Reinforcement learning is powerful, but managing thousands of iterations is a nightmare. Here is a practical architecture for building a lightweight experiment system.
This Android recommendation architecture streams events to the backend and uses on-device ranking to deliver fast, resilient, privacy-aware recommendations.
Building a GenAI chatbot for IT support is easy. Building one that actually solves tickets is hard. Here is a blueprint to boost resolution rates using GenAI.
Microservices solve scalability problems but introduce troubleshooting nightmares. Here is a practical architectural pattern to unify logs, metrics, and traces.
Split control and data planes with versioned snapshots and four contracts — routing, policy, limits, release — for safer rollouts and reliably boring systems.
DPoP binds access tokens to a client's key so even if intercepted, they can't be misused. It's mandatory for EUDI/HAIP 1.0 and supported since Spring Boot 3.5.
Automatically transform legacy code into efficient microservices. This approach balances design with hardware limits, ensuring software runs fast on cars and IoT devices.
This post discusses codifying system constraints as executable code to detect and prevent architectural drift in AI deployments across CI, runtime, and operations.
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