A customer asks: “How much can I safely spend today?” An LLM can understand the question. It can explain the customer’s account. It can summarize recent transactions. It can even reason about what information might be relevant. But there is…
For years, we learned to think about distributed systems in a particular way. A request enters a service. The service calls another service. That service may call a database, a message broker, a payment provider, or another internal system. Somewhere…
For a long time, one region was enough. The application ran there. The database ran there. The message infrastructure ran there. Backups existed. Monitoring was in place. We had redundancy inside the region. From an infrastructure perspective, the system looked…
The application was healthy. CPU was normal. Memory was stable. The database was performing well. Internal services were responding within their expected latency. And yet one part of the system was getting slower. Payment requests. At first, we looked at…
An experience-informed composite of patterns that emerge in complex engineering environments. The strange thing about bad architecture is that it rarely begins with a stupid decision. It usually begins with a reasonable decision. The engineers are experienced. The design looks clean.…
A payment system can be healthy in almost every traditional sense. CPU utilization looks reasonable. The database is responding normally. Kafka is processing messages. Network latency is within limits. There are no obvious application errors. And yet payment latency suddenly…
