- Zing Overview
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- Why Zing?
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- Capital Markets
- Insurance
- Healthcare
- Multichannel Retail
- SaaS
- Risk Management
- Advertising
- Telco/Wireless
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- Low Latency Java
- Zing PE with WebSphere
- Big Data
- Java Scalability & Performance
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Use Cases and Application Type
Zing™ is the best deployment platform for enterprise Java applications and is optimized for Linux:
| Application Type | Example Use Cases and Case Studies |
| Large or variable number of concurrent users | Online insurance quotes - eliminating response time delays that sent potential customers to other sites eCommerce - department store - handling rapid online growth and peak loads |
| High or variable transaction rates | Hospitality industry - seamless online customer experience Saks Fifth Avenue online - rapid eCommerce growth and highly variable workloads |
| Low latency requirements | OptionsCity - achieving ultra-low latency execution Pegasus Solutions - online hotel reservations system with extreme sensitivity to unnecessary latency |
| Large data sets | Quartet FS ActivePivot - high performance data analysis |
| Caching, in-memory data processing | Quartet FS ActivePivot - analyze dramatically more data in-memory at once |
| ESBs, SOA, messaging | European Telco and Wireless Provider - messaging and integration application scalability |
| Multi-tenant SaaS, Platform-as-a-Service (PaaS) | SuccessFactors - hybrid, multitenant SaaS application |
| Virtualized & Cloud deployments | European Telco and Wireless Provider - scalable infrastructure for new Cloud-based services |
Because of its unique design, Zing is the only JVM that can support virtually unlimited size heaps (over 300 GB) and eliminate stop-the-world GC pauses. The Zing JVM provides the most robust, elastic and scalable runtime for all enterprise applications. With Zing, your applications can achieve:
- Improved application execution and data caching through support for very large JVM heaps
- More consistent app response times even under load, via Azul's C4 pauseless Garbage Collector
- Reduced JVM tuning and faster time-to-deployment with an elastic and self-healing JVM whose performance is insensitive to conventional JVM parameters
- 50% reductions in TCO over existing runtime platforms through simpler deployments and better resource utilization
- Better application reliability and availability through a more robust and elastic JVM that can survive conventional or multi-tenancy "out-of-memory" errors
- Higher user density or transaction rates per instance through higher sustained allocation rates of the Zing JVM and C4 collector
- Dramatically faster production-time problem resolution via Zing's zero-overhead runtime diagnostic tools
