Amazon Q Developer - Your generative AI-powered assistant for work | Amazon Web Services

Summary

In this informative video, Ankush Goyal and Jackie Eamboriboon from AWS introduce Amazon Q, a Gen AI-powered assistant designed to enhance operational efficiency. Amazon Q offers tailored coding support, data summarization, and problem-solving capabilities while prioritizing data security and privacy. The video showcases various use cases, including EC2 instance recommendations, troubleshooting console errors, cost analysis with Cost Explorer, network connectivity issues, and creating AWS support cases, all through a user-friendly interface that integrates seamlessly with existing workflows.

Takeaways

• 🚀 Amazon Q is a Gen AI-powered assistant by AWS designed to assist with coding, answering questions, summarizing data, generating content, and solving problems.
• 🔒 Amazon Q was built with a focus on security and privacy, making it suitable for organizations to use safely.
• 🛠️ Amazon Q offers multiple areas of expertise to cater to the needs of various users and roles within an organization.
• 💼 The Amazon Q business plan provides capabilities for every employee, connecting to customer data repositories and summarizing data.
• 👨‍💻 Amazon Q Builder is a product for developers and IT professionals, assisting in writing, debugging, testing, and transforming code.
• 📊 Amazon Q in QuickSight helps customers quickly derive insights from data using natural language queries.
• 💬 Amazon Q in Connect assists in customer support by reducing the effort involved in support engagements.
• 🌐 Amazon Q is available across various platforms including AWS consoles, IDEs, AWS documentation, mobile applications, and integrates with communication tools like Slack and Teams.
• 🛠️ The script demonstrates using Amazon Q for EC2 instance recommendations based on specific use cases and priorities.
• 🔍 The troubleshooting use case showcases how Amazon Q can help diagnose and resolve issues, such as Lambda functions lacking S3 bucket write permissions.
• 📈 Amazon Q can perform cost analysis, answering queries about AWS service costs directly using natural language.
• 🔌 The script also covers using Amazon Q to troubleshoot network connectivity issues and the integration with VPC Reachability Analyzer.
• 🆘 Lastly, Amazon Q can facilitate the creation of AWS support cases by summarizing troubleshooting context and automatically generating case details.

Q & A

What is Amazon Q?

Amazon Q is a Gen AI-powered assistant developed by AWS that helps users write code, answer questions, summarize data, generate content, solve problems, and even manage AWS resources while prioritizing security and privacy.

Why was Amazon Q built?

Amazon Q was built to address the limitations of existing AI chat applications, which lack detailed knowledge about customers' specific business use cases, data, operations, and do not meet data privacy and security requirements.

What are the multiple areas of expertise that Amazon Q has?

Amazon Q has expertise in various areas to meet the needs of different users and roles across organizations, including capabilities for every employee with the Amazon Q business plan, developers and IT professionals through Amazon Q Builder, and integrations with QuickSight and Connect.

How can Amazon Q help with EC2 Instance Recommendations?

Amazon Q can provide EC2 instance recommendations based on the user's specific use case, workload type, priorities, and CPU manufacturer preferences, guiding users to select the most suitable instance type for their needs.

What is the purpose of Amazon Q in QuickSight?

Amazon Q in QuickSight helps customers quickly drive data insights using natural language, allowing users to interact with their data more intuitively and efficiently.

How does Amazon Q assist with troubleshooting console errors?

Amazon Q can analyze error details and provide troubleshooting steps to resolve issues, such as suggesting necessary permissions adjustments for a Lambda function that failed to write to an S3 bucket.

What is the new functionality of Amazon Q related to cost analysis?

The new functionality of Amazon Q allows users to perform cost analysis using natural language queries, such as asking for the top three highest cost services in a specific quarter or the total spending in a given period.

How can Amazon Q help with network connectivity issues?

Amazon Q integrates with tools like VPC Reachability Analyzer to provide interactive troubleshooting for network connectivity issues, guiding users through the resolution process.

What is the process of creating an AWS support case using Amazon Q?

Amazon Q can summarize a user's conversation context regarding troubleshooting issues and automatically generate a support case, including technical details and severity level, ready for submission.

Where is Amazon Q available for use?

Amazon Q is available in various places where users work, including AWS consoles, favorite IDEs, AWS documentation, mobile applications, and can be integrated with communication platforms like Slack and Teams through AWS Chatbot.

Outlines

00:00

🚀 Introduction to Amazon Q for Business Operations

The video introduces Ankush Goyal and Jackie Eamboriboon, both technical account managers at AWS, who will explore Amazon Q, a Gen AI-powered assistant designed to assist with coding, answering queries, summarizing data, generating content, and problem-solving. Amazon Q is tailored to meet the specific business needs and data privacy/security requirements of its users. It offers capabilities for various user roles and integrates with AWS resources, including Amazon Q Builder for developers and IT professionals, QuickSight for data insights, and Connect for customer support. The tool is accessible across various platforms, including AWS consoles, IDEs, documentation, mobile apps, and messaging services like Slack and Teams.

05:00

🛠 Use Cases and Demos of Amazon Q

This section of the script discusses various use cases for Amazon Q, including EC2 Instance Recommendations, troubleshooting console errors, cost analysis with Cost Explorer, and resolving network connectivity issues. The script provides a walkthrough of how to use Amazon Q for EC2 instance selection based on specific use cases and priorities. It also demonstrates troubleshooting a Lambda function that failed to write to an S3 bucket due to permission issues and how Amazon Q can guide users to resolve such issues. Additionally, the script highlights Amazon Q's new functionality for cost analysis, where users can ask natural language questions to get insights from Cost Explorer, and the ability to troubleshoot network connectivity issues with the help of VPC Reachability Analyzer, concluding with the creation of an AWS support case using Amazon Q.

10:06

💡 Advanced Amazon Q Features and Support Case Automation

The final paragraph showcases advanced features of Amazon Q, such as its ability to analyze and provide the top AWS services by cost for a specified period using natural language queries. It also illustrates how Amazon Q can assist with troubleshooting network connectivity issues by integrating with the VPC Reachability Analyzer tool. If the issue persists, Amazon Q can automate the process of creating a support case by summarizing the conversation context and pre-filling the case details, allowing users to quickly submit a support request with the appropriate severity and technical information.

Keywords

💡Amazon Q

Amazon Q is a Gen AI-powered assistant developed by AWS, designed to assist users in various tasks such as coding, answering questions, summarizing data, and solving problems. It is a central theme of the video, illustrating how AWS is leveraging AI to enhance operational efficiency and user experience. The script mentions Amazon Q's ability to connect to customer data repositories, answer questions, and even take actions on behalf of the user.

💡Technical Account Manager

A Technical Account Manager (TAM) is a professional who acts as a liaison between a service provider and its clients, ensuring that the client's needs are met and that they are using the service to its full potential. Ankush Goyal and Jackie Eamboriboon, both introduced in the script, are TAMs at AWS, highlighting their roles in guiding customers through the use of Amazon Q and other AWS services.

💡Gen AI

Gen AI, or General Artificial Intelligence, refers to AI systems that possess the ability to perform any intellectual task that a human being can do. In the context of the video, Amazon Q is described as a Gen AI-powered assistant, indicating its advanced capabilities to understand, learn, and assist in a wide range of tasks, as demonstrated by its features to write code, summarize data, and manage AWS resources.

💡Data Privacy and Security

Data privacy and security are critical aspects of modern technology services, ensuring that sensitive information is protected from unauthorized access or breaches. The script emphasizes that Amazon Q was built with these considerations in mind, making it a safer choice for organizations that prioritize the protection of their data and operations.

💡Amazon Q Builder

Amazon Q Builder is a tool mentioned in the script that is designed for developers and IT professionals. It assists users in writing, debugging, testing, and transforming their code, such as updating from an older version of Java to the latest version. This tool exemplifies AWS's commitment to providing comprehensive support for developers at all stages of the coding process.

💡QuickSight

Amazon QuickSight is a business analytics service that allows users to visualize and analyze data using natural language queries. In the script, it is mentioned that Amazon Q is offered in QuickSight, enabling customers to quickly gain insights from their data through natural language interactions, which showcases the integration of AI with data analytics.

💡Connect

Amazon Connect is a cloud-based contact center service that enables companies to deliver better customer service at a lower cost. The script refers to Amazon Q in Connect, suggesting that it can help alleviate the workload in customer support engagements by providing AI-driven assistance, thereby enhancing the efficiency of customer service operations.

💡EC2 Instance Recommendations

EC2, or Elastic Compute Cloud, is a web service that provides resizable compute capacity in the cloud. The script discusses a use case where Amazon Q provides recommendations for EC2 instance types based on user-defined criteria such as use case, workload type, and performance priorities. This feature is an example of how Amazon Q can assist in making informed decisions about AWS resource allocation.

💡Troubleshoot

Troubleshooting refers to the process of identifying and resolving issues with a system or application. The video script provides examples of how Amazon Q can be used to troubleshoot console errors, such as a Lambda function failing to write to an S3 bucket due to permission issues. This demonstrates Amazon Q's capability to analyze problems and provide step-by-step solutions.

💡Cost Analysis

Cost analysis involves examining the expenses associated with using a service or product to make informed financial decisions. The script mentions using Amazon Q for cost analysis, allowing users to ask natural language questions about their AWS spending, such as identifying the top cost services or querying total spending in a given quarter.

💡VPC Reachability Analyzer

VPC Reachability Analyzer is a tool that helps users to diagnose network connectivity issues within their Amazon Virtual Private Cloud (VPC). The script briefly mentions the integration of this tool with Amazon Q to provide interactive troubleshooting for network-related issues, showcasing AWS's approach to simplifying complex network diagnostics.

💡AWS Support Case

An AWS Support Case is a ticket submitted to AWS for assistance with technical issues or questions about AWS services. The video script describes how Amazon Q can facilitate the creation of a support case by summarizing a conversation's context and automatically generating a case for the user, streamlining the process of seeking help from AWS support.

Highlights

Introduction of Amazon Q, a new service by AWS designed to assist in various operations with a focus on security and privacy.

Amazon Q is powered by AWS Gen AI, offering capabilities such as coding assistance, answering questions, data summarization, and problem-solving.

Amazon Q is designed to meet the data privacy and security requirements, making it safer for organizations to use.

Amazon Q has multiple areas of expertise catering to different users and roles within organizations.

Amazon Q Business Plan provides capabilities for every employee, including connecting to customer data repositories and taking actions on their behalf.

Amazon Q Builder is available for developers and IT professionals to assist in code writing, debugging, testing, and transformation.

Amazon Q in QuickSight helps drive data insights using natural language queries.

Amazon Q in Connect aids in reducing the workload in customer support engagements.

Amazon Q is accessible in various platforms such as AWS consoles, IDEs, documentation, and mobile applications.

Amazon Q integrates with communication tools like Slack and Teams through AWS Chatbot, fitting seamlessly into existing workflows.

Use case demonstration of EC2 Instance Recommendations using Amazon Q to provide advice based on specific use cases and priorities.

Troubleshooting console errors with Amazon Q by diagnosing Lambda function issues and providing steps to resolve permission errors.

Cost analysis using Amazon Q to quickly identify the top cost services and total spending in specific quarters without manual exploration.

Network connectivity issue troubleshooting with Amazon Q, integrating VPC Reachability Analyzer for interactive diagnostics.

Creating AWS support cases with Amazon Q by summarizing troubleshooting context and automatically generating support case submissions.

Amazon Q's ability to transform work processes and provide assistance in various AWS services, enhancing operational efficiency.

Transcripts

- Hello everyone, my name is Ankush Goyal

and I'm a senior technical account manager here at AWS.

- Hi everyone, this is Jackie Eamboriboon.

I'm also a technical account manager

at the Amazon Web Service.

- [Angkush] In today's video, we'll explore

how Amazon Q Developer can help you in your operations.

Let's first talk about what Amazon Q is.

There are millions of people

who are using Amazon AI chat applications

and what early providers have done

in this space is very exciting and useful for our customers.

However, these offerings are very limited

in how much they can help people at work

because they use very general knowledge

about their customers.

They don't know about the customers in detail,

about their specific business use cases,

about their data, about their operations,

and they were not designed to meet the data privacy

and security requirements.

This is why AWS has built Amazon Q.

AWS Gen AI powered assistant that helps you to write code,

answer your questions, summarize data, generate content,

and solve problems.

Even it can manage your AWS resources

and take actions on your behalf.

Amazon Q is built with security

and privacy in mind from the start, which make it easier

for organizations to use Gen AI safely.

Amazon Q has multiple areas of expertise

to meet the needs of different users

and roles across organizations.

Amazon Q provides capability for every employee

with the Amazon Q business plan.

Q can connect to customers data repository,

answer their questions and summarize the data

and can carry on the conversation

and even can take actions on your behalf.

Another product Amazon Q for developers

and IT professionals are available through Amazon Q Builder.

It can help you to write, debug, test,

and transform your code, such as moving from one old version

of Java to the latest version.

We also offer Amazon Q in QuickSight,

which can help customers

to quickly drive data insights using natural languages

and Amazon Q in Connect can also help you

to remove the heavy lifting

from customer support engagements.

Q is transforming the way you do your work

and is available wherever you work, such

as it's available in AWS consoles, your favorite IDE.

It's available in AWS documentation

and in the mobile applications as well.

It integrates with Slacks and Teams

through your AWS Chatbot and can easily integrate

or fits with your existing workflows.

Now, I'll hand it over to Jackie

who will talk about few use cases

and give you a quick demo on how you can use Amazon Q.

- [Jackie] All right, today we are gonna be working

on the use case of how Q can help you

on your day to day works.

First use case we gonna be covered today

is EC2 Instance Recommendation using Amazon Q.

And the second one, troubleshoot console error

with Amazon Q and followed by the cost analysis

and the cost explorer using Amazon Q.

And we also will cover the troubleshooting network

connectivity-related issue using Amazon Q.

And last but not least,

create AWS support case using Amazon Q.

All right, let's dive into the first use case,

use EC2 Instance Recommendations.

So, we're gonna go into the console

and so basically we are gonna go to the EC2 console.

So, with that we just go to click on the one instant,

but we're not gonna launch the instant.

We going to get some advice,

you know, basically based on your particular use case.

We're gonna go to advice.

So, basically you just provide a use case,

what use case that fit with your need.

So, in this case, I'm gonna choose Data Science Analytics

and basically workload type,

something aligned to that, right?

Scientific simulation, more cost computings

and priorities, what do you really need?

You need the low cost, high performance?

High performance in this case I want to get the result fast,

so I want to, I aim for the high performance.

For the CPU manufacturer, you can choose the specific type

of the architecture, Intel, AMD, Graviton, even Apple Max.

In this case, I will put it, no preference.

So, and basically just get Instant type advice.

So, basically with that use case and workload type

and you put in priorities, it will generate the prompt

for Amazon Q and you just have to send the prompt

to process and basically it just gonna provide you

the result with the EC2 Instance Recommendation.

So, in this case, EC2 instant selection.

They recommend instant family, C7i, C6i,

P3, F1, C7a, HPC7A, HPC6A, C6a.

And basically, they also provide some reason

why they recommend those type of instance

and also they provide you some link to reference

to that detail of that type of instance.

All right, we'll go through the next use case.

The next use case troubleshoot console error using Amazon Q.

So, for this particular sample, I'm gonna use the lambda

for the sample of the troubleshootings.

So, we have a lambda function that I created for S3.

So, basically this lambda function is a function

to write a file to S3 written in Python code.

So, very simple functions.

So, basically just write a text

and then we basically just write this text to the S3 bucket.

So, I'm basically, I'm gonna run these functions

and basically we get the error

because the executing function fail.

So, we have some error details.

So, you see the button show diagnostic with Amazon Q.

You can click this button.

And so basically Q will provide some detail

that this error indicated lambda function does not have

necessary permissions to write the object to the S3 bucket.

So, basically you can click further, click this

to get further assistant help me resolve this issue.

So, with that Q we'll provide you some step

to fix the issue.

So this, it depends on the nature of the issue.

This could take a few minutes before it come back.

All right, so basically Q recommend

to follow this step to resolve the error.

So, if you don't have a permission, go

to the IAM basically looking at the role.

So, just to make sure that the role have a permission

for you to write into the S3 bucket.

So, in this case, maybe we can try

to see we can resolve the issue.

So, we go to configurations, look at the permission.

So, we notice that we only...

For this particular one, let's click on the edits.

So, basically we only have a permission

to write to car wash stock.

So, with this, I already created a role

that have a permission, just want to show you we can fix it

by give it right permission to be able to write to S3.

So, I changed to the role that have access

to write a file to S3.

After that, we can just go back and rerun the test.

All right, screen.

So now, since we have permission,

so now we successfully write the text to the S3 bucket.

All right, we'll go to the next use case.

So recently, Q just launched the new functionality.

So, basically you can eventually

analyze cost analysis from Cost Explorer.

So, let me give you some sample of this.

So, let's ask Q,

what were the top three highest cost service in Q4 2023?

So, basically instead of you going to Cost Explorer

and have to, you know, click all those,

you can use the natural language and ask that.

And basically, the top three highest cost

of AWS Service in Q4 2023 were

RDS and then followed by Redshift and CodeWhisperer.

and give you a detail of that when you mentioned Q4,

that range start from October 2023 to December 31st, 2023.

Let's do another sample.

Let's see, what was total spending in Q1?

So, in this case, if you don't put in the year,

basically it will just assume the current, which 2024.

So, total AWS spending in Q1 was 775.78.

All right, that's another use case.

Troubleshoot network connectivity-related issue

using Amazon Q.

So, for this particular one, you can simply just type in,

you know, if you have issue, try to, you know,

get to the EC2.

Instead, you can basically just ask you, you know,

why can't I Secure Shell to EC2 instance?

So, basically, you know, look like you need help

with the network connectivity issue.

Yeah, so Q is basically integrate

with the tools called VPC Reachability Analyzer

to provide you interactive troubleshootings.

So, basically, you just click the link here.

Currently, it's still in preview mode

and it's only available in the US East 1.

For this demo, we won't dive into the detail,

but we will provide you the link

and QR code for the YouTube video that deep dive

into this particular VPC Reachability Analyzer tools.

All right, so in this case we assume that, you know,

that tools, after using that tool,

you still cannot fix the issue

and you need to talk to the support.

Normally, we're gonna just have to open the case

we support, but with Q you can just say,

"I believe we need to talk to support."

So, Q will use the context of your conversation.

You can basically ask many question

regarding to troubleshooting.

Q will summarize it and basically drop the case for you.

So, as you see, we already put in the case for you.

Customer was unable to Secure Shell to the EC2 instance.

So, you already tried the VPC tools

and it doesn't fix the issue.

So, now, you need to open the case.

It already dropped the case ready for you,

already put in technical type,

so you just have to choose a survey.

In this case, you're using Linux, you just put Linux

and then the default is the severity, general guidance.

But if this is a urgent or critical,

you can set the severity to be, you know,

align with your need.

This is critical if this a production outage

and then basically you just hit the submit.

You can attach a file to this

and then it will automatically generate

support case for you.

Okay, that will be the last use case for today.