Rust-Powered AWS Serverless from edX

Transform your serverless development skills by learning to build AWS Lambda functions with Rust - the modern, safe, and ultra-efficient programming language. This comprehensive course teaches you how to create cloud-native applications that are both powerful and cost-effective.

Key course highlights:

Learn why Rust is the optimal choice for serverless applications, offering up to 80% memory savings over traditional languages
Master Cargo Lambda framework for streamlined development, testing, and deployment workflows
Understand the "build once, wash many times" philosophy of creating maintainable serverless applications
Gain practical experience with cross-compilation and local testing techniques
Explore real-world performance comparisons between Rust and other Lambda runtimes

This course is ideal for:

Cloud developers seeking to optimize Lambda costs and performance
Engineers interested in modern, safe programming practices
Teams looking to build more sustainable and efficient cloud services
Developers wanting to leverage Rust's powerful type system and memory safety

Prerequisites:

Basic programming experience
Familiarity with cloud concepts
Understanding of serverless architecture fundamentals

What's inside

Learning objectives

Build and deploy rust-based lambda functions
Implement memory-efficient serverless architectures
Master cargo lambda testing and deployment workflows
Optimize lambda cold start performance

Create type-safe event-driven applications
Apply rust's memory safety principles
Configure cross-compilation for different architectures
Analyze and reduce serverless computing costs

Build and deploy rust-based lambda functions
Implement memory-efficient serverless architectures
Master cargo lambda testing and deployment workflows
Optimize lambda cold start performance
Create type-safe event-driven applications
Apply rust's memory safety principles
Configure cross-compilation for different architectures
Analyze and reduce serverless computing costs

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Focuses on Rust, which offers significant memory savings compared to other languages, making it ideal for optimizing Lambda costs and performance in cloud environments

Emphasizes modern and safe programming practices, which are essential for engineers looking to build robust and reliable cloud services using Rust's type system and memory safety features

Utilizes Cargo Lambda framework, which streamlines development, testing, and deployment workflows, enabling cloud developers to build and manage serverless applications more efficiently

Promotes the "build once, wash many times" philosophy, which is beneficial for teams aiming to create maintainable serverless applications that are easy to update and scale

Requires familiarity with cloud concepts and serverless architecture fundamentals, which may necessitate additional learning for developers without prior experience in these areas

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Rust-Powered AWS Serverless with these activities:

Review Rust Fundamentals

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Reinforce your understanding of Rust's core concepts like ownership, borrowing, and lifetimes to prepare for building serverless applications.

Browse courses on Rust

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Work through the Rust Book's introductory chapters.
Complete basic Rust exercises on platforms like Exercism or Rustlings.
Write a small command-line application in Rust.

Brush Up on AWS Lambda Concepts

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Revisit the fundamentals of AWS Lambda, including event triggers, execution environments, and deployment strategies, to better understand the serverless context.

Browse courses on AWS Lambda

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Read the AWS Lambda documentation.
Watch introductory videos on AWS Lambda.
Review common Lambda use cases and best practices.

The Rust Programming Language

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Reference the Rust Programming Language book to deepen your understanding of Rust's core concepts and best practices.

View The Rust Programming Language, 2nd Edition on Amazon

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Read relevant chapters based on course topics.
Work through examples and exercises in the book.
Use the book as a reference for specific Rust features.

Four other activities

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Follow Cargo Lambda Tutorials

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Work through tutorials specifically focused on using Cargo Lambda to streamline Rust-based Lambda development, testing, and deployment.

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Find tutorials on the Cargo Lambda website or blog posts.
Set up a basic Cargo Lambda project.
Deploy a simple Lambda function using Cargo Lambda.

Build a Simple API Endpoint with Rust Lambda

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Create a basic API endpoint using Rust and AWS Lambda to solidify your understanding of request handling, response generation, and deployment.

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Define the API endpoint's functionality.
Implement the endpoint logic in Rust.
Deploy the API endpoint using Cargo Lambda.
Test the API endpoint with sample requests.

Programming AWS Lambda with Rust

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Read 'Programming AWS Lambda with Rust' to gain practical insights into building serverless applications with Rust on AWS.

View Rust in Action on Amazon

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Read the book cover to cover.
Try out the examples in the book.
Use the book as a reference for specific AWS Lambda features.

Write a Blog Post on Rust Lambda Performance

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Document your findings on Rust Lambda performance compared to other runtimes, sharing insights and optimization techniques.

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Conduct performance tests on Rust Lambda functions.
Compare Rust Lambda performance with other runtimes.
Write a blog post summarizing your findings and insights.
Share your blog post on relevant online communities.

Career center

Learners who complete Rust-Powered AWS Serverless will develop knowledge and skills that may be useful to these careers:

Cloud Engineer

A Cloud Engineer designs, builds, and maintains cloud infrastructure. This role requires deep understanding of serverless technologies, which is why this course is particularly relevant. The course's focus on optimizing Lambda costs and performance helps a Cloud Engineer design systems that are both robust and cost-effective, while the course's focus on creating type-safe event driven applications helps ensure reliability. A comprehensive understanding of cross-compilation and local testing techniques is also critical for a Cloud Engineer. The course's use of Rust and the Cargo Lambda framework will prepare you to design and deploy efficient infrastructure.

See salaries and explore the career path for Cloud Engineer

Serverless Architect

A Serverless Architect is responsible for designing and implementing serverless solutions. This course directly aligns with the responsibilities of a Serverless Architect since it delves into building serverless applications with Rust on AWS Lambda. A Serverless Architect must know how to create cost-efficient and performant cloud services which this course provides directly. Learning to apply Rust's memory safety principles is also very important in architecture decisions. This course provides the necessary tools and information to master Cargo Lambda and understand the 'build once, wash many times' philosophy.

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Backend Developer

Backend Developers focus on the server-side logic and databases that power applications. This course may be useful as serverless functions are often central to modern backend architecture. The course's focus on the Rust language, as well as instruction on how to implement memory-efficient serverless architectures, helps a Backend Developer create highly performant services. The course directly addresses how to build and deploy serverless functions, which is a skill which can be useful in this role. Learning to analyze and reduce serverless computing costs is also important when building applications.

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DevOps Engineer

DevOps Engineers work to automate and improve the software development lifecycle, and this may include deploying serverless applications. This course can be beneficial because it covers tools and strategies which are used to build serverless functions with Rust on AWS Lambda, and includes cross compilation, and using the Cargo Lambda framework for streamlined testing and deployment. The course covers techniques to optimize Lambda cold start performance and create type-safe event driven applications. The course emphasis on 'build once, wash many times' will be useful in creating scalable processes. A DevOps Engineer who has a knowledge of cost optimization can streamline development.

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Solutions Architect

A Solutions Architect designs and oversees the implementation of technology solutions to address business problems. This course may be helpful because it provides practical experience with building cloud-native applications and using Rust on AWS Lambda. A Solutions Architect must understand serverless architecture, cost optimization strategies and cross compilation techniques, which are all covered in this course. The course highlights the use of Cargo Lambda for streamlined workflows as well which is a necessary skill for a Solutions Architect to understand. Understanding performance comparisons between different Lambda runtimes is useful when deciding which approach is best to implement.

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Software Engineer

Software Engineers develop and maintain software applications. This course may be useful as it teaches how to build serverless functions with Rust on AWS Lambda. The use of Rust's memory safety principles are important for any software engineer, and this course explores that in the context of serverless computing. The course's focus on optimizing Lambda costs and performance is also important when developing robust software. Learning about the Cargo Lambda framework helps a Software Engineer to create streamlined workflows.

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Cloud Consultant

Cloud Consultants advise organizations on how to best leverage cloud technologies. This course may be useful as it provides knowledge of building serverless applications using Rust on AWS Lambda and cost optimization approaches. This information is useful for making recommendations to clients about their cloud architecture. The course's emphasis on memory-efficient serverless architectures, and using Cargo Lambda for streamlined development, should also be familiar to a Cloud Consultant. The course covers performance considerations making it useful for helping clients make optimal technology decisions.

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Systems Engineer

Systems Engineers oversee the design and maintenance of computer systems, including cloud infrastructure. This course may be useful as it provides insight into building efficient serverless systems using Rust on AWS Lambda. The course touches on many skills a Systems Engineer may find useful including cross-compilation, local testing techniques, and implementing memory-efficient serverless architectures. The course's focus on cost optimization may also be beneficial. The course's 'build once, wash many times' philosophy is useful for building scalable systems.

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Technical Lead

A Technical Lead guides a development team and makes technical decisions. This course may be useful because it will provide direct experience with serverless technologies. The course's emphasis on memory-efficient serverless architectures, as well as its focus on Rust and the Cargo Lambda framework, can be useful for a technical lead. Understanding real-world performance comparisons between Rust and other Lambda runtimes is also helpful. This will allow a Technical Lead to better inform decisions about the use of serverless technologies.

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Data Engineer

Data Engineers build and maintain data pipelines and infrastructure. This course may be helpful since serverless functions are often used in data processing workflows. The course’s emphasis on memory-efficient serverless architectures and optimizing Lambda costs and performance are important for a Data Engineer. Developing skills in Rust and the Cargo Lambda framework may also be beneficial to streamline those pipelines. The course's exploration of type-safe event driven applications also helps build robust systems.

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Site Reliability Engineer

Site Reliability Engineers ensure the reliability of software systems. This course may be useful as it provides a way to build and deploy serverless functions, with methods to streamline workflows using the Cargo Lambda framework. The course also touches on how to create type-safe event driven applications, which have a high level of reliability. This course also covers optimizing Lambda cold start performance, which can improve the reliability of a system. The course also provides information about applying Rust's memory safety principles which help ensure the stability of systems.

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Application Developer

Application Developers design, build, and maintain software applications. This course may be useful as it introduces how to develop serverless functions using Rust, a language designed with memory safety in mind. The course provides specific instruction in using the cargo lambda framework for deployment, testing, and development workflows. An Application Developer will appreciate the course's emphasis on performance comparisons between Rust and other Lambda runtimes. The course also provides instruction about how to optimize Lambda costs and performance.

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Cloud Security Engineer

Cloud Security Engineers focus on securing cloud infrastructure and applications, making this course may be helpful. The course focuses on Rust, a language known for memory safety, which is an important consideration for security. The course covers how to implement memory-efficient serverless architectures. Understanding cross-compilation and local testing techniques are useful for maintaining security standards. Improving cold start performance and creating type safe application help promote more resilient applications. These approaches are useful for a Cloud Security Engineer.

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Research Scientist

A Research Scientist conducts research and development and may use serverless technologies as part of their work. This course may be useful because it introduces how to build AWS Lambda functions with Rust and offers a deep dive into how memory savings can be achieved using serverless technologies. A Research Scientist may find the practical experience with cross-compilation and local testing techniques, as well as comparing performance between different runtimes to be very interesting. The course's emphasis on memory efficiency can also be an asset.

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Data Scientist

Data Scientists analyze data to extract insights and build models. This course may be useful as it provides an understanding of serverless computing which is sometimes used in data pipelines, but the link is not particularly strong. It may be a good compliment for other, more central knowledge. This course explores how to analyze and reduce serverless computing costs. The course's focus on cross compilation and local testing may also be useful.

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Rust-Powered AWS Serverless

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