Rust for DevOps
Offered By: Pragmatic AI Labs via edX
Course Description
Overview
Build, Deploy, and Operate Robust Applications
- Apply DevOps workflows using the power and safety of Rust
- Hands-on experience with containerization, observability, CI/CD
- Beginner coding experience required, Linux/Git/Docker basics recommended
- Gain practical skills for software engineering and SRE roles
This intermediate course teaches you to leverage Rust for streamlining full-cycle DevOps processes:
- Build and package applications as Docker containers
- Configure logging and monitoring with ELK, Prometheus for observability
- Automate system tasks - file parsing, cron jobs, script execution
- Set up CI/CD pipelines with GitHub Actions, Jenkins, Makefiles
- Instrument code with error handling, profiling, and benchmarking
- Deploy apps to Kubernetes clusters and serverless environments
- Implement chaos engineering for resilience testing
- Secure systems with Rust's safety guarantees and auditing tools
- Optimize performance with async/await, zero-cost abstractions
Through hands-on projects, you'll gain experience rapidly building, deploying, and operating robust applications using DevOps methodologies powered by Rust.
Syllabus
Module 1: DevOps Fundamentals (7 hours)
\- 20 videos (Total 111 minutes)
\- Meet your Course Instructor: Alfredo Deza (Video, 2 minutes, Preview module)
\- About this course (Video, 1 minute)
\- Introduction (Video, 2 minutes)
\- Core DevOps Principles (Video, 5 minutes)
\- What is automation? (Video, 7 minutes)
\- Foundations of logging and monitoring (Video, 8 minutes)
\- Visibility and accountability (Video, 4 minutes)
\- Real-world examples of applied DevOps (Video, 5 minutes)
\- Introduction (Video, 1 minute)
\- Version control and source code management (Video, 8 minutes)
\- Testing and validation (Video, 7 minutes)
\- Packaging and versioning (Video, 7 minutes)
\- Linting and formatting (Video, 5 minutes)
\- Using Rust vs. Python (Video, 8 minutes)
\- Introduction (Video, 2 minutes)
\- Exploring the concepts of containerization (Video, 8 minutes)
\- Benefits of using containers for DevOps (Video, 5 minutes)
\- What are container registries (Video, 6 minutes)
\- Distroless containers with Rust (Video, 8 minutes)
\- Cloud scaling and elasticity with containers (Video, 5 minutes)
\- 10 readings (Total 100 minutes)
\- Connect with your instructor (Reading, 10 minutes)
\- Course Structure and Discussion Etiquette (Reading, 10 minutes)
\- Getting Started (Reading, 10 minutes)
\- Key terms (Reading, 10 minutes)
\- What is DevOps? (Reading, 10 minutes)
\- Preface of Python for DevOps book (Reading, 10 minutes)
\- Introduction to version control with Git (Reading, 10 minutes)
\- Linting in Rust (Reading, 10 minutes)
\- Key terms (Reading, 10 minutes)
\- Introduction to Docker containers (Reading, 10 minutes)
\- 1 quiz
\- Core DevOps Principles (Quiz, 30 minutes)
\- 1 assignment
\- Check your knowledge (Assignment, 180 minutes)
\- 1 discussion prompt
\- Meet and Greet (optional) (Discussion, 10 minutes)
Module 2: Implementing logging and monitoring strategies (3 hours)
\- 17 videos (Total 94 minutes)
\- 10 readings (Total 100 minutes)
\- 1 quiz
\- Logging and monitoring (Quiz, 30 minutes)
Module 3: Automating System management (5 hours)
\- 18 videos (Total 94 minutes)
\- 6 readings (Total 60 minutes)
\- 1 quiz
\- Automating System Management (Quiz, 30 minutes)
\- 2 ungraded labs (Total 120 minutes)
\- Crawling the filesystem (Lab, 60 minutes)
\- Parsing log files with Rust (Lab, 60 minutes)
Module 4: CI/CD Platforms (2 hours)
\- 15 videos (Total 71 minutes)
\- 6 readings (Total 60 minutes)
\- 1 quiz
\- CI/CD Platforms (Quiz, 30 minutes)
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