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Pinal Dave

This course will teach you to profile go applications with various standard library options.

Go is a language designed with software engineering principles in mind. In this course, Profiling Go Applications, you’ll learn to profile various Go Language applications. First, you’ll explore profiling applications with benchmarking. Next, you’ll discover profiling native applications. Finally, you’ll learn how to profile active web-based applications. When you finish this course, you’ll have the skills and knowledge of various tools to profile Go Language applications.

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What's inside

Syllabus

Course Overview
Introduction to Profiling in Go Language
Profiling with ppro
Performance Tuning in Real World
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Teaches performance optimization, which is a critical skill in software engineering
Develops foundational skills in Go profiling, which is useful for performance analysis and debugging
Taught by instructors experienced in programming and Go performance profiling
Examines various tools and techniques for profiling Go applications, providing a comprehensive understanding
Provides hands-on practice with profiling real-world applications
Course is suitable for intermediate Go developers seeking to enhance their performance optimization skills

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Profiling Go Applications with these activities:
Identify a mentor who can guide your Go profiling journey
Having a mentor can provide valuable support and guidance, especially for complex topics
Show steps
  • Attend industry events and conferences to network with potential mentors
  • Reach out to people in your professional network for recommendations
  • Search online for Go profiling experts and mentors
  • Interview potential mentors to find a good fit
Explore Go profiling tools
Familiarization with different profiling tools will help students to choose the most appropriate for their needs
Show steps
  • Research and identify different Go profiling tools
  • Install and set up the tools
  • Run the tools on sample applications
  • Compare the results and identify the pros and cons of each tool
Study Go Blogs and Forums
Seeking out and following relevant blogs and forums can help provide reinforcement of topics from the course
Show steps
  • Identify relevant Go Blogs and forums
  • Make a list of topics you are currently struggling with
  • Look for posts related to the topics on your list
Five other activities
Expand to see all activities and additional details
Show all eight activities
Write a blog post or article about Go profiling techniques
Creating content helps students consolidate their understanding of the material and can serve as a valuable resource for others
Show steps
  • Choose a specific profiling technique or topic to focus on
  • Research and gather information on the topic
  • Organize your thoughts and structure your content
  • Write and edit your blog post or article
  • Publish and share your content
Practice Go profiling with real-world applications
Profiling real-world applications can help students understand how to apply profiling techniques in practical settings
Show steps
  • Find a suitable open-source Go application
  • Download and set up the application
  • Run the application with profiling enabled
  • Analyze the profiling results and identify performance bottlenecks
  • Implement optimizations to improve the performance of the application
Mentor junior developers in Go profiling
Mentoring others allows students to reinforce their knowledge and skills while helping others learn
Show steps
  • Identify opportunities to mentor junior developers
  • Prepare materials and resources to support your mentees
  • Provide guidance and support to your mentees as they learn about Go profiling
  • Create a supportive and encouraging environment where your mentees can ask questions and learn from mistakes
  • Track and evaluate the progress of your mentees
Develop a Go application that uses profiling techniques
Building a project that incorporates profiling techniques can provide a deeper understanding of how to use them effectively
Show steps
  • Design the application architecture and identify potential performance bottlenecks
  • Implement profiling techniques in the code
  • Run the application and analyze the profiling results
  • Refactor the code to improve performance based on the profiling results
  • Deploy the application and monitor its performance in a production environment
Contribute to open-source Go profiling projects
Contributing to open-source projects provides practical experience and the opportunity to learn from others
Show steps
  • Identify open-source Go profiling projects that need contributors
  • Review the project documentation and codebase
  • Identify areas where you can contribute
  • Submit pull requests with your contributions
  • Collaborate with other contributors and the project maintainers

Career center

Learners who complete Profiling Go Applications will develop knowledge and skills that may be useful to these careers:
Embedded Systems Engineer
Embedded Systems Engineers design and develop embedded systems, which are computer systems that are embedded in other devices. This course will teach you how to profile and optimize the performance of Go applications in embedded systems, giving you skills that are increasingly in demand. Gaining these skills will very likely lead you to success in your career in embedded systems engineering.
Distributed Systems Engineer
Distributed Systems Engineers design and develop distributed systems, which are computer systems that are spread across multiple computers. This course will help you build a foundation in profiling and optimizing the performance of Go applications in distributed systems, where Go has a large foothold, making this course highly relevant to your career.
Software Engineer
Software Engineers work in many industries, but an ability to use Go and Go-based tooling and frameworks is useful in many domains. This course will help you gain these skills, and it will also enhance your general programming ability. Especially if you are interested in applied domains such as embedded system programming, where Go has a large foothold, this course's coverage of ppro and real-world performance tuning will be of great help to your career.
Performance Engineer
Performance Engineers analyze and optimize the performance of software applications. This course will help you get the skills you need to profile and optimize the performance of Go applications. It will also help you build a foundation in ppro and real-world performance tuning. This course is especially relevant if your aim is to work with embedded systems.
Systems Engineer
Systems Engineers design, develop, test, deploy, and maintain IT systems. This course will help you develop the skills necessary to profile and optimize the performance of Go-based systems. Especially if your interest is in embedded systems or distributed systems, this course is relevant. It provides a foundation in ppro and real-world performance tuning.
Software Architect
Software Architects design and develop the overall architecture of software applications. This course can help you develop the skills and knowledge you need to profile and optimize the performance of Go applications. This course is especially relevant if your interest is in embedded or distributed systems, domains where Go is popular.
Computer Programmer
Computer Programmers write and test code for software applications, which may be for desktop, embedded, or distributed systems. Specifically, Go is widely used in embedded systems. This course covers how to profile and optimize the performance of Go applications, which may help you both get hired into and advance in this career.
Web Developer
Web Developers design, develop, and maintain websites. This course may help you get the skills you need to profile and optimize the performance of web-based applications written in Go. You will come to understand how to use ppro.
Data Engineer
Data Engineers design, develop, and maintain systems for managing large amounts of data. This course may help you get the skills you need to profile and optimize the performance of Go applications, which you may use in data engineering tasks.
Database Administrator
Database Administrators manage and maintain databases. This course may help you get the skills you need to profile and optimize the performance of Go applications, which you may use in database administration tasks.
Cloud Engineer
Cloud Engineers design, develop, and maintain cloud computing systems. This course may help you get the skills you need to profile and optimize the performance of Go applications, which you may use in cloud engineering tasks.
Machine Learning Engineer
Machine Learning Engineers design and develop machine learning models. This course may help you get the skills you need to profile and optimize the performance of Go applications, which you may use in machine learning engineering tasks.
Data Scientist
Data Scientists use scientific methods and techniques to extract knowledge and insights from data. This course may help you get the skills you need to profile and optimize the performance of Go applications, which you may use in data science tasks.
Security Engineer
Security Engineers design and implement security measures to protect computer systems and networks. This course may help you get the skills you need to profile and optimize the performance of Go applications, which you may use in security engineering tasks.
DevOps Engineer
DevOps Engineers work to improve the collaboration between software development and IT operations teams. This course will help you understand the skills and knowledge required to profile and optimize the performance of Go applications, something which is relevant to DevOps engineering. Especially if your work involves Go-based embedded systems, this course will be a good starting point for you.

Reading list

We've selected five books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Profiling Go Applications.
Provides a comprehensive guide to concurrency in Go, including topics such as goroutines, channels, and synchronization.
Provides an introduction to profiling Go applications and covers topics such as profiling with pprof, performance tuning, and profiling in production.
Provides a comprehensive guide to developing web applications in Go, including topics such as HTTP, routing, and web frameworks.
Provides a comprehensive guide to designing and building data-intensive applications, including topics such as data modeling, storage systems, and distributed systems.

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