Collection
Practical guides for building production AI/ML systems. From infrastructure and model deployment to cost optimization and reliability. Real-world patterns from scaling ML platforms at high-growth companies.
AI Accelerated Teams Are Discovering That Speed Alone Is Not Enough
AI Accelerated Teams Are Discovering That Speed Alone Is Not Enough
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What the 2025 AWS & Azure Outages Reveal About Our Digital Dependencies
What the 2025 AWS & Azure outages reveal about our digital dependencies and what engineers need to rethink.
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(And What Engineers Need Instead)
Netflix's Chaos Monkey revolutionized resilience testing for distributed systems, but AI systems break in fundamentally different ways.
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Talk to people (not to robots), or at least read their work
Curated communities, newsletters, podcasts, and reading lists for staying current on AI. Vetted by someone who builds AI infrastructure in production.
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