What you'll learn:
- How to spin Goroutines and communicate data between them.
- How to avoid Race conditions and Deadlocks.
- How to synchronize the execution of Goroutines.
- How Go Scheduler works.
- How to build streaming pipelines with Goroutines and Channels.
- How to propagate data across API boundary.
Questions that comes to all Developers is whether they are utilising the available Computing resource efficiently?
Course Overview
The course could be divided into five parts.
Concurrency Primitives
Deep Dive into Concurrency Primitives
Concurrency Patterns
Context Package
Bonus Section - Interfaces
In the course we try to answer these questions.
Concurrency Primitives
What are the limitations of Threads?
What are advantages of goroutines over OS threads?
How do we avoid race condition?
How Channels are used to communicate data?
How do we implement timeout and non-blocking communication?
When do we use mutex and channels?
How to synchronise execution of goroutines?
How to detect race condition in Go?
Deep Dives into Concurrency Primitives
How Go scheduler works?
How does context switching works?
How channel send and receive works underneath?
Concurrency Patterns
How to construct streaming pipelines with Goroutines and Channels?
How to Fan-out and Fan-in computationally intensive stages?
How do we avoid Goroutine Leaks?
Context Package
How we can propagate request scoped data and cancellation signal across API boundaries?
Coding Exercises
Each concept is followed by a Coding Exercise.
Exercises blueprint are shared on Github.
Sample Applications
We will build
Blueprint of web crawler.
Image processing pipeline.
HTTP Server Timeouts with Context Package.
Bonus Section - Interfaces
How to define common behaviour between different objects as abstract type?
How Interface provides an abstraction for higher level functions?
