Cloud-Based

Also Known As: Cloud Based · Cloud Software · Hosted Software

Cloud-based describes any software that runs on cloud infrastructure rather than on a local server. The term is broad and encompasses every type of cloud-deployed software, from purpose-built cloud-native platforms designed for the cloud from day one, to legacy applications that have been moved from on-premise environments onto hosted infrastructure. In concrete dispatch software and ready-mix dispatch software, cloud-based is the umbrella category that nearly every modern platform claims membership in — but the architecture underneath the cloud-based label determines whether a platform actually delivers on the promise the term implies.

Understanding what "cloud-based" really means is increasingly important for concrete and ready-mix producers evaluating dispatch platforms, because the same label is now applied to architecturally very different products.

What Cloud-Based Really Means

At its simplest, a cloud-based dispatch platform is one where the software runs on remote cloud infrastructure — typically a public cloud provider like Amazon Web Services, Microsoft Azure, Oracle Cloud Infrastructure, or Google Cloud — rather than on hardware physically located at a concrete plant or in the producer's office. Users access the platform over the internet through a web browser or mobile application, and the vendor manages the underlying infrastructure, including servers, storage, networking, and software updates.

The shift to cloud-based dispatch software has delivered real advantages over the on-premise model that dominated the concrete industry for decades. Producers no longer need to maintain plant servers, run database backups, manage VPN access for remote users, or coordinate physical infrastructure upgrades. Software updates can be deployed centrally by the vendor. Multi-plant operations can be coordinated from a single dispatch dashboard accessible anywhere. These are meaningful improvements over the on-premise era.

But the broad cloud-based label conceals important architectural differences between platforms — differences that matter operationally and that affect what the platform can deliver today and what it can support tomorrow.

The Spectrum of Cloud-Based Platforms

Not every cloud-based dispatch platform is architecturally the same. Industry analysts generally distinguish between two broad approaches.

Lift-and-shift platforms are legacy applications, often originally designed to run on plant servers, that have been moved to cloud infrastructure with minimal architectural changes. The application is the same monolithic codebase it was on-premise, simply running on rented hardware instead of plant-owned hardware. These platforms qualify as cloud-based — they technically run in the cloud — but they typically carry forward the same operational characteristics they had on-premise: batch processing patterns, slow upgrade cycles, scheduled maintenance windows, and limited elastic scalability.

Cloud-native platforms are designed for the cloud from inception. Instead of a monolithic application, they are built from independent services that scale individually, communicate through documented APIs, and update continuously without disrupting operations. Cloud-native platforms exhibit characteristics that lift-and-shift platforms structurally cannot: elastic scalability under load, near real-time data processing, continuous deployment, API-first integration, and the ability to support advanced capabilities like AI-driven dispatch optimization.

Both approaches result in software that is technically cloud-based. But the operational differences between them are significant.

Why the Distinction Matters in Concrete Dispatch

For concrete and ready-mix producers evaluating dispatch software, the cloud-based label by itself is no longer sufficient information to make a confident decision. Two platforms can both market themselves as cloud-based while delivering very different operational experiences.

A lift-and-shift cloud-based dispatch system may still require maintenance windows when updates are deployed. It may still rely on batch data processing patterns that introduce lag between truck activity and dispatcher visibility. It may still struggle on peak-pour mornings when transaction volume spikes. It may still depend on brittle point-to-point integrations with batching systems, telematics providers, and back-office tools. The cloud label does not automatically fix any of these legacy patterns — only architectural redesign does. This pattern is sometimes called cloud-washing.

A cloud-native cloud-based dispatch system, by contrast, delivers what most producers actually expect when they hear "cloud": continuous availability, near real-time data, frequent improvements, clean API integrations, and elastic performance under any load.

The distinction also matters for the next wave of dispatch capabilities. AI-driven optimization, advanced ePOD workflows, customer-facing transparency tools, and continuous data analytics all depend on the cloud-native characteristics — not just on running somewhere in the cloud. Producers evaluating a platform today are also evaluating what that platform will be able to support in three to five years.

Questions to Ask Cloud-Based Dispatch Vendors

When a vendor describes their platform as cloud-based, producers can ask several questions to understand what type of cloud-based platform they are evaluating.

Was the product originally designed for the cloud, or was it migrated from on-premise software? How frequently does the vendor release updates — weekly, monthly, or twice a year? Are maintenance windows required for deployments? Is data refreshed in seconds or in minutes? Were the dispatch, ticketing, fleet tracking, and customer portal modules developed as a coordinated platform, or were they acquired separately and integrated? How does the platform handle peak-load conditions? What is the platform's roadmap for AI-driven optimization, and what architectural foundation supports it?

The answers reveal whether the cloud-based label describes a genuinely modern cloud-native platform or a lift-and-shift migration that retained the limitations of its on-premise origins.

Dispatch360: Cloud-Based and Cloud-Native

Dispatch360 is both cloud-based and cloud-native. The platform was designed for the cloud from day one — not migrated from a legacy on-premise codebase. Dispatch360 and its sister platform skEYEwatch run on Oracle Cloud Infrastructure, using Oracle Autonomous JSON Database, and the platform handles 21,000 vehicles processing 15 billion daily data events with data refreshed every five seconds, according to Oracle's published case study.

For concrete and ready-mix producers evaluating dispatch software, the distinction between a cloud-based platform that is genuinely cloud-native and a cloud-based platform that is a lift-and-shift migration is the most important architectural question to resolve before signing a contract.