Download lambda_function. This post walks you through all the steps required to build a data engineering pipeline for batch data using AWS Step Functions. Lambda enables us to run code without having to run and maintain a server. One of the entities responsible for taking care of these servers is Amazon Web Services. xml with the 'aws-lambda-java-core' dependency and use the Maven Shade Plugin to build a standalone. zip file containing all its content In the AWS Lambda function screen, go to the Function code section. Can any one please help me with it. Terraform is an infrastructure-as-code tool written in go for building, changing, and versioning infrastructure safely and efficiently. js file we have a single function. js API and bring it to AWS Lambda and AWS API Gateway using the Serverless Framework. Without that, save to s3 and download from s3 is reasonable. But once you have written a Lambda function, how do you update it?. Another way of running code in AWS Lambda to use the inline editor called the AWS Lambda Console. Create service role for Lambda. This post follows on from part 1. In my case I had the name of the module matching the name of the file and the exported handler, the real problem was macOS and the zip program which basically creates a folder inside the zip file so when uncompressed in AWS Lambda engine the index. This is the bucket where our whole app details (code) will be zipped and stored. You can find out more about AWS Lambda here. How to set up and configure an AWS Lambda Function 24 Jun 2016 Steven Duff Amazon Web Services , AWS Lambda AWS Lambda is an event-driven computing service that allows the user to create applications and then run the code for those applications on the AWS infrastructure by creating what is called a lambda function. AWS Lambda コンソールにて確認. zip file which stores the lambda function. Net Core application and then click on Finish:. Save the function and upload the csv file into the. After you install the AWS CLI, you need to configure it so you can use it. Creating an API from HTML: Scraping Amazon Reviews into Google Sheets When there’s no API and text is all we have, never fear! Apify can turn any site into an API and Transposit lets you plug it into the other systems you care about. Get a personalized view of AWS service health Open the Personal Health Dashboard Current Status - Oct 30, 2019 PDT. js on Lambda can be found here. This utility internally used Oracle logminer to obtain change data. Include this file into the lambda_function. This article teaches you how to create a serverless RESTful API on AWS. NET Core, it's a breeze to create dedicated cloud micro-services. OK, that works fine. In our data-pipeline project I found that working with AWS Lambda functions at scale, meaning thousands of concurrent operations a second, and especially running them inside a VPC (more on the reasons in a second) will often bring up lots of unexpected problems, not advertised in advance. user" file file of MovieLens 100K Dataset. Step 1) So first, we have an S3 bucket defined as shown below. Serverless AWS Lambda – Part 1: A Quickstart for Beginners This article covers steps for creating your first AWS Lambda service & functions through using Serveless framework. CloudWatch) invocation if an exception has been thrown. Snowflake database is a cloud platform suited to working with large amounts of data for data warehousing and analysis. AWS Lambda Project not creating project file. Creating a Thumbnail using AWS Lambda (Serverless Architecture) Introduction to AWS Lambda In one of the earlier blog here , we discussed about AWS Lambda which is a FAAS (Function As A Service) with a simple example. It enables users to to run code without any needing a server from the user side. Then I’m downloading the tokens for later use with the serverless framework. Create a virtualenv with all your python dependecies. In our example, we will be creating a standalone. The Widgets. AWS Lambda コンソールにて確認. Option 2: Automating Snowpipe with AWS Lambda¶ AWS Lambda is a compute service that runs when triggered by an event and executes code that has been loaded into the system. Writing and monitoring Spark jobs is hard. py – This lambda function will have a trigger associated on bucket nm-payment-balance; Once the file ‘paymentbalance. For logging debug data you can just use console. Creating an Identity and Access \(IAM\) user in the AWS Management Console when using Amazon Web Services. Depending on the space available on the AWS Lambda instance and the number of files you want to zip you may got a lack of space on your disk space /tmp directory, and your zip lambda will fail Moreover I notice something very bad about AWS Lambda system architecture it seems that sometimes the same machine could be used from different invocations. In this article, we’ll use theamazonlinux image to script the creation of Lambda deployment packages. Create the follwing Lambda Functions –. Now that you have your new user, create a new file, ~/. Amazon Web Services Security Overview of AWS Lambda Page 4 The Shared Responsibility Model Security and Compliance is a shared responsibility between AWS and the customer. Create Generic FileTransfer Status Check Lambda Function. The programming model for the lambdas consists of Handler,. We need several of the services created in the other tutorial here too and will refer to it at the specific steps. Now that we've done some basic set up, let's deploy our Lambda function. AWS Lambda is a new, serverless way to build systems in the cloud. Create a file read-stream. AWS Lambda plus Layers is one of the best solutions for managing a data pipeline and for implementing a serverless architecture. Home » Resources » Insights » Three Options (and Tips) for Creating a Python AWS Lambda Function. Amazon Web Services – Serverless Architectures with AWS Lambda. TL;DR, (1) can be solved by spawning a new EC2 instance with the correct AMI image to create an Lambda competible Python virtual environment. Create a Role and allow Lambda execution and permissions for S3 operations 3. Have you thought of trying out AWS Athena to query your CSV files in S3? This post outlines some steps you would need to do to get Athena parsing your files correctly. To authorize access to aws, export the AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY in ~/. (zip_file_name) as zip_blob: aws_lambda. Creating the Lambda. js file clean. Can any one please help me with it. Using similar steps, create a new blank Lambda function named 'twilioWeatherStation' with no trigger. Note: this article uses the old project. This seemed like a great opportunity to get my hands dirty by creating a Go serverless application — and deploying it to Lambda. You can have thousands of lambdas running in parallel this way. zip contains a handler and dependencies, and your AWS account has an IAM role with lambda privileges (see previous section). Amazon Web Services publishes our most up-to-the-minute information on service availability in the table below. The steps needed in Lambda are: Create a new Lambda function (Blank function) Configure Lambda: Runtime: Node. csv files): On the left in the terminal, we can see aws_escalate. • Store the packaged model file and the Lambda function code Kinesis streams, DynamoDB and S3 buckets can be the source of inputs. Set your Lambda root Handler to the go binary filename (go-pdf-lambda in our example) Add an S3 trigger on all create events. The bucket is the name. Creating an AWS Lambda package ^ I've explained a few of the basics of using PowerShell AWS Lambda. Real-World Predictive Applications with Amazon Machine Learning Create Lambda function. Building AWS Lambda with Python, S3 and serverless July 24, 2017 Cloud-native revolution pointed out the fact that the microservice is the new building block and your best friends now are Containers, AWS, GCE, Openshift, Kubernetes, you-name-it. xml with the 'aws-lambda-java-core' dependency and use the Maven Shade Plugin to build a standalone. In this post, I will show you how to use Lambda to execute data ingestion from S3 to RDS whenever a new file is created in the source bucket. For this sample code, I use the "u. jsとGoの簡易ベンチマークをしてみた 1451665326> ` _ that because I saw the article, try to write a related article. I'm in the process of writing a python script for automating a data ingestion pipeline using Amazon Web Service's Kinesis stream, Firehose and lambda. Name the function lambda-html. A more elegant solution is to use AWS Lambda to run the two as a set of functions. The message content contains the name of the file and the size, converted to megabytes. Is there a way to do this in AWS with any of the available services without spinning up any boxes?. Along with S3 (where your mailing list will be stored) you can quickly send HTML or text-based emails to a large number of recipients. Here, the bucket emits an event when files ending. I nvoke your code using API calls made using AWS SDKs; Your code will be available in Lambda Functions; You can use the AWS Lambda console, AWS CLI, and AWS SDKs to create a Lambda function. I am in the process of writing a service to load data from CSV files in an S3 stage into Snowflake. Need a primer in AWS Lambda? Cloud Academy offers a suite of Lambda resources to get you started: Let’s get going! I have a Windows laptop with STS-3. To deploy your microservice, in the Solution Explorer, right click on your web service project, and select Publish to AWS Lambda. Finally, she shows how to create a Lambda API and test it with HTTPie or cURL. If you're wanting to store data permanently look at using DynamoDB or S3. We have created an example Lambda module that should provide the above for you, all you need to do is setup a Lambda function in AWS. You may use the bare ARN if the role belongs to the same AWS account. Depending on the space available on the AWS Lambda instance and the number of files you want to zip you may got a lack of space on your disk space /tmp directory, and your zip lambda will fail Moreover I notice something very bad about AWS Lambda system architecture it seems that sometimes the same machine could be used from different invocations. With AWS we can create any application where user can operate it globally by using any device. When Lambda Functions go above this file size, it's best to upload our final package (with source and dependencies) as a zip file to S3, and link it to Lambda that way. However, Lambda is also one of the many services you can use in AWS.