Go Performance Optimization

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Miki Tebeka

1:12:34

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01 - Introduction

01 - Go performance optimization.mp4

00:28

02 - What you should know.mp4

00:15

03 - Setting up.mp4

00:27

02 - 1. Performance Overview

01 - Why optimize.mp4

01:49

02 - Setting goals.mp4

01:10

03 - Understanding Big O notation.mp4

02:01

04 - Computer architecture overview.mp4

02:26

03 - 2. CPU Optimization

01 - Measuring speed.mp4

02:55

02 - Using the profiler.mp4

04:21

03 - Common mistakes.mp4

02:33

04 - Tips and tricks.mp4

05:10

05 - Challenge Improve a data structure.mp4

00:44

06 - Solution Improve a data structure.mp4

01:13

04 - 3. Memory Optimization

01 - Measuring memory.mp4

01:25

02 - Profiling memory.mp4

02:00

03 - Common mistakes.mp4

03:37

04 - Tips and tricks.mp4

04:16

05 - Challenge Improve memory consumption.mp4

01:33

06 - Solution Improve memory consumption.mp4

02:24

05 - 4. Concurrency

01 - Amdahls law and its implications.mp4

01:34

02 - Fan out.mp4

03:17

03 - Consumer producer.mp4

02:21

04 - Challenge GitHub influence.mp4

01:04

05 - Solution GitHub influence.mp4

01:30

06 - 5. Service Optimization

01 - Measuring service performance.mp4

03:55

02 - Choosing serialization format.mp4

01:59

03 - Choosing transport medium.mp4

02:18

04 - Caching.mp4

02:51

05 - Challenge Stock prices.mp4

01:33

06 - Solution Stock prices.mp4

02:21

07 - 6. Development Process

01 - Why do you need a process.mp4

02:03

02 - Recording benchmarks.mp4

02:23

03 - Monitoring and alerting.mp4

02:07

08 - Conclusion

01 - Next steps.mp4

00:31

Description

Code that runs faster and consumes less memory can save your organization a lot of money, and responsive applications keep your users happy. For the past 25 years, Miki Tebeka has helped companies develop faster software with fewer resources. In this course, he shares the tools and techniques that he uses when optimizing code and services. Learn when and why to optimize and go over goal setting. Go over how to measure code performance and memory consumption. Explore solutions that involve concurrency and service optimization. Plus, discover why recording benchmarks is important and how to monitor and alter performance effectively.

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Miki Tebeka

Instructor's Courses

Teaching effective hands-on workshops all of the world. Consultant solving hard problem with the right tools (Java and C++ are *not* the right tools ;). Book author, LinkedIn learning Author, open source contributor and convention organizer, meetup co host and coding for fun in my spare time. Specialties: Python & Scientific Python (Expert), Go (Expert), C/C++, Clojure, JavaScript, bash, ... Information retrieval - tokenization, summarization, clustering, search ... Concurrency - Multi process, multi threaded, Hadoop ... Web development - REST APIs, jQuery, JavaScript, CSS, (X)HTML Assemblers, Linkers, Debugger, Simulators SCM tools (git, Mercurial, Perforce, subversion, CVS, ClearCase) Linux, OS X and Windows Functional Programming, OOD, OOP Databases - SQL (BigQuery, PostgreSQL, MySQL, Oracle) and NoSQL (Redis, MongoDB, CouchDB)

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LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.