My ML model misclassified groceries as entertainment. Distributed tracing with OpenTelemetry and Jaeger helped me quickly find a caching bug causing it.
Hyperparameter tuning is critical to optimizing machine learning models, significantly enhancing their performance. This article provides an accessible guide to tuning.
Strands Agents SDK supports multiple AI providers (Anthropic, OpenAI, Amazon Bedrock, etc.) and integrates with thousands of tools via Model Context Protocol (MCP).
Use Crossplane and kube-green to replace wasteful, always-on cloud environments with on-demand, ephemeral ones, dramatically cutting costs and environmental impact.
Explainable AI bridges the gap between complex models and real-world accountability, helping teams build trust, ensure compliance, and make smarter decisions.
Explore how Certificate Authorities (CAs) issue trusted certificates, enforce web security, and how CT logs and browser policies protect digital trust.
Explainable AI (XAI) reveals how ML models make decisions. Learn about SHAP, LIME, model-specific and agnostic methods, and how to deploy SHAP as a REST API.
Learn how data streaming with Kafka and Flink enhances AI/ML model inference, enabling low-latency, scalable predictions in real-time business use cases.
Behavior-Driven Development (BDD) bridges the gap between technical and non-technical stakeholders by using plain-language scenarios to define and test software behavior.
This article provides a blueprint to build a scalable data storage foundation using a three-step framework of 5Q, BSG, and HWC with practical application.