Tag
The question that actually decides your message queue is not how many messages per second you need. It is whether a message should still exist after somebody reads it. Answer that and two of the three options disappear.
Serverless is a billing model wearing an architecture costume. Once you do the arithmetic on published AWS prices, a Lambda function crosses over and becomes the expensive option at around 7.5 million requests a month. The number that decides it isn't your scale. It's your duty cycle.
Not hard, not expensive, not a premium tier. Impossible, in the proven sense, and it follows from the Two Generals problem. Every product advertising exactly-once is selling at-least-once with deduplication bolted on, which means the work was always going to land on your consumer.
The famous framing is wrong twice over. Partition tolerance was never something you choose, and the trade-off only exists while a partition is happening. Which means CAP is silent about the decision you actually make every day, and PACELC is the version that names it.
Four shapes get thrown around for multi-agent systems: pipeline, supervisor, swarm, and full autonomy. Three of them you probably don't need. Anthropic's own data says most of the win comes from spending more tokens, not from clever coordination, so pick the simplest shape that ships.
The monorepo vs polyrepo debate gets treated like a religious war. It isn't. It's a tradeoff about where you want your pain. Here's how to pick without cargo-culting Google.
Microservices solve an org-scale problem, not a code problem. Here is how to actually decide between a monolith and microservices, and why most startups should start with the monolith.
Most REST vs GraphQL vs gRPC posts list features in a table and stop. The real decision isn't about features. It's about who consumes your API and what hurts at scale.
Most teams pick Postgres by default and that is usually right. Here is how to know when it stops being right, and what the alternatives actually cost you.
Most modernization efforts stall not because the technology is wrong but because the prioritization and org alignment are. Here's the framework that actually gets legacy systems replaced without halting delivery.
