Performance

Performance Optimization and Refactoring

Measured work on systems that have become slow or expensive. Every change is compared with a baseline before the next starts, so each gain remains attributable.

When businesses engage Blobb for this

High-volume API paths have visible latency under normal load
Compute, database, or network cost rises faster than activity
Teams have optimized individual components without changing the whole path
Synchronous heavy work limits throughput and failure recovery

What the work involves

Blobb profiles the system under realistic conditions and identifies the paths carrying the most time, volume, and cost. Work can include caching, data access changes, asynchronous extraction, and load distribution. One change is measured before the next begins. Aggregate improvement can therefore be traced to specific decisions.

What you get

A reproducible performance baseline
Hot-path profiles and a ranked findings list
Implemented and measured changes
Load and failure test results
Remaining headroom and threshold estimates

How it is engaged

A focused performance review can stand alone, follow an architecture audit, or form one lens inside it. Implementation is scoped to a measurable target.