A uniquely social betting and gaming experience

IBM helps MozzartBet.com combine digital innovation with a distinctly human touch

Young woman in casual clothes playing video games in her living room
Modernizing infrastructure to keep a competitive edge

MozzartBet.com has built one of South-Eastern Europe’s leading betting businesses by combining compelling online services with a network of more than 1,000 retail betting shops, where customers don’t just place bets; they gather to watch matches, meet friends, and spend time together.

MozzartBet.com’s success has long been driven by technology. But as the business expanded across markets and channels, its VMware-centric architecture began to limit flexibility. The company’s IT leaders recognized that applications were evolving toward microservices and containers, while growing data and AI initiatives demanded a more agile platform.

To maintain its competitive edge, MozzartBet.com needed to modernize its infrastructure without sacrificing the reliability that customers expect. They needed a technology platform capable of delivering near real-time performance at the scale of a business producing approximately 250,000 betting odds across more than 1,600 events each day.

We have consistently relied on IBM storage technologies due to their proven reliability, performance, scalability, and enterprise-grade data protection capabilities.
Cedomir Novakovic CTO MozzartBet.com
From virtualization to a unified platform with IBM Fusion HCI

MozzartBet.com had initially relied on IBM Netezza as their data warehouse solution, then decided to modernize their data platform by adopting Red Hat® OpenShift® and IBM® Fusion HCI as the foundation for near real-time analytics, application modernization, and cloud-native development. Over time, Red Hat OpenShift evolved beyond the analytics domain and became a strategic platform for the deployment of production services and business-critical applications across the organization. The platform now supports an increasingly cloud-native development model for an organization whose technology teams include 120 developers and 30 IT engineers.

Today, IBM Fusion HCI supports:

  • MozzartBet.com’s full data and analytics environment;
  • Production, staging and development clusters;
  • Modern containerized applications;
  • Migration of workloads from VMs to containers.

The combination of Red Hat OpenShift and IBM Fusion HCI provides a consistent platform for innovation while simplifying operations and delivering built-in resilience.

A resilient platform for continuous innovation

IBM Fusion has become a key part of MozzartBet.com’s technology strategy:

  • High availability by design helps maintain service continuity across MozzartBet.com’s online platform and approximately 1,000 retail locations across 7 markets.
  • A consistent platform across development, staging and production helps teams move new applications and capabilities into production faster.
  • A common Red Hat OpenShift and IBM Fusion platform gives MozzartBet.com a practical path to migrate workloads from traditional VMs to containers while continuing to support business-critical applications.

Fusion helps MozzartBet.com continue differentiating through technology that helps create a hybrid customer experience that combines digital convenience with the social atmosphere of its retail network.

Today, MozzartBet.com also uses IBM Cloud® for a number of non-critical workloads and development environments, combining on-premises and cloud resources through a hybrid cloud operating model that optimizes flexibility, scalability, regulatory requirements, and cost optimization.

About MozzartBet.com

Founded in 2001 and headquartered in Belgrade, Serbia, MozzartBet.com is a leading betting and gaming company in South-Eastern Europe. The company operates more than 1,000 retail locations alongside a growing online platform serving customers across multiple international markets.

Solution components IBM® Fusion IBM Cloud® Red Hat® OpenShift®
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Examples presented as illustrative only. Actual results will vary based on client configurations and conditions and, therefore, generally expected results cannot be provided.