Cloud architecture and operations

Capacity proven by a published load test, and round-the-clock on-call after launch.

"It will handle the load" is a sentence nothing is measured by. We start by measuring what runs today — availability, latency and cost — then publish a load test that states a number you can check.

Migration happens in stages behind a switch, with a way back at every step, and restores are rehearsed rather than assumed: a backup that has never been restored is not a backup. After launch there is round-the-clock on-call, and a written root-cause report within forty-eight hours of every incident.

What you get

Capacity proven by a test

A number from a published load test, not an estimate in a meeting.

Cost you can read

You know what each part costs, so you decide where to save.

Restores that were rehearsed

A backup that has never been restored is not a backup.

24/7 on-call

A written root-cause report within forty-eight hours of every incident.

How we work

  1. 01Measure what runs todayAvailability, latency and cost, before any proposal.
  2. 02Migrate in stagesBehind a switch, with a way back at every step.
  3. 03OperateMonitoring and alerting, and a monthly capacity review.

LIVE

What we watch for you

LIVEdashboard - platform
99.98%
UPTIME
142ms
P95
24/7
ON-CALL
Availability over thirty days

FAQ

Questions about this service

How long does an average project take?

Two weeks of discovery, three to fix the boundaries, then a production release every two weeks — the first in week eight.

Who owns the code?

You do, from day one. Code, infrastructure and documentation live in your accounts, not ours.

What happens after launch?

We take the pager: round-the-clock monitoring and alerting, and a written root-cause report within forty-eight hours of every incident.

Where do the systems run?

Inside your own cloud. We do not hold your data on infrastructure we own, and we do not ask for standing access to it.

CASE STUDIES

Our work in this area

Logistics

Shipment tracking platform

Challenge

Seven separate systems, each with a different definition of the word "delivered". Half of customer service's time went to one question: where is my shipment?

Solution

One definition of a shipment's lifecycle, and an event layer translating the seven systems into it — without replacing any of them.

Results

−64% in "where is my shipment?" calls within three months.

LIVEdashboard / tracking
142ms
P95
99.99%
UPTIME
18.4k
REQ/DAY
Fintech

Payments core migration

Challenge

An eleven-year-old payments core that closed for four hours every night to settle, and that nobody dared change.

Solution

A staged migration behind a switch: every transaction ran through both systems and was compared, until the new one became the record.

Results

Zero minutes of planned downtime, from four hours a night.

LIVEdashboard / payments
2.1M
TXN/MONTH
0
DOWNTIME MIN
11
LEGACY YEARS
Healthcare

Clinic scheduling engine

Challenge

Fourteen clinics and a paper appointment book. A third of appointments were missed, and nobody knew why.

Solution

One scheduling engine that reads each clinic's real capacity, and a reminder sent when the patient answers rather than when it suits us.

Results

−38% in missed appointments within one quarter.

LIVEdashboard / clinics
14
CLINICS
38%
NO-SHOW DROP
6.2k
BOOKINGS/MO

Ready to start?

One free hour, and you leave with a scope, a cost range and a timeline.