Troubleshooting Java: Read, debug, and optimize JVM applications

Troubleshooting Java
contents
preface
acknowledgments
about this book
	Who should read this book
	How this book is organized: A roadmap
	About the code
	liveBook discussion forum
	Author online
about the author
about the cover illustration
Part 1: The basics of investigating a codebase
	Chapter 1: Revealing an app’s obscurities
		1.1 How to more easily understand your app
		1.2 Typical scenarios for using investigation techniques
			1.2.1 Demystifying the unexpected output
			1.2.2 Learning certain technologies
			1.2.3 Clarifying slowness
			1.2.4 Understanding app crashes
		1.3 What you will learn in this book
	Chapter 2: Understanding your app’s logic through debugging techniques
		2.1 When analyzing code is not enough
		2.2 Investigating code with a debugger
			2.2.1 What is the execution stack trace, and how do I use it?
			2.2.2 Navigating code with the debugger
		2.3 When using the debugger might not be enough
	Chapter 3: Finding problem root causes using advanced debugging techniques
		3.1 Minimizing investigation time with conditional breakpoints
		3.2 Using breakpoints that don’t pause the execution
		3.3 Dynamically altering the investigation scenario
		3.4 Rewinding the investigation case
	Chapter 4: Debugging apps remotely
		4.1 What is remote debugging?
		4.2 Investigating in remote environments
			4.2.1 The scenario
			4.2.2 Finding issues in remote environments
	Chapter 5: Making the most of logs: Auditing an app’s behavior
		5.1 Investigating issues with logs
			5.1.1 Using logs to identify exceptions
			5.1.2 Using exception stack traces to identify what calls a method
			5.1.3 Measuring time spent to execute a given instruction
			5.1.4 Investigating issues in multithreaded architectures
		5.2 Implementing logging
			5.2.1 Persisting logs
			5.2.2 Defining logging levels and using logging frameworks
			5.2.3 Problems caused by logging and how to avoid them
		5.3 Logs vs. remote debugging
Part 2: Deep analysis of an app’s execution
	Chapter 6: Identifying resource consumption problems using profiling techniques
		6.1 Where would a profiler be useful?
			6.1.1 Identifying abnormal usage of resources
			6.1.2 Finding out what code executes
			6.1.3 Identifying slowness in an app’s execution
		6.2 Using a profiler
			6.2.1 Installing and configuring VisualVM
			6.2.2 Observing the CPU and memory usage
			6.2.3 Identifying memory leaks
	Chapter 7: Finding hidden issues using profiling techniques
		7.1 Sampling to observe executing code
		7.2 Profiling to learn how many times a method executed
		7.3 Using a profiler to identify SQL queries an app executes
			7.3.1 Using a profiler to retrieve SQL queries not generated by a framework
			7.3.2 Using the profiler to get the SQL queries generated by a framework
			7.3.3 Using the profiler to get programmatically generated SQL queries
	Chapter 8: Using advanced visualization tools for profiled data
		8.1 Detecting problems with JDBC connections
		8.2 Understanding the app’s code design using call graphs
		8.3 Using flame graphs to spot performance problems
		8.4 Analyzing queries on NoSQL databases
	Chapter 9: Investigating locks in multithreaded architectures
		9.1 Monitoring threads for locks
		9.2 Analyzing thread locks
		9.3 Analyzing waiting threads
	Chapter 10: Investigating deadlocks with thread dumps
		10.1 Getting a thread dump
			10.1.1 Getting a thread dump using a profiler
			10.1.2 Generating a thread dump from the command line
		10.2 Reading thread dumps
			10.2.1 Reading plain-text thread dumps
			10.2.2 Using tools to better grasp thread dumps
	Chapter 11: Finding memory- related issues in an app’s execution
		11.1 Sampling and profiling for memory issues
		11.2 Using heap dumps to find memory leaks
			11.2.1 Obtaining a heap dump
			11.2.2 Reading a heap dump
			11.2.3 Using the OQL console to query a heap dump
Part 3: Finding problems in large systems
	Chapter 12: Investigating apps’ behaviors in large systems
		12.1 Investigating communication between services
			12.1.1 Using HTTP server probes to observe HTTP requests
			12.1.2 Using HTTP client probes to observe HTTP requests the app sends
			12.1.3 Investigating low-level events on sockets
		12.2 The relevance of integrated log monitoring
		12.3 Using deployment tools in investigations
			12.3.1 Using fault injection to mimic hard-to-replicate issues
			12.3.2 Using mirroring to facilitate testing and error detection
appendix A: Tools you’ll need
appendix B: Opening a project
appendix C: Recommended further reading
appendix D: Understanding Java threads
	D.1 What is a thread?
	D.2 A thread’s life cycle
	D.3 Synchronizing threads
		D.3.1 Synchronized blocks
		D.3.2 Using wait(), notify(), and notifyAll()
		D.3.3 Joining threads
		D.3.4 Blocking threads for a defined time
		D.3.5 Synchronizing threads with blocking objects
	D.4 Common issues in multithreaded architectures
		D.4.1 Race conditions
		D.4.2 Deadlocks
		D.4.3 Livelocks
		D.4.4 Starvation
	D.5 Further reading
appendix E: Memory management in Java apps
	E.1 How the JVM organizes an app’s memory
	E.2 The stack used by threads to store local data
	E.3 The heap the app uses to store object instances
	E.4 The metaspace memory location for storing data types
index
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