Chapter 2: Data Pipeline Resilience

This directory contains the blog post about building resilient data pipelines that handle failures gracefully and provide real-time monitoring.

📝 Blog Post

• blog-post.md - The main blog post content

🧪 Tested Code Examples

All code examples for this blog post are now tested and validated in the main Tasker repository:

• Complete Working Examples - All step handlers, configurations, and tests

• YAML Configuration - Complete task configuration with parallel processing

• Step Handlers - All Ruby step handler implementations

• RSpec Tests - Complete test suite proving all examples work

🏃‍♂️ Quick Start

# Clone the repository
git clone https://github.com/tasker-systems/tasker.git
cd tasker/spec/blog/post_02_data_pipeline_resilience

# Run the setup
./setup-scripts/setup.sh

# Run the pipeline demo
./demo/pipeline_demo.rb

📊 What's Tested

• ✅ Parallel data extraction from multiple sources

• ✅ Dependent transformations with proper ordering

• ✅ Error handling and recovery for each step

• ✅ Event-driven monitoring and alerting

• ✅ Performance optimization for large datasets

• ✅ Data quality validation and thresholds

🔗 Related Files

• TESTING.md - Testing approach and scenarios

• setup-scripts/ - Setup and demo scripts

• preview.md - Blog post preview

🎯 Key Takeaways

The examples demonstrate:

1. Parallel processing of independent data extraction steps

2. Intelligent dependency management for transformations

3. Event-driven monitoring separate from business logic

4. Dynamic configuration based on data volume and processing mode

5. Quality gates with configurable thresholds

All code is production-ready and thoroughly tested in the Tasker engine.