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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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Black Hat 2023: Pairing causal AI and generative AI for cybersecurity threats

Dynatrace

Generative AI can boost organizational productivity. Based on large language models (LLMs), generative AI can help those in communication and creative fields to enable live chat between customer reps and consumers, to create product descriptions automatically and on the fly, or even to detect fraud in financial services settings.

DevOps 185
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Kubernetes for Big Data Workloads

Abhishek Tiwari

Kubernetes has been particularly successful with microservices and contemporary applications. In fact, if we go by current trends containerised microservices running on Kubernetes are the future. faster development and deployment cycles. faster development and deployment cycles. better cluster resource utilization.

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The top eight DevSecOps trends in 2022

Dynatrace

As businesses take steps to innovate faster, software development quality—and application security—have moved front and center. Indeed, according to one survey, DevOps practices have led to 60% of developers releasing code twice as quickly. This is fueling key DevSecOps trends in 2022. and 2.14.1.

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AIOps strategy central to proactive multicloud management

Dynatrace

This article includes key takeaways on AIOps strategy: Manual, error-prone approaches have made it nearly impossible for organizations to keep pace with the complexity of modern, multicloud environments. Today, operations and development teams need AI to get to the heart of problems and proactively address them. Dynatrace news.

Strategy 222