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Software Engineering
The Pragmatic Engineer·2d ago·5 min read
Building resilient AI-powered software, and planning for when things go wrong
TL;DR
Sam Newman’s new book, Building Resilient Distributed Systems, addresses the increasing need for robust disaster recovery strategies in AI-driven software development. It emphasizes the importance of planning for outages and implementing effective recovery patterns.
✦ Why It Matters
Evaluate your current disaster recovery plans and incorporate AI considerations to enhance system resilience.
Key Takeaways
- Define RPO and RTO based on business impact and user needs.
- Implement regular testing of backup and restore processes.
- Consider using pilot light failover for reduced costs and improved recovery times.
- Stay informed about infrastructure availability to adjust DR strategies accordingly.
How It Works
Disaster recovery strategies involve defining measurable targets like RPO and RTO to guide recovery efforts. Various patterns, such as backup-and-restore and pilot light failover, provide frameworks for implementing DR based on specific system needs and cost considerations.