Tag: Resilience
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Expert: chaos engineering for resilient ML infrastructure
Chaos engineering has become critical for ensuring resilience in modern machine learning infrastructure. This post dives into advanced techniques, tools, and real-world practices for simulating controlled failures, validating recovery mechanisms, and building self-healing ML pipelines across distributed systems.