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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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Why you need Dynatrace on Azure Workloads

Dynatrace

Hopefully, this blog will explain ‘why,’ and how Microsoft’s Azure Monitor is complementary to that of Dynatrace. Do I need more than Azure Monitor? Azure Monitor features. Application Insights – Collects performance metrics of the application code. Available as an agent installer).

Azure 139
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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. .

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

Dynatrace

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. Observability is typically achieved by collecting three types of data from a system, metrics, logs and traces.

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Driving your FinOps strategy with observability best practices

Dynatrace

For example, poorly written code can consume a lot of resources, or an application can make unnecessary calls to cloud services. Hyperscaler cloud service providers such as AWS, Microsoft Azure, and Google Cloud Platform can do this, too. Suboptimal architecture design. Poorly designed cloud solutions can become costly over time.

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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. Dynatrace news. Collecting data requires massive and ongoing configuration efforts.

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Flow Metrics: Three Anti-Patterns to Avoid

Tasktop

Flow Metrics are a major pillar of how we measure improvement in value streams. . As organizations begin to adopt Flow Metrics , our natural tendencies emerge to massage the newfound visibility to make the metrics “look good”. Flow Metrics anti-pattern: Excluding part of the value stream. Chop up the value stream.

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