When you restart your application with an existing profile, the Azul JVM immediately recalls its previous decisions and

In conclusion, it is still possible to achieve high performance and low latency while enjoying the simplicity and business-oriented nature of Java. While C is used for specific low-level components such as drivers, databases, compilers, and operating systems, most real-life applications can be written in Java, even the most demanding ones.

Over the years, many GC algorithms have attempted to compromise throughput (how much CPU is spent on the actual application logic rather than on garbage collection) versus GC pauses (how long can I afford to pause my application for?).

Since Java 9, the G1 collector has been the default GC, the main idea being to slice up GC pauses according to user-supplied time targets. It usually offers shorter pause times but at the expense of lesser throughput. In addition, the pause time increases with the size of the heap.

One old (and still used) technique is to use object pools of re-usable objects. A database connection pool, for example, will hold a reference to 10 opened connections ready to use as required.

Second issue, during a garbage collection, the whole application could freeze for anything between a few milliseconds to a few seconds (the delay increases with code complexity and heap size), and to make the matter worse, you have no way of controlling when this happens.

The GC impact is a big topic among Java developers; a full garbage collection is commonly referred to as a “stop-the-world pause” because it freezes the entire application.

Multi-threading often requires locks, which cause synchronisation latencies and pauses (especially if they share resources). A popular design is a ring buffer queue system with many threads writing and reading in a lock-free setup (see the disruptor).

Java offers plenty of settings to tune its garbage collections (and the JVM in general) from the heap size to the collection algorithm, and the number threads allocated to GC. So, it’s quite common to see Java applications configured with a plethora of customised options:

http://molos.bodasturias.com/jph/Video-Graz-99ers-EC-VSV-v-en-gb-fsd30122020-.php

http://main.ruicasa.com/tgq/Video-alba-volan-v-bratislava-v-at-at-1srr-4.php

http://startup.munich.es/mlt/video-tsmokі-mіnsk-v-cholet-basket-v-fr-fr-1rag-1.php

http://molos.bodasturias.com/jph/Video-Graz-99ers-EC-VSV-v-en-gb-tde30122020-.php

http://www.ectp.org/mdt/Video-red-bull-v-dornbirner-v-at-at-1sax-20.php

http://elta.actiup.com/cqn/video-GMAC-Bologna-Pınar-Karsıyaka-v-en-gb-sbj-.php

http://startup.munich.es/mlt/video-tsmokі-mіnsk-v-cholet-basket-v-fr-fr-1boa-11.php

http://elta.actiup.com/cqn/video-GMAC-Bologna-Pınar-Karsıyaka-v-en-gb-frz-.php

http://elta.actiup.com/cqn/Video-GMAC-Bologna-Pınar-Karsıyaka-v-en-gb-nts-.php

http://www.ectp.org/mdt/videos-red-bull-v-dornbirner-v-at-at-1uqf-19.php

http://startup.munich.es/mlt/videos-tsmokі-mіnsk-v-cholet-basket-v-fr-fr-1eyl-2.php

http://elta.actiup.com/cqn/videos-GKS-Tychy-KS-Torun-HSA-v-en-gb-lif30122020-.php

http://elta.actiup.com/cqn/Video-GKS-Tychy-KS-Torun-HSA-v-en-gb-dcn30122020-.php

http://www.ectp.org/mdt/videos-red-bull-v-dornbirner-v-at-at-1rbc-24.php

http://main.ruicasa.com/tgq/video-Fehervar-AV19-Bratislava-v-en-gb-mkz-.php

http://elta.actiup.com/cqn/videos-GKS-Tychy-KS-Torun-HSA-v-en-gb-rbj-.php

http://main.ruicasa.com/tgq/Video-Fehervar-AV19-Bratislava-v-en-gb-ema-.php

http://elta.actiup.com/cqn/videos-BK-Mlada-Boleslav-Dynamo-Pardubice-v-en-gb-dhh30122020-.php

http://elta.actiup.com/cqn/videos-BK-Mlada-Boleslav-Dynamo-Pardubice-v-en-gb-tqo-.php

http://main.ruicasa.com/tgq/videos-Fehervar-AV19-Bratislava-v-en-gb-fqn-.php

lationship with the expectation of someone else carrying the burden of your life for you? Do you think they will do all the heavy lifting while you take a passenger seat? Unfortunately, this is not how life works. No one wants to provide for someone who is capable of providing for themselves — especially when that person expects it with little gratitude. If you want a relationship that lasts, become a pro at meeting your own needs.

This is because Zing uses a unique collector called C4 (Continuously Concurrent Compacting Collector) that allows pauseless garbage collection regardless of the Java heap size (up to 8 Terabytes).

Even more impressive, is that while GC pauses usually correspond to actual application pause times, Zing smart GC usually happens in parallel with minimal or no actual pause.

Furthermore, you can build a profile in a development environment to mimic production behaviour. The optimised profile can then be deployed in production, knowing that all critical paths are compiled and optimised.

While pausing an application for a few milliseconds or even seconds may be acceptable for many Java applications, it is a disaster for low-latency ones, whether in automotive, aerospace, medical, or finance sectors.

In this context, Java programmers can enjoy the best of both worlds, the simplicity of Java (no need to be paranoid about creating new objects) and the underlying performance of Zing, allowing highly predictable latencies across the system.

Out of frustration, some experts have even chosen to overwrite the Java memory management altogether and manage the memory allocation themselves, which, while solving one problem, creates more complexity and risk.