Last year, I deployed our first LLM application to Cloud Run. What should have taken hours took three days. Cold starts killed our latency. Memory limits caused crashes. Timeouts broke long-running requests. After deploying 20+ LLM applications to Cloud Run, I’ve learned what works and what doesn’t. Here’s the complete guide. Figure 1: Cloud Run […]
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Tips and Tricks – Implement Circuit Breaker for Resilient Services
Prevent cascade failures by implementing circuit breaker pattern for external service calls.
Read more →Tips and Tricks – Optimize Re-renders with React.memo and useMemo
Prevent unnecessary component re-renders by memoizing components and computed values.
Read more →Tips and Tricks – Debounce Search Inputs for Better Performance
Prevent excessive API calls by debouncing user input in search fields.
Read more →Tips and Tricks – Parallelize CPU-Bound Work with ProcessPoolExecutor
Bypass the GIL and utilize all CPU cores for compute-intensive tasks.
Read more →.NET AI Performance Optimization: Reducing Latency and Costs
Last year, I inherited a .NET AI application that was struggling. Response times averaged 2.3 seconds, costs were spiraling, and users were complaining. After three months of optimization, we cut latency by 87% and reduced costs by 72%. Here’s what I learned about optimizing .NET AI applications for production. Figure 1: .NET AI Performance Optimization […]
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