Amazon Q

• Amazon Q
  • Amazon Q Business
    • Key Capabilities
    • Data Connectors (Fully Managed)
    • Plugins
    • User Access and Authentication
    • Admin Controls
    • Security \& Data Privacy
  • Amazon Q Apps
  • Amazon Q Developer
    • 1. AWS Account Interaction
    • 2. AI Code Companion for AWS-based development

Amazon Q Business

• Fully managed Gen-AI assistant designed specifically for employees
• Based entirely on company’s knowledge and data
• Provide company-specific assistance that general foundation models cannot provide
• Amazon Bedrock (but users have less control over underlying models; uses multiple foundation models)
• Higher-level service focused on exposing internal data from Gen-AI perspective

Key Capabilities

• Answer questions: Retrieve information from internal documents with source
• Provide summaries: Extract and summarize information from company data
• Generate content: Create job postings, social media posts, reports, etc. based on company data
• Automate tasks: Perform routine actions automatically
  • Example: Submit time-off requests, send meeting invites, create tickets
• Document retrieval: Similar to Retrieval-Augmented Generation (RAG); looks up documents and displays sources

Data Connectors (Fully Managed)

• Support 40+ popular enterprise data sources
• AWS Services:
  • Amazon S3, Amazon RDS, Amazon Aurora
  • WorkDocs (document management)
• Non-AWS Services:
  • Microsoft 365, Salesforce, Google Drive, Gmail, Slack, SharePoint, etc.
• Automatically crawls sources to enable searching and querying without requiring individual configuration

Plugins

• Enable interaction with third-party services beyond data retrieval
• Pre-built Plugins like Jira, ServiceNow, Zendesk, Salesforce
• Create custom plugins to connect to any third-party application using APIs
• Example Use Case: “Create a Jira issue” → Plugin automatically creates the ticket

User Access and Authentication

• IAM Identity Center manages user access
• Sign-in interface with username and password
• IAM Identity Center ensures users can only access documents they’re authorized to view
• External Identity Providers: Can integrate with:
  • Google Login
  • Microsoft Active Directory
  • Existing company credential systems
• Seamless, secure authentication aligned with company security infrastructure

Admin Controls

• Customize responses based on organizational needs
• Equivalent To Bedrock Guardrails functionality
• Capabilities:
  • Block specific topics or words: Restrict queries on certain subjects (e.g., gaming consoles)
  • Data source configuration: Respond with only internal information or include external foundation model knowledge
  • Topic-level or global controls: Apply restrictions at specific topic level or across all topics
  • Flexible management: More control over content and responses

Security & Data Privacy

• Document-level access control: Users only see responses from documents they have permission to access
• No unauthorized access: IAM Identity Center prevents unauthorized viewing of sensitive information
• Admin oversight: Admin controls ensure organizational policies are maintained

Amazon Q Apps

• Create Gen-AI powered applications without coding, using only natural language
• Enable anyone in the company to build applications based on company data
• App development for non-technical users
• Leverages Company’s internal data and plugins (e.g., Jira, Salesforce)
• Use Cases
  • Employee HR applications (time-off requests, benefits lookup)
  • Customer service tools (FAQ, document search, issue creation)
  • Business process automation (document processing, ticket creation)
  • Data analysis and reporting tools
  • Internal knowledge retrieval applications

Amazon Q Developer

• Specialized AI assistant for AWS development and AWS account management
• Two Main Functionalities:
  1. AWS Account Interaction and Documentation Assistance
  2. AI Code Companion for AWS-based development

1. AWS Account Interaction

• Query AWS Resources
  • Ask about resources in AWS accounts
  • Example: “List all my Lambda functions” → Provides names, count, and region information
• CLI Command Generation
  • Suggest appropriate CLI commands for AWS operations
  • Example: “Change the timeout of a Lambda function named Test API1 in the Singapore region to 10 seconds”
  • Benefit: Eliminates need to memorize exact command syntax; generates correct, executable commands
• Cost Analysis & Troubleshooting
  • Analyze AWS spending patterns and cost drivers
  • Example: “What were the top three highest cost services in Q1 from my accounts?”
  • Error Resolution: Troubleshoot AWS errors and identify solutions

2. AI Code Companion for AWS-based development

• Specialized for building on AWS (like GitHub Copilot but AWS-specific)
• Supports many languages: Java, JavaScript, Python, TypeScript, C#, etc.
• It can give us real-time code suggestions and security scans
• It provides also a software agent to implement features, generate documentation and bootstrap new projects
• Works with several IDEs, such as VSCode, JetBrain suite, Visual Studio
• Beside all of this it can do the following:
  • Answer questions about AWS development
  • Do code completion and code generation
  • Scan code four vulnerabilities
  • Debugging, optimizations and improvements