Powering Zing: 3 Key Technologies

< Zing: A better runtime for Java Workloads >

• Azul’s flagship JVM focused on better metrics
• Applications range from web-based systems to low-latency systems
• Proven in on-premise servers, in containers, and in the Cloud

< How Azul Systems Zing^® Delivers Consistent Low Latency >

Zing has built-in features that change the way memory allocation and garbage collection are conducted

C4 collector

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• Concurrent collection from young and old generations of objects
• Concurrently compacting to eliminate monolithic pauses
• Pauseless gc even under peak loads
• Reduces jitter
• No fallback to “stop the world” for young or old gen collection

Simplified Tuning

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• Consistently achieve millisecond-level response times without tuning
• Frees up developers
• Enables worst case response times under one millisecond
• Fewer tuning flags – less chance for configuration error

< 적용 서비스 및 대상 정보 >

• Online retail / Advertising networks
• Cloud-based solutions (AWS, Azure, Google)
• Big Data / Risk analytics / Web-scale IT
• Large-scale online and social gaming
• Low-latency trading
• Complex event processing / Real-time messaging
• In-memory data grids (Hazelcast, JBoss Data Grid & GridGain)
• Search -- Elastic, Apache Lucene & Solr
• Java-based infrastructure: Cassandra, Kafka, Zookeeper, Hadoop, Spark, Neo4J and many more

< Supported Operating Systems >

• 64 bit Linux (Intel x86-64)
• Red Hat Enterprise Linux/CentOS 7.0 or later
• Red Hat Enterprise Linux/CentOS 6.0 or later
• Red Hat Enterprise MRG Realtime 6
• SUSE Linux Enterprise Server 12 SP1, 12 SP2, 11 SP4
• Oracle Linux 5.x or 6.x (kernel specific)
• Ubuntu 16.04 LTS/ Ubuntu 14.04 LTS / Ubuntu 12.04 LTS /Debian Stretch and Jessie
• Amazon Linux
• Other Linux distributions supported via
• Dynamic Kernel Module System