This should be sufficient enough, as it provides the access key ID and secret access key required to work with AWS SDKs and APIs.Ĭlick on the blue button at the bottom of the page that says Next: Permissions. Scroll down to find and click on “IAM” under the Security, Identity, & section tab or type the name into the search bar to access the IAM Management Console.Ĭhoose Users on the left side of the console and click on the Add user button as seen in the screenshot below:Ĭome up with a user name such as "myfirstIAMuser" and check the box to give the user Programmatic access. Log in to the AWS console on your browser and click on the Services tab at the top of the webpage. In order for the Python Flask application to work, an Identity and Management (IAM) User needs to be created. Scroll all the way down and click the orange Create Bucket button to see the newly created bucket on the S3 console.Ĭreate an IAM user on Amazon Web Services
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California) (us-west-1)" while another developer in Oregon would prefer to choose "US West (Oregeon) (us-west-2)" instead.įeel free to leave all the settings that follow as default. Someone living in California might choose "US West (N. For example, a US developer would need to make sure their instances are within the United States. Regions are determined by where AWS data centers are located and thus, it's usually recommended to pick the one closest to you. It is also important to know that the AWS Region must be set wisely to save costs. Since this article uses the name "lats-image-data", it is no longer available for any other customer. Keep in mind that bucket names have to be creative and unique because Amazon requires unique bucket names across a group of regions.
The bucket in this tutorial will be named "lats-image-data" and set to the region "US East (Ohio) us-east-2". Give your bucket a unique bucket name that does not contain spaces or uppercase letters. Click on “S3” under the Storage tab or type the name into the search bar to access the S3 dashboard.Ĭlick on the orange Create Bucket button as shown below to be redirected to the General Configuration page. We will be testing the entire project later in the article. However, since you don't have an app.py file yet, nothing will happen though, this is a great indicator that everything is installed properly.įeel free to have Flask running in the background as you explore the code. Notice that debugging mode is active: when in this mode, the Flask server will automatically restart to incorporate any further changes you make to the source code. The service is running privately on your computer’s port 5000 and will wait for incoming connections there. The screenshot above displays what your console will look like after running the command flask run. Then run the command flask run in your terminal to start the Flask framework. These lines are convenient because every time the source file is saved, the server will reload and reflect the changes.
These incredibly helpful lines will save time when it comes to testing and debugging your project. We’ll start off by creating a directory to store the files of our project. Refer to the S3 pricing guide and proper docs to prevent future charges. Make sure you stay within the Free Tier limits to avoid surplus charges at the end of the month. It is worth noting that you should take extra precautions if you are deploying an app onto AWS. A credit card for AWS to have on file in case you surpass the Free Tier eligibility options.Create a free account or sign in to your AWS console.
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If your operating system does not provide a Python interpreter, you can go to to download an installer. In order to build this project, you will need to have the following items ready:
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The Python code interacts with the S3 buckets to store and retrieve objects with flexible permission changing settings.įollow along in this tutorial to learn more about how a Python and Flask web application can use Amazon S3's technologies to store media files and display them on a public site. However, this is part of the process when scaling a small application that might rely on in-house databases such as SQLite3.Īmazon Simple Storage Service (Amazon S3) offers fast and inexpensive storage solutions for any project that needs scaling. It can be difficult navigating external platforms and storing data to the cloud.
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