Architecture & Scale
Building for the complexity that comes with growth.
Scale is not only volume. It is what happens to cost, to failure and to the number of teams once the volume arrives.
When growing costs more than growing was worth.
The peak takes everything down, and the peak is predictable
Black Friday and payroll are on the calendar, and they still arrive as a surprise.
Doubling the volume doubled the bill
When cost grows in step with revenue, scaling stops being an advantage.
The database became everyone's bottleneck
Every path goes through the same place, and that place sets the ceiling for the whole system.
One team waits on another to ship
Team scale is scale too, and it jams at the same point the technical one does.
What this discipline decides.
Distributed Systems
Distributing trades one problem for another: the single bottleneck goes, consistency and ordering arrive. Distributing without choosing which trade to make is distributing at random.
Performance
Measuring where time is spent before optimising. Most of the gain usually sits somewhere nobody suspected.
Resilience
Degrading instead of falling over. A resilient system loses function and keeps operating, rather than stopping altogether.
Capacity Planning
Knowing how much the system takes before you need to know, and what each extra step costs.
Observability
Being able to answer a new question about the system's behaviour without shipping a deploy to instrument it.
Growth stops being a risk event.
Peaks absorbed without intervention
The date on the calendar stops requiring someone on call.
Cost that grows slower than volume
The infrastructure curve separates from the transaction curve.
Failure that degrades instead of dropping
One part going down stops meaning the system is down.
Running in production
Handling growth is settled before the growth arrives.
Tell us how much you expect to grow and we will show you what needs to change.