Identify and fix more errors with faster build times and quicker feedback for developers
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Author: avvenireadmin
DevOps at Microsoft: Driving engineering excellence
This video illustrates the ways the Microsoft One Engineering System (1ES) used Azure DevOps to pursue its mandate to empower every engineer in the company – from Azure Boards for work item tracking to Azure Pipelines for orchestrating builds and deployment, as well as other modern tooling adoption.
GE Aviation’s Digital Group makes the skies safer with Microsoft
As an industry leader in airline systems, GE Aviation’s Digital Group knows that safety and efficiency are paramount to its airline partners. That’s why GE developed FlightPulse, an app that puts data and analytics in the hands of more than 3,000 Qantas pilots to help them improve safety and efficiency on every flight. A solution this complex would typically take years to develop, but using Microsoft developer tools, GitHub, and Microsoft Azure, GE was able to build and deploy FlightPulse in a matter of months.
5 reasons happy developers build in better security
Good news for companies revamping DevOps: according to Forbes, “Happier developers work harder, collaborate more, and are better for business.” Citing an Oxford study, Forbes said that survey respondents revealed strong ties between job satisfaction and well-established, cohesive DevOps practices. Microsoft DevOps with GitHub is built for greater collaboration, control, flexibility, and security—a recipe for happiness. Read the article here and learn how investing in DevOps is investing in your organization’s future.
Deliver fast, efficient product innovation with a best-in-class build for open source.
Deliver fast, efficient product innovation with a best-in-class build for open source.
GEICO turbocharges insurance innovation in the cloud
By adopting a DevOps development strategy and transitioning development to Microsoft Azure, GEICO is working to engage customers more personally and dynamically. With the help of partner Applied Information Sciences, GEICO is moving to the cloud with a focus on increased efficiency, greater application availability, and lower costs.
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Not long ago, the main way that major research institutes obtained the computing power they needed for new or ongoing projects was to invest in computing infrastructure, which required significant upfront investments and led to ongoing IT costs to keep the research going.
By switching to cloud computing, research organizations have discovered that they can increase their computing performance without investing in new physical servers or on-site infrastructure. The benefits of the transition are obvious: faster publication times, substantially faster data analysis, significantly lower IT spending, and increased collaboration among researchers, all thanks to improved data sharing and security.
Subscribe now to learn more about how the cloud, artificial intelligence (AI), and the off-premises data management capabilities of Microsoft Azure are empowering organizations—research and otherwise—across the world.
ANU Large data sets and small budgets
Large upfront costs can severely limit the scope and scalability of important projects. With major research institutes that work on projects where substantial volumes of data need to be analyzed, the investment in computing infrastructure for data processing can be a major concern. They need a solution that can ensure the proper scalability of research projects and eliminate the inefficiencies of having to constantly update, upgrade, or downscale on-site servers to address the data needs of specific projects. Fortunately, cloud computing is having an enormous impact on how research is done across the globe.
Watch this video to learn how the elasticity and scalability of Microsoft Azure has allowed genome researchers at Australian National University to access only the computational resources they need while delivering results faster than ever before.
The AI Revolution Is Here – A Podcast And Interview With Nate Yohannes
Artificial Intelligence (AI) is the catalyst for the fourth industrial revolution, the most significant technological advancement thus far. AI has the potential to solve incredible challenges for all of humanity, including climate change, education, design, customer experiences, governance, and food. That said, among the biggest concerns regarding AI is the potential for unexpected and unintended consequences in building and deploying AI products.
According to Nate Yohannes, Principal Program Manager for Mixed Reality and AI Engineering at Microsoft, having appropriate representation at decision-making tables when building AI products is critical to help prevent these unfortunate scenarios. From his perspective, representation will go a long way toward preventing the unexpected consequences of AI products, and it will also guarantee that the products that are created will have the widest consumer base possible: everyone.
Listen to this podcast for an inspiring conversation about how to make the possible a reality by approaching AI with a new mindset that takes into consideration its full potential for improving the lives of everyone.
3 reasons to modernize your data estate
Organizations that modernize their data estate can reap major benefits, including enhanced security and compliance, significant cost savings, and the ability to empower employees via business insights and advanced analytics capabilities. Organizations that don’t, on the other hand, risk putting themselves behind the curve by missing out on game-changing cost benefits, leaving their businesses open to potential vulnerabilities, and by not taking advantage of modern analytics capabilities.
Read this infographic to learn how businesses are taking advantage of the latest technologies by modernizing their datasets to create transformational benefits throughout their organizations, and discover how they’re doing so by leveraging Microsoft Azure.
