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

Dynatrace

According to the recent Dynatrace report, “ The state of AI 2024 ,” 83% of technology leaders said AI has become mandatory to keep up with the dynamic nature of cloud environments. A key theme at Dynatrace Perform 2024 is the need for AI observability and AI data analysis to minimize the potential for skyrocketing AI costs.

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How observability, application security, and AI enhance DevOps and platform engineering maturity

Dynatrace

DevOps and platform engineering are essential disciplines that provide immense value in the realm of cloud-native technology and software delivery. Observability of applications and infrastructure serves as a critical foundation for DevOps and platform engineering, offering a comprehensive view into system performance and behavior.

DevOps 192
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Achieving High Availability in CI/CD With Observability

DZone

Editor's Note: The following is an article written for and published in DZone's 2024 Trend Report, The Modern DevOps Lifecycle: Shifting CI/CD and Application Architectures. Forbes estimates that cloud budgets will break all previous records as businesses will spend over $1 trillion on cloud computing infrastructure in 2024.

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Answer-driven DevOps automation: Automation use cases that accelerate insights

Dynatrace

As organizations mature on their digital transformation journey, they begin to realize that automation – specifically, DevOps automation – is critical for rapid software delivery and reliable applications. In turn, manual approaches to identifying code issues and troubleshooting are not scalable. This statistic is despite the $9.1

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Cloud Native Predictions for 2024

Percona

As we step into 2024, the cornerstone of cloud-native technology, Kubernetes, will turn ten years old. Predictions Multi-cloud is a requirement While this wave has been building for years, in 2024, we expect it to peak. We expect that number to rise higher in 2024. You mentioned ‘More Simple Kubernetes’?

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QCon London: Lessons Learned From Building LinkedIn’s AI/ML Data Platform

InfoQ

At the QCon London 2024 conference, Félix GV from LinkedIn discussed the AI/ML platform powering the company’s products. He specifically delved into Venice DB, the NoSQL data store used for feature persistence. By Rafal Gancarz

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Up your quality and agility factor – using automation to build “performance-as-a-self-service”

Dynatrace

By 2024, over 50% of all IT spending will be directly put towards digital transformation and innovation (up from 31% in 2018). For software engineering teams, this demand means not only delivering new features faster but ensuring quality, performance, and scalability too. Industry apps explosion.