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Writing about enterprise tech and applied AI

Notes on ERP implementations, integration patterns, data engineering and applied AI, from 22 years of shipping enterprise systems.

Integration Jul 10, 2026
What Is a Message Queue?
What a message queue is: producers, queues and consumers, acknowledgements and dead-letter queues, the benefits, and when to use one.
Integration Jul 10, 2026
What Is iPaaS? Integration Platform as a Service Explained
What iPaaS is, why it rose with cloud and SaaS sprawl, what to look for, iPaaS versus ESB and build-it-yourself, and its honest limits.
Integration Jul 10, 2026
What Is gRPC? High-Performance APIs Explained
What gRPC is: Protocol Buffers, HTTP/2, the four call types and streaming, gRPC versus REST and GraphQL, and where it fits.
Integration Jul 10, 2026
What Is GraphQL? A Practical Introduction
What GraphQL is: schema, types and resolvers, queries and mutations, the single endpoint, GraphQL versus REST, and its honest limits.
Integration Jul 10, 2026
What Is Event Streaming?
What event streaming is: events as a source of truth, streams versus queues versus batch, stream processing, real use cases, and when to use it.
Integration Jul 10, 2026
What Is ETL? Extract, Transform, Load Explained
What ETL means, the extract-transform-load stages, ETL versus ELT, batch versus streaming, change data capture, and common ETL challenges.
Integration Jul 10, 2026
What Is an ESB? Enterprise Service Bus Explained
What an enterprise service bus is, the point-to-point problem it solved, its core capabilities, its weaknesses, and ESB versus iPaaS.
Integration Jul 10, 2026
What Is EDI? Electronic Data Interchange Explained
What EDI is and how it works: transaction sets, X12 and EDIFACT standards, VAN and AS2 transports, its strengths and weaknesses, and EDI in the API era.
Integration Jul 10, 2026
What Is Data Synchronization?
What data synchronization is and why it is hard: one-way versus two-way, sync approaches, conflict resolution, full versus incremental, and best practices.
Integration Jul 10, 2026
What Is Data Replication?
What data replication is and why it matters: availability, read scaling, disaster recovery, replication types, sync versus async, and consistency and lag.

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