Process large datasets without loading everything into memory using Python generators.
Category: Emerging Technologies
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Vertex AI Masterclass: Building Production ML Pipelines on Google Cloud
Introduction: Vertex AI represents Google Cloud’s unified machine learning platform, bringing together AutoML, custom training, model deployment, and MLOps capabilities under a single, cohesive experience. This comprehensive guide explores Vertex AI’s enterprise capabilities, from managed training pipelines and feature stores to model monitoring and A/B testing. After building production ML systems across multiple cloud platforms,… Continue reading
Tips and Tricks #132: Freeze Collections for Thread-Safe Read Access
Use FrozenDictionary and FrozenSet for immutable, highly-optimized read-only collections.
Tips and Tricks #131: Use ValueTask for Hot Async Paths
Replace Task with ValueTask in frequently-called async methods that often complete synchronously.
Tips and Tricks #130: Leverage ArrayPool for Temporary Buffer Reuse
Rent and return arrays from a shared pool to avoid repeated allocations in buffer-heavy code.
The Serverless Revolution: Why AWS Lambda Changed How We Think About Infrastructure
When AWS Lambda launched in 2014, it fundamentally changed how we think about infrastructure. No servers to provision, no capacity to plan, no patches to apply—just code that runs when triggered. After building distributed systems for over two decades, I’ve witnessed many paradigm shifts, but serverless computing represents one of the most significant changes in… Continue reading