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Enable full observability for Linux on IBM Z mainframe now with logs

Dynatrace

Mainframe is a strong choice for hybrid cloud, but it brings observability challenges IBM Z is a mainframe computing platform chosen by many organizations with a hybrid cloud strategy because of its security, resiliency, performance, scalability, and sustainability.

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Automate complex metric-related use cases with the Metrics API version 2

Dynatrace

Dynatrace collects a huge number of metrics for each OneAgent-monitored host in your environment. Depending on the types of technologies you’re running on individual hosts, the average number of metrics is about 500 per computational node. Running metric queries on a subset of entities for live monitoring and system overviews.

Metrics 231
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How to overcome the cloud observability wall

Dynatrace

As cloud environments become increasingly complex, legacy solutions can’t keep up with modern demands. As a result, companies run into the cloud complexity wall – also known as the cloud observability wall – as they struggle to manage modern applications and gain multicloud observability with outdated tools.

Cloud 231
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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. Why monitor Azure Linux container host for AKS? Performance.

Azure 231
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What is log management? How to tame distributed cloud system complexities

Dynatrace

In cloud-native environments, there can also be dozens of additional services and functions all generating data from user-driven events. Metrics, logs , and traces make up three vital prongs of modern observability. Comparing log monitoring, log analytics, and log management. Most infrastructure and applications generate logs.

Systems 189
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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 214
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How digital experience monitoring helps deliver business observability

Dynatrace

Fast, consistent application delivery creates a positive user experience that can ultimately drive customer loyalty and improve business metrics like conversion rate and user retention. What is digital experience monitoring? Primary digital experience monitoring tools.