From the course: Generative AI and Large Language Models on AWS
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Diagram: Rust Axum Greedy Coin microservice - Amazon Web Services (AWS) Tutorial
From the course: Generative AI and Large Language Models on AWS
Diagram: Rust Axum Greedy Coin microservice
- [Instructor] Here we have a Rust Axum Greedy Coin Microservice. Let's break up each of these components into its segment and talk about it. First we have the microservice it itself. It uses the Tokio framework to get async capabilities. So it's one of the fastest frameworks that's available. So that's one of the pluses of it. And you can see it's pretty intuitive as well. If you go to the route change, it's going to accept the dollars and cents parameter and then it's going to pass it to a change function. Now the other thing to be aware of is that I've divided the logic into a lib.rs directory. That's a pattern that is a nice pattern to really separate things so that you have the controller, which is the microservice, and then you have the business logic in a library here. And you can see it's a pretty simple function. It uses the greedy heuristic here that is able to first take the largest coins and process as many as it can with the largest coins, which are the 25 cent pieces…
Contents
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Course introduction55s
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Cloud service model for AI3m 47s
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Cloud deployment model for AI3m 35s
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Benefits of cloud computing3m 2s
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AWS cloud adoption framework for AI2m 46s
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Development environment for AI4m 18s
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MLOps challenges and opportunities with Python and Rust8m 18s
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Generative AI workflow with Rust5m 50s
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Python for data science in the era of Rust and generative AI6m 7s
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Emerging Rust LLMOps workflows3m 57s
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AWS CodeCatalyst for Rust4m 55s
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SageMaker Code editor3m 43s
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Lightsail for research3m 28s
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Serverless Bedrock diagram2m 28s
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Bedrock knowledge agent with retrieval-augmented generation (RAG)2m 6s
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Demo: AWS Bedrock list with Rust2m 50s
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Diagram: Serverless Rust on AWS2m 21s
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Diagram: Rust Axum Greedy Coin microservice3m 14s
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Demo: Rust Axum Greedy Coin3m 40s
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Demo: Rust Axum Docker4m 42s
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Diagram: Prompt engineering3m 47s
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Summarizing text with Claude5m 28s
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AWS CodeWhisperer for Rust7m 47s
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Installing and configuring CodeWhisperer2m 19s
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Using CodeWhisperer CLI4m 28s
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Building Bash functions5m 38s
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Building a Bash CLI3m 13s
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Key components of AWS Bedrock3m 11s
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Getting started with the Bedrock SDK2m 57s
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Cargo SDK for Rust Bedrock1m 25s
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Bedrock Boto3: Listing models2m 3s
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Rust: Listing Bedrock models1m 57s
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Invoking Claude with Bedrock3m 31s
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