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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? Performance.

Azure 220
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Dynatrace SaaS on Azure now Generally Available

Dynatrace

In September, we announced the availability of the Dynatrace Software Intelligence Platform on Microsoft Azure as a SaaS solution and natively in the Azure portal. Today, we are excited to provide an update that Dynatrace SaaS on Azure is now generally available (GA) to the public through Dynatrace sales channels.

Azure 318
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No need to compromise visibility in public clouds with new Azure services supported by Dynatrace (Part 2)

Dynatrace

This is the second part of our blog series announcing the massive expansion of our Azure services support. Part 1 of this blog series looks at some of the key benefits of Azure DB for PostgreSQL, Azure SQL Managed Instance, and Azure HDInsight. Azure Logic Apps. Azure Container Instance.

Azure 151
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Build and operate multicloud FaaS with enhanced, intelligent end-to-end observability

Dynatrace

In this blog post, we will discuss some of these challenges and how to overcome them. These functions are executed by a serverless platform or provider (such as AWS Lambda, Azure Functions or Google Cloud Functions) that manages the underlying infrastructure, scaling and billing. What are serverless applications?

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Why you need Dynatrace on Azure Workloads

Dynatrace

With the increase in the adoption of cloud technologies, there’s now a huge demand for monitoring cloud-native applications, including monitoring both the cloud platform and the applications themselves. Hopefully, this blog will explain ‘why,’ and how Microsoft’s Azure Monitor is complementary to that of Dynatrace.

Azure 135
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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

This blog post explores how AI observability enables organizations to predict and control costs, performance, and data reliability. 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.

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Dynatrace extends automatic and intelligent observability to cloud and Kubernetes logs for smarter automation at scale

Dynatrace

Leveraging cloud-native technologies like Kubernetes or Red Hat OpenShift in multicloud ecosystems across Amazon Web Services (AWS) , Microsoft Azure, and Google Cloud Platform (GCP) for faster digital transformation introduces a whole host of challenges. Now, Dynatrace applies Davis, its AI engine, to monitor the new log sources.

Cloud 256