![]() ![]() You can find a full list of these by running the help command noted above. These represent the object of the logging information. Some examples of the available tag names are class, compilation, gc, metadata, and stats. OpenJDK users will find a formal syntax in JEP-158 and a help message using -Xlog:help, but we’ll provide the basic concepts here.Īs of OpenJDK 17, developers can access hundreds of log tags that they can use to identify logging data output. UL configuration is a mini language unto itself. Unified Logging (UL) is a dynamic, tag-based logging framework for the HotSpot JVM. To understand how this works, let’s dive into details. You can access these features using any OpenJDK distro, including Amazon’s Corretto 17. ![]() Some AWS services use this pattern to reduce default operational loads. For example, a developer can map an alarm trigger to code that will ask the JVM to increase logging context and verbosity when the monitored JVM crosses a given threshold. OpenJDK users can reduce their logging overhead and save disk space with a default, terse configuration, but can dynamically increase logging output when required. UL is flexible in that you can change its configuration at runtime. Logs also provide abundant details about Garbage Collection (GC) activities, helping developers to pinpoint the cause of long pauses and tune GC performance based on them. Many AWS services detect anomalies and subsequently take action based upon logging output from running JVMs. UL is a logging framework for the Java Virtual Machine (JVM) introduced in OpenJDK 9. Subsequent to our changes, the service improved their outlier p99.99 GC pause latency from 3s to 1s. In this post, we’re going to explain how you can use the -Xlog:async switch and the Unified Logging (UL) framework to avoid extended GC pauses due to I/O. ![]() As a result, we decided to implement and contribute async-logging( JDK-8229517)) to OpenJDK 17. While working with an AWS service team to diagnose unexpected Garbage Collection (GC) pauses, the Amazon Corretto team discovered that applications were being throttled by I/O blocking while writing logs to disk. ![]()
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