Sydney High Performance Go workshop

David is an open source contributor and project member for the Go programming language. David is a well-respected voice within the tech community, speaking on a variety of topics such as software design, performance, and the Go programming language.In 2009, while idly perusing Google Reader (we'll never forget!) he ran across the announcement of a new open source language, Go. It was love at first sight. From that point David's passion has taken him around the world writing, teaching, and speaking about Go.David is currently a member of the technical staff at VMware. Prior to their acquisition he served as a Staff Engineer at Heptio, a Seattle based company, focused on building tools to help developers become more productive with Kubernetes.

David Cheney

<H2>High Performance Go</H2>
The goal for this workshop is to give you the tools you need to diagnose and fix performance problems in your Go applications.
 
Through the day we work from the small -- learning how to write benchmarks, then profiling a small piece of code. Then step out and talk about the execution tracer, the garbage collector and tracing running applications. The remainder of the day will be a chance for you to ask questions, experiment with your own code.
 
This workshop is available in full day and half day lengths.
 
<H2>Syllabus</H2>
 
<UL>
<LI>Benchmarking 
How to write effective benchmarks, and how to interpret their results. This section includes some traps for young players and advice for how to avoid them.
</LI>
<LI>Profiling 
How to use the tools built into the Go runtime, and other tools like perf(1) to gain an understanding on what your code is doing.
</LI>
<LI>Compiler optimisations 
The Go compiler performs many of the classical optimisation passes found in modern compilers. This section will discuss the operation of the three most important ones; inlining, escape analysis, and dead code elimination.
</LI>
<LI>Understanding the execution tracer 
Unlike sample based profiling, the execution tracer is integrated into the Go runtime, so it doesn't just know what a Go program is doing at a particular point in time, but why. This section will demonstrate the usage and interpretation of the results from, the execution tracer.
</LI>
<LI>Memory management and GC tuning 
As Go is a garbage collected language, understanding, and working with the garbage collector is a large part of writing performant applications.
</LI>
<LI>Concurrency
The final section focuses on using (and not overusing) Go's concurrency features.
</LI>
</UL>
 
After each section there will be ample time for questions from the students.
 
Once all the sections are complete the remainder of the time will be dedicated to assisting the students in applying the material to their own projects.
 
<H2>Prerequisites</H2>
 
<UL>
<LI>
Each student must provide their own laptop with a current working Go environment.
</LI>
</UL>
 
<H2>Outcomes</H2>
 
At the end of the day you will be able to
 
<UL>
<LI>
Write reliable benchmarks.
</LI>
<LI>
Profile existing programs.
</LI>
<LI>
Identify common bottlenecks.
</LI>
<LI>
Address performance bottlenecks and measure the result.
</LI>
</UL>

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Sydney High Performance Go workshop

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