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

What architectural approach represents a shift away from the centralized, monolithic model in distributed systems?

What architectural approach represents a shift away from the centralized, monolithic model in distributed systems?

What does OpenTelemetry aim to standardize and simplify in distributed systems?

What does OpenTelemetry aim to standardize and simplify in distributed systems?

It helps identify network and communication problems.

It provides a comprehensive view of system behavior, aiding in issue diagnosis.

It replaces traditional monitoring practices.

It eliminates the need for load balancing in microservices architectures.

Why is observability important in debugging distributed systems?

Why is observability important in debugging distributed systems?

How do distributed systems typically address timing issues in logging?

How do distributed systems typically address timing issues in logging?

What is the purpose of log sampling in distributed systems?

What is the purpose of log sampling in distributed systems?

What is the primary advantage of using JSON log format in distributed systems?

What is the primary advantage of using JSON log format in distributed systems?

Metrics provide historical records, while logs offer real-time insights.

Metrics focus on human readability, while logs prioritize automated processing.

Metrics offer real-time quantitative measurements, while logs capture textual records.

Metrics are used for debugging and auditing, while logs are used for performance. 

How do metrics differ from logs in a distributed system?

How do metrics differ from logs in a distributed system?

What are the three primary components of a metric?

What are the three primary components of a metric?

What is the primary advantage of distributed tracing over traditional metrics and logs in understanding complex issues in distributed environments?

What is the primary advantage of distributed tracing over traditional metrics and logs in understanding complex issues in distributed environments?

What can distributed tracing provide in a microservice-based application that metrics and logs might struggle with?

What can distributed tracing provide in a microservice-based application that metrics and logs might struggle with?

Test yourself on the knowledge you learned about debugging distributed systems.

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: Debugging Distributed Systems