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Google’s GitHub competitor gets better search tools

Google today announced an update to Cloud Source Repositories , its recently relaunched Git-based source code repository, that brings a significantly better search experience to the service. This new search feature is based on the same tool that Google’s own engineers use day in and day out and it’s now available in the beta release of Cloud Source Repositories. If you’ve been on the internet for a while, then you probably remember Google Code Search . Code Search allowed you to search through any open-source code on the internet. Sadly, Google shut this down back in 2012. This new feature isn’t quite the same, though. It only allows you to search your own code — or that from other people in your company. It’s just as fast as Google’s own search, though, and allows you to use regular expressions and other advanced search features. One nifty feature here is that for Java, JavaScript, Go, C++, Python, TypeScript and Proto files, the tools will also return information on whether the match is a class, method, enum or field. Google argues that searching through code locally is not very efficient and means you are often looking at outdated code. As Google also notes, you can mirror your code from GitHub and Bitbucket with Cloud Source Repositories.

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Google’s GitHub competitor gets better search tools

Google today announced an update to Cloud Source Repositories , its recently relaunched Git-based source code repository, that brings a significantly better search experience to the service. This new search feature is based on the same tool that Google’s own engineers use day in and day out and it’s now available in the beta release of Cloud Source Repositories. If you’ve been on the internet for a while, then you probably remember Google Code Search . Code Search allowed you to search through any open-source code on the internet. Sadly, Google shut this down back in 2012. This new feature isn’t quite the same, though. It only allows you to search your own code — or that from other people in your company. It’s just as fast as Google’s own search, though, and allows you to use regular expressions and other advanced search features. One nifty feature here is that for Java, JavaScript, Go, C++, Python, TypeScript and Proto files, the tools will also return information on whether the match is a class, method, enum or field. Google argues that searching through code locally is not very efficient and means you are often looking at outdated code.

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Google brings vulnerability scanning to its Cloud Build CI/CD platform

Google today announced an important update to its Cloud Build CI/CD platform that brings vulnerability scanning to all container images built using the service. Container Registry vulnerability scanning, which is now in beta, is meant to ensure that as businesses adopt modern DevOps practices, the container they eventually deploy are free of known vulnerabilities. As Google rightly notes, the only way to ensure that security protocols are always followed is by automating the process. In this case, all new Cloud Build images are automatically scanned when Cloud Build creates an image and stores it in the Container Registry. The service uses the standard security databases to find new issues. Currently, the service can identify package vulnerabilities for  Ubuntu, Debian, and Alpine, with CentOS and RHEL support coming soon. When it finds an issue, the service will notify the user, but businesses can also set up automatic rules (using Pub/Sub notifications and Cloud Functions) to take actions automatically. Users also get detailed reports about the severity of the vulnerability, VCSS scores, which packages were affected and whether there’s a fix available already.

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Google launches new AI initiatives in Japan

It’s no surprise that Google used its Cloud Next 2018 event in Tokyo today — one of a number of international Cloud Next events that follow its flagship San Francisco conference — to announce a couple of new initiatives that specifically focus on the Japanese market. These announcements include a couple of basic updates like translating its  Machine Learning with TensorFlow on Google Cloud Platform  Coursera specialization, its Associate Cloud Engineer certification and fifty of its hands-on Qwiklabs into Japanese. In addition, Google is also launching an Advanced Solutions Lab in Tokyo as well. Previously Google opened similar labs in Dublin, Ireland, as well as Sunnyvale and New York. These labs offer a wide range of machine learning-centric training options, collaborative workspaces for teams that are part of the company’s four-week machine learning training program, and access to Google experts. (Photo by Hitoshi Yamada/NurPhoto via Getty Images) The company also today announced that it is working with Fast Retailing, the company behind brands like Uniqlo, to help it adopt new technologies. As its name implies, Fast Retailing would like to retail faster, so it’s looking at Google and its G Suite and machine learning tools to help it accelerate its growth. The code name for this project is ‘ Ariake .’ “Making information accessible to all our employees is one of the foundations of the Ariake project, because it empowers them to use human traits like logic, judgment, and empathy to make decisions,” says Tadashi Yanai, CEO of Fast Retailing. “We write business plans every season, and we use collaborative tools like G Suite make sure they’re available to all. Our work with Google Cloud has gone well beyond demand forecasting; it’s fundamentally changed the way we work together.”

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Google launches new AI initiatives in Japan

It’s no surprise that Google used its Cloud Next 2018 event in Tokyo today — one of a number of international Cloud Next events that follow its flagship San Francisco conference — to announce a couple of new initiatives that specifically focus on the Japanese market. These announcements include a couple of basic updates like translating its  Machine Learning with TensorFlow on Google Cloud Platform  Coursera specialization, its Associate Cloud Engineer certification and fifty of its hands-on Qwiklabs into Japanese. In addition, Google is also launching an Advanced Solutions Lab in Tokyo as well. Previously Google opened similar labs in Dublin, Ireland, as well as Sunnyvale and New York. These labs offer a wide range of machine learning-centric training options, collaborative workspaces for teams that are part of the company’s four-week machine learning training program, and access to Google experts. (Photo by Hitoshi Yamada/NurPhoto via Getty Images) The company also today announced that it is working with Fast Retailing, the company behind brands like Uniqlo, to help it adopt new technologies. As its name implies, Fast Retailing would like to retail faster, so it’s looking at Google and its G Suite and machine learning tools to help it accelerate its growth. The code name for this project is ‘ Ariake .’ “Making information accessible to all our employees is one of the foundations of the Ariake project, because it empowers them to use human traits like logic, judgment, and empathy to make decisions,” says Tadashi Yanai, CEO of Fast Retailing. “We write business plans every season, and we use collaborative tools like G Suite make sure they’re available to all. Our work with Google Cloud has gone well beyond demand forecasting; it’s fundamentally changed the way we work together.”

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