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Artificial Intelligence in Cloud Computing

Scalegrid

The partnership between AI and cloud computing brings about transformative trends like enhanced security through intelligent threat detection, real-time analytics, personalization, and the implementation of edge computing for quicker on-site decision-making. Key among these trends is the emphasis on security and intelligent analytics.

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What is container orchestration?

Dynatrace

Within every industry, organizations are accelerating efforts to modernize IT capabilities that increase agility, reduce complexity, and foster innovation. But managing the deployment, modification, networking, and scaling of multiple containers can quickly outstrip the capabilities of development and operations teams.

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What is cloud application security?

Dynatrace

If your app runs in a public cloud, such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP), the provider secures the infrastructure, while you’re responsible for security measures within applications and configurations. What are some key characteristics of securing cloud applications?

Cloud 177
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Why log monitoring and log analytics matter in a hyperscale world

Dynatrace

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes.

Analytics 209
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The Amazing Evolution of In-Memory Computing

ScaleOut Software

They transparently distribute stored objects across the cluster’s servers and ensure that data is not lost if a server or network component fails. In the next few years, we should continued innovation from in-memory computing to help ecommerce and other applications maintain their competitive edge.

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The Amazing Evolution of In-Memory Computing

ScaleOut Software

They transparently distribute stored objects across the cluster’s servers and ensure that data is not lost if a server or network component fails. In the next few years, we should continued innovation from in-memory computing to help ecommerce and other applications maintain their competitive edge.

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What is a Distributed Storage System

Scalegrid

By breaking up large datasets into more manageable pieces, each segment can be assigned to various network nodes for storage and management purposes. These systems safeguard against the risk of data loss due to hardware failure or network issues by spreading data across multiple nodes.

Storage 130