Reasons to move to Java 11 and beyond
The question is not if you should move to Java 11 or a later version, but when. Within the next few years, Java 8 will no longer be supported, and users will have to move to Java 11 or later. We argue that there are benefits to moving to Java 11 and encourage teams to do so as soon as possible.
Since Java 8, new features have been added and enhancements have been made. There are noticeable additions and modifications to API, and there are enhancements that improve startup, performance, and memory usage.
Transitioning to Java 11
Transitioning to Java 11 can be done in a stepwise fashion. It is not required for code to use Java modules to run on Java 11. Java 11 can be used to run code developed and built with JDK 8. But there are some potential issues, primarily concerning deprecated API, class loaders, and reflection.
The Microsoft Java Engineering Group has a guide to transition from Java 8 to Java 11. The Java Platform, Standard Edition Oracle JDK 9 Migration Guide and The State of the Module System: Compatibility and Migration are other useful guides.
High-level changes between Java 8 and 11
This section does not enumerate all the changes made in Java versions 9 , 10 , and 11 . Changes that have an impact on performance, diagnostics, and productivity are highlighted.
Modules address issues of configuration and encapsulation that are difficult to manage in large-scale applications running on the classpath. A module is a self-describing collection of Java classes and interfaces, and related resources.
Modules make it possible to customize runtime configurations that contain only the components required by an application. This customization creates a smaller footprint and allows an application to be statically linked, using jlink, into a custom runtime for deployment. This smaller footprint can be particularly useful in a microservices architecture.
Internally, the JVM is able to take advantage of modules in a way that makes class-loading more efficient. The result is a runtime that is smaller, lighter, and faster to start. Optimization techniques used by the JVM to improve application performance can be more effective because modules encode which components a class requires.
For programmers, modules help enforce strong encapsulation by requiring explicit declaration of which packages a module exports and which components it requires, and by restricting reflective access. This level of encapsulation makes an application more secure and easier to maintain.
An application can continue to use the classpath and does not have to transition to modules as a requisite for running on Java 11.
Profiling and diagnostics
Java Flight Recorder 
Java Flight Recorder (JFR) gathers diagnostic and profiling data from a running Java application. JFR has little impact on a running Java application. The collected data can then be analyzed with Java Mission Control (JMC) and other tools. Whereas JFR and JMC were commercial features in Java 8, both are open source in Java 11.
Java Mission Control 
Java Mission Control (JMC) provides a graphical display of data collected by the Java Flight Recorder (JFR) and is open source in Java 11. In addition to general information about the running application, JMC allows the user to drill down into the data. JFR and JMC can be used to diagnose runtime issues such as memory leaks, GC overhead, hot methods, thread bottlenecks, and blocking I/O.
Unified logging 
Java 11 has a common logging system for all components of the JVM. This unified logging system allows the user to define what components to log, and to what level. This fine-grained logging is useful for performing root-cause analysis on JVM crashes and for diagnosing performance issues in a production environment.
Low-overhead heap profiling 
New API has been added to the Java Virtual Machine Tool Interface (JVMTI) for sampling Java heap allocations. The sampling has low-overhead and can be enabled continuously. While heap allocation can be monitored with Java Flight Recorder (JFR), the sampling method in JFR only works on allocations. The JFR implementation may also miss allocations. In contrast, heap sampling in Java 11 can provide information about both live and dead objects.
Application Performance Monitoring (APM) vendors are starting to utilize this new feature and the Java Engineering Group is investigating its potential use with Azure performance monitoring tools.
Getting a snapshot of the stack for the current thread is often used when logging. The problem is how much of the stack trace to log, and whether to log the stack trace at all. For example, one may want to see the stack trace only for a certain exception from a method. The StackWalker class (added in Java 9) gives a snapshot of the stack and provides methods that give the programmer fine-grained control over how to consume the stack trace.
Garbage collection 
The following garbage collectors are available in Java 11: Serial, Parallel, Garbage-First, and Epsilon. The default garbage collector in Java 11 is the Garbage First Garbage Collector (G1GC).
Three other collectors are mentioned here for completeness. The Z Garbage Collector (ZGC) is a concurrent, low-latency collector that attempts to keep pause times under 10ms. ZGC is available as an experimental feature in Java 11. The Shenandoah collector is a low-pause collector that reduces GC pause times by performing more garbage collection concurrently with the running Java program. Shenandoah is an experimental feature in Java 12, but there are backports to Java 11. The Concurrent Mark and Sweep collector (CMS) is available but has been deprecated since Java 9.
The JVM sets GC defaults for the average use-case. Often, these defaults, and other GC settings, need to be tuned for optimum throughput or latency, according to the application's requirements. Properly tuning the GC requires deep knowledge of the GC, expertise that the Microsoft Java Engineering Group provides.
The default garbage collector in Java 11 is the G1 garbage collector (G1GC). The aim of G1GC is to strike a balance between latency and throughput. The G1 garbage collector attempts to achieve high throughput by meeting pause time goals with high probability. G1GC is designed to avoid full collections, but when the concurrent collections can't reclaim memory fast enough a fallback full GC will occur. The full GC uses the same number of parallel worker threads as the young and mixed collections.
The parallel collector is the default collector in Java 8. Parallel GC is a throughput collector that uses multiple threads to speed up garbage collection.
The Epsilon garbage collector handles allocations but does not reclaim any memory. When the heap is exhausted, the JVM will shut down. Epsilon is useful for short-lived services and for applications that are known to be garbage-free.
Improvements for docker containers 
Prior to Java 10, memory and CPU constraints set on a container were not recognized by the JVM. In Java 8, for example, the JVM will default the maximum heap size to ¼ of the physical memory of the underlying host. Starting with Java 10, the JVM uses constraints set by container control groups (cgroups) to set memory and CPU limits (see note below). For example, the default maximum heap size is ¼ of the container's memory limit (e.g., 500MB for -m2G).
JVM Options were also added to give Docker container users fine-grained control over the amount of system memory that will be used for the Java heap.
This support is enabled by default and is only available on Linux-based platforms.
Most of the cgroup enablement work was backported to Java 8 as of jdk8u191. Further improvements may not necessarily be backported to 8.
Multi-release jar files 
It is possible in Java 11 to create a jar file that contains multiple, Java-release-specific versions of class files. Multi-release jar files make it possible for library developers to support multiple versions of Java without having to ship multiple versions of jar files. For the consumer of these libraries, multi-release jar files solves the issue of having to match specific jar files to specific runtime targets.
Miscellaneous performance improvements
The following changes to the JVM have a direct impact on performance.
JEP 197: Segmented Code Cache  - Divides the code cache into distinct segments. This segmentation provides better control of the JVM memory footprint, shortens scanning time of compiled methods, significantly decreases the fragmentation of code cache, and improves performance.
JEP 254: Compact Strings  - Changes the internal representation of a String from a two bytes per char to one or two bytes per char, depending on the char encoding. Since most Strings contain ISO-8859-1/Latin-1 characters, this change effectively halves the amount of space required to store a String.
JEP 310: Application Class-Data Sharing  - Class-Data Sharing decreases startup time by allowing archived classes to be memory-mapped at runtime. Application Class-Data Sharing extends class-data sharing by allowing application classes to be placed in the CDS archive. When multiple JVMs share the same archive file, memory is saved, and the overall system response time improves.
JEP 312: Thread-Local Handshakes  - Makes it possible to execute a callback on threads without performing a global VM safepoint, which helps the VM achieve lower latency by reducing the number of global safepoints.
Lazy Allocation of Compiler Threads  - In tiered compilation mode, the VM starts a large number of compiler threads. This mode is the default on systems with many CPUs. These threads are created regardless of the available memory or the number of compilation requests. Threads consume memory even when they are idle (which is almost all the time), which leads to an inefficient use of resources. To address this issue, the implementation has been changed to start only one compiler thread of each type during startup. Starting additional threads, and shutting down unused threads, is handled dynamically.
The following changes to the core libraries have an impact on performance of new or modified code.
JEP 193: Variable Handles  - Defines a standard means to invoke the equivalents of various java.util.concurrent.atomic and sun.misc.Unsafe operations upon object fields and array elements, a standard set of fence operations for fine-grained control of memory ordering, and a standard reachability-fence operation to ensure that a referenced object remains strongly reachable.
JEP 269: Convenience Factory Methods for Collections  - Defines library APIs to make it convenient to create instances of collections and maps with small numbers of elements. The static factory methods on the collection interfaces that create compact, unmodifiable collection instances. These instances are inherently more efficient. The APIs create collections that are compactly represented and do not have a wrapper class.
JEP 285: Spin-Wait Hints  - Provides API that allows Java to hint to the run-time system that it is in a spin loop. Certain hardware platforms benefit from software indication that a thread is in a busy-wait state.
JEP 321: HTTP Client (Standard) - Provides a new HTTP client API that implements HTTP/2 and WebSocket and can replace the legacy HttpURLConnection API.
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