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Full visibility into your serverless applications with AI-powered Azure Functions monitoring (GA)

Dynatrace

x runtime versions of Azure Functions running in an Azure App Service plan. This gives you deep visibility into your code running in Azure Functions, and, as a result, an understanding of its impact on overall application performance and user experience. Azure Functions in a nutshell. Optimize timing hotspots.

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The road to observability demo part 3: Collect, instrument, and analyze telemetry data automatically with Dynatrace

Dynatrace

We also introduced our demo app and explained how to define the metrics and traces it uses. The second part, The road to observability with OpenTelemetry part 2: Setting up OpenTelemetry and instrumenting applications , covers the details of how to set up OpenTelemetry in our demo application and how to instrument the services.

Metrics 173
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The right person at the right time makes all the difference: Best practices for ownership information

Dynatrace

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. Dynatrace ownership functionality supports configuration-as-code via its proprietary Monaco (Monitoring as code) CLI or Terraform. Contact us to schedule a demo.

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Full visibility into your serverless applications with AI-powered Azure Functions monitoring (GA)

Dynatrace

x runtime versions of Azure Functions running in an Azure App Service plan. This gives you deep visibility into your code running in Azure Functions, and, as a result, an understanding of its impact on overall application performance and user experience. Azure Functions in a nutshell. Optimize timing hotspots.

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

Dynatrace

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. You can now simplify cloud operations with automated observability into the performance of your Azure cloud platform services in context with the performance of your applications. .

Azure 132
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DevOps engineer tools: Deploy, test, evaluate, repeat

Dynatrace

DevOps teams are responsible for all phases of the software development lifecycle, from code commit to the deployment of products and services. Version control system and source code management with end-to-end DevOps platform and cloud-hosted Git services. Infrastructure as code (IaC) configuration management tool.

DevOps 193
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What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

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. You’ll benefit from serverless computing when: Authenticating users (for example, Okta , Azure Active Directory ).