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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. What is Azure Linux? Why monitor Azure Linux container host for AKS?

Azure 220
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Expanded cloud-region coverage for Dynatrace Synthetic Monitoring

Dynatrace

Dynatrace Synthetic Monitoring , in combination with Real User Monitoring and Session Replay , makes Dynatrace the market-leading digital experience monitoring solution. With Synthetic Monitoring, you can easily check the availability and performance of your applications as well as your APIs. New Azure locations.

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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 202
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Maximized cloud-region coverage with Dynatrace Synthetic Monitoring

Dynatrace

Dynatrace Synthetic Monitoring , in combination with Real User Monitoring and Session Replay , makes Dynatrace the market-leading digital experience monitoring solution. With Synthetic Monitoring, you can easily check the availability and performance of your applications as well as your APIs. New Azure locations.

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What is OpenShift? And how to make OpenShift monitoring easy

Dynatrace

It offers automated installation, upgrades, and life cycle management throughout the container stack — the operating system, Kubernetes and cluster services, and applications — on any cloud. OpenShift empowers easy integration with leading CI/CD platforms, AI-powered performance monitoring solutions, and user-demand analysis tools.

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What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

Traditional computing models rely on virtual or physical machines, where each instance includes a complete operating system, CPU cycles, and memory. VMware commercialized the idea of virtual machines, and cloud providers embraced the same concept with services like Amazon EC2, Google Compute, and Azure virtual machines.

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How to overcome the cloud observability wall

Dynatrace

You may be using serverless functions like AWS Lambda , Azure Functions , or Google Cloud Functions, or a container management service, such as Kubernetes. Many customers try to use traditional tools to monitor and observe modern software stacks, but they struggle to deal with the dynamic and changing nature of cloud environments.

Cloud 220