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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? Resource utilization management.

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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. Fully automated observability into your Azure multi-cloud environment.

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Improve your cloud deployments with automated observability into your Azure Deployment Slots

Dynatrace

As a developer, you often want to deploy different application versions to different environments, for example to differentiate between your production and staging application instances. With Azure Deployment Slots, a feature of the Azure App Service, you can create one or more slots that can host different versions of your app.

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The right person at the right time makes all the difference: Best practices for ownership information

Dynatrace

The automated extraction of ownership information, for example, from Kubernetes annotations, is therefore essential. As teams and their structure and metadata are often maintained in a dedicated database, such as Microsoft Entra ID (formerly Azure Active Directory) or ServiceNow.

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Using Azure Front Door for Eliminating Preflight Calls (CORS)

DZone

Assume you have a frontend website hosted on [link] Some JavaScript code from your website is trying to access an API hosted on [link] This is an example of Cross-Origin Resource Sharing because the requesting domain and the resource domain are different.

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

Dynatrace

For example, to handle traffic spikes and pay only for what they use. 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. and GoLang to reduce the necessary boilerplate code to a minimum.

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Support for Azure Functions

Particular Software

Microsoft Azure Functions provide a simple way to run your code in the Azure Cloud. They are easy to deploy, scale automatically, and provide many out-of-the-box ways to trigger your code. Rather than pay for an entire virtual machine, you only pay for compute while your code is being executed.

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