FAPI 2.0 Security Profile: OAuth 2.0 Hardening for Open Banking with PAR, DPoP and mTLS
FAPI 2.0 explained: the OpenID Foundation security profile for open banking, PAR, PKCE, DPoP and mTLS sender-constrained tokens, JAR/JARM, attack models.
Feature Flag Architecture: OpenFeature, Targeting Rules and Progressive Delivery at Scale
Feature flag architecture explained: OpenFeature, flag evaluation models, targeting and bucketing, kill switches, flag debt and progressive delivery, with.
Event Sourcing and Bitemporal Data for Financial Audit Trails
Event sourcing and bitemporal modeling for financial systems explained: immutable event logs, CQRS projections, valid time vs transaction time.
PgBouncer vs PgCat vs RDS Proxy: PostgreSQL Connection Pooling Internals and Pitfalls
PgBouncer vs PgCat vs RDS Proxy compared: Postgres connection cost, session vs transaction pooling, prepared statements, pinning, sizing formulas and a.
Usage-Based Billing Architecture: Metering, Rating, Invoicing and Idempotent Events
Usage-based billing architecture explained: event metering, idempotent ingestion, rating engines, aggregation windows, invoicing and reconciliation, with.
Software Carbon Intensity (SCI): Measuring and Reducing the Carbon Footprint of Software
Software Carbon Intensity (SCI) explained: the ISO-standard formula, energy, grid intensity, embodied carbon, measurement tooling and carbon-aware.
RisingWave vs Materialize vs Flink SQL: Streaming SQL and Materialized Views for IoT Telemetry
RisingWave vs Materialize vs Flink SQL compared for IoT telemetry: incremental materialized views, state storage, consistency, windowing, operations cost.
VEX, CSAF and OpenVEX: Turning SBOM Noise into Exploitability Decisions
VEX explained: how CycloneDX VEX, OpenVEX and CSAF turn SBOM vulnerability noise into exploitability statements, with status justifications, tooling and a.
Kelly Criterion Position Sizing: Math, Fractional Kelly and a Risk-Engine Implementation
Kelly criterion position sizing explained: the derivation, fractional Kelly, estimation error, drawdown behaviour and how a risk engine implements sizing.
Triple-Barrier Labeling and Meta-Labeling: A Financial ML Pipeline in Python
Triple-barrier labeling and meta-labeling explained: how to label financial time series, avoid leakage with purged cross-validation, and build a two-stage.