In March 2019, our team shipped a deployment pipeline that took eleven seconds from git push to production. We were proud of it. The system handled four hundred requests per second on a single c5.xlarge instance, and the total infrastructure cost was under two hundred dollars a month. Three years later, that same service ran on Kubernetes across six regions, cost fourteen thousand dollars monthly, and the deployment pipeline took forty-seven minutes.
The abstraction tax
Every layer of abstraction we added solved a real problem at the time. Service mesh for observability. Terraform for reproducibility. A custom CLI because the team grew from four to thirty engineers in eighteen months. Each decision was defensible in isolation. Together, they formed a system nobody fully understood, and even fewer people wanted to maintain.
I spent two weeks last January tracing a latency spike that turned out to be a misconfigured retry policy in our proxy layer. The fix was one line of YAML. Finding it required reading through eight thousand lines of configuration spread across fourteen repositories, each with its own README that was last updated six months prior.