Cloud Native 17 min read

Technical Overview of ZingJDK: ReadyNow, Falcon JIT, and C4 GC

ZingJDK, Azul’s high‑performance commercial JDK built on OpenJDK, combines ReadyNow® pre‑warming, the LLVM‑based Falcon JIT compiler, the pause‑free C4 concurrent compacting garbage collector, and a cloud‑native off‑load compiler to deliver dramatically faster startup and execution across JDK 7‑21, though it lacks dynamic Attach support and requires a commercial license.

DeWu Technology
DeWu Technology
DeWu Technology
Technical Overview of ZingJDK: ReadyNow, Falcon JIT, and C4 GC

On December 28, 2023, the QCon Global Software Development Conference opened in Shanghai with the theme “Sailing·AIGC Software Engineering Transformation”. The speaker shared Java‑related content from DeWu, focusing on ZingJDK, a high‑performance commercial JDK from Azul.

ZingJDK is built on the OpenJDK source code, but adds commercial features such as ReadyNow® pre‑warming, the Falcon JIT compiler, the Azul C4 concurrent compacting garbage collector, and a cloud‑native compiler that can offload JIT work to dedicated services.

ReadyNow® Pre‑warming captures runtime profiling information during the first execution of a Java application and reuses it on subsequent runs, dramatically reducing JIT warm‑up time and delivering near‑native performance.

The ReadyNow Orchestrator automates the use of ReadyNow in containerised JVMs, capturing optimal hot‑function configurations and offloading JIT compilation to remote servers.

Falcon JIT Compiler is based on LLVM technology. By leveraging modern CPU instruction sets (e.g., AVX2) and vectorisation, Falcon can optimise Java loops and final‑field accesses more aggressively than the traditional C2 compiler, achieving up to 3.5× speed‑up on cryptographic workloads and 10× on Cassandra benchmarks.

Azul C4 Garbage Collector is a continuously concurrent compacting collector that eliminates stop‑the‑world pauses. It operates in three phases: Marking, Relocation, and Remapping, with tight collaboration between application threads and GC threads. The design avoids re‑marking loops, reduces OOM risk, and recovers memory at page granularity.

The Cloud Native Compiler (Optimizer Hub component) offloads JIT compilation to a specialised service, freeing the client JVM from heavy compilation work and improving startup latency.

Advantages of ZingJDK include superior performance, faster startup via ReadyNow, support for process snapshots (enabling second‑level recovery of 100 GB Java processes), and pause‑free execution thanks to C4. It also supports a wide JDK version range (7‑21).

Drawbacks are the lack of support for dynamic Attach operations and the commercial licensing cost required for enterprise adoption.

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JVMCloud NativePerformance OptimizationGarbage CollectionJITZingJDK
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