Solutions · Transportation & Logistics
You run dozens of internal services (dispatch, telemetry, ticketing, back-office), each built by a different team on a different pattern, and downtime is a safety problem, not a status-page footnote. Patching live systems is slow and risky, and nobody can see the whole portfolio end to end. You put every team on the same golden paths, catch the live cluster drifting before it becomes an incident, and get one view of delivery health across the fleet. Run it on your own stack.
The scale you're managing
Running a large portfolio of internal apps where uptime is safety-critical and visibility is fragmented.
A transit or logistics platform is dozens of internal services (dispatch, telemetry, ticketing, back-office), each built by a different team on a different pattern. Onboarding a new one means re-deriving pipelines, scanning, and deploy from scratch.
Safety-critical uptime means patching live systems carefully, but fragmented pipelines make every change slow and risky. With no early signal when the live cluster drifts, a small misconfiguration becomes an incident.
Leadership cannot see delivery health across the whole fleet. Pipeline state, drift, and incident response live in separate tools, so there is no single place to ask "is the portfolio healthy?"
How you get ahead of it
Each capability below is in the product and verifiable. See the mechanisms on our security page, and the tools you can wire in on integrations.
Every team starts from the same paved road. New services ship pre-wired with pipelines, scan gates, deployment, and observability, so a fleet of apps stops being a fleet of one-offs.
Catch drift before it becomes an incident. A live cluster that wanders from its intended state raises a signal early instead of failing at 2am.
Recovery can roll back, restart, or scale automatically, held behind cooldowns and human approval. Safety-critical systems recover fast without handing the controls to unchecked automation.
Delivery dashboards built from your deployment and incident data give leadership one view of health across the whole portfolio. The numbers come straight from your data, never a figure we made up.
See pipeline state across teams and gate changes on policy. IntegraCI generates the scan steps and enforces policy on the results. Your runners execute them.
Self-hostable to your own infrastructure, on-prem included. Tenants are kept apart at the database itself, so teams and environments stay separate even if application code has a bug.
What adoption looks like
Rather than pre-write outcome metrics, here is how your team actually rolls it out across the fleet, step by step. The results are yours to measure.
Roll out golden paths so new services across dispatch, telemetry, and back-office start from the same wired-up template, pipelines, scan gates, deployment, and observability included.
Drift detection flags a cluster wandering from its intended state, and recovery can roll back, restart, or scale behind cooldowns and human approval. Patching stays safe and recovery stays fast.
Delivery dashboards built from your deployment and incident data give one view of health across every service, so leadership can finally answer "is the portfolio healthy?" from your own data.
Request a demo and see it on your own stack, or talk to us about rolling IntegraCI across a large portfolio of internal apps.