Crafting Reliable Batches
Best Practices for Robust Batch Programming in the Modern Era
AI Textbook - 100+ pages
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Discover the art and science of crafting resilient batch processes with our comprehensive guide, 'Crafting Reliable Batches: Best Practices for Robust Batch Programming in the Modern Era'. Whether you're a beginner or an expert, this book delves into strategies for breaking long-running programs into reliable and restartable segments, managing error handling, and deciding whether to use a queue system. From foundational concepts to advanced techniques, our 12 chapters provide a roadmap for building better batch applications.
- Understanding the Basics
- Batch Processing in Different Environments
- The Evolution of Batch Systems
2. Designing Batch Jobs for Resilience
- Key Principles for Reliable Design
- Error Detection Strategies
- Implementing Idempotence
3. Segmentation: Breaking Down Complex Tasks
- The Art of Divide and Conquer
- Checkpointing and Partial Progress
- Best Practices for Task Segmentation
4. Error Handling and Recovery Techniques
- Graceful Degradation Strategies
- Automated Recovery Systems
- Case Studies: Error Recovery in Action
5. Queue Systems: To Use or Not to Use
- Understanding Queue-based Architectures
- Pros and Cons of Queue Integration
- Alternatives to Queues
6. Best Practices for Restartability
- Designing for Safe Restarts
- State Management in Restarts
- Testing Strategies for Restart Capabilities
7. Performance Considerations
- Efficiency in Batch Processing
- Balancing Throughput and Reliability
- Performance Tuning Techniques
8. Security in Batch Systems
- Protecting Sensitive Data
- Securing System Interactions
- Vulnerability Management
9. Monitoring and Logging
- The Role of Monitoring in Reliability
- Effective Logging Practices
- Using Metrics to Improve Batch Processes
10. Automation and Orchestration
- Tools for Batch Job Automation
- Orchestrating Complex Workflows
- Integration with CI/CD Pipelines
11. Scaling Batch Operations
- Horizontal vs. Vertical Scaling
- Managing Resources for Large-scale Batches
- Strategies for High Volume Data Processing
12. Looking Ahead: The Future of Batch Programming
- Emerging Trends and Technologies
- The Role of AI in Batch Processing
- Preparing for the Next Generation of Batch Systems
Table of Contents
1. The Foundations of Batch Programming- Understanding the Basics
- Batch Processing in Different Environments
- The Evolution of Batch Systems
2. Designing Batch Jobs for Resilience
- Key Principles for Reliable Design
- Error Detection Strategies
- Implementing Idempotence
3. Segmentation: Breaking Down Complex Tasks
- The Art of Divide and Conquer
- Checkpointing and Partial Progress
- Best Practices for Task Segmentation
4. Error Handling and Recovery Techniques
- Graceful Degradation Strategies
- Automated Recovery Systems
- Case Studies: Error Recovery in Action
5. Queue Systems: To Use or Not to Use
- Understanding Queue-based Architectures
- Pros and Cons of Queue Integration
- Alternatives to Queues
6. Best Practices for Restartability
- Designing for Safe Restarts
- State Management in Restarts
- Testing Strategies for Restart Capabilities
7. Performance Considerations
- Efficiency in Batch Processing
- Balancing Throughput and Reliability
- Performance Tuning Techniques
8. Security in Batch Systems
- Protecting Sensitive Data
- Securing System Interactions
- Vulnerability Management
9. Monitoring and Logging
- The Role of Monitoring in Reliability
- Effective Logging Practices
- Using Metrics to Improve Batch Processes
10. Automation and Orchestration
- Tools for Batch Job Automation
- Orchestrating Complex Workflows
- Integration with CI/CD Pipelines
11. Scaling Batch Operations
- Horizontal vs. Vertical Scaling
- Managing Resources for Large-scale Batches
- Strategies for High Volume Data Processing
12. Looking Ahead: The Future of Batch Programming
- Emerging Trends and Technologies
- The Role of AI in Batch Processing
- Preparing for the Next Generation of Batch Systems