Integrate Amazon S3 with Chatter

Appy Pie Connect allows you to automate multiple workflows between Amazon S3 and Chatter

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About Amazon S3

Amazon Simple Storage Service is simple web services interface that you can use to store and retrieve any amount of data, at any time, from anywhere on the web.

About Chatter

Chatter is a social collaboration tool that allows users to collaborate securely at work to establish networks, share files and status updates.

Chatter Integrations

Best Amazon S3 and Chatter Integrations

  • Amazon S3 Integration Chatter Integration

    Amazon S3 + Chatter

    New Post in Feed Action in Chatter when New or Updated File is created in Amazon S3 Read More...
    Close
    When this happens...
    Amazon S3 Integration New or Updated File
     
    Then do this...
    Chatter Integration New Post in Feed Action
  • Amazon S3 Integration Amazon S3 Integration

    Chatter + Amazon S3

    Create Text Object to Amazon S3 from New Topic in Chatter Read More...
    Close
    When this happens...
    Amazon S3 Integration New Topic
     
    Then do this...
    Amazon S3 Integration Create Text Object
  • Amazon S3 Integration Amazon S3 Integration

    Chatter + Amazon S3

    Create Bucket to Amazon S3 from New Topic in Chatter Read More...
    Close
    When this happens...
    Amazon S3 Integration New Topic
     
    Then do this...
    Amazon S3 Integration Create Bucket
  • Amazon S3 Integration Amazon S3 Integration

    Chatter + Amazon S3

    Upload File in Amazon S3 when New Topic is created in Chatter Read More...
    Close
    When this happens...
    Amazon S3 Integration New Topic
     
    Then do this...
    Amazon S3 Integration Upload File
  • Amazon S3 Integration Amazon S3 Integration

    Chatter + Amazon S3

    Create Text Object to Amazon S3 from New Group in Chatter Read More...
    Close
    When this happens...
    Amazon S3 Integration New Group
     
    Then do this...
    Amazon S3 Integration Create Text Object
  • Amazon S3 Integration {{item.actionAppName}} Integration

    Amazon S3 + {{item.actionAppName}}

    {{item.message}} Read More...
    Close
    When this happens...
    {{item.triggerAppName}} Integration {{item.triggerTitle}}
     
    Then do this...
    {{item.actionAppName}} Integration {{item.actionTitle}}
Connect Amazon S3 + Chatter in easier way

It's easy to connect Amazon S3 + Chatter without coding knowledge. Start creating your own business flow.

    Triggers
  • New or Updated File

    Triggers when you add or update a file in a specific bucket. (The bucket must contain less than 10,000 total files.)

  • New Group

    Triggers when a new group is created.

  • New Post about Topic

    Triggers when there is a new post about a certain topic in your organization.

  • New Post in Feed Trigger

    Triggers when any new post occurs in your Chatter Feed.

  • New Topic

    Triggers when a new topic is created.

    Actions
  • Create Bucket

    Create a new Bucket

  • Create Text Object

    Creates a brand new text file from plain text content you specify.

  • Upload File

    Copy an already-existing file or attachment from the trigger service.

  • New Post in Feed Action

    Create a new post in your Chatter feed.

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Page reviewed by: Abhinav Girdhar  | Last Updated on July 01, 2022 5:55 am

How Amazon S3 & Chatter Integrations Work

  1. Step 1: Choose Amazon S3 as a trigger app and authenticate it on Appy Pie Connect.

    (30 seconds)

  2. Step 2: Select "Trigger" from the Triggers List.

    (10 seconds)

  3. Step 3: Pick Chatter as an action app and authenticate.

    (30 seconds)

  4. Step 4: Select a resulting action from the Action List.

    (10 seconds)

  5. Step 5: Select the data you want to send from Amazon S3 to Chatter.

    (2 minutes)

  6. Your Connect is ready! It's time to start enjoying the benefits of workflow automation.

Integration of Amazon S3 and Chatter

Amazon S3 is a cloud-based storage service that offers developers and IT teams an online storage platform for any type of data. Amazon S3 provides highly durable, scalable, and low-latency storage that works seamlessly with Amazon EC2 to enable developers to create virtually limitless applications in the cloud or build simple websites.One of the main features of Amazon S3 is that it is highly available and durable, storing data for millions of customers from around the world and serving billions of requests every day. The service is designed to be highly reliable, with multiple copies of customer data stored in different facilities. Amazon S3 can then detect if a fault occurs and automatically recover data without losing any information. When writing data, the service will also typically distribute it across multiple servers so that it can’t be lost due to the failure of a single hard drive. Amazon S3 also enables customers to restore any point in time.

Amazon S3 is designed to be used with other AWS services such as Amazon EC2, the elastic compute cloud, which allows developers to build, run, and scale applications in the cloud; AWS Lambda, which enables users to run code without provisioning or managing servers; and Amazon DynamoDB, a fully managed database service. These services are designed to work together to provide the best possible performance.

Amazon S3 was built using web-scale infrastructure and focuses on simplicity, security, performance, cost effectiveness, and reliability.

Amazon S3 is a secure place to store objects (e.g., files. on the Internet, using either Web-based interfaces or command line tools. Data stored in Amazon S3 is available anywhere in the world and can be accessed anytime via HTTP or HTTPS using industry standard protocols including REST and SOAP. Data can also be accessed using Microsoft Windows PowerShell or existing development tools such as Apache Ant and Apache Maven because Amazon S3 is compatible with other popular APIs such as the Amazon Web Services SDK and the Google Cloud Storage API.

Amazon S3 stores standard data types such as strings, numbers, and binary data, but it can also store large amounts of unstructured data such as audio files, videos, images etc. Amazon S3 provides secure file management capabilities with integrated support for content expiration, server-side encryption, access control lists (ACLs), cross-origin resource sharing (CORS), digital signatures, versioning, compression and custom media types. Developers can manage all these functions through the S3 console or through a variety of SDKs.

Amazon Chatter is a collaboration platform on AWS that enables organizations to connect employees in real time to collaborate and drive innovation faster.A social network for your company or team, Chatter helps you share ideas with others quickly and easily. You can share messages about news articles, comments on photos or videos, questions or answers about products or services, links to YouTube videos or documents from Microsoft Office or Google Docs, photos from Flickr or Instagram – you name it. And instead of having just one Facebook wall where everyone sees everything you post, Chatter lets you create discrete groups so you can keep conversations focused on specific topics. For example, you could have a group for your department so everyone can discuss upcoming projects – and no one will be distracted by posts about someone's vacation plans or baby pictures! Or you could create groups for a specific project so people can share status updates with their team members without having to filter through unrelated posts. Communication made easy – that's what Chatter is all about!Chatter is fully integrated with the rest of AWS so you can use it with any other AWS service including Amazon EC2 , Elastic Beanstalk , Amazon DynamoDB , Amazon Redshift , Amazon Simple Workflow Service , AWS Lambda , Amazon CloudWatch , Amazon Route 53 , AWS CloudTrail , AWS Config , Amazon CloudFront , Amazon Virtual Private Cloud (VPC. , Automated Scaling , Auto-Scaling Lifecycle Hooks , ElastiCache , Elastic Load Balancing (ELB. , Elasticache , Redshift Spectrum , Elastic File System (EFS. , Glacier Storage , Kinesis Data Streams , Machine Learning (ML. . It also integrates with public services such as Twitter , Facebook , Slack chat .

The process to integrate Amazon S3 and Chatter may seem complicated and intimidating. This is why Appy Pie Connect has come up with a simple, affordable, and quick solution to help you automate your workflows. Click on the button below to begin.