Azul Intelligence Cloud The Powerful Analytics Solution That Boosts DevOps Efficiency with Insights from Production Java Runtime Data from Any JVM  

August 28, 2013

Viking Line Chooses Azul Systems® Zing to Optimize Customer Experience

Viking Line, the leading passenger traffic company for the Baltic Sea region, has chosen Azul’s Zing™ for its customer reservation portal. Following a two week pilot of Zing, Viking Line saw immediate business benefit which resulted in a quick decision to replace its existing JVM (Java Virtual Machine) with the market-leading Azul solution.

Viking Line’s main business rationale for deploying Zing was to enhance the customer experience on its Java-based reservation portal – site wait times and downtime were deemed unacceptable during peak selling periods. Prior to the engagement with Azul, Viking Line was experiencing Java scalability issues and inconsistent response times during peak loads. Using Zing, the system is now much more stable, allowing Viking Line to support hundreds of customers, running hundreds of transactions, simultaneously and with consistent response times.

Since Zing’s installation, Viking Line has also been able to redirect previously “unproductive” developer time that was spent tuning, monitoring and testing the previously used JVM. In addition, as Zing is able to manage large amounts of data while also maintaining high allocation rates, Viking Line will be able to deliver additional value and productivity from its existing infrastructure, delaying the need for any new server/infrastructure upgrades as the business is able to work their current IT assets to the maximum.

For Java-based customer-facing applications, Zing is the only JVM able to provide consistent response times even under unpredictable loads without performance penalty. Optimized for low latency and high throughput, Zing takes Java performance to the next level by eliminating pauses and latency spikes. Zing also includes a zero-overhead management and monitoring tool designed for production-time diagnostics and performance analytics.

Jan Helin, systems manager at Viking Line, said: “”We placed a major focus on evaluating and upgrading our customer reservation portal earlier this year and implementing Zing was an important step in enhancing its performance. Azul’s approach to application scalability is unmatched and we have seen a tremendous improvement in application response time consistency since Zing went live.”

Scott Sellers, president and CEO of Azul Systems, said: “Zing provides significant performance and consistency benefits for the online retail sector. It lowers total cost of ownership while simultaneously improving the customer experience. In many cases, hundreds to thousands of developer hours are lost fine tuning underperforming JVMs. By using Zing, our customers and partners are able to eliminate this costly tuning time, and instead focus on the most important tasks of improving their capabilities and growing their business.”

About Azul Systems
Azul Systems delivers high-performance and elastic Java solutions with unsurpassed scalability, manageability and production-time visibility. Designed and optimized for x86 servers and enterprise-class workloads, Azul’s Zing is the only Java runtime that supports highly consistent and pauseless execution for throughput-intensive and QoS-sensitive Java applications. Azul’s enhanced Java technologies also enable organizations to simplify their IT operations by deploying fewer application instances while achieving lower average latencies, greater response time consistency and dramatically improved operating costs. For further information, visit:

About Viking Line
Viking Line is a public limited company and a market-leading brand in passenger traffic on the northern Baltic Sea. It offers passenger services, recreation and cargo carrier services on the vessels Gabriella, Mariella, Amorella, Rosella, Viking Cinderella, Viking XPRS and on the new flagship Viking Grace. During 2012 Viking Line transported 6.3 million passengers, 613,000 cars and 117,000 cargo units. For further information, visit: