Lessons from optimizing 300+ AWS workloads: stop reactive FinOps, design cloud-native architecture, choose cost/performance tradeoffs, and benchmark continuously.
AWS Graviton
Recent Posts
- Real-Time Head-and-Shoulders Pattern Detection for AI Trading Strategies
- Choosing the Right Python Docker Image for Finance Workloads
- AI Amplifying Human Expertise in Hedge Funds – Insights from the “Let’s Talk Evolution” Podcast
- How AI is Transforming Quant Trading – Insights from the Quantopian Book Conversation
- Coding the Markets: AI Innovations and FinTech Career Insights (Webinar Recap)
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