Rust for Data Source Monitoring and Automation
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Rust for Data Source Monitoring and Automation
This course is part of Rust for Data Engineering Specialization
Instructors: Noah Gift
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What you'll learn
Instrument Rust HTTP services with Prometheus metrics, structured tracing logs, and ELK-stack log shipping for full observability
Build Rust CLIs that crawl filesystems with walkdir and glob, parse logs with regex, and wrap external commands with robust error handling
Ship a graded compliance utility that reads JSON rules, audits the filesystem, and exits with a non-zero status to gate CI/CD pipelines
Skills you'll gain
Details to know
May 2026
3 assignments
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There are 3 modules in this course
Stand up production-grade monitoring for Rust services and automate the operational tasks that keep them running. This intermediate course pairs systems engineering practice with the modern Rust toolchain to instrument, observe, and operate data infrastructure.
Module 1 walks through the full monitoring stack: logging versus metrics, the four golden signals, push and pull collection strategies, the ELK stack on Linux, Prometheus and Grafana for metric collection and visualization, and the `tracing` crate for structured Rust logs. A parallel AI-augmented track introduces Amazon Q Developer for code assistance. Module 2 builds Rust CLIs for system automation: filesystem traversal with walkdir and glob, log parsing with regex and flate2, wrapping external commands with `std::process::Command`, and a graded compliance utility that crawls JSON-defined rules and exits non-zero on violations — drop-in CI/CD ready. Throughout, learners pair the standard tooling with AWS Bedrock prompt management for AI-augmented operations.
Build a production monitoring stack for Rust services. Compare logging versus monitoring, apply the four golden signals, and stand up the ELK stack with Prometheus and Grafana on Linux. Instrument a Rust HTTP API with the tracing crate, expose custom metrics, and use Amazon Q Developer to accelerate observability code.
What's included
20 videos7 readings1 assignment
20 videos•Total 116 minutes
- 2.1.1 Introduction•2 minutes
- 2.1.2 Installing And Verifying On Vscode•3 minutes
- 2.1.2 Logging And Monitoring Intersection•9 minutes
- 2.1.3 Overview Of Monitoring Tools•8 minutes
- 2.1.4 Push And Pull Strategies•6 minutes
- 2.1.5 Granularity And Retention Policies•5 minutes
- 2.2.1 Introduction•2 minutes
- 2.2.2 Developing With Amazon Q Developer•5 minutes
- 2.2.2 Installing The Elk Stack•8 minutes
- 2.2.3 Configuring The Elk Stack•8 minutes
- 2.2.4 Adding A Prometheus Endpoint In Rust•7 minutes
- 2.2.5 Connecting Prometheus And Grafana•11 minutes
- 2.2.6 Exposing Custom Monitoring Endpoint•5 minutes
- 2.2.7 Monitoring And Logging Strategies In Azure•5 minutes
- 2.3.1 Introduction•2 minutes
- 2.3.2 Adding Logging To A Rust Application•9 minutes
- 2.3.3 Documentation Assistance•7 minutes
- 2.3.3 Using Logging In A Rust Application•5 minutes
- 2.3.4 Controlling Verbosity Levels•5 minutes
- 2.3.5 Structured Logging•4 minutes
7 readings•Total 7 minutes
- About This Course•1 minute
- Key Terms: Logging and Monitoring Fundamentals•1 minute
- Reflection: Logging and Monitoring Fundamentals•1 minute
- Key Terms: Standing Up a Real Monitoring Stack•1 minute
- Reflection: Standing Up a Real Monitoring Stack•1 minute
- Key Terms: Production Logging with the tracing Crate•1 minute
- Reflection: Production Logging with the tracing Crate•1 minute
1 assignment•Total 5 minutes
- Ungraded Check: Monitoring and Data Sources•5 minutes
Build Rust CLIs that automate operational tasks: traverse filesystems with walkdir and glob, parse logs with regex and flate2, wrap external commands with std::process::Command, schedule jobs with cron, and ship a graded compliance utility that reads JSON rules and exits non-zero on violations to gate CI/CD pipelines.
What's included
21 videos6 readings1 assignment
21 videos•Total 116 minutes
- 2.1.1 Introduction to System Automation•2 minutes
- 2.1.2 Overview of Automation Tasks You Can Build•6 minutes
- 2.1.2 Setting Up Provisioned Throughput•5 minutes
- 2.1.3 Crawling the Filesystem•7 minutes
- 2.1.4 Building a Rust CLI to Parse Files•8 minutes
- 2.1.5 Parsing Log Files with Rust•10 minutes
- 2.1.6 Using Cron to Automate Tasks•5 minutes
- 2.2.1 Introduction to Running External Programs•2 minutes
- 2.2.2 Overview of Complexities of External Commands•7 minutes
- 2.2.2 Testing Provisioned Throughput•4 minutes
- 2.2.3 Strategies for Parsing Command Output•9 minutes
- 2.2.4 Avoiding Path Issues•4 minutes
- 2.2.5 Error Reporting Techniques•6 minutes
- 2.2.6 File Logging for Error Reporting•5 minutes
- 2.3.1 Introduction to Building a Compliance Utility•2 minutes
- 2.3.2 Evaluate Prompts in Bedrock•6 minutes
- 2.3.2 When to Use Compliance•6 minutes
- 2.3.3 Using JSON with Rust•7 minutes
- 2.3.4 Building a Compliance Program•6 minutes
- 2.3.5 Improving Reporting Logic•3 minutes
- 2.3.6 Program Reporting Strategies•5 minutes
6 readings•Total 6 minutes
- Key Terms: System Automation with Rust•1 minute
- Reflection: System Automation with Rust•1 minute
- Key Terms: Running External Programs from Rust•1 minute
- Reflection: Running External Programs from Rust•1 minute
- Key Terms: Building a Compliance Utility•1 minute
- Reflection: Building a Compliance Utility•1 minute
1 assignment•Total 30 minutes
- Practice Assignment: System Automation•30 minutes
Validate end-to-end mastery of the course material with a graded quiz covering monitoring stack design, structured logging with the tracing crate, deterministic CLI patterns for cron, the compliance utility's exit code contract, and using audit logs for compliance evidence.
What's included
2 readings1 assignment
2 readings•Total 2 minutes
- Before You Go•1 minute
- Next Steps•1 minute
1 assignment•Total 5 minutes
- Course Graded Quiz•5 minutes
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