Java Advanced II: High Performance Java | | Architecture and Design
Java Advanced II: High Performance Java
Duration
40 hours
Location
Online
Language
English
Code
JVA-076
800.00 *
Training for 7-8 or more people? Customize trainings for your specific needs
Description
During this training we’ll cover various approaches to profiling, finding bottlenecks, tuning a virtual machine, setting JVM flags, serialization and caching libraries. We’ll also look at off-heap data storage, benchmarking, memory monitoring and tuning and a host of other topics.
After completing the course, a certificate
is issued on the Luxoft Training form
is issued on the Luxoft Training form
Objectives
- An introduction to the modern approaches of improving Java applications performance
Target Audience
- Java developers
- Java architects
Roadmap
-
Performance tuning overview
- Common practices
- Tuning strategies
- Performance metrics (latency, throughput, bandwidth)
- How to improve performance
- Tools for performance measurement
- JMeter
- Writing load tests with JMeter
- How to improve performance via architecture
- Common best practices for improving code performance
-
GC algorithms
- Usage of memory by Java objects
- Common approaches and algorithms of garbage collectors
- Serial GC garbage collector
- Parallel GC garbage collector
- CMS garbage collector
- G1 garbage collector
- Shenandoah garbage collector
- Garbage collectors tuning
- Instruments to gather metrics of garbage collection
- How to select the optimal garbage collector
-
HotSpot JIT compiler
- JIT compilation
- Java byte code
- Tiered compilation
- Code cache and tuning
- Code optimizations
- Code deoptimization (and when it happens)
- JITWatch instrument to analyze compiling results
- Types of optimization
- Speculative optimizations
- Compiler tuning
- AOT compilation
-
JVM flags
- Purpose and categories of JVM flags
- Common flags
- String-related flags
- Memory management flags
- Safepoints and related flags
- TLABs and related flags
- JVM tuning plan
-
Java benchmarking with JMH
- What is benchmarking?
- Introduction to JMH
- API of JMH
- Untrivial examples
- JMH practice
-
Using off-heap memory
- What is sun.misc.Unsafe?
- Unsafe methods
- Native memory performance
- Creation of data structures in native memory
- Measurements of performance of native memory (and comparison with memory on heap)
- Foreign Memory Access API
-
Serialization
- JSON serializers (GSON, Jackson)
- Binary serializers (Protobuf, Jackson Smile, Kryo, FST, One NIO)
- Performance comparison of various serializators
-
Java profiling
- When and how to do profiling
- Sampling and instrumenting profilers
- Using Java VisualVM for profiling
- Profiling with Spring AOP
- Profiling with IDEA and async profiler
- Java Flight Recorder
- Analysis of Java Flight Recorder logs using Mission Control
- Create and log custom JFR events
- Using Java agents injected into code (to record events in Java Flight Recorder)
- Writing programs for automatic analysis of JFR logs
- Collecting and analyzing SQL queries using JFR
- Collecting and analyzing REST requests using JFR
-
Monitoring and analysis of heap data / Memory leaks
- Tools for analyzing data in heap memory
- Signs of memory leaks
- Main causes of memory leaks
- Search and detection of memory leaks
-
GraalVM
- GraalVM ecosystem
- GraalVM runtimes
- Polyglot API
- Compilation and Native image
- Benchmarks
-
Java caching
- Caching patterns
- Comparison of caching API
- Caching of database queries
- HTTP caching
- Basic metrics and settings for caching libraries
- Comparison of popular caching libraries
- Service level caching
- Caching Spring Services
- Applications using caches on different layers
-
Overview of other approaches to improve performance
- Parallel programming (thread pools, parallel streams, fork-join framework)
- Asynchronous programming
- Reactive programming (Reactor, VertX)
- Optimization of database access
- Cloud computing (microservices, Spring Cloud)
- Benchmarks and conclusions
Schedule and prices
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