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

September 9, 2014

Telecoms Software Provider Linxa Signs OEM Agreement with Azul Systems

Linxa, a provider of interconnect business optimization solutions to telecom carriers and operators, and Azul Systems (Azul), the award-winning leader in Java runtime innovation, today announced an OEM agreement under which Linxa will integrate Zing®, Azul’s high-performance Java runtime, into its telecom voice switch solutions to dramatically improve response time consistency and reduce maximum latencies to under 25 milliseconds.

Linxa has developed a routing distribution algorithm that decreases interconnect costs by up to 20%, while significantly increasing call quality to Tier 1 carriers and operators. Its algorithms calculate key performance indicators, simplify call rating, optimize routing, and process call data in near real time to increase business efficiencies and improve network performance. However, to ensure that their products operate in near real time consistently and meet carriers’ Service Level Agreements (SLAs), Linxa needed to integrate a better Java runtime – a runtime that wouldn’t freeze for 10s of seconds or even minutes. Following extensive Java Virtual Machine (JVM) testing on heaps of up to 256 GBs, Linxa was able to reduce application and garbage collection pauses from 3 minutes to under 25 milliseconds using Azul’s Zing Java runtime.

Asim Alp, Co-Founder at Linxa, said: “We commenced a dialogue with Azul to see if they could help us improve application performance and runtime consistency, as we felt that these issues were only going to escalate as we developed more advanced algorithms and features. We ran Zing in a customer pilot and were very impressed by Zing’s ability to eliminate application pauses and max response time outliers. Moving forward, we have great confidence that Azul’s technology will enable us to innovate and bring new solutions to market.”

In the telecoms industry most service providers have built significant infrastructure based on Java. This includes web customer portals, online stores, integrations between systems and a variety of proprietary applications. These applications, in turn, rely on the capabilities of the underlying JVM. Conventional JVMs are not well suited for the low latency and strict SLAs of the modern telecoms industry. Azul’s Zing eliminates runtime inconsistency and allows Java applications to scale in both memory and CPU resources without inducing JVM-related pauses.

Scott Sellers, CEO and Founder of Azul Systems, said: “Zing provides nearly unlimited scalability for telecoms applications. It is specifically designed for the real time business, and by removing the shortcomings of Java such as inconsistent response times and application jitter, enables providers like Linxa to focus on new revenue models and product development.”

About Azul Systems
Azul Systems, the industry’s only company exclusively focused on Java and the Java Virtual Machine (JVM), builds fully supported, standards-compliant Java runtime solutions that help enable the real time business. Zing is a JVM designed for enterprise Java applications and workloads that require any combination of low latency, high transaction rates, large working memory, and/or consistent response times. Zulu is Azul’s freely available open source JVM based on OpenJDK, and Azul provides high-quality commercial support options with its Zulu Enterprise offering. For additional information, visit:

About Linxa
Linxa is an innovative software company that provides interconnect business optimization solutions to telecom carriers and operators. It enables telecom companies to manage every aspect of their wholesale business through a single interface. Its aim is to help its customers gain a competitive advantage by significantly increasing their quality, efficiency and profitability through the Linxa solution. Linxa focuses on building long lasting relationships with customers spread throughout 3 continents. For additional information, visit: