Remove Artificial Intelligence Remove DevOps Remove Software Remove Speed
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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. Dynatrace news.

DevOps 267
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State and local agencies speed incident response, reduce costs, and focus on innovation

Dynatrace

Kailey Smith, application architect on the DevOps team for Minnesota IT Services (MNIT), discussed her experience with an outage that left her and her peers to play defense and fight fires. It helps our DevOps team respond and resolve systems’ problems faster,” Smith said. Dynatrace truly helps us do more with less.

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The path to achieving unprecedented productivity and software innovation through ChatGPT and other generative AI

Dynatrace

ChatGPT and generative AI: A new world of innovation Software development and delivery are key areas where GPT technology such as ChatGPT shows potential. For example, it can help DevOps and platform engineering teams write code snippets by drawing on information from software libraries.

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What is digital immunity? Creating secure, resilient software with observability

Dynatrace

Why organizations are turning to software development to deliver business value. Digital immunity has emerged as a strategic priority for organizations striving to create secure software development that delivers business value. Software development success no longer means just meeting project deadlines.

Software 195
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The state of AI in 2024: Overcoming adoption challenges to unlock organizational success

Dynatrace

Artificial intelligence (AI) has revolutionized the business and IT landscape. For example, nearly two-thirds (61%) of technology leaders say they will increase investment in AI over the next 12 months to speed software development. This means greater productivity for individual teams.

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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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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. DevOps/DevSecOps with AWS. Observability with AWS and beyond.

AWS 228