- Mastering Concurrency in Go
- Table of Contents
- Mastering Concurrency in Go
- Credits
- About the Author
- About the Reviewers
- www.PacktPub.com
- Preface
- 1. An Introduction to Concurrency in Go
- 2. Understanding the Concurrency Model
- 3. Developing a Concurrent Strategy
- 4. Data Integrity in an Application
- 5. Locks, Blocks, and Better Channels
- 6. C10K – A Non-blocking Web Server in Go
- 7. Performance and Scalability
- 8. Concurrent Application Architecture
- Designing our concurrent application
- Identifying our requirements
- Using NoSQL as a data store in Go
- Monitoring filesystem changes
- Managing logfiles
- Handling configuration files
- Detecting file changes
- Backing up our files
- Designing our web interface
- Reverting a file's history – command line
- Checking the health of our server
- Summary
- 9. Logging and Testing Concurrency in Go
- 10. Advanced Concurrency and Best Practices
- Going beyond the basics with channels
- Building workers
- Implementing nil channel blocks
- Implementing more granular control over goroutines with tomb
- Timing out with channels
- Building a load balancer with concurrent patterns
- Choosing unidirectional and bidirectional channels
- Using an indeterminate channel type
- Using Go with unit testing
- Using Google App Engine
- Utilizing best practices
- Summary
- Index
You'll note that despite preferring camelCase for most of our variables, we have some uppercase variables within structs. This is an important Go convention worth mentioning: any struct variable that begins with a capital letter is public. Any variable that begins with a lowercase letter is private.
If you attempt to output a private (or nonexistent) variable in your template files, template rendering will fail.
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