How a Global Logistics Giant Achieved Unified Intelligence Across Disconnected Port Environments

A leading global provider of smart logistics solutions, operating in over 75 countries with a network of 150+ operations, including ports, terminals, and logistics hubs. Moving millions of containers annually through their seamless trade and supply chain solutions.

The Problem Statement

Each port operated on its own system, making it hard to get a clear and connected view of operations. With cloud solutions restricted by regulations, there was a growing need for a secure, scalable way to unify these systems—a centralized observability solution capable of operating across bare-metal servers, VMs, and diverse local infrastructures was the need of the hour.

Challenges

Disjointed port systems created inconsistent monitoring and blind spots

No unified observability stack for metrics, logs, or alerting

Regional data residency and compliance laws prevented cloud adoption

Operational teams lacked real-time insights for issue detection and coordination

Solution: Our Observability Architecture

Distributed Edge Intelligence
(Port-Level)

Deployed on-prem monitoring tailored to each port’s infrastructure and compliance landscape

Lightweight agents collected telemetry such as queue status, customs API errors, machine uptime, and energy metrics

Data processed locally, ensuring compliance with regional laws

Central Command Layer
(Unified Visualization & Coordination)

Real-time dashboards aggregated data from all ports into a global view

Enabled operations teams to detect disruptions, analyze trends, and proactively respond to anomalies

Dashboards visualized logistics-specific KPIs such as port turnaround time, queue congestion, and energy consumption

Key Features

Security-First Design: Role-based access control (RBAC) , encryption, and federated identity

Open-Source Stack: Prometheus, Grafana, OpenTelemetry, FluentBit—ensuring no vendor lock-in

Automation-Centric Deployment: Terraform, Helm, GitOps pipelines enabled rapid, repeatable rollouts

KPI-Driven Dashboards: Metrics tied directly to logistics performance and operational efficiency

Outcomes

Global Operational Visibility

Achieved 100% real-time, centralized view across all port operations.

Port Onboarding Time

Reduced onboarding from 2-3 weeks to just 48 hours.

SaaS Cost Overhead

Saved over $500K globally, reducing regional SaaS expenses.

Resilience at Scale

Local outages no longer impact broader operational continuity.

Rapid Port Integration

New ports integrated into the system within 48 hours.

Sustainability Tracking

Enabled carbon footprint analysis via energy consumption dashboards.

Proactive Intelligence

Reduced service disruption risk with anomaly detection capabilities.

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