Rust for Data Source Monitoring and Automation

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Rust for Data Source Monitoring and Automation

Instructors: Noah Gift

Included with

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3 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

5 hours to complete

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

5 hours to complete

Flexible schedule

Learn at your own pace

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

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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 videosTotal 116 minutes

2.1.1 Introduction2 minutes
2.1.2 Installing And Verifying On Vscode3 minutes
2.1.2 Logging And Monitoring Intersection9 minutes
2.1.3 Overview Of Monitoring Tools8 minutes
2.1.4 Push And Pull Strategies6 minutes
2.1.5 Granularity And Retention Policies5 minutes
2.2.1 Introduction2 minutes
2.2.2 Developing With Amazon Q Developer5 minutes
2.2.2 Installing The Elk Stack8 minutes
2.2.3 Configuring The Elk Stack8 minutes
2.2.4 Adding A Prometheus Endpoint In Rust7 minutes
2.2.5 Connecting Prometheus And Grafana11 minutes
2.2.6 Exposing Custom Monitoring Endpoint5 minutes
2.2.7 Monitoring And Logging Strategies In Azure5 minutes
2.3.1 Introduction2 minutes
2.3.2 Adding Logging To A Rust Application9 minutes
2.3.3 Documentation Assistance7 minutes
2.3.3 Using Logging In A Rust Application5 minutes
2.3.4 Controlling Verbosity Levels5 minutes
2.3.5 Structured Logging4 minutes

7 readingsTotal 7 minutes

About This Course1 minute
Key Terms: Logging and Monitoring Fundamentals1 minute
Reflection: Logging and Monitoring Fundamentals1 minute
Key Terms: Standing Up a Real Monitoring Stack1 minute
Reflection: Standing Up a Real Monitoring Stack1 minute
Key Terms: Production Logging with the tracing Crate1 minute
Reflection: Production Logging with the tracing Crate1 minute

1 assignmentTotal 5 minutes

Ungraded Check: Monitoring and Data Sources5 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 videosTotal 116 minutes

2.1.1 Introduction to System Automation2 minutes
2.1.2 Overview of Automation Tasks You Can Build6 minutes
2.1.2 Setting Up Provisioned Throughput5 minutes
2.1.3 Crawling the Filesystem7 minutes
2.1.4 Building a Rust CLI to Parse Files8 minutes
2.1.5 Parsing Log Files with Rust10 minutes
2.1.6 Using Cron to Automate Tasks5 minutes
2.2.1 Introduction to Running External Programs2 minutes
2.2.2 Overview of Complexities of External Commands7 minutes
2.2.2 Testing Provisioned Throughput4 minutes
2.2.3 Strategies for Parsing Command Output9 minutes
2.2.4 Avoiding Path Issues4 minutes
2.2.5 Error Reporting Techniques6 minutes
2.2.6 File Logging for Error Reporting5 minutes
2.3.1 Introduction to Building a Compliance Utility2 minutes
2.3.2 Evaluate Prompts in Bedrock6 minutes
2.3.2 When to Use Compliance6 minutes
2.3.3 Using JSON with Rust7 minutes
2.3.4 Building a Compliance Program6 minutes
2.3.5 Improving Reporting Logic3 minutes
2.3.6 Program Reporting Strategies5 minutes

6 readingsTotal 6 minutes

Key Terms: System Automation with Rust1 minute
Reflection: System Automation with Rust1 minute
Key Terms: Running External Programs from Rust1 minute
Reflection: Running External Programs from Rust1 minute
Key Terms: Building a Compliance Utility1 minute
Reflection: Building a Compliance Utility1 minute

1 assignmentTotal 30 minutes

Practice Assignment: System Automation30 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

Instructors

Noah Gift

Pragmatic AI Labs

47 Courses3,308 learners

Offered by

Pragmatic AI Labs

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