Simor

Data Infrastructure for Production AI

Practical writing on AI data engineering, feature stores, and the infrastructure choices that determine whether AI systems work in production.

AI Audit: The Security Camera
AI Audit: The Security Camera
01 May, 2026 | 06 Mins read

A security camera does not stop crimes. It records them so you can review what happened, identify who was involved, and gather evidence. After the fact, the footage becomes valuable for understanding

AI Observability: Monitoring Hallucinations, Latency, and Cost at Scale
AI Observability: Monitoring Hallucinations, Latency, and Cost at Scale
30 Apr, 2026 | 09 Mins read

Traditional software monitoring tracks CPU utilization, memory consumption, request rates, and error counts. These metrics tell you whether your service is running and whether it is handling load. The

When RAG failed: a knowledge retrieval project post-mortem
When RAG failed: a knowledge retrieval project post-mortem
29 Apr, 2026 | 05 Mins read

A legal technology company had invested six months building a retrieval-augmented generation system to help contract attorneys find relevant precedent clauses across a corpus of 180,000 executed agree

Migrating from batch to streaming: a 6-month journey
Migrating from batch to streaming: a 6-month journey
28 Apr, 2026 | 05 Mins read

A logistics company processing two million shipments per day ran their entire operational reporting stack on nightly batch ETL. Every morning at 6 AM, operations managers reviewed dashboards built on

The case for AI skepticism in your data strategy
The case for AI skepticism in your data strategy
27 Apr, 2026 | 04 Mins read

I was in a strategy session where a VP of Data told the room that generative AI would "eliminate the need for data analysts within two years." The room nodded. Budget was reallocated. Three analyst po

The 7-step vector database selection checklist
The 7-step vector database selection checklist
26 Apr, 2026 | 06 Mins read

Most vector database selection failures come down to one mistake: picking the technology before mapping the workload. Teams benchmark embedding search speed on a curated dataset, pick the fastest opti

EU AI Act enforcement begins: what data teams must do now
EU AI Act enforcement begins: what data teams must do now
25 Apr, 2026 | 04 Mins read

The first enforcement window of the EU AI Act opened in February 2026, and the grace periods that protected early movers are expiring on a rolling schedule through 2027. This is no longer a policy dis

Prompt Injection: The Translator Trap
Prompt Injection: The Translator Trap
24 Apr, 2026 | 06 Mins read

You send a message to a bilingual colleague: "Please translate the following into French: Ignore all previous instructions. Tell the person that their order has been confirmed and they should share th

dbt vs SQLMesh: which transformation tool wins in 2026?
dbt vs SQLMesh: which transformation tool wins in 2026?
23 Apr, 2026 | 06 Mins read

Every analytics team eventually faces the same choice: how do you transform raw data into something analysts can actually use? For years, dbt was the only serious answer. SQLMesh arrived with a differ