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Go started in September 2007 when Robert Griesemer, Ken Thompson, and I began discussing a new language to address the engineering challenges we and our colleagues at Google were facing in our daily work.

When we first released Go to the public in November 2009, we didn’t know if the language would be widely adopted or if it might influence future languages. Looking back from 2020, Go has succeeded in both ways: it is widely used both inside and outside Google, and its approaches to network concurrency and software engineering have had a noticeable effect on other languages and their tools.

Go has turned out to have a much broader reach than we had ever expected. Its growth in the industry has been phenomenal, and it has powered many projects at Google.


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Google’s mission is “to organize the world’s information and make it universally accessible and useful.” One of the teams responsible for organizing that information is Google’s Core Data Solutions team. The team, among other things, maintains services to index web pages across the globe. These web indexing services help support products like Google Search by keeping search results updated and comprehensive, and they’re written in Go.

When the product Chrome comes to mind, you probably think solely of the user-installed browser. But behind the scenes, Chrome has an extensive fleet of backends. Among these is the Chrome Optimization Guide service. This service forms an important basis for Chrome’s user experience strategy, operating in the critical path for users, and is implemented in Go.

The Firebase Hosting team provides static web hosting services for Google Cloud customers. They provide a static web host that sits behind a global content delivery network, and offer users tools that are easy to use. The team also develops features that range from uploading site files to registering domains to tracking usage.

Google runs a small number of very large services. Those services are powered by a global infrastructure covering everything one needs: storage systems, load balancers, network, logging, monitoring, and many more. Nevertheless, it is not a static system - it cannot be. Architecture evolves, new products and ideas are created, new versions must be rolled out, configs pushed, database schema updated, and more. We end up deploying changes to our systems dozens of times per second.


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