AI Availability & Reliability Engineering
Define availability requirements for AI systems. Understand AI-specific failure modes, evaluate vendor SLAs, and implement monitoring strategies for business continuity.
What We Covered
Availability tiers: 99% (3.6 days/year downtime) to 99.99% (53 minutes/year) with business impact analysis
AI-specific failure modes: API outages, model degradation, rate limiting, context loss
Recovery strategies: fallback models, cached responses, graceful degradation, manual procedures
SLA evaluation checklist: uptime guarantees, response times, support levels, disaster recovery
Monitoring framework: proactive performance tracking, reactive alerting, business metrics
Questions? Ask Wanjun
Building alongside the community
Working on implementing the concepts from this episode? Running into challenges or want to share your progress? I'd love to hear from you.
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