AWS sol architect
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School
Ivy Tech Community College, Northcentral *
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Course
210
Subject
Information Systems
Date
Apr 30, 2024
Type
docx
Pages
115
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Amazon CodeWhisperer analyzes your comments and code as you write them in your integrated development environment (IDE). It goes beyond code completion by using natural language processing to comprehend the comments in your code. By understanding English comments, CodeWhisperer generates complete functions and code blocks that align with your descriptions. CodeWhisperer also analyzes the surrounding code, ensuring the generated code matches your style
and naming conventions and seamlessly integrates into the existing context.
When scanning for security vulnerabilities, CodeWhisperer assesses your code against multiple sets of standards and best practices. This includes the following:
•Open Worldwide Application Security Project (OWASP) standards
•Crypto library best practices
•AWS security standards
The security scan feature is continuously updated to help keep applications free from new security vulnerabilities.
Compatibility: CodeWhisperer integrates with popular tools such as Visual Studio Code, JetBrains IDEs (IntelliJ IDEA, PyCharm, etc.), Amazon SageMaker Studio, JupyterLab, AWS Cloud9, and AWS Lambda console.
Support: CodeWhisperersupports a wide range of programming languages and development environments, including Python, Java, JavaScript, TypeScript, C#, Go, Rust, PHP, Ruby, Kotlin, C, C++, shell scripting, structured query language (SQL), and Scala.
Installation: You can access CodeWhisperer by downloading and installing the AWS Toolkit IDE extension or plugin. You can also activate CodeWhisperer from directly within the AWS Lambda and AWS Cloud9 console code editors.
The code generation feature of CodeWhisperer offers code suggestions in real time in your development environment. It automatically offers code completion and code generation suggestions. It uses natural language processing of English comments in your code and an understanding of surrounding code to suggest whole lines of code, complete functions, and logical blocks of code. The generated code is aligned with your coding style and naming conventions. CodeWhisperer prioritizes secure coding and responsible artificial intelligence (responsible AI) practices. It’s optimized for Amazon APIs and trained extensively on Amazon and open-source code. You have the option to accept the first suggestion, explore more suggestions, or continue writing your own code. It’s important to review each code suggestion before accepting it because you might need to make edits to ensure that the suggestion aligns with your intended functionality.
User actions
•Previous and next suggestion: Use the left arrow and right arrow.
•Accept a suggestion: Press Tab.
•Reject a suggestion: Press Esc.
•Manually start code generation when typing a comment: On MacOS, press Option+C, and on Windows, press Alt+C.
Open Code Reference Log
CodeWhisperer learns from open-source projects and the code it suggests might occasionally resemble code samples from the training data. With the reference log, you can view references to code suggestions that are similar to the training data. When such occurrences happen, CodeWhisperer notifies you and provides repository and licensing information. Use this information to make decisions about whether to use the code in your project and properly attribute the source code as desired.
The security scanning feature of CodeWhisperer detects security vulnerabilities in both CodeWhisperer-generated code and developer-written code. It scans the code to identify potential vulnerabilities and provides suggestions for remediation. This includes scanning for hard-to-find vulnerabilities that might be overlooked. The security scan is compatible with popular IDEs such as VS Code and JetBrains. It supports Python, Java, and JavaScript.
Automated code generation automates repetitive tasks and saves you time. It eliminates the need for you to invest excessive hours in exploring and learning new technologies. Instead, you can rely on high-quality code suggestions that match your coding style. This approach enhances your productivity so you can focus on critical tasks, which encourages innovation and progress in software
development. With automated code generation, you can streamline your workflows and achieve significant time savings while ensuring the delivery of code that meets your standards.
CodeWhisperer code generation offers many benefits for software development organizations. It accelerates application development for faster delivery of software solutions. By automating
repetitive tasks, it optimizes the use of developer time, so developers can focus on more critical aspects of the project. Additionally, code generation helps mitigate security vulnerabilities, safeguarding the integrity of the codebase. CodeWhisperer also protects open source intellectual property by providing the open source reference tracker. CodeWhisperer enhances code quality and reliability, leading to robust and efficient applications. And it supports an efficient response to evolving software threats, keeping the codebase up to date with the latest security practices. CodeWhisperer has the potential to increase development speed, security, and the quality of software.
Module 3 – Guided Lab: Hosting a Static Website
Lab overview and objectives
Static websites have fixed content with no backend processing. They can contain HTML pages, images, style sheets, and all files that are needed to render a website. However, static websites do not use server-side scripting or a database. If you want your static webpages to provide interactivity and run programming logic, you can use
JavaScript that runs in the user's web browser.
You can easily host a static website on Amazon Simple Storage Service (Amazon S3) by uploading the content and making it publicly accessible. No servers are needed, and you can use Amazon S3 to store and retrieve any amount of data at any time, from anywhere on the web.
After completing this lab, you should be able to:
Create a bucket in Amazon S3
Upload content to your bucket
Enable access to the bucket objects
Update the website
Task 1: Creating a bucket in Amazon S3
In this task, you will create an S3 bucket and configure it for static website hosting.
5.
In the AWS Management Console
, on the Services
menu, choose S3
.
6.
Choose Create bucket
An S3 bucket name is globally unique, and the namespace is shared by all AWS accounts. After you create a bucket, the name of that bucket cannot be used by another AWS account in any AWS Region unless you delete the bucket.
Thus, for this lab, you will use a bucket name that includes a random number, such as: website-123
7.
For Bucket name
, enter: website-<123>
(replace <
123
> with a random number)
Public access to buckets is blocked by default. Because the files in your static website will need to be accessible through the internet, you must permit public access.
o
Verify the AWS Region
is set to us-east-1
(if it is not, choose the us-east-1 Region)
8.
In the Object Ownership
section, select ACLs enabled
, then verify Bucket owner preferred
is selected.
9.
Clear Block all public access
, then select the box that states I acknowledge that the current settings may result in this bucket and the objects within becoming public
.
10.Choose Create bucket
.
You can use tags to add additional information to a bucket, such as a project code, cost center, or owner.
11.Choose the name of your new bucket.
12.Choose the Properties
tab.
13.Scroll to the Tags
panel.
14.Choose Edit
then Add tag
and enter:
Key:
Department
Value:
Marketing
14.Choose Save changes
to save the tag.
Next, you will configure the bucket for static website hosting.
15.Stay in the Properties
console.
16.Scroll to the Static website hosting
panel.
17.Choose Edit
18.Configure the following settings:
o
Static web hosting:
Enable
o
Hosting type:
Host a static website
o
Index document:
index.html
Note
: You must enter this value, even though it is already displayed.
o
Error document:
error.html
19.Choose Save changes
20.In the Static website hosting
panel, choose the link under Bucket website endpoint
.
You will receive a 403 Forbidden
message because the bucket permissions have not
been configured yet. Keep this tab open in your web browser so that you can return to it later.
Your bucket has now been configured to host a static website.
Task 2: Uploading content to your bucket
In this task, you will upload the files that will serve as your static website to the bucket.
21.Right-click each of these links and download the files to your computer:
Ensure that each file keeps the same file name, including the extension.
o
index.html
o
script.js
o
style.css
22.Return to the Amazon S3 console and in the website-<123>
bucket you created earlier, choose the Objects
tab.
23.Choose Upload
24.Choose Add files
25.Locate and select the three files that you downloaded.
26.If prompted, choose I acknowledge that existing objects with the same name will be overwritten.
27.Choose Upload
Your files are uploaded to the bucket.
o
Choose Close
Task 3: Enabling access to the objects
Objects that are stored in Amazon S3 are private by default. This ensures that your organization's data remains secure.
In this task, you will make the uploaded objects publicly accessible.
First, confirm that the objects are currently private.
28.Return to the browser tab that showed the 403 Forbidden
message.
29.Refresh the webpage.
If you accidentally closed this tab, go to the Properties
tab, and in the Static website hosting
panel choose the Endpoint
link again.
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