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Dynatrace simplifies OpenTelemetry metric collection for context-aware AI analytics

Dynatrace

Kubernetes teams lack simple, consistent, vendor-agnostic architectures for analyzing observability signals across teams. Kubernetes teams lack simple, consistent, vendor-agnostic architectures for analyzing observability signals across teams. Realizing the promise of OpenTelemetry is a challenge for most organizations.

Analytics 283
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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. Furthermore, the OS enables rapid deployment of containers as applications scale up or down in Kubernetes.

Azure 228
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Connect Fluentd logs with Dynatrace traces, metrics, and topology data to enhance Kubernetes observability

Dynatrace

Dynatrace news. Fluentd can run as a DaemonSet in a Kubernetes cluster. While Fluentd solves the challenges of collecting and normalizing Kubernetes events and logs, Kubernetes performance and availability problems can rarely be solved by investigating logs in isolation. What is Fluentd?

Metrics 182
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Accelerating innovation with Kubernetes and Dynatrace

Dynatrace

Dynatrace news. Today, everyone in the industry is “all-in” on Kubernetes – and for good reason. Running workloads on top of Kubernetes is significantly valuable, not just for application teams, but for infrastructure teams as well. A single source of truth.

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Prevent potential problems quickly and efficiently with Davis exploratory analysis

Dynatrace

SREs typically start their days with meetings to ensure that various stakeholders—such as clients, IT team leaders, Kubernetes platform operations team leaders, and business leaders—that their projects are developing smoothly. Just one click to your preventive analysis. Let’s look at an example related to Kubernetes.

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Kubernetes workload troubleshooting with metrics, logs, and traces

Dynatrace

Dynatrace news. There’s no lack of metrics, logs, traces, or events when monitoring your Kubernetes (K8s) workloads. But there is a lack of time for DevOps , SRE , and developers to analyze all this data to identify whether there’s a user impacting problem and if so – what the root cause is to fix it fast.

Metrics 220
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Dynatrace extends automatic and intelligent observability to cloud and Kubernetes logs for smarter automation at scale

Dynatrace

Dynatrace news. 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. Logs provide information you can’t find anywhere else.

Cloud 260