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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 261
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DevOps orchestration breaks quality-speed stalemate in SDLC

Dynatrace

DevOps orchestration is essential for development teams struggling to balance speed with quality. Why DevOps orchestration needs cloud automation. They may also work with a variety of tools that create a fragmented, siloed, and manual environment that slows innovation and impedes code quality. Dynatrace news.

DevOps 184
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DevOps automation: We’re only halfway there

Dynatrace

Digital transformation has significantly increased the organizational demand to innovate faster. But with many organizations relying on traditional, manual processes to ensure service reliability and code quality, software delivery speed suffers. Automation is a crucial aspect of achieving DevOps excellence.

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How Park ‘N Fly innovates with IT automation, AIOps, and observability

Dynatrace

IT automation speeds code development. Ultimately, better infrastructure management enables organizations like Park ‘N Fly to innovate through software. To do so, organizations often succumb to a “hamster wheel” of having to release code more quickly to innovate effectively.

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

Dynatrace

‘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. Causal AI is critical to feed quality data inputs to the algorithms that underpin generative AI.

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Perform 2023 Guide: Organizations mine efficiencies with automation, causal AI

Dynatrace

They now use modern observability to monitor expanding cloud environments in order to operate more efficiently, innovate faster and more securely, and to deliver consistently better business results. IT pros need a data and analytics platform that doesn’t require sacrifices among speed, scale, and cost.

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Dynatrace study: How your peers use cloud automation to innovate faster (Part 1)

Dynatrace

Over the last year we’ve seen more and more Dynatrace customers move from DevOps to NoOps. These organizations have built automation into their DevOps environments to a degree that there is no longer a need for a traditional Ops team to manage software in-house. In this blog series we’ll share what we’ve learned so far.