Rust for Data Source Monitoring and Automation

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Rust for Data Source Monitoring and Automation

位教师：Noah Gift

包含在中

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3个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

5 小时完成

灵活的计划

自行安排学习进度

3个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

5 小时完成

灵活的计划

自行安排学习进度

您将学到什么

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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该课程共有3个模块

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.

涵盖的内容

20个视频7篇阅读材料1个作业

20个视频总计116分钟

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

7篇阅读材料总计7分钟

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

1个作业总计5分钟

Ungraded Check: Monitoring and Data Sources5分钟

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.

涵盖的内容

21个视频6篇阅读材料1个作业

21个视频总计116分钟

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

6篇阅读材料总计6分钟

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

1个作业总计30分钟

Practice Assignment: System Automation30分钟

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.

涵盖的内容

2篇阅读材料1个作业

位教师

Noah Gift

Pragmatic AI Labs

57 门课程3,656 名学生

提供方

Pragmatic AI Labs

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