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GitLab Acquires UnReview to Further AI Ambitions - DevOps.com

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GitLab announced this week it has acquired UnReview, a provider of a tool that employs machine learning algorithms to both identify which expert code reviewers to assign to a project based on the quality of their previous efforts and current workloads. David DeSanto, senior director for product management at GitLab, said the acquisition of UnReview is the latest step in an AI strategy that, in addition to optimizing DevOps processes, will also eventually unify machine learning operations (MLOps) and DevOps workflows. Accessed via the Dev section of the GitLab platform, UnReview will also be employed to manage the overall code review process. DeSanto said GitLab is committed to employing AI technologies to automate workflows and compressing cycle times across all stages of the DevSecOps life cycle. The goal is to not eliminate the need for DevOps teams but rather eliminate low-level tasks that conspire to hamper productivity, while at the same time improving application security, noted DeSanto.


The future of DevOps: 21 predictions for 2021

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One of the most amazing dynamics within the DevOps enterprise community is seeing business leaders co-presenting success stories with their technology leadership counterparts. For example, Ken Kennedy (executive vice president and president for Technology and Product at CSG) and Kimberly Johnson (chief operating officer at Fannie Mae) described the achievements of their technology leadership counterparts and why it was important to them. I expect this trend to continue, especially given how COVID-19 has accelerated the rate of digital disruption. I believe this bodes well for all of technology. With the rise of hybrid (remote/in-office) product teams, upskilling and online training initiatives will expand.


GitLab acquires UnReview as it looks to bring more ML tools to its platform โ€“ TechCrunch

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DevOps platform GitLab today announced that it has acquired UnReview, a machine learning-based tool that helps software teams recommend the best reviewers for when developers want to check in their latest code. GitLab, which is looking to bring more of these machine learning capabilities to its platform, will integrate UnReview's capabilities into its own code review workflow. The two companies did not disclose the price of the acquisition. "Last year we decided that the future of DevOps includes ML/AI, both within the DevOps lifecycle as well as the growth of adoption of ML/AI with our customers," David DeSanto, GitLab's senior director, Product Management โ€“ Dev & Sec, told me. He noted that when GitLab recently surveyed its customers, 75% of the teams said they are already using AI/ML.


DevOps security pros share steps for success

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There are plenty of tools for DevOps security -- it's getting teams to use them, and use them effectively, that's the challenge. DevOps security, sometimes called DevSecOps, usually includes the concept of "shifting left" -- moving security testing into the early phases of software development, rather than assessing code security just before production deployment. It also usually involves teaching developers to code securely from the start. Instilling skills and promoting procedures among people isn't as straightforward as installing a piece of software on a machine, but there are still best practices that can help. Above all, patience is required, according to IT pros who have successfully established DevOps security practices at large companies.


The Launch of GitLab 13.1: Automated DevOps Management & QC Filters

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The world's most powerful web-based DevOps lifecycle tool GitLab has released GitLab 13.1 to track coding quality and to stay compliant with the dynamic needs of the DevOps world. GitLab 13.1 is now officially available with extended Alert Management and Automated Coding Reporting features. Those who follow GitLab closely would agree that its acquisition of Gemnasium in 2018 has helped further fortify the security and compliance in open source. The smartest enhancement in GitLab 13.1 is Alert Management; to maintain a record of all application maintenance and to address critical issues in real-time. Simplified Alert Management, Alert Assignments and Slack integration enhance DevOps productivity with faster collaboration and just-in-time principles.