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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 226
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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 227
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Weighing a microservices approach means covering all architecture bases

Dynatrace

As the demand for services grows and containerized applications deploy across multicloud environments, organizations need a more flexible, cohesive approach for designing and developing a distributed systems architecture. Experienced developers see microservice design patterns as more platform-agnostic. Serverless platforms.

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OpenShift vs. Kubernetes: Understanding the differences

Dynatrace

According to the Kubernetes in the Wild 2023 report, “Kubernetes is emerging as the operating system of the cloud.” ” In recent years, cloud service providers such as Amazon Web Services, Microsoft Azure, IBM, and Google began offering Kubernetes as part of their managed services. Ease of use.

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PREVIEW : SentryOne Plan Explorer Extension for Azure Data Studio

SQL Performance

Last year, I got together with one of my dev teams at SentryOne – they call themselves the SQL Injectors – to talk about the possibility of replicating Plan Explorer functionality inside of Azure Data Studio. First, ensure you meet our requirements: Azure Data Studio 1.9.0 or newer ( July announcement post ).NET or better).

Azure 90
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How to overcome the cloud observability wall

Dynatrace

You may be using serverless functions like AWS Lambda , Azure Functions , or Google Cloud Functions, or a container management service, such as Kubernetes. When an application runs on a single large computing element, a single operating system can monitor every aspect of the system.

Cloud 226
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Mastering Kubernetes with Dynatrace

Dynatrace

When operating an application, it’s helpful to have deeper insights that show you what’s really going on. To make this possible, the application code should be instrumented with telemetry data for deep insights, including: Metrics to find out how the behavior of a system has changed over time. OneAgent and its Operator .

Analytics 240