Integrate Amazon S3 with Mattermost

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

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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 Mattermost

Mattermost is an open source team collaboration platform tht brings all your company's conversations, documents, and applications together in one place, making it easy for your team to collaborate securely on the things that matter most.

Mattermost Integrations
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Looking for the Mattermost Alternatives? Here is the list of top Mattermost Alternatives

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Best Amazon S3 and Mattermost Integrations

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    Post Message in Mattermost when New or Updated File is created in Amazon S3 Read More...
    Close
    When this happens...
    Amazon S3 Integration New or Updated File
     
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    Mattermost Integration Post Message
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    Mattermost + Amazon S3

    Create Text Object to Amazon S3 from New Message Posted to Channel in Mattermost Read More...
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    When this happens...
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    Create Bucket to Amazon S3 from New Message Posted to Channel in Mattermost Read More...
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  • Amazon S3 Integration Amazon S3 Integration

    Mattermost + Amazon S3

    Upload File in Amazon S3 when New Message Posted to Channel is created in Mattermost Read More...
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    Gmail + Amazon S3

    Upload Files in Amazon S3 from new emails on Gmail [REQUIRED : Business Gmail Account] Read More...
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    Amazon Simple Storage Service (Amazon S3) is one of the best scalable, high-speed, web- based cloud storage service available today. Businesses around the world use this service to store and retrieve unlimited amount of data. This integration can simplify your email and file management by automatically saving your email attachments to Amazon S3 for safekeeping. Once you set up this Gmail-Amazon S3 integration, whenever you get a new email in Gmail with an attachment, Appy Pie Connect will save it to the Amazon S3 - just be sure to pick one when setting this up, otherwise we'll save all emails having an attachment.

    How It Works
    • A new email with attachment is received on Gmail
    • Appy Pie Connect automatically saves it to Amazon S3.
    What You Need
    • A Gmail account
    • A Amazon S3 account
  • Amazon S3 Integration {{item.actionAppName}} Integration

    Amazon S3 + {{item.actionAppName}}

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Connect Amazon S3 + Mattermost in easier way

It's easy to connect Amazon S3 + Mattermost 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 Message Posted to Channel

    When message post on perticular channel.

    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.

  • Post Message

    Post a new message to a channel.

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

How Amazon S3 & Mattermost 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 Mattermost 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 Mattermost.

    (2 minutes)

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

Integration of Amazon S3 and Mattermost

Amazon S3 is a widely used and mature object storage service. It can be considered as the first generation of cloud storage. Many IT organizations are familiar with Amazon S3. Any IT organization that wants to save their data in the cloud will consider Amazon S3 for internal or external use.

Mattermost is a team chat app built on top of Slack. It is easy to use, secure, and integrates with many other applications. The design concept of Mattermost is based on the original Slack, which was created by the team behind Slack at Github.

When Amazon S3 and Mattermost are integrated together, we could store our valuable data in Amazon S3 and still have access to it from anywhere via our Mattermost desktop client. In addition, from a security perspective, users could be restricted from accessing their Amazon S3 file system if they need to access sensitive information. For example, we do not want our employees to access their own account password via AWS conspe while they are working remotely. With this two-factor authentication process, we could make sure that only authorized employees could access the information.

In this section, we will show how to integrate Amazon S3 and Mattermost. First of all, we need to create a new user in AWS IAM conspe with an email address like [email protected]. This email address will be used as the username of our user on Mattermost. However, the email address cannot be used as the primary email address on our account. Therefore, we have to use another email address (for example, [email protected]. as the primary email address on our account. After creating the user in IAM conspe, we can export the Access Key Id and Secret Access Key as fplows:

Access Key Id . AKIAJIH-SPEAKERF7VYGLAMQAWXXXXXXX

Secret Access Key. wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY

Next, we need to create a new user group called “machines” by adding the new email address of our user [email protected]. We also need to assign “Edit” permissions for this user group:

After creating the new user group in AWS IAM conspe, we can create a new bucket in Amazon S3 conspe:

The name of the bucket is mattermost-api-data . We can set the fplowing values for this bucket:

Endpoint . http://localhost/s3-endpoint-for-mattermost-data/

. http://localhost/s3-endpoint-for-mattermost-data/ Website endpoint . http://localhost/s3-endpoint-for-mattermost-data/website/index.html

. http://localhost/s3-endpoint-for-mattermost-data/website/index.html Location . us-east-1 (or any region you want)

. us-east-1 (or any region you want. Permissions. public-read (or private if you want to restrict access)

Then we can configure our Mattermost server installation to use this new bucket as a storage location by adding the fplowing setting in /usr/local/etc/mattermost/config/server.json :

{ "DiskStore". "S3", "S3BucketName". "mattermost-api-data", "S3KeyPrefix". "/mattermost-api-data", "S3IndexPrefix". " } 1 2 3 4 5 6 { "DiskStore" . "S3" , "S3BucketName" . "mattermost-api-data" , "S3KeyPrefix" . "/mattermost-api-data" , "S3IndexPrefix" . " }

After configuring Mattermost server installation to use Amazon S3 as a storage location, we need to enable federation module on Mattermost server instance and enable SAML2 provider on AWS IAM conspe:

We also need to enable SAML2 identity provider on Mattermost server instance and add our user groups (in this case it is “machines”. in the provider configuration:

We also need to create an A record for our domain name “example.com” in DNS management dashboard so that it points to our server instance IP address:

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