Jubulah Labs > Tech > Go

Go (golang)
strongly / statically typed language

What Is Go?

The Go programming language (also known as Golang since "Go" is difficult to search in a search engine) is an open-source language developed by Google (which ironically didn't seem to care about the SEO of the name), designed for building efficient, scalable, and high-performance applications. It is a statically typed, compiled language known for its simplicity and speed, making it a popular choice for backend development, especially for systems and applications that require concurrency, high throughput, and low latency.

Go is known for its minimalistic design, with a syntax that is simple and easy to learn, while also providing powerful features for modern application development. It excels at tasks like microservices, networking, and cloud-native applications, and its strong support for concurrency makes it an ideal choice for building highly scalable systems.

Why Use Go?

Go offers a number of benefits, making it an excellent choice for backend development. Here are some key reasons to consider Go for your next project:

1. High Performance: As a compiled language, Go offers near-native performance, making it an excellent choice for performance-critical backend systems. It's capable of handling high-load applications, especially for concurrent workloads such as web servers, APIs, and microservices.
2. Concurrency Support: Go's concurrency model, based on goroutines and channels, allows for highly efficient concurrent processing. This makes it ideal for building applications that handle a large number of simultaneous tasks, such as real-time applications, chat systems, and microservices with high traffic.
3. Simple and Readable Syntax: Go is designed with simplicity in mind. Its syntax is clean and easy to read, which improves code maintainability. Go avoids features like class-based inheritance, focusing on clear, simple constructs. While generics were initially absent from the language, they were introduced in Go 1.18 and are now a well-established part of the ecosystem.
4. Scalability: Go is particularly well-suited for scalable applications. Its efficient use of resources and built-in concurrency model allows it to scale easily with increasing traffic or data load, making it a great choice for building APIs, web services, and microservices architectures.
5. Strong Ecosystem and Community Support: Go has a large and growing community, providing a wealth of third-party libraries, frameworks, and tools to help speed up development. The Go standard library is also extensive, offering solutions for networking, encryption, and more out of the box.

Who Is Using Go?

Go's simplicity, performance, and scalability have made it a favorite among many top companies. Here are some notable companies that use Go:

• Google: Google created Go and uses it extensively across its internal infrastructure, including web indexing services that power Google Search and backend services for products like Chrome and Firebase Hosting.^[1]
• Uber: Uber has adopted Go as a primary language for its backend microservices. Their Go monorepo contains over 90 million lines of code spanning approximately 2,100 unique services.^[2]
• Dropbox: Dropbox migrated performance-critical backend systems from Python to Go to take advantage of better concurrency support and execution speed, resulting in approximately 200,000 lines of Go code across major infrastructure components (as of 2014).^[3]
• SoundCloud: SoundCloud has used Go for backend services and infrastructure, citing its readability and fast onboarding as key advantages for a team of generalist engineers (as of 2012).^[4]
• Twitch: Twitch uses Go for many of its highest-traffic systems, including its chat server, citing Go's simplicity, safety, and performance as well-suited to the demands of real-time video and chat at scale (as of 2016–2019).^[5]
• DigitalOcean: DigitalOcean has used Go across backend services including its Droplet Console, using goroutines and Go's standard library to dramatically reduce load times and improve reliability (as of 2014).^[6]

Why Go Might Not Be a Good Fit

While Go offers numerous advantages, it may not be the best choice for every project. Consider the following situations where Go might not be the most appropriate technology:

• Limited Libraries for Certain Domains: Go's ecosystem is vast but may not have as many specialized libraries or frameworks for certain use cases compared to more mature languages like Python or JavaScript. For example, if your application requires heavy use of machine learning or complex data analysis, languages like Python might be a better choice due to their extensive libraries for these tasks.
• No Native GUI Support: Go is designed primarily for server-side development and does not have robust built-in support for building graphical user interfaces (GUIs). If your project requires desktop applications with a rich, interactive GUI, you may need to rely on third-party libraries or choose a more suitable language like Java or C#.
• Verbose Error Handling: Go has a unique error-handling system that requires explicit error checks after each operation, which can lead to verbose code. While this makes the language more predictable and explicit, it can increase the boilerplate and reduce readability for developers who are not familiar with Go's design philosophy.
• Limited Object-Oriented Features: Go does not support traditional object-oriented concepts like class-based inheritance. While Go does provide structs and interfaces — and supports polymorphism through those interfaces — it lacks the class hierarchies and subtype-based inheritance that developers accustomed to languages like Java or Python may expect.

Overall, Go is an excellent choice for high-performance, scalable backend systems, especially those that require concurrent processing. However, if your project demands specialized libraries, a complex GUI, or extensive class-based object-oriented features, you may want to consider other programming languages better suited to those needs.

Citations

1. Google. "Using Go at Google." go.dev. https://go.dev/solutions/google/
2. Chabbi, Milind and Murali Krishna Ramanathan. "NilAway: Practical Nil Panic Detection for Go." Uber Engineering Blog, November 2024. https://www.uber.com/blog/nilaway-practical-nil-panic-detection-for-go/
3. Ying, Tony. "Open Sourcing Our Go Libraries." Dropbox Tech Blog, July 2014. https://dropbox.tech/infrastructure/open-sourcing-our-go-libraries
4. Bourgon, Peter. "Go at SoundCloud." SoundCloud Backstage Blog, 2012. https://developers.soundcloud.com/blog/go-at-soundcloud
5. Hiltner, Rhys. "Go's March to Low-Latency GC." Twitch Engineering Blog, July 2016. https://blog.twitch.tv/en/2016/07/05/gos-march-to-low-latency-gc-a6fa96f06eb7/
6. DigitalOcean. "New Super Fast Droplet Console. Thanks, Golang!" DigitalOcean Blog, 2014. https://blog.digitalocean.com/new-super-fast-droplet-console-thanks-golang/