• Introduction to Cargo Lambda

  • Interacts with AWS Lambda ecosystem from the terminal
  • Enables native running, building, and deployment of Lambda functions
  • No need for containers or VMs

• Installation Options

  • Homebrew (recommended for macOS and Linux)
  • Scoop for Windows
  • Docker and Nix as alternatives
  • Binary release or building from source

• Getting Started

  • Use cargo lambda new to create a project
  • Directory structure includes package management, default code, compiler, and linter
  • cargo lambda watch for immediate code writing
  • cargo lambda invoke for testing with JSON payloads

• Web Framework Support

  • Ability to expose microservices with HTTP interfaces

• Deployment Process

  • cargo lambda build --release for building (including ARM64 support)
  • cargo lambda deploy for straightforward deployment

• Additional Features

  • Verbose mode and tracing options available
  • Integration with GitHub Actions and AWS CDK

• Advantages of Cargo Lambda

  • Leverages the robust Rust ecosystem
  • Modern package management with Cargo
  • Potentially easier than scripting languages for Lambda development

1. Cargo Lambda offers a superior method for interacting with AWS Lambda compared to scripting languages.
2. The tool provides a streamlined workflow for creating, testing, and deploying Lambda functions.
3. It leverages the Rust ecosystem, offering modern package management and development tools.
4. Cargo Lambda supports both function-based and web framework approaches for Lambda development.
5. The ease of use and integration with AWS services make it an attractive option for Lambda developers.

🎓📚 Unlock the power of AI with two Master's degrees worth of courses on edX, covering everything from ☁️ Cloud Computing to 🦀 Rust to 🤖 LLMs and 🎨 Generative AI! 🚀

👉 Join the Pragmatic AI Labs Community now:

1. 🔥 edX 🔥
2. 💬 Discord Community 💬
3. 🌟 Coursera 🌟
4. 🌟 Future Learn 🌟
5. 🌟 Linkedin Learning 🌟

🎉 Start your AI journey today and take your skills to the next level! 🎉

• A framework for building tools and workflows for Rust on AWS Lambda

1. Rust Performance

   • Allows writing AWS Lambda functions in Rust
   • Provides amazing performance and low cold start times
   • Leverages modern compilation features of Rust

2. Type Safety

   • Utilizes Rust's strong type system
   • Helps catch errors at compile time
   • Reduces runtime errors in production

3. Memory Safety

   • Implements Rust's Ownership model
   • Prevents common bugs like null pointer dereferences
   • Eliminates data races without a garbage collector

4. Easy Deployment

   • Simplifies the process of building, testing, and deploying Rust functions to AWS Lambda
   • Leverages Rust's modern binary-based features for optimized and cross-compiled binaries

5. Local Testing

   • Provides tools for running and debugging Lambda functions locally
   • Enhances the development and prototyping process

6. Custom Runtime

   • Leverages the AWS Lambda Rust runtime
   • Allows optimization for Rust's unique performance capabilities

7. Ecosystem Integration

   • Easy integration with other AWS services
   • Seamless connection to the broader Rust ecosystem

8. Resource Efficiency

   • Utilizes Rust's naturally low memory footprint
   • Potentially 70-80% less memory usage compared to languages like Python
   • Cost-effective for data engineering pipelines

9. Cross-compilation Support

   • Enables building Lambda functions for different architectures
   • Allows targeting ARM for cost savings on high-performance functions

10. Productivity

    • Streamlines the development workflow for Rust
    • Combines powerful features with time-saving processes

Cargo Lambda offers a compelling solution for developers looking to leverage Rust's power in serverless environments, providing a unique combination of performance, safety, and ease of use.

🎓📚 Unlock the power of AI with two Master's degrees worth of courses on edX, covering everything from ☁️ Cloud Computing to 🦀 Rust to 🤖 LLMs and 🎨 Generative AI! 🚀

👉 Join the Pragmatic AI Labs Community now:

1. 🔥 edX 🔥
2. 💬 Discord Community 💬
3. 🌟 Coursera 🌟
4. 🌟 Future Learn 🌟
5. 🌟 Linkedin Learning 🌟

🎉 Start your AI journey today and take your skills to the next level! 🎉

• Simplest unit of work for building applications, microservices, or event-driven protocols
• Basic workflow: Input → Logic → Output

• Simple and easily understandable
• Highly scalable
• Quick response time

• Can be attached to various services:
  • S3 notifications (e.g., file uploads)
  • SQS (Simple Queue Service) messages
• Enables building infinitely scalable services with small response times

1. Rust
2. Go

• Speed
• Safety
• Optimal deployment characteristics
• Millisecond response and invocation times
• Low energy usage

• Focus on maintenance over ease of building
• Optimize for low costs (financial and energy)
• Consider total cost of service over time

When developing Function as a Service applications, prioritize long-term efficiency, maintenance, and cost-effectiveness over initial development ease. Choose languages and practices that support these goals in a serverless environment.

🎓📚 Unlock the power of AI with two Master's degrees worth of courses on edX, covering everything from ☁️ Cloud Computing to 🦀 Rust to 🤖 LLMs and 🎨 Generative AI! 🚀

👉 Join the Pragmatic AI Labs Community now:

1. 🔥 edX 🔥
2. 💬 Discord Community 💬
3. 🌟 Coursera 🌟
4. 🌟 Future Learn 🌟
5. 🌟 Linkedin Learning 🌟

🎉 Start your AI journey today and take your skills to the next level! 🎉

Build a cup vs wash a cup blog post

• Analogy: Building a cup (initial development) vs. washing a cup (maintenance)
• Rust represents a well-crafted cup, while Python represents a quickly made, crude cup

1. Optimized for long-term maintenance
2. Compiler catches bugs early:
   • Type errors
   • Syntax errors
   • Concurrency issues
3. Better packaging and deployment
4. Improved energy efficiency
5. Smaller carbon footprint

1. Easier initial development, but potential long-term issues
2. Packaging often an afterthought
3. Slower package performance
4. No compiler to catch certain types of bugs

• Long-term maintenance costs
• Energy efficiency
• Carbon footprint
• Deployment process
• Overall cost (human labor and cloud resources)

When selecting a programming language, consider factors beyond initial ease of use. Languages like Rust may require more upfront effort but can provide significant long-term benefits in terms of maintenance, performance, and reliability.

🎓📚 Unlock the power of AI with two Master's degrees worth of courses on edX, covering everything from ☁️ Cloud Computing to 🦀 Rust to 🤖 LLMs and 🎨 Generative AI! 🚀

👉 Join the Pragmatic AI Labs Community now:

1. 🔥 edX 🔥
2. 💬 Discord Community 💬
3. 🌟 Coursera 🌟
4. 🌟 Future Learn 🌟
5. 🌟 Linkedin Learning 🌟

🎉 Start your AI journey today and take your skills to the next level! 🎉

What is AWS Lambda

Introduction to Serverless

• New paradigm in cloud computing
• Contrasts with pre-cloud, always-running systems

Inefficiency of Traditional Models

• Example: Apache web service running constantly
• Analogy: Lights always on in a house

Characteristics of Serverless Computing

• Stateless
• Event-driven
• Automatically scalable
• "Logic to live" concept

Light Bulb Analogy

• Manual invocation (switch)
• Timer-based activation
• Sensor-triggered (motion, garage door)

Simplicity in Coding

• Functions in various languages (Python, Rust, Go)
• Input-process-output model

Efficiency and Use Cases

• Low latency workloads
• Data engineering
• Modern cloud-native workflows

Example of Serverless Platform

• AWS Lambda mentioned as popular example

• Serverless computing offers more efficient resource utilization than traditional models
• It's event-driven and scales automatically
• Simplifies coding by focusing on function-based logic
• Well-suited for modern cloud applications and data engineering tasks

🎓📚 Unlock the power of AI with two Master's degrees worth of courses on edX, covering everything from ☁️ Cloud Computing to 🦀 Rust to 🤖 LLMs and 🎨 Generative AI! 🚀

👉 Join the Pragmatic AI Labs Community now:

1. 🔥 edX 🔥
2. 💬 Discord Community 💬
3. 🌟 Coursera 🌟
4. 🌟 Future Learn 🌟
5. 🌟 Linkedin Learning 🌟

🎉 Start your AI journey today and take your skills to the next level! 🎉

1. Surveillance Capitalism

   • Definition by Shoshana Zuboff
   • Extracts and monetizes human experience data
   • Concentrates wealth, knowledge, and power
   • Threatens human nature and democracy

2. Externality First Capitalism

   • Proposed solution to create markets for social good
   • Examples:
     • Carbon pricing in services
     • Media platform taxation based on factual content
     • Tax credits for repairable technology
     • Taxation of addictive technology profits
     • Corporate and individual wealth tax
     • Right to repair initiatives

3. Game Theory and AI

   • Tragedy of the Commons applied to GenAI
   • Internet as a public commons
   • Data collection without consent destroys the commons

4. Privacy and Power

   • Importance of privacy in protecting freedom
   • Data collection's impact on society
   • Need for action to reclaim privacy

5. Optimizing for Humans

   • Critiques of current business climate
   • Anti-patterns in current systems:
     • Rapid growth
     • Addiction
     • Income inequality
     • Centralized systems
   • Focus on human welfare over GDP
   • Importance of environmental protection

• Current economic models, especially surveillance capitalism, pose significant threats to human rights and societal well-being.
• Solutions should focus on creating incentives for social good and addressing negative externalities.
• Privacy is crucial for maintaining individual freedom and societal health.
• Economic systems should prioritize human welfare and environmental protection over unchecked growth and profit.

1. Research and support initiatives that promote "Externality First Capitalism"
2. Advocate for stronger privacy protections and data rights
3. Support right to repair movements and sustainable technology practices
4. Engage in discussions about redefining economic success metrics to prioritize human welfare

🎓📚 Unlock the power of AI with two Master's degrees worth of courses on edX, covering everything from ☁️ Cloud Computing to 🦀 Rust to 🤖 LLMs and 🎨 Generative AI! 🚀

👉 Join the Pragmatic AI Labs Community now:

1. 🔥 edX 🔥
2. 💬 Discord Community 💬
3. 🌟 Coursera 🌟
4. 🌟 Future Learn 🌟
5. 🌟 Linkedin Learning 🌟

🎉 Start your AI journey today and take your skills to the next level! 🎉

The French Revolution emerged from a convergence of systemic issues and random events:

• Feudalism's oppressive structure
• Widespread poverty and hunger
• Emerging ideas of democracy
• Influence of Thomas Paine's "Common Sense"
• Inspiration from the American Revolution
• Rise of mass printing and pamphleteers

The French Revolution brought forth the concept of human rights, influencing democracy globally:

• Liberty
• Property ownership
• Personal security
• Natural rights
• Freedom
• Resistance to oppression
• National authority over individual rulers

Note: Major limitations existed for women and slaves

Negative aspects of the revolution included:

• Violent and irrational mob rule
• Misinformation spread through pamphlets
• Innocent victims of violence
• Political purity purges
• Power vacuum leading to Napoleon's rise

Human rights were non-existent under feudalism:

• Limited education
• Forced labor
• Arbitrary justice
• No property rights

Today's digital landscape mirrors feudal exploitation:

• No opt-out options for data scraping
• Dystopian gig economy labor
• Opaque platform policies
• Data serfdom trapping users
• Intellectual handicap through echo chambers and addiction

A business model built on mass surveillance:

• Threat to informed democracy
• Behavior modification through nudges
• Algorithmic governance superseding nations
• Asymmetrical power of corporations
• Vulnerability to data breaches

Prioritizing humans over corporations and technology:

• Data and intellectual property should belong to individuals (opt-in use only)
• Rejection of exploitative business models
• Right to a digital commons
• Right to live free from addiction and algorithmic harm

As we navigate the digital age, it's crucial to learn from history and establish robust digital rights to protect human autonomy and dignity.

🎓📚 Unlock the power of AI with two Master's degrees worth of courses on edX, covering everything from ☁️ Cloud Computing to 🦀 Rust to 🤖 LLMs and 🎨 Generative AI! 🚀

👉 Join the Pragmatic AI Labs Community now:

1. 🔥 edX 🔥
2. 💬 Discord Community 💬
3. 🌟 Coursera 🌟
4. 🌟 Future Learn 🌟
5. 🌟 Linkedin Learning 🌟

🎉 Start your AI journey today and take your skills to the next level! 🎉