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Automating DevOps practices fuels speed and quality

Dynatrace

Takeaways from this article on DevOps practices: DevOps practices bring developers and operations teams together and enable more agile IT. Still, while DevOps practices enable developer agility and speed as well as better code quality, they can also introduce complexity and data silos. They need automated DevOps practices.

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Why business digital transformation is still a key C-level priority today

Dynatrace

AI and DevOps, of course The C suite is also betting on certain technology trends to drive the next chapter of digital transformation: artificial intelligence and DevOps. DevOps methodology—which brings development and ITOps teams together—also forwards digital transformation. And according to Statista , $2.4

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Top 7 Automated Testing Trends of 2022

DZone

Automated testing has evolved to accelerate speedy software releases at the highest quality. It has proven to be a smart game-changer by enhancing QA procedures and scaling up software development productivity. It has proven to be a smart game-changer by enhancing QA procedures and scaling up software development productivity.

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Dynatrace Perform 2022: Themes to watch at Dynatrace’s annual conference

Dynatrace

As strained IT, development, and security teams head into 2022, the pressure to deliver better, more secure software faster has never been more consequential. Technology that helps teams securely regain control of complex, dynamic, ever-expanding cloud environments can be game-changing.

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AWS Re:Invent 2021 guide: Multicloud modernization and digital transformation

Dynatrace

Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. Its approach to serverless computing has transformed DevOps. When Amazon launched AWS Lambda in 2014, it ushered in a new era of serverless computing.

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Dynatrace Perform 2024 Guide: Deriving business value from AI data analysis

Dynatrace

AI data analysis can help development teams release software faster and at higher quality. Composite’ AI, platform engineering, AI data analysis through custom apps This focus on data reliability and data quality also highlights the need for organizations to bring a “ composite AI ” approach to IT operations, security, and DevOps.

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What is AIOps? Everything you wanted to know

Dynatrace

Artificial intelligence for IT operations (AIOps) is an IT practice that uses machine learning (ML) and artificial intelligence (AI) to cut through the noise in IT operations, specifically incident management. Dynatrace news. But what is AIOps, exactly? And how can it support your organization? What is AIOps?