# Analysis
The result of taking a spaghetti codebase and throwing it across the network. Driven by the cargo cult of "Microservices," architects often slice a highly coupled system into smaller pieces without actually establishing bounded contexts or autonomous data ownership.
You haven't decoupled your domains; you've merely decoupled your deployment artifacts. By doing so, you have successfully replaced highly optimized, in-memory local function calls with unreliable network hops, JSON serialization overhead, and eventual inconsistency.
**The Reality:**
To deploy a single, trivial feature, four different teams must orchestrate their releases in a highly specific, coordinated sequence, essentially recreating Waterfall over a CI/CD pipeline. Local development is practically impossible unless developers are issued laptops with 64GB of RAM to run 15 interdependent containers via `docker-compose`.
When a user clicks "Checkout", the system initiates a fragile, synchronous HTTP chain reaction across six different services. If just one sidecar proxy hiccups, the entire transaction collapses, leaving the database in an inconsistent state and generating a distributed stack trace large enough to trigger your logging provider's billing alerts. You traded a simple `NullPointerException` for a `504 Gateway Timeout`.
