Case Study
Migrating large IoT analytics stack from Azure to GCP for leading logistics software provider
CLIENT
This company is a global leader in intelligent automation solutions to optimize supply chain, warehouse, order fulfillment, and distribution center processes. Its robotics, software, and materials handling technologies streamline operations, reduce costs, and improve inventory accuracy in a wide range of industries, including retail, e-commerce, and manufacturing.
CHALLENGE
Seeking a seamless transition to GCP to resolve scalability issues with Azure infrastructure
The client, a company heavily reliant on IoT analytics, encountered significant challenges while establishing a multi-cloud environment to meet growing data and analytics demands of customers hosted in different public clouds. As performance bottlenecks and scalability issues surfaced, the lack of a unified codebase added complexity, forcing the client to maintain multiple application versions. This time-consuming and error-prone approach hindered efficient, consistent updates across environments.
Seeking enhanced scalability, better performance, and access to advanced analytics and machine learning, the client decided to migrate to Google Cloud Platform (GCP). The transition required a seamless migration with minimal disruptions while ensuring the new GCP platform was fully integrated into the company's CI/CD pipeline to enable efficient and streamlined deployments. Adding complexity to the migration, the existing Azure architecture was tightly integrated with analytics workflows, raising critical concerns about data security, compliance, potential downtime, and the risk of data loss.
TRANSFORMATION
Delivering a scalable, unified, multi-cloud IoT platform and seamless GCP migration for real-time analytics
UST delivered a comprehensive cloud solution to address the client's IoT analytics needs. The platform was designed to manage the complete IoT data lifecycle, from seamless data ingestion to real-time analytics and secure device management across the new GCP environment. Key features included scalable data storage for high-performance data handling, advanced data processing tools for immediate insights, and comprehensive reporting and analytics capabilities to facilitate data-driven decision-making. UST implemented a unique, unified codebase compatible with both Azure and GCP environments, ensuring synchronized updates and simplifying management across multi-cloud platforms.
Additionally, UST embedded a DevSecOps pipeline to automate build, test, and deployment processes. Stringent security checks enhanced platform reliability and security. This solution facilitated a seamless migration to GCP and provided the flexibility the company needed to scale, adapt, and maximize the value of its IoT data to support long-term growth.
IMPACT
Reducing application incubation time, enabling automated deployments, and enhancing scalability
The UST solution delivered these transformative results for the client:
- 100% automated code deployment—The company enhanced consistency, security, and reliability by reducing manual interventions and minimizing human errors.
- 75% reduction in application incubation time—Automated development and deployment processes accelerated time-to-market for new multi-cloud applications.
- 40% reduction in release and maintenance activities—The streamlined, automated maintenance processes translated into significant time and cost savings, allowing development teams to focus on more strategic projects.
The integrated monitoring and logging capabilities gave the client greater operational visibility, enabling proactive system management and quicker issue resolution. Meanwhile, the standardized processes and automated CI/CD pipelines facilitated more frequent and reliable updates, ensuring up-to-date applications with the latest features and security enhancements. Overall, the client improved operational efficiency and the scalability of its multi-cloud applications.
To learn more about UST’s cloud transformation services, click here.
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