Top seven tips for faster application development with DevOps

DevOps can help teams of any size develop, fix, and deploy software faster. By having faster application development, faster updates, and faster shipments, development lifecycles are shortened. It's no wonder organizations across all vertical markets and global geographies have embraced DevOps. Along with collaboration, the ability to integrate DevOps efforts with the widest array of tools possible is a cornerstone to success. Read these 7 in-depth insights on faster application development with DevOps, then contact us to learn more about the flexibility of Microsoft DevOps with GitHub and Azure.

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Get started with GitHub and Azure DevOps

Adopting the tools and mindset of DevOps in the right manner will facilitate development efficiency, boost productivity, and increase the rate at which products can be brought to market. These helpful tips will get you on your way to gaining powerful design capabilities, innovation, acceleration, and more with GitHub and Azure.

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Drive innovation with insights: engage customers, empower employees, and transform business solutions

Drive innovation with insights to engage customers, empower employees, and transform business solutions.

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DevOps with GitHub Solution Overview Video

Developers are at the core of innovation. Stand out in a competitive market by leveraging open-source software and delivering fast, efficient product innovation. Learn how Microsoft can help.

Intelligent, Trusted, Flexible

This infographic offers an in-depth look at how Microsoft business analytics and AI is intelligent, trusted, and flexible. This service produces faster, more accurate insights and predictions. It also offers the most secure, compliant, and scalable system. Finally, it works with what you have.

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Improve performance with faster, more accurate insights and predictions

Microsoft Analytics and AI takes innovation to the next level with faster, more accurate insights and predictions. Subscribe now to stay informed!

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Analytics and AI Microsoft Principles

This infographic details the Microsoft philosophy toward responsible and ethical AI through a set of core principles. These principles include maximizing efficiencies without destroying the dignity of people and guarding against bias. Additionally, it advocates for accountability against intended harm, transparency, privacy, and design that assists humanity.

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Security Analytics and Operations: Industry Trends in the Era of Cloud Computing

Turn your organization to cloud-based security and address data capacity and infrastructure requirements to solve cloud challenges. Subscribe here!

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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.