01
Fleet control plane
Declarative inventory, policy, version state, and rollout control across the full estate.
Retail and distributed operations
The edge is where revenue meets reality.
Run Kubernetes across stores, branches, warehouses, and remote sites without pretending every location is a tiny data center with perfect connectivity.
Inspect the fleetThe signal
A remote site should fail locally, recover automatically, and never need a hero with a USB drive.
When to call
The system is already telling you.
01
Store applications drift because deployments depend on site-by-site intervention.
02
Intermittent connectivity turns routine updates into partial fleet outages.
03
Central teams cannot see version, health, capacity, or recovery state across locations.
04
Hardware variation and local dependencies make every site a special case.
What changes
Evidence your team can operate.
02
Failure containment
Offline operation, staged rollout, rollback, and recovery paths designed for remote reality.
03
Operator visibility
Telemetry that answers which sites are broken, why, and what action is safe to automate.
The engagement
Fast enough to matter.
Senior engineers stay on the work from first signal through operational handoff.
- 01
Map the estate
Inventory workloads, hardware, network constraints, dependencies, and operating ownership.
- 02
Prove the control loop
Build a representative path through provisioning, deployment, observability, and recovery.
- 03
Scale by cohort
Roll out by risk group with measurable gates, rollback evidence, and local failure containment.
Start with the failure mode
Show us where delivery gets ugly.
One call. Senior engineers. No discovery theater. We will tell you what we see, what we would attack first, and whether we are the right crew to do it.