Java Advanced II: High Performance Java

Module 1: Performance tuning overview [6h]

• 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 database performance
• How to improve performance via architecture: streams, queues, microservices, clouds
• Common best practices for improving code performance [Homework 3h]

Module 2: GC algorithms [6h]

• 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

Module 3: HotSpot JIT compiler [5h]

• 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
• GraalVM [Homework 2h]

Module 4: JVM flags [3h]

• 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

Module 5: Java benchmarking with JMH [2h]

• What is benchmarking?
• Introduction to JMH
• API of JMH
• Untrivial examples
• JMH practice [Homework 2h]

Module 6: Using off-heap memory and efficient data structures [4h]

• JSON serializers (GSON, Jackson)
• Binary serializers (Protobuf, Jackson Smile, Kryo, FST, One NIO)
• Performance comparison of various serializators
• Networking performance when connecting using various protocols: HTTP/REST, TCP, Async TCP, RSocket, Netty server/client

• 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
• Application Performance Management tools
• Using Glowroot for SQL queries and REST requests profiling and analysis [Homework 2h]

Module 9: Monitoring and analysis of heap data / Memory leaks [3 hours]

• Tools for analyzing heap memory
• Signs of memory leaks
• Main causes of memory leaks
• Search and detection of memory leaks
• Weak and phantom references
• IDEA tools to analyze heap dumps
• Async profiler to analyze memory consumption
• Using VisualVM profiler generations count to detect a memory leak
• Using MissionControl/JFR for automatic memory leaks analysis
• Eclipse Memory Analyser – denominators and heap analysis

Module 10: Java caching [3 h]

• Caching patterns
• HTTP caching
• Creating intermediate cache with nginx
• Caching libraries configuration
• Popular caching libraries: EhCache, Caffeine
• Service level caching
• Caching Spring Services
• Input/Output bufferin
• Processor caches and contiguous memory
• JPA/Hibernate caching
• Using caches on different layers of application

Total: theory 40h (100%), homework 11h (+28%)