Ai
235 posts filed under Ai.
Platform Scaling Without Hiring
Five times the data. Same number of people. No new hires. The only way through? Rethink the architecture.
Read →Data Observability Practical Start
Data observability sounds expensive and complex. Here's how to start in one afternoon.
Read →Incremental Processing Pattern
Your nightly job reprocesses 10TB. Only 50GB changed. You're burning money and adding risk.
Read →Waiting for LLMs vs Waiting for Compilation
We spent a decade optimizing compilation times. Now we're staring at an LLM spinner doing the exact same thing.
Read →Cost of Tribal Knowledge
Nobody sets out to hoard knowledge.
Read →Technical Debt Cost Calculation
Slow pipelines are a symptom. The disease is poor architectural decisions nobody revisited.
Read →The Second-System Effect in Data Platforms
Your second data platform will be overengineered. Fred Brooks predicted this in 1975.
Read →AI Worry Gap - Engineers vs Executives
Executives see AI as opportunity. Engineers see it as threat. Neither is talking to the other about it.
Read →The Alex Problem - Hero Dependency
Alex knows everything about your data platform. When Alex leaves, you're in trouble.
Read →T-Shaped Monitoring Model
Monitoring all your data equally is why you're drowning in alerts. Here's the smarter approach.
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