I just released my 48th course on the learning platform Pluralsight. It was fun to build this new course Profiling Go Applications. I have been consulting with GO Lang for quite a while. Go language is known for its concurrency support, making writing high-performance software easier. It also has a simple and consistent syntax, which leads to more readable and maintainable code. I am thrilled to be able to share my experience and knowledge of this powerful language with others through my course on Pluralsight.
Profiling Go Applications
Go is a language designed with software engineering principles in mind.
In this course, we will be focusing specifically on profiling Go applications. In the real world, there are three primary situations where Go applications need profiling.
- Profiling application with built-in benchmarking
- Profiling native applications at run-time
- Profiling active web-based applications in real-time
We’ll cover these scenarios in detail and show you how to use Go’s built-in profiling tools to collect and analyze performance data. With the skills and knowledge you’ll gain from this course, you can optimize your Go applications and web services and provide a fast and efficient user experience.
Why Watch this course?
If you are interested in improving the performance of your Go language programs, then you should watch this course on Profiling in Go Language. The course is divided into three modules, and each module contains several clips that focus on different aspects of profiling and performance tuning.
In the first module, “Introduction to Profiling in Go Language,” you will learn about the basics of profiling and how it can help you identify performance bottlenecks in your code. You will also see demos on profiling in Go Language with Go Test and pprof.
The second module, “Profiling with pprof,” provides a more in-depth look at using the pprof tool to profile Go programs. You will learn how to perform CPU, memory, blocking, and dynamic profiling, and how to use the interactive web interface for pprof. You will also see demos on tracing execution flow and web profiling with Net/HTTP/pprof.
The final module, “Performance Tuning in Real World,” covers practical examples of optimizing the performance of your Go programs. You will see demos on optimizing CPU usage for Fibonacci series and resolving memory leaks in applications.
Overall, this course is a great resource for anyone looking to improve the performance of their Go language programs. The demos and examples make it easy to follow along and apply the concepts in real-world scenarios.
You will need a Pluralsight subscription to watch this course. You can also watch this course by signing up for a free trial. Here is a link to the course – You will need a Pluralsight subscription to watch this course. You can also watch this course by signing up for a free trial. Here is a link to the course – Profiling Go Applications.
Reference:Â Pinal Dave (http://blog.SQLAuthority.com)
