Debugging Bootcamp : Debugging software by first principles

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Debugging Bootcamp : Debugging software by first principles

Requirements

  • Working with systems that are already shipped for real customers. Commited to deliver the best possible software exprience to the end users.
  • Actively involved in shipping code and building tools. Procative engineers.
  • Bandwidth to follow up on the references. Enthusiasm to learn more and grow in career.
  • Patience to understand the impact of ideas being discussed.
  • Willingness to followup on ideas in daily engineering tasks.

Description

Debugging is more than just attaching a debugger to a running program. Identifying the correct root cause is a skill. In addition, the complexity of distributed systems and multi-language stacks makes debugging even harder.

The key to a long career in software is the ability to build large systems. Large-scale systems cannot be created on a single machine using a single programming language. Hence one has to evolve into a generalist engineer to lead such efforts. Irrespective of role, understanding complexity and the ability to navigate it during production firefighting is a growth accelerator in the industry. 

The course takes a generic view of workflows leading to frequently occurring debugging problems in large systems. Intentionally no tool details or deep dives are included. Instead, a guidance framework is provided for the students to explore further in their day job or software projects.

Distributed systems are a challenge to debug. Not understanding a problem can easily lead one to debug the wrong services and stacks. It is always a communication problem first. Focus on building a generic debugging mental framework instead of becoming dependent on tools like windbg and gdb as the primary response to any situation.

This course is for people who consider themselves problem solvers ahead of their designation and qualifications. For example, if you believe only developers should debug or only support should talk to customers, then this course is incompatible with your ideas.

Each section represents the debugging consideration for a particular scenario.

Questions the course addresses

  • How domain plays a role in debugging?
  • What considerations do software engineers make while debugging?
  • How to deal with stressful production debugging scenarios?
  • How to approach SRE?
  • Can all scenarios be automated for ease of debugging?
  • How do monitoring and observability help in debugging?
  • Can bugs to identified at design time itself?
  • What makes distributed systems hard to debug?
  • Why is debugging generic skills, unlike programming language expertise?
  • Are there software techniques beyond windbg, gdb?
  • How is debugging different from reverse engineering?

Course Updates:

[Sept 2022]: Course with rich details and elaborate real-life examples

[Oct 2022]: Subtitles fixed

Who this course is for:

  • Beginner programmers who have recently learned C++, Java, Python, JavaScript and want to understand how real life production systems work.
  • Developers, QA, Support engineers looking to working in startups or want to join startups as thier next job
  • Engineers working on call rotation for customer support
  • Software engineers working with SRE team or as SRE members. Dealing with production on a regular basis.
  • Engineers looking to grow in roles of senior software engineer, team lead, tech lead
  • Active programmers in any language with multiple language based systems or products. Dealing with multiple services written in C++, Java, Python, Rust, GoLang, JavaScript.
  • Students looking forward to work in software industry

FREE $49.99 GET COUPON CODE

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