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Dynatrace EdgeConnect securely connects your local systems to Dynatrace SaaS

Dynatrace

EdgeConnect facilitates seamless interaction, ensuring data security and operational efficiency. In this hybrid world, IT and business processes often span across a blend of on-premises and SaaS systems, making standardization and automation necessary for efficiency.

Systems 220
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Artificial Intelligence in Cloud Computing

Scalegrid

This article delves into the specifics of how AI optimizes cloud efficiency, ensures scalability, and reinforces security, providing a glimpse at its transformative role without giving away extensive details. Using AI for Enhanced Cloud Operations The integration of AI in cloud computing is enhancing operational efficiency in several ways.

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What is platform engineering?

Dynatrace

Many consider it an effective solution for improving efficiency and overall satisfaction for developers across a variety of organizations and industries. A platform encompasses a set of tools, services, and infrastructure that enables developers to build, test, and deploy software applications.

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Dynatrace adds monitoring support for Microsoft Azure Kubernetes Service deployments using Azure Linux container host

Dynatrace

Dynatrace is proud to provide deep monitoring support for Azure Linux as a container host operating system (OS) platform for Azure Kubernetes Services (AKS) to enable customers to operate efficiently and innovate faster. Microsoft initially designed the OS for internal use to develop and manage Azure services. What is Azure Linux?

Azure 227
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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

Data dependencies and framework intricacies require observing the lifecycle of an AI-powered application end to end, from infrastructure and model performance to semantic caches and workflow orchestration. Estimates show that NVIDIA, a semiconductor manufacturer, could release 1.5 million AI server units annually by 2027, consuming 75.4+

Cache 204
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Driving your FinOps strategy with observability best practices

Dynatrace

In a Dynatrace Perform 2024 session, Kristof Renders, director of innovation services, discussed how a stronger FinOps strategy coupled with observability can make a significant difference in helping teams to keep spiraling infrastructure costs under control and manage cloud spending. Suboptimal architecture design.

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Supporting Diverse ML Systems at Netflix

The Netflix TechBlog

Berg , Romain Cledat , Kayla Seeley , Shashank Srikanth , Chaoying Wang , Darin Yu Netflix uses data science and machine learning across all facets of the company, powering a wide range of business applications from our internal infrastructure and content demand modeling to media understanding.

Systems 226