Want to learn how to code? Get hands-on with debugging techniques, trace bugs, troubleshoot environments, and confidently build in-demand skills to diagnose code efficiently. Fun and immersive learning awaits!

Dockerfile.tar.gz

Crash

Hang

Mem-Leak

spa2

Python

Go-queue-repro

Python-logging

Go-hang

C-program

SPA-malloc-C

memory-monitoring

Python-otel

Go-with-mod-tidy

spa2-copy

SPA-dns

This course covers debugging and the different techniques that help developers efficiently trace bugs in programming. It also includes guidelines and tips for software developers who must debug applications in production environments. 

You’ll start with introductory concepts of bugs and their life cycle. Next, you’ll cover the basic debugging techniques such as tracing code paths, reproducing the issue, logging, and knowing what to chase. In the next section, you’ll learn debugging techniques for multithreaded applications and the art of finding bugs in crashes and hangs. By the end of the course, you’ll gain knowledge about scaling issues, troubleshooting environments, monitoring, and building debuggable systems.

After completing this course, you’ll have detailed knowledge of debugging and its different techniques. It will also help you enhance your debugging skills, which are applied throughout the life cycle of software development.

Mastering Debugging: Techniques for Efficient Code Diagnosis

Why do programming languages employ memory allocation strategies that allocate more memory than asked for by the program?

Why do programming languages employ memory allocation strategies that allocate more memory than asked for by the program?

What is a potential drawback of garbage collection for managing dynamically allocated memory?

What is a potential drawback of garbage collection for managing dynamically allocated memory?

The process frequently restarts after crashes.

The process consumes more memory than other processes.

The process's memory usage increases monotonically.


What could be a possible indication of a memory leak in a process?

What could be a possible indication of a memory leak in a process?

A thread that consumes excessive CPU resources.

A thread that runs indefinitely without completing its task.

A thread that is created but not properly managed by the program.

A thread that communicates with external systems.

They can significantly slow down the underlying process causing performance issues.

Why are tools like `Valgrind` not very useful in production environments?

Why are tools like <code>Valgrind</code> not very useful in production environments?

Eliminating the need for monitoring graphs or charts

 Improving code performance without debugging

What is the primary benefit of automating memory monitoring and actions?

What is the primary benefit of automating memory monitoring and actions?

When there is a memory leak in the service

When the system has reached its maximum memory capacity

When restarting the service instance is not feasible

When the memory usage is caused by increased load or usage

When is scaling up service instances a useful option to address memory usage growth?

When is scaling up service instances a useful option to address memory usage growth?

Generating or collecting diagnostic information

What is the recommended option when a process' memory usage is starting to reach a level where any more memory usage would cause a memory crunch?

What is the recommended option when a process’ memory usage is starting to reach a level where any more memory usage would cause a memory crunch?

**(True or False)** Shared libraries are loaded into memory at compile-time.

(True or False) Shared libraries are loaded into memory at compile-time.

**(True or False)** Shared libraries allow multiple programs to share the same code in memory.

(True or False) Shared libraries allow multiple programs to share the same code in memory.

Test yourself on the knowledge you learned about resource leaks.

Introduction to Debugging

Bugs Life Cycle

Basic Debugging

Multithreaded Debugging

Code Reading

Crashes and Hangs

Resource Leaks

Debugging Distributed Systems

Scaling Issues

Troubleshooting Environments

Principles for Proactive Product Maintainability

Conclusion

Quiz: Resource Leaks