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Automating DevOps practices fuels speed and quality

Dynatrace

Still, while DevOps practices enable developer agility and speed as well as better code quality, they can also introduce complexity and data silos. More seamless handoffs between tasks in the toolchain can improve DevOps efficiency, software development innovation, and better code quality. They need automated DevOps practices.

DevOps 261
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State and local agencies speed incident response, reduce costs, and focus on innovation

Dynatrace

The team can “catch more bugs and performance problems before the code is deployed to the production environment,” Smith said. This means that our development teams are spending less time fixing defects and more time writing new code. That’s why teams need a modern observability approach with artificial intelligence at its core.

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Fueling the next wave of IT operations: Modernization with generative AI

Dynatrace

Artificial intelligence, including more recent advances in generative AI , is becoming increasingly important as organizations look to modernize how IT operates. And for DevOps, it means accelerating DevOps processes, improving agility, and speeding time to market.

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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. Organizations must also be mindful of the potential security and compliance risks.

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Container monitoring for VA Platform One helps VA achieve workload performance

Dynatrace

Department of Veterans Affairs (VA) is packaging application code along with its libraries and dependencies within an executable software unit. In the development environment, you see exactly where in the pipeline security issues exist, and you can address them right there, so it speeds up development,” Fuqua said.

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Is Quality With Speed Really Possible in Software Testing?

DZone

Because they had their unit codes developed before the software testing tools went viral, the codes they developed were not tested in the initial phase, and the greater the size, the greater the damage! For many enterprises, it is difficult to do.

Speed 189
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The path to achieving unprecedented productivity and software innovation through ChatGPT and other generative AI

Dynatrace

For example, it can help DevOps and platform engineering teams write code snippets by drawing on information from software libraries. First, SREs must ensure teams recognize intellectual property (IP) rights on any code shared by and with GPTs and other generative AI, including copyrighted, trademarked, or patented content.