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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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Expanded cloud-region coverage for Dynatrace Synthetic Monitoring

Dynatrace

Therefore, it’s imperative that you ensure the continuous availability and high performance of your applications from your end users’ point of view. With Synthetic Monitoring, you can easily check the availability and performance of your applications as well as your APIs. New AWS locations. New Azure locations.

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Kubernetes in the wild report 2023

Dynatrace

As Kubernetes adoption increases and it continues to advance technologically, Kubernetes has emerged as the “operating system” of the cloud. Kubernetes is emerging as the “operating system” of the cloud. Kubernetes is emerging as the “operating system” of the cloud. Kubernetes moved to the cloud in 2022.

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Mastering Kubernetes with Dynatrace

Dynatrace

Dynatrace AWS monitoring gives you an overview of the resources that are used in your AWS infrastructure along with their historical usage. And because Dynatrace can consume CloudWatch metrics, almost all your AWS usage information is available to you within Dynatrace. OneAgent and its Operator .

Analytics 234
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Maximized cloud-region coverage with Dynatrace Synthetic Monitoring

Dynatrace

Therefore, it’s imperative that you ensure the continuous availability and high performance of your applications from your end users’ point of view. With Synthetic Monitoring, you can easily check the availability and performance of your applications as well as your APIs. New AWS locations. New Azure locations.

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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. When an application runs on a single large computing element, a single operating system can monitor every aspect of the system.

Cloud 220
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Why log monitoring and log analytics matter in a hyperscale world

Dynatrace

Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes. A log is a detailed, timestamped record of an event generated by an operating system, computing environment, application, server, or network device.

Analytics 202