Google Project Hosting Ou Google Code

Google Project Hosting Ou Google Code – At Google, open source is at the core of our architecture, practices, and culture. Therefore, involvement in these communities is critical to our success. Within OSPO (Open Source Programs Office), our mission is to bring the value of open source to Google and Google’s resources to open source. To ensure that our actions are in line with our commitments, in this article, we will examine various indicators aimed at increasing transparency, transparency and accountability in all the communities we interact with.

Why we help: Open source has become a pervasive part of modern software development, and Google is no exception. We use thousands of open source projects within our infrastructure and products. As participants in the ecosystem, our goal is twofold: to give back to the communities we trust and to increase support for open source in general. We strongly believe in open source and its ability to bring users, contributors and companies together to provide better software.

Google Project Hosting Ou Google Code

Google Project Hosting Ou Google Code

Most of Google’s open source work is done within one of two hosting platforms: GitHub and git-on-borg, the development of Google’s Git service that integrates with Gerrit for code review and access control. While we still allow personal use of Bitbucket, GitLab, Launchpad, and other platforms, this review will focus on GitHub and git-on-borg. We will continue to explore the best ways to connect events with other channels.

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Since numbers mean nothing without scale, let’s start by defining our work environment: in 2019, more than 9% of Alphabet’s full-time employees contributed to public documents on git-on-borg and GitHub. While a single number, this percentage represents the percentage of full-time Alphabet employees – from engineers, marketers to executives, to every business unit in Alphabet – and does not include those who help with open source projects outside of code. As our population grows, so does our base of registered contributors:

This chart shows the annual number of Google employees working on public repositories on GitHub and git-on-borg.

What we do: As mentioned above, our range of offers works in many forms of Google, personal and external. Over the years, Google has released thousands of open source projects (covering many areas) and ~2,600 are still active. Today, Google has more than 8,000 public repositories on GitHub and more than 1,000 public repositories on git-on-borg. Over the past 5 years, we have doubled the number of public spaces, growing our footfall by an average of 25% per year.

What we work on: In addition to our own warehouse, we supply to a wide range of outdoor swimming pool projects. In 2019, Google employees worked in more than 70,000 locations on GitHub, pushing departments and/or opening pull requests in more than 40,000 repositories. Note that more than 75% of the sites with pull requests opened by Googlers are outside the organization managed by Google (on GitHub).

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What we propose: For the contribution volume on GitHub, we choose to focus on encouraging activity, releases, and merging pull requests rather than performance because the metric itself is difficult to quantify. Note that push events and pull requests often involve one or more actions per event. In 2019, Googlers created more than 570,000 discussion threads, opened more than 150,000 pull requests, and created more than 36,000 push events on GitHub. Since 2015, we have doubled our annual number of generated issues and push events, and more than tripled the number of open requests. Over the past five years, more than 80% of pull requests opened by Googlers have been closed and merged into an active repository.

How we spend our time: Combining these two types of metrics – donations and repos – provides context for how our supporters view their time. On GitHub: In 2015, nearly 40% of our open pull requests were placed in just 25 repositories. However, in the next four years, our work is spread over large projects, with the top 25 repos taking up to 20% of open pull requests in 2019. For us, this indicates a healthy increase and diversity of interest, in particular. Consider that this event represents Google, as well as the community of contributors who will work at Google.

This chart breaks down the number of Googler generated pull requests on GitHub and the Top 25 repos versus the rest sorted by the number of pull requests opened per repo per year.

Google Project Hosting Ou Google Code

The contribution of open source goes beyond the code every day, Google relies on the health and continued availability of open source, and therefore we seriously invest in the safety and security of open source and the supply chain in three important areas: Where you should do your work. A lot of work? It depends… Choosing the right infrastructure to run your application is critical, both for the success of your application and the team that is managing and developing it. This post breaks down some important things to consider when deciding where to use your stuff!

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What are these services? Computers – virtual machines. You monitor CPU, memory, disk, and GPU, and select additional OS and software to use. Kubernetes Engine – manages Kubernetes clusters. Kubernetes is an open source system for automating, scaling and managing internal resources. You create groups and decide which devices to use; Kubernetes keeps them running and manages scaling, maintenance and connectivity. Run – A fully configurable server platform that runs each container. You give the code or device to run, and it accepts and automatically scales as needed to respond to web and other events. App Engine – A fully managed serverless platform for comprehensive web applications. App Engine handles networking, application scaling, and database scaling. You write a web application in one of the supported languages, submit it to App Engine, and it handles scaling, versioning, etc. Jobs – Event-driven serverless jobs. You write code for individual tasks and functions that call your tasks when events occur (for example, HTTP, Pub/Sub, and repository changes, etc.). At what level do you want to withdraw? If you want to control more infrastructure (for example, operating system, disk image, CPU, RAM and disk) then it makes sense to use a computer engine. This is a common way to migrate legacy applications and existing systems that require a specific OS. The tool provides a way to configure the OS so that multiple tasks can run on the same OS. They are fast and light, and offer portability. If your application is on the device then you have two main options. You can use Google Kubernetes Engine, or GKE, which gives you complete device control down to the specific OS, CPU, GPU, disk, memory and network nodes. GKE also provides Autopilot, if you want flexibility and control but with limited ops and engineering support. If, on the other hand, you are just looking to run your application on the device without worrying about expanding the infrastructure, then Run is the best choice. You can type your application code, enter it into the device, and send it. If you only need to code your HTTP application and leave the extension and deployment of the app to Google then App Engine – serverless, fully managed solution designed to host and run web applications – is a good choice for you. . If your code is a function and only performs actions based on events/triggers, then you should logically pass it with Functions. What is your use case? Use Compute Engine if you are migrating applications with specific licensing, OS, kernel, or network requirements. Examples: Windows-based applications, genomics processing, SAP HANA. Use GKE if your application requires a specific OS or network protocol beyond HTTP/s. When you use GKE, you are using Kubernetes, which makes it easy to deploy and scale to hybrid and multiple environments. Anthos is a platform designed specifically for hybrid and multi-use. It provides a single pane of glass visibility to the entire cluster from infrastructure to application performance and topology. Example: Applications that use Microservices. Use Run if you just want to use a container in your programming language of choice with HTTP/s and web support. For example: websites, APIs, data processing apps, webhooks. Use App Engine if you want to deploy and manage web applications (HTTP/s) on a serverless platform. For example: web applications, mobile apps backends use functions if your code is a function and only perform actions based on events / triggers from Pub/Sub or storage. For example: run the video publishing code when the video is saved to the storage container. Want to be portable with open source? If your needs are based on portability and open source support look to GKE, Run, and Jobs. All of them are based on open source systems that help you avoid lock-in and give you the freedom to extend your assets to hybrid and multi-environment environments. GKE cluster is powered by Kubernetes open-source cluster management system, which provides

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