5 articles exploring infrastructure
AWS, Azure, and Google Cloud all court startups with credits. The real comparison isn't compute pricing - it's who pays you more, who locks you in harder, and what happens when the subsidy ends.
AI agents create a second bill: invisible to FinOps, landing on the wrong invoice, and breaking every financial model built for linear AI costs.
Stop over-engineering AI infrastructure. PostgreSQL already has everything you need: pgvector for embeddings, pgai for automation, TimeScaleDB for metrics. Build faster by using what you have.
Most AI planning assumes today's subsidized pricing is permanent. It isn't. Here's what real costs look like, and why companies designing for tomorrow will win.
How to cut cloud spend 30–60% without freezing delivery velocity - using cloud credits, right-sizing, commitments, and platform guardrails that engineering teams actually adopt.