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Container monitoring for VA Platform One helps VA achieve workload performance

Dynatrace

Dynatrace container monitoring supports customers as they collect metrics, traces, logs, and other observability-enabled data to improve the health and performance of containerized applications. VAPO is available in both Microsoft Azure and AWS. It’s an enterprise product that we use to help modernize the VA,” Fuqua said.

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Why you need Dynatrace on Azure Workloads

Dynatrace

With the increase in the adoption of cloud technologies, there’s now a huge demand for monitoring cloud-native applications, including monitoring both the cloud platform and the applications themselves. Hopefully, this blog will explain ‘why,’ and how Microsoft’s Azure Monitor is complementary to that of Dynatrace.

Azure 138
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What is observability? Not just logs, metrics and traces

Dynatrace

In IT and cloud computing, observability is the ability to measure a system’s current state based on the data it generates, such as logs, metrics, and traces. What is the difference between monitoring and observability? Is observability really monitoring by another name? What is observability? In short, no.

Metrics 363
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AWS re:Invent 2023 guide: Generative AI takes a front seat

Dynatrace

Causal AI is an artificial intelligence technique used to determine the precise underlying causes and effects of events. Using What is artificial intelligence? So, what is artificial intelligence? To solve this problem, organizations can use causal AI and predictive AI to provide that high-quality input.

AWS 211
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Generative AI model observability, cloud modernization take center stage with partners at Dynatrace Perform 2024

Dynatrace

At this year’s Perform, we are thrilled to have our three strategic cloud partners, Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), returning as both sponsors and presenters to share their expertise about cloud modernization and observability of generative AI models.

Cloud 214
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Why log monitoring and log analytics matter in a hyperscale world

Dynatrace

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes.

Analytics 211
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Modern observability is no longer optional on the path to digital transformation

Dynatrace

That’s why, in part, major cloud providers such as Amazon Web Services, Microsoft Azure, and Google Cloud Platform are discussing cloud optimization. Traditional cloud monitoring methods can no longer scale to meet organizations’ demands, as multicloud architectures continue to expand.