Modood Alvi
30 powerful AWS hacks in just 30 minutes: Boost your developer productivity
#1about 5 minutes
Designing AWS solutions with AI-powered planning tools
Use Amazon Q and MCP servers to explore services, generate architecture diagrams, and estimate costs before writing code.
#2about 3 minutes
Accelerating development with AI and security tools
Bootstrap projects and implement features with Amazon Q Developer, deploy web apps with Lambda Web Adapter, and integrate security scanning.
#3about 4 minutes
Building agents and simplifying complex tasks
Leverage the Strand framework to build AI agents, use the IAM Policy Simulator to debug permissions, and auto-generate documentation.
#4about 6 minutes
Enhancing applications with observability and authorization
Integrate structured logging and tracing with AWS Power Tools and manage fine-grained access control with Amazon Verified Permissions.
#5about 4 minutes
Streamlining testing with local environments and AI
Run Step Functions and DynamoDB locally for rapid iteration and use AI to generate unit tests and synthetic test data.
#6about 3 minutes
Deploying and maintaining applications with MCP servers
Use MCP servers to manage infrastructure with CDK or Terraform, query databases, and analyze logs and costs from your CLI.
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Q&A on developer advocacy and technical details
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Audience Q&A on serverless IoT development
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Implementing AWS cost optimization strategies
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Achieving massive scale on AWS for Prime Day
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Demoing an AI assistant for infrastructure as code
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Exploring the AWS generative AI stack for developers
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Using managed cloud services for greater efficiency
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A technical overview of AWS container services
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