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B2B Engineering Insights & Architectural Teardowns

Data provenance without over-deletion in AI pipelines

Accurate data provenance at the record and token level bridges the gap in AI unlearning: how to find the forget set without mass data deletion. The problem arises at the moment of consent withdrawal by the author. Unlearning algorithms (e.g., NPO or RMU) expect a ready forget set, but in real pipelines, it does not … Read more

GDPR Edge Security for IoMT Without Compromises

GDPR edge security in IoMT requires shifting control to the network edge. The SEG approach demonstrates how to combine privacy-by-design and low latency without sacrificing efficiency. Remote monitoring systems for elderly patients (IoMT) face three simultaneous constraints. The data is classified as “sensitive” under GDPR and requires strict protection. Sensor-level devices are limited in energy … Read more

ScyllaDB for Chat Memory in LangChain

ScyllaDB as a backend for LangChain addresses a key issue: preserving dialogue context in RAG systems and scaling without losing state. The problem does not manifest immediately — until the moment the RAG chatbot exceeds a single process. LLMs are inherently stateless: each request begins with an empty context unless the history is manually reproduced. … Read more

Kubernetes sharded watch reduces API load

Server-side sharded list and watch in Kubernetes changes the behavior of controllers. This is an attempt to eliminate the system ceiling when working with high-cardinality resources. When Kubernetes clusters grow to tens of thousands of nodes, controllers hit scalability limits not where one would typically expect. The problem arises at the list/watch interaction level with … Read more

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