Python List S3 Buckets

For more information, see Access Control List (ACL) Overview. connection. Amazon S3 ODBC Driver (for CSV Files) Amazon S3 ODBC Driver for CSV files can be used to read delimited files (e. The first time you deploy an AWS CDK app into an environment (account/region), you’ll need to install a “bootstrap stack”. Download/Upload data to S3 bucket via Command line. It's located under Storage. aws s3 mb s3://bucket-name Remove Bucket. Currently, I can only view the storage size of a single S3 bucket with: aws s3 l. We create a connection to the S3 service and assign it to the variable c. please help me, thanks for response. Amazon S3 is a service for storing large amounts of unstructured object data, such as text or binary data. List all buckets. Python S3 Examples ¶ Creating a This gets a list of Buckets that you own. Demonstrates how to retrieve the XML listing of the objects (i. Quick and minimal S3 uploads for Python. Quick and minimal S3 uploads for Python. I have been told that I can do this using a Amazon Linux AMI with python code but I am unsure. In order to empty a bucket it must have items in it. org website. Continuing on with simple examples to help beginners learn the basics of Python and Boto3. Storing a List in S3 Bucket. Response is a dictionary and has a key called ‘Buckets’ that holds a list of dicts with each bucket details. Checks all your buckets for public access. Bucket is what we call a storage container in S3. ZappyShell Command line tools for Amazon S3. By default, Block Public Access settings are set to True on new S3 buckets. 7 series 2019-05-20 Kenneth Loafman. The following code will list all the files in specific dir of the S3 bucket: import boto3 s3 = boto3. It allows to upload, store, and download any type of files up to 5 TB in size. Python Boto Library. What's the easiest way to get a text file that lists all the filenames in the bucket. Events occurring on objects in a bucket can be monitored using bucket event notifications. Get started working with Python, Boto3, and AWS S3. May be used as AWS Lambda function. When an object is uploaded to Source S3 bucket, SNS event notification associated with an S3 bucket will notify the SNS topic in source account. The Cloudflare IAM user needs PutObject permission for the bucket. The first time you deploy an AWS CDK app into an environment (account/region), you’ll need to install a “bootstrap stack”. Click in the Services menu and search for S3. Python and AWS Cookbook Star 0 s3_bucket_du. Ensure serializing the Python object before writing into the S3 bucket. It allows to upload, store, and download any type of files up to 5 TB in size. Lambda paints a future where we can deploy serverless (or near serverless) applications focusing only on writing functions in response to events to build our. Recent in Python. Pip is the recommended method of installing the CLI on Mac and Linux. connect_s3(). this source maybe helps you. For large S3 buckets with data in the multiterabyte range, retrieving the data can take a while - depending on your Internet connection - or the time overhead can be completely prohibitive. So I'll demonstrate how to put and remove items from a bucket. How to check the size of a s3 bucket or size of a file in S3 bucket? The s3cmd tools provide a way to get the total file size of a s3 bucket using "s3cmd du". The process of ingesting shapefiles via S3 buckets is relatively straightforward: simply drop a ZIP archive with all the necessary shapefile files into the S3 bucket. 3 and above except where noted below. This will create a photos bucket which fires the resize function when an object is added or modified inside the bucket. append (obj ['Key']) return keys This is great – if we only have a few objects in our bucket. I am trying to list S3 buckets name using python. Removing Buckets To remove a bucket, use the aws s3 rb command. As shown below, type s3 into the Filter field to narrow down the list of. 4 AWS Python Tutorial- Creating New Buckets in S3 and Uploading Files Python code is used to obtain a list of existing Amazon S3 buckets, create a bucket, and upload a file to a specified. Conclusion. TIBCO Spotfire® can connect to, upload and download data from Amazon Web Services (AWS) S3 stores using the Python Data Function for Spotfire and Amazon's Boto3 Python library. The bucket name you choose must be globally unique, meaning nobody else in the world must have used that bucket name before. AWSBucketDump is an AWS S3 Security Scanning Tool, which allows you to quickly enumerate AWS S3 buckets to look for interesting or confidential files. # S3 iterate over all objects 100 at a time for obj in bucket. You'll learn to configure a workstation with Python and the Boto3 library. This article demonstrates how to create a Python application that uploads files directly to S3 instead of via a web application, utilising S3’s Cross-Origin Resource Sharing (CORS) support. Key class but if you want to subclass that for some reason this allows you to associate your new class with a bucket so that when you call bucket. Some special features: List versions in defined time period, see versioning; Fetch versions specified in CSV file (list-file). While some people use it to store their personal data, there are others that use it to store images and scripts for their websites, and even use it as a CDN. , Client Side Encryption and Server Side Encryption; Access to the buckets can be controlled by using either ACL (Access Control List) or bucket policies. 144s Python(boto3)でS3フォルダ間でコピーする方法 S3フォルダをまとめてコピーするには. But, for the most part you will only need one bucket per website. Can be STANDARD, REDUCED_REDUNDANCY, STANDARD_IA, ONEZONE_IA, INTELLIGENT_TIERING, GLACIER, or DEEP_ARCHIVE. If a folder is present inside the bucket, its throwing an error. Using Python Image. An IAM role is an AWS identity with permission policies that determine what the identity can and cannot do in AWS. This also prints out the bucket name and creation date of each bucket. However, you can enable default encryption on a bucket and any object put in the bucket will be encrypted by default. AWS CDK apps are effectively only a definition of your infrastructure using code. list_object_versions works perfectly, it returns a dictionary with every object's info including ETag. This blog is an introduction to a select list of tools enabling backup of a PostgreSQL cluster to Amazon S3. The first is called Buckets, which are containers of data or files. Unlike S3 the files on an EFS share cannot be versioned though, so to fix this we are going to set up a job in Jenkins which will run at regular intervals to sync the file differences to our S3 versioned bucket. Here are 10 useful s3 commands. By default, Block Public Access settings are set to True on new S3 buckets. RELEASE Spring Boot: 2. What is S3 Browser. buckets = minioClient. How to Copy Files from one s3 bucket to another s3 bucket in another account Submitted by Sarath Pillai on Thu, 04/27/2017 - 11:59 Simple Storage Service(s3) offering from AWS is pretty solid when it comes to file storage and retrieval. Get a list of directories in your S3 bucket. zip file and extracts its content. The article and companion repository consider Python 2. From the list of buckets, choose the bucket with the objects that you want to update. With just one tool to download and configure, you can control multiple AWS services from the command line and automate them through scripts. 简介:用python管理对象存储的bucket,创建bucket、查看bucket,上传文件、删除文件; 地址: 脚本: 接口:Ceph支持亚马逊S3/红帽. Mount S3 on linux Amazon S3 Important considerations when using s3fs, namely related to the inherent limitations of S3: – no file can be over 5GB – you can’t partially update a file so changing a single byte will re-upload the entire file. Amazon S3 hosts trillions of objects and is used for storing a wide range of data, from system backups to digital media. You can vote up the examples you like or vote down the ones you don't like. s3cmd is a command line utility used for creating s3 buckets, uploading, retrieving and managing data to Amazon s3 storage. aws s3 ls List contents inside the bucket. To maintain the appearance of directories, path names are stored as part of the object Key (filename). connect_s3() bucket = conn. In the python program commented above, we used these parameters to build JWT. I have been told that I can do this using a Amazon Linux AMI with python code but I am unsure. After playing around for a bit, she decides that the gim-test bucket no longer fits her pipeline and wants to delete it. After refreshing the bucket policy page, you will see that Amazon S3 converted your policy with CanonicalUser to the arn version automatically. A couple of days ago, I wrote a python script and Bitbucket build pipeline that packaged a set of files from my repository into a zip file and then uploaded the zip file into an AWS S3 bucket. The following script can be called like: python script_name. The bucket name you choose must be globally unique, meaning nobody else in the world must have used that bucket name before. Eventually, you will have a Python code that you can run on EC2 instance and access your data on the cloud while it is stored on the cloud. AWS CLI provides high-level commands on S3 to move objects between two buckets. 1 pring Tool Suite: 3. As we need to move the dump to an S3 bucket, first we need to configure IAM user. Setting / Getting the Access Control List for Buckets and Keys¶ The S3 service provides the ability to control access to buckets and keys within s3 via the Access Control List (ACL) associated with each object in S3. Python and AWS Cookbook Star 0 s3_bucket_du. See also: AWS API Documentation. Bucket names must be unique. delete_file The remote file to delete. At the moment, Boto supports more than fifty Amazon services, running the whole range from compute, database, application, and payments and billing. py: Loading commit data s3_create_bucket. With just one tool to download and configure, you can control multiple AWS services from the command line and automate them through scripts. Boto3 official docs explicitly state how to do this. En este caso vamos a ver cómo podemos Listar contenido de un bucket Amazon S3 con Python. py lists the objects in an Amazon S3 bucket. Lambda Function to copy a file from one s3 bucket to another bucket. I see options to download single file at a time. import boto import boto. aws s3 cp file. In recent months, I've begun moving some of my analytics functions to the cloud. You can connect to an S3 bucket and list all of the files in it via:. Python and AWS Lambda - A match made in heaven Posted on September 19, 2017 September 22, 2017 by Eric D. To list out the objects within a bucket, we can add the following: theobjects = s3client. So the first thing we need is a S3 bucket with versioning enabled. I have an amazon s3 bucket that has tens of thousands of filenames in it. # S3 iterate over all objects 100 at a time for obj in bucket. Amazon S3 (Simple Storage Service) is a scalable, high-speed, low-cost web-based service designed for online backup and archiving of data and application programs. from boto. If this succeeds, I can send a list of folder paths to the python script to get files from various folders under S3 bucket. tl;dr; It's faster to list objects with prefix being the full key path, than to use HEAD to find out of a object is in an S3 bucket. (CkPython) S3 List Objects in Bucket. #! /usr/bin/python # Example code to output account security config __author__ = 'Greg Roth' import boto import urllib import hashlib import argparse parser. The Lambda function below is written in Python. Read CSV from S3 Amazon S3 by pkpp1233 Given a bucket name and path for a CSV file in S3, return a table. Here is the sample code which will do it for you [code]CREATE EXTERNAL TABLE <YOUR DB NAME>. from boto. This operator returns a python list with the name of objects which can be used by xcom in the downstream task. You'll need to write some code (bash, python) on top of it. buckets = minioClient. It shows up in htmlcov/index. new_key() or when you get a listing of keys in the bucket you will get an instances of your key class rather than the default. How to check the size of a s3 bucket or size of a file in S3 bucket? The s3cmd tools provide a way to get the total file size of a s3 bucket using “s3cmd du”. Response is a dictionary and has a key called 'Buckets' that holds a list of dicts with each bucket details. You will learn how to integrate Lambda with many popular AWS services, such as EC2, S3, SQS, DynamoDB, and more. Mount S3 bucket on Linux system using S3FS : s3fs is a file system in User Space (FUSE) based which is used to mount the Amazon s3 buckets. Description. py migrate When we start our project by running the command python manage. Amazon's Simple Storage System (S3) provides a simple, cost-effective way to store static files. The list_s3 tool can be used to create timestamped CSV reports about files stored within S3 buckets of an AWS account. conn = connect_gs(user_id, password). handler events: - s3: photos. A word on encrypted S3 objects/buckets: By default there is no encryption involved when you create or put objects in an S3 bucket. Files for s3-bucket-list, version 1. Quick and minimal S3 uploads for Python. It's located under Storage. Besides the names of the files, the item variable will contain additional information. Create two folders from S3 console called read and write. AWS S3 interview questions: AWS S3 is a cloud-based storage service that is offered by Amazon. It's really easy. At the moment, Boto supports more than fifty Amazon services, running the whole range from compute, database, application, and payments and billing. Description. However, sometimes the S3 bucket can be offline and because of that the file is skipped. (10) Execute the function by pushing file to the source bucket. 144s Python(boto3)でS3フォルダ間でコピーする方法 S3フォルダをまとめてコピーするには. (CkPython) S3 List Objects in Bucket. This article describes how you can upload files to Amazon S3 using Python/Django and how you can download files from S3 to your local machine using Python. Recent in Python. python - 使用Boto3按键列表下载S3对象; 如何使用Boto3创建一个s3存储桶? python - Boto3,s3文件夹没有被删除; 使用boto3清空s3存储桶的最快方法是什么? python - Boto3:仅从S3资源中获取所选对象; python - Boto3 S3,按最后修改排序; python - 'S3'对象没有属性'Bucket'. Continuing on with simple examples to help beginners learn the basics of Python and Boto3. Here is the sample code which will do it for you [code]CREATE EXTERNAL TABLE <YOUR DB NAME>. Python code to copy all objects from one S3 bucket to another new_bucket_name = "targetBucketName" bucket_to_copy = "sourceBucketName" for key in s3. S4 - Command Line Tool to Sync Local Files with Amazon S3 December 6, 2017 Updated December 6, 2017 By Jamie Arthur LINUX HOWTO S4, short for Simple Storage Solution Syncer, is a free and open source tool for synchronizing your files to Amazon S3 service which works from Linux command line. I wish to use AWS lambda python service to parse this json and send the parsed results to an AWS RDS MySQL database. From there, it's time to attach policies which will allow for access to other AWS services like S3 or Redshift. To list out the objects within a bucket, we can add the following: theobjects = s3client. In some cases, you may need to transfer your objects in one of your Amazon S3 buckets to a different AWS account. To use the boto3 library, we should open up your IDE. The article and companion repository consider Python 2. List all buckets. You may want to programmatically empty it. I have over 10 Amazon Ec2 Instances running and I want to automate their backups to a Amazon S3 Bucket. Accessing S3 compatible file store via URL path Learn more about filedatastore, remote, s3. Amazon S3 and Workflows. Response is a dictionary and has a key called ‘Buckets’ that holds a list of dicts with each bucket details. The Cloudflare IAM user needs PutObject permission for the bucket. You'll need to write some code (bash, python) on top of it. The Bucket Policy is much more involved, but provides much more granularity by using a JSON-based access policy language. Background. key) By default, S3 will return 1000 objects at a time, so the above code would let you process the items in smaller batches, which could be beneficial for slow or unreliable internet connections. This course will explore AWS automation using Lambda and Python. Besides the names of the files, the item variable will contain additional information. An S3 bucket that allows full control access to authenticated users will give any AWS account or IAM user the ability to LIST (READ) objects, UPLOAD/DELETE (WRITE) objects, VIEW (READ_ACP) objects permissions and EDIT (WRITE_ACP) permissions for the objects within the bucket. Process Big XML files from S3 bucket. An IAM role is an AWS identity with permission policies that determine what the identity can and cannot do in AWS. 7, but should be mostly also compatible with Python 3. After refreshing the bucket policy page, you will see that Amazon S3 converted your policy with CanonicalUser to the arn version automatically. Boto3 Streamingbody. zip file and extracts its content. Background: We store in access of 80 million files in a single S3 bucket. To make several objects public at once, follow these steps: Open the Amazon S3 console. # S3 iterate over all objects 100 at a time for obj in bucket. Listing Files from in an S3 Bucket. List all file objects stored in S3 buckets attached to an AWS account using AWS API keys. List of commonly used S3 AWS CLI Commands. aws s3 ls List contents inside the bucket. Follow along and learn ways of ensuring the public only access for your S3 Bucket Origin via a valid CloudFront request. Checking if a bucket is public or private is easy. Amazon S3 is a service for storing large amounts of unstructured object data, such as text or binary data. I have a piece of code that opens up a user uploaded. While installing from epel there could be dependency issue for the python. bucket – The S3 bucket where to find the objects. Getting Size and File Count of a 25 Million Object S3 Bucket. Lambda Function to copy a file from one s3 bucket to another bucket. S3cmd is a tool for managing objects in Amazon S3 storage. (CkPython) S3 List Objects in Bucket. list_objects. Parameters. Amazon Web Services offers many different services, which can be managed and implemented using multiple different languages; one such language is Python. This article will help you to how to use install s3cmd on CentOS, RHEL, OpenSUSE, Ubuntu, Debian & LinuxMint systems and manage s3 buckets via command line in easy steps. py lists the objects in an Amazon S3 bucket. More than 3 years have passed since last update. import json: You can import Python modules to use on your function and AWS provides you with a list of available Python libraries already built on Amazon Lambda, like json and many more. Mount S3 bucket on Linux system using S3FS : s3fs is a file system in User Space (FUSE) based which is used to mount the Amazon s3 buckets. This article demonstrates how to create a Python application that uploads files directly to S3 instead of via a web application, utilising S3's Cross-Origin Resource Sharing (CORS) support. In this tutorial, you will learn how to use Amazon S3 service via the Python library Boto3. However, you can enable default encryption on a bucket and any object put in the bucket will be encrypted by default. Prerequisites • Windows, Linux, OS X, or Unix 5 AWS Command Line Interface User Guide Choose an Installation Method. AWS Documentation » Catalog » Code Samples for Python » Python Code Samples for Amazon S3 » s3-python-example-list-buckets. You can connect to an S3 bucket and list all of the files in it via:. Python/S3/Snowflake. when files in your S3 bucket are updated) invoke the Lambda function and run the Python code. A versioning-enabled bucket can have multiple versions of objects in the bucket. (aws s3 mb command to create a new bucket. This is a security tool; it’s meant for pen-testers and security professionals to perform audits of s3 buckets. To list all Buckets users in your console using Python, simply import the boto3 library in Python and then use the ‘list_buckets()’ method of the S3 client, then iterate through all the buckets available to list the property ‘Name’ like in the following image. Python Boto Library. Besides the names of the files, the item variable will contain additional information. #! /usr/bin/python # Example code to output account security config __author__ = 'Greg Roth' import boto import urllib import hashlib import argparse parser. As shown below, type s3 into the Filter field to narrow down the list of. Listing a single large bucket might take hours. $ time aws s3api list-objects-v2 --bucket s3-delete-folder --prefix my_folder/folder_1 --query 'length(Contents)' 2999 real 0m3. import boto3 import ftplib import gzip import io import zipfile def _move_to_s3(fname):. Recent in Python. IAM roles allow you to access your data from Databricks clusters without having to embed your AWS keys in notebooks. Note: The content of an object ( body field) is available only for objects which have a human-readable Content-Type ( text/* and application/json ). In order to empty a bucket it must have items in it. list_objects. As the number of the objects in the bucket can be larger than 1000, which is the limit for a single GET in the GET Bucket (List Objects) v2, I used a paginator to pull the entire list. Amazon's Simple Storage System (S3) provides a simple, cost-effective way to store static files. This assumes you want to delete the test "folder" and all of its objects Here is one way:. This request returns a maximum of 1000 uploaded parts. If the AWS user currently in use (programmatic or console) doesn't have the S3 Full access policy enabled but rather only the Policy created previously (sap-hxe-eml-policy), you will only be able to create S3 buckets with names starting with sagemaker (in lower case). A bucket is defined by the radius of the bottom disc r, the radius of the top opening R, and the height h. py migrate When we start our project by running the command python manage. conn = connect_gs(user_id, password). The problem starts when you need libraries that are not available (we will solve this problem later using Lambda Layers). Removing Buckets To remove a bucket, use the aws s3 rb command. 12 10:00 이 페이지는 S3 버킷을 지정하고 그 안의 객체를 가져오는 내용을 설명하고 있다. jpg’, Body=data) AWS Services supported by Boto. This operator returns a python list with the name of objects which can be used by xcom in the downstream task. You can use a for loop to loop around the buckets in your S3. Demonstrates how to retrieve the XML listing of the objects (i. 2019-08-01 Kenneth Loafman * Some changes to provide Python test coverage: - Coverage runs with every test cycle - Does not cover functional tests that spawn duplicity itself. Version information is hidden, so these objects. Logs are written into that bucket as gzipped objects using the S3 Access Control List (ACL) Bucket-owner-full-control permission. aws s3 ls s3://bucket-name List Bucket with a path. Request Syntax. From there, it's time to attach policies which will allow for access to other AWS services like S3 or Redshift. IAM roles allow you to access your data from Databricks clusters without having to embed your AWS keys in notebooks. For more information, see Access Control List (ACL) Overview. Smore on GitHub. If you are modifying an existing bucket, please be sure to remove permissions on object access control lists (ACLs). Using Python Image. bucket (AWS bucket): A bucket is a logical unit of storage in Amazon Web Services ( AWS ) object storage service, Simple Storage Solution S3. Amazon Web Services offers many different services, which can be managed and implemented using multiple different languages; one such language is Python. name) Hope this helps. In boto3 there is a fucntion that helps this task go easier. aws s3 mb s3://bucket-name Remove Bucket. I am able to connect to the Amazon s3 bucket, and also to save files, but how can I delete a file?. As shown below, type s3 into the Filter field to narrow down the list of. bucket – The S3 bucket where to find the objects. Clone via HTTPS Clone with Git or checkout with SVN using the repository’s web address. In a subsequent list request using the pageToken, items that come after the token are shown (up to maxResults). So I'll demonstrate how to put and remove items from a bucket. By default, this would be the boto. This operation lists the parts that have been uploaded for a specific multipart upload. , Client Side Encryption and Server Side Encryption; Access to the buckets can be controlled by using either ACL (Access Control List) or bucket policies. See also: AWS API Documentation. For this I used the AWS SDK for Python, Boto3. how to convert date field into UTC format (2019-10-29T19:20:30. Download/Upload data to S3 bucket via Command line. The AWS Command Line Interface (CLI) is a unified tool to manage your AWS services. json data file. Amazon's Simple Storage System (S3) provides a simple, cost-effective way to store static files. If you use AWS S3, then this can be handy tool for you. Buckets are used to store objects, which consist of data and metadata that describes the data. The MinIO Python Client SDK provides simple APIs to access any Amazon S3 compatible object storage server. Using Minios Python SDK to Interact With a Minio S3 Bucket Sep 8 th , 2017 10:15 pm In our previous post, we have Setup Minio Server which is a self-hosted alternative to Amazon’s S3 Service. The following demo code will guide you through the operations in S3, like uploading files, fetching files, setting file ACLs/permissions, etc. Storing a List in S3 Bucket. This article demonstrates how to create a Python application that uploads files directly to S3 instead of via a web application, utilising S3's Cross-Origin Resource Sharing (CORS) support. Here we create the s3 client object and call 'list_buckets()'. This tutorial shows how to configure Django to load and serve up static and media files, public and private, via an Amazon S3 bucket. She has already created the boto3 client for S3, and assigned it to the s3 variable. When an object is uploaded to Source S3 bucket, SNS event notification associated with an S3 bucket will notify the SNS topic in source account. page_size (100): print (obj. Smore on GitHub. 144s Python(boto3)でS3フォルダ間でコピーする方法 S3フォルダをまとめてコピーするには. So the first thing we need is a S3 bucket with versioning enabled. The default number of parts returned is 1000 parts. this little snippet is a little compact, I hope I didn't miss any important detail. AWS S3 PutObject - In this tutorial, we will learn about how to upload an object to Amazon S3 bucket using java language. endpoint logger to parse the unique (rather than total) "resource:action" API calls made during a task, outputing the set to the resource_actions key in the task results. 3 and above except where noted below. We already setup Jenkins, setup Android SDK, Gradle home, and a Test Jenkins build to archive the artifacts so far. AWS Documentation » Catalog » Code Samples for Python » Python Code Samples for Amazon S3 » s3-python-example-list-buckets. 최근 글 [Zabbix] redis 모티터링 방법 [Zabbix] 디스크 모니터링 하는 방법 [MySQL] bin-log 줄이기 방법 ; 실행되고 있는 pod 를 node 기준으로 so. This command will give you a list of ALL objects inside an AWS S3 bucket: aws s3 ls bucket-name --recursive. We create a connection to the S3 service and assign it to the variable c. This wiki article will provide and explain two code examples: Listing items in a S3 bucket; Downloading items in a S3 bucket. 3 and above except where noted below. Python and AWS Lambda – A match made in heaven Posted on September 19, 2017 September 22, 2017 by Eric D. However, you can enable default encryption on a bucket and any object put in the bucket will be encrypted by default. Create a IAM role with. list_buckets() for bucket in buckets. Now let's move forward and add S3 trigger in Lambda function. S3 is one of the older service provided by Amazon, before the days of revolutionary Lambda functions and game changing Alexa Skills. The Lambda function will be triggered each time AWS changes EC2 prices (AWS publishes price change. The surface of material used to build this bucket is the bottom disc and the sides: S = π*r² + π(R+r)sqrt((R-r)²+h²). Parameters. zip file, pushes the file contents as. This also prints out the bucket name and creation date of each bucket. in my main script I have printed every single value and they all seem fine, I always get valid ETag's and the bucket/key names are 100% valid. Events you define in Lambda (e. 12 10:00 이 페이지는 S3 버킷을 지정하고 그 안의 객체를 가져오는 내용을 설명하고 있다. py lists the objects in an Amazon S3 bucket. Hi, Since we can mention only one prefix in ListS3 processor I am trying to access AWS S3 using Python boto3 in NiFi ExecuteScript processor. Amazon S3 (Simple Storage Service) is a scalable, high-speed, low-cost web-based service designed for online backup and archiving of data and application programs.