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Amazon Web Services (AWS) is the leading provider of cloud computing services and hosting solutions. Among the vast number of services offered by AWS, the Simple Storage Service (S3) is one of the mostly widely used. This storage service offers high reliability, durability, scalability, and availability when compared to any other storage service.

In this course, you’ll learn about AWS S3 and its features in detail. Not only will you learn how AWS S3 works, you’ll also get hands-on experience with AWS’ security features and how to monitor and manage an AWS-hosted storage solution. By the end of this course, you will be able to use the console and command-line interface (CLI) to perform complex operations and host a static website using S3.

A Programmer’s Guide to AWS S3

In this lesson, we’ll upload files to the bucket created in the last lesson. The data uploaded will be stored as an object.
There are multiple ways to upload an object to the S3 bucket. Let’s learn how to do that using the AWS CLI.




## Use the AWS CLI

In this section, let’s look at CLI commands to upload objects to an S3 bucket.

- **Using high-level S3 copy command**:

   First, let’s look at using the high-level S3 copy command. We can use the following command to copy files from a local directory or a bucket to a destination bucket or a local directory.

  **Syntax:**
  ```
  aws s3 cp <source> <target> [--options]
  ```
  **Example**:
  1. Copy a local file to an S3 bucket:
     ```
     aws s3 cp mountain-bernese.jpg s3://my-pets
     ```
  2. Copy a local folder's content to an S3 bucket:

     ```
     aws s3 cp dogs/ s3://my-pets --recursive
     ```  
 This won’t create a folder prefix with the name “dogs” in S3. It’ll only copy the contents of the dogs/ directory. Here, --recursive is used to copy all the contents of the folder.

- **Using low-level S3 api PutObject command**:

  **Syntax:**
  ```
  aws s3api put-object [-- options]
  ```

  **Example**:
  ```
  aws s3api put-object --bucket my-pets --key mountain-bernese.jpg --body mountain-bernese.jpg
  ```
  Here, `--bucket` specifies the bucket name, `--key` specifies the object key, and `--body` specifies the object data.

This is how we can upload a file to an S3 bucket. For file uploads with sizes up to 5 TB, we have to use multipart upload.

The same set of operations we performed using the AWS CLI can also be performed using the AWS console.

# Use the AWS CLI

In this section, let’s look at CLI commands to upload objects to an S3 bucket.

- **Using high-level S3 copy command**:

   First, let’s look at using the high-level S3 copy command. We can use the following command to copy files from a local directory or a bucket to a destination bucket or a local directory.

  **Syntax:**
  ```
  aws s3 cp <source> <target> [--options]
  ```
  **Example**:
  1. Copy a local file to an S3 bucket:
     ```
     aws s3 cp mountain-bernese.jpg s3://my-pets
     ```
  2. Copy a local folder's content to an S3 bucket:

     ```
     aws s3 cp dogs/ s3://my-pets --recursive
     ```  
 This won’t create a folder prefix with the name “dogs” in S3. It’ll only copy the contents of the dogs/ directory. Here, --recursive is used to copy all the contents of the folder.

- **Using low-level S3 api PutObject command**:

  **Syntax:**
  ```
  aws s3api put-object [-- options]
  ```

  **Example**:
  ```
  aws s3api put-object --bucket my-pets --key mountain-bernese.jpg --body mountain-bernese.jpg
  ```
  Here, `--bucket` specifies the bucket name, `--key` specifies the object key, and `--body` specifies the object data.

This is how we can upload a file to an S3 bucket. For file uploads with sizes up to 5 TB, we have to use multipart upload.

The same set of operations we performed using the AWS CLI can also be performed using the AWS console.

 Learn how to upload an object to an S3 bucket.

Introduction

Get Started with S3

Work with S3

Create an S3 Bucket

Static Web Hosting Using S3

Host a Static Website on S3

Manage and Monitor S3

Manage and Monitor S3

Appendix

Conclusion

Upload an Object

Use the AWS CLI