BLOG & INSIGHTS
Decisions behind better software: project scope, AI integration, security, cloud operations and the practical details that change delivery costs.
447 articles found
A Neapolitan pizzeria in Pigalle, three ordering channels, and a loyalty card that lives in Apple Wallet and Google Wallet. Here is how the platform is built, and why each choice was made.
KIP-1150 lets Apache Kafka write topics straight to object storage, trading milliseconds of latency for a leaner cost structure. What diskless topics change, what the cost estimates really say, and how to prepare your estate.
Iceberg, Delta Lake and DuckLake take three different approaches to lakehouse metadata. How their designs, engine ecosystems and lock-in profiles compare in 2026, plus a practical rubric for choosing one.
A reference architecture for EU-resident change data capture: Debezium and Kafka on Strimzi, Flink stream processing, and Apache Iceberg on EU object storage, with the operational detail that keeps it correct, compliant, and affordable.
Apache Polaris, Unity Catalog, and Purview are not the same kind of product. An engineer's comparison of the lakehouse governance layer in 2026, with selection criteria, sovereignty analysis, and patterns for combining them safely.
Article 10 turns training-data quality into an evidence problem for high-risk AI. Here is what the EU AI Act actually demands, provenance, bias examination, dataset versioning, and the engineering artifacts that satisfy it without a documentation sprint.
GraphRAG's answer quality is real; so is the indexing invoice. A pipeline design that scopes the corpus, moves extraction to small models, defers summarization to query time, and updates incrementally, graph accuracy without the notorious bill.
A vendor clean room is not automatically GDPR-compliant. This guide covers the architecture options, joint-controller setup, DPIA threat model, and the aggregation, noise, and query controls that make multi-party analytics defensible.
Differential privacy gives hard guarantees and noisy numbers; synthetic data gives realistic rows and only the privacy you engineer. An engineering comparison of guarantees, utility loss, tooling, and the use cases where each fits.
An engineering comparison of AMD SEV-SNP, Intel TDX, and AWS Nitro Enclaves for regulated workloads: attestation mechanics, I/O models, GPU support, performance overhead, and a decision framework for GDPR, DORA, and NIS2 environments.
A hands-on guide to building a cryptographic bill of materials: CycloneDX 1.6 modeling, discovery tools for code and certificates, network-level TLS observation, CI integration, and turning the inventory into a post-quantum migration queue.
From 12 September 2026, connected products placed on the EU market must be built for user data access, and cloud switching duties reshape provider contracts ahead of the January 2027 fee cut-off. An engineering-first walkthrough.
