Cloud architecture for 3PLs, brokerages, and motor carriers — Azure, AWS, or hybrid. 24/7 operational resilience for TMS and WMS workloads, elastic scaling for peak season, and the disaster recovery that keeps freight moving when data centers fail.
A retail e-commerce site can tolerate 30 seconds of downtime. A logistics TMS cannot. When the TMS goes down, dispatchers can't tender loads, drivers can't check in, customers can't see status, and within minutes the operation degrades into phone-call chaos. Peak season — Black Friday, holiday shipping, agricultural harvest — amplifies this; the TMS that handles 15,000 loads a day normally has to handle 40,000 during peak with the same reliability expectations. Cold chain operators have even stricter requirements because a sensor outage on a reefer trailer can spoil $50,000 of product. Logistics cloud architecture isn't just about cost savings; it's about operational resilience under conditions that most industries never face.
The cloud patterns that actually work for logistics treat resilience as first-class: multi-region active-passive or active-active for core TMS / WMS workloads, elastic scaling for peak season, event-driven architecture that tolerates individual service failures, and the disaster recovery testing that actually gets exercised (not just documented). Azure or AWS can both deliver this when architected properly. The failure mode is treating logistics cloud like typical enterprise IT — acceptable for email and HR, unacceptable for the systems that move freight.
Migration of TMS and WMS workloads from on-premises to cloud with proper multi-region architecture, peak-season scaling, and the disaster recovery that 24/7 operations actually need. Supported for major TMS (McLeod, MercuryGate, Kuebix, BluJay) and WMS (Manhattan, Blue Yonder, HighJump) platforms.
Architecture that scales elastically through peak season — Black Friday, holiday, harvest — without either over-provisioning for the rest of the year or failing under load when it matters most. Kubernetes, managed services, or hybrid depending on the workload.
Azure or AWS landing zone designed for 3PLs with multiple distribution centers — naming conventions, network topology, identity model, cost allocation per customer or DC, and the governance that scales as new facilities come on line.
Logistics cloud delivered for 24/7 reality: multi-region architecture for TMS and WMS workloads, peak-season scaling patterns, disaster recovery with actual exercised runbooks, identity and network architecture, cost allocation per customer or DC, integration with on-premises systems during migration, and the operational handoff that keeps your on-call team confident.
The full Cloud Architecture practice across industries.
All logistics technology services from Xylity.
Industry-specific consulting across the verticals we serve.
Yes — with a proper cutover strategy. Parallel running, phased DC migration, and rollback plans. We've migrated TMS workloads for carriers and 3PLs without operational disruption. The planning is more work than the actual migration, which is how it should be.
Both work. Azure tends to win when the carrier is on Microsoft for D365, M365, and Power Platform. AWS tends to win when the TMS vendor has a preferred cloud partnership or when Snowflake / Databricks is central to the data platform. We make the call based on your existing investments, not vendor preference.
Yes. Pre-qualified cloud architects and engineers with logistics experience — TMS / WMS migration, 24/7 resilience patterns, peak season scaling, and the disaster recovery discipline that freight operations demand. 92% first-match acceptance.
Multi-region TMS and WMS, peak-season scaling, and DR that actually gets tested — by architects who know what a dispatch outage costs.