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Rust for DevOps 

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Rust for DevOps
 at 
Coursera 
Overview

Duration

15 hours

Total fee

Free

Mode of learning

Online

Official Website

Explore Free Course External Link Icon

Credential

Certificate

Rust for DevOps
 at 
Coursera 
Highlights

  • Earn a certificate from Duke University
  • Add to your LinkedIn profile
Details Icon

Rust for DevOps
 at 
Coursera 
Course details

What are the course deliverables?
  • What you'll learn
  • Apply DevOps principles and workflows to build, deploy, and operate applications using technologies like Rust, containers, logging, and monitoring.
  • Instrument applications with logging and monitoring using frameworks like ELK stack and Prometheus to gain observability into systems.
  • Automate system administration tasks like file parsing, command execution, and cron jobs using Rust to improve efficiency.
More about this course
  • Rust For DevOps is an intermediate level course for software engineers, system administrators, and technical professionals looking to apply DevOps principles using Rust. This course is for you if you have beginner level programming experience and are familiar with Linux, Git, and Docker fundamentals. Through video lessons and coding exercises, you will gain practical Rust skills to build, deploy, and monitor applications using DevOps workflows. You will implement containerization, instrument your code for observability, and automate common administration tasks like file parsing and cron jobs. By the end, you will have the Rust and DevOps skills to rapidly develop robust large-scale applications, regardless of your specific technical role.

Rust for DevOps
 at 
Coursera 
Curriculum

DevOps Fundamentals

Meet your Course Instructor: Alfredo Deza

About this course

Introduction

Core DevOps Principles

What is automation?

Foundations of logging and monitoring

Visibility and accountability

Real-world examples of applied DevOps

Introduction

Version control and source code management

Testing and validation

Packaging and versioning

Linting and formatting

Using Rust vs. Python

Introduction

Exploring the concepts of containerization

Benefits of using containers for DevOps

What are container registries

Distroless containers with Rust

Cloud scaling and elasticity with containers

Course Structure and Discussion Etiquette

Getting Started

What is DevOps?

Preface of Python for DevOps book

Introduction to version control with Git

Linting in Rust

Introduction to Docker containers

Core DevOps Principles

Meet and Greet (optional)

Implementing logging and monitoring strategies

Introduction

Logging and monitoring intersection

Overview of monitoring tools

Push and Pull strategies

Granularity and retention policies

Introduction

Installing the ELK stack

Configuring the ELK stack

Adding a Prometheus endpoint in Rust

Connecting Prometheus and Grafana

Exposing a custom monitoring endpoint

Monitoring and logging strategies in Azure

Introduction

Adding logging to a Rust application

Using logging in Rust

Controlling verbosity levels

Structured logging

What is Prometheus?

What is the ELK Stack?

Installing the ELK stack

ELK stack installation repository

External lab: Exposing a custom monitoring endpoint

External Lab: Getting started with the ELK stack and Docker-Compose

External lab: Add logging in a Rust application

External lab: Add structured logging to a Rust application

The Log crate

Instrumenting a Rust project

Logging and monitoring

Automating System management

Introduction

Overview of automation tasks you can build

Crawling the filesystem

Building a Rust CLI to parse files

Parsing log files with Rust

Using Cron to automate recurring tasks

Introduction

Overview of complexities of running external programs

Strategies for parsing system command output

Avoiding issues with the path

Error reporting and handling techniques

File logging for error reporting

Introduction

When to use compliance

Using JSON with Rust

Building a compliance program

Improving reporting logic

Program reporting strategies

Cron reference

Handle errors in Rust

External lab: Report and parse device output

External lab: Using JSON with Rust

External lab: Use exit status codes for reporting

Iterate through data in Rust

Automating System Management

Crawling the filesystem

Parsing log files with Rust

CI/CD Platforms

Introduction

What is CI/CD

Components of a job

Overview of the Jenkins platform

Introduction to GitHub Actions

Introduction

Automating common tasks

Managing interdependent jobs

Building a matrix job

Handling logic in workflows

Introduction

Identifying project needs

Setting up code linting for Pull Requests

Setting up Dockerfile linting for Pull Requests

Packaging and releasing a container application

Learn GitHub Actions

External lab: Update a workflow for Pull Request checks

Using a matrix for your Github Action jobs

External lab: Build a matrix job for tests

Creating starter workflows for your organization

External lab: Build an end-to-end containerization pipeline for a Rust project

CI/CD Platforms

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Rust for DevOps
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