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Dynatrace and Google Cloud: Intelligent Kubernetes observability and automation

Dynatrace

However, with these benefits come complexities in terms of cloud management, Kubernetes observability, and automation, making it imperative for enterprises to address these intricacies to enhance reliability, performance, and resource usage. So many tools can result in data inconsistencies. So many tools can result in data inconsistencies.

Google 231
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Cloud observability delivers on business value

Dynatrace

Cloud observability can bring business value, said Rick McConnell, CEO at Dynatrace. Organizations have clearly experienced growth, agility, and innovation as they move to cloud computing architecture. But without effective cloud observability, they continue to experience challenges in their cloud environments.

Cloud 227
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Sustainable IT: Optimize your hybrid-cloud carbon footprint

Dynatrace

How can you reduce the carbon footprint of your hybrid cloud? Evaluating these on three levels—data center, host, and application architecture (plus code)—is helpful. This is a rather simple move as it doesn’t directly impact your infrastructure, just your contract with your electricity provider.

Cloud 214
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Five-nines availability: Always-on infrastructure delivers system availability during the holidays’ peak loads

Dynatrace

But as more organizations adopt cloud-native technologies and distribute workloads among multicloud environments, that goal seems harder to attain. In fact, a recent survey found that many cloud applications are vulnerable to outages , despite growing confidence in cloud platforms and services. What is always-on infrastructure?

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Dynatrace observability is now available for Red Hat OpenShift on the IBM® Power® architecture

Dynatrace

We’re delighted to share that IBM and Dynatrace have joined forces to bring the Dynatrace Operator, along with the comprehensive capabilities of the Dynatrace platform, to Red Hat OpenShift on the IBM Power architecture (ppc64le). Captures metrics, traces, logs, and other telemetry data in context.

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How to overcome the cloud observability wall

Dynatrace

As cloud environments become increasingly complex, legacy solutions can’t keep up with modern demands. As a result, companies run into the cloud complexity wall – also known as the cloud observability wall – as they struggle to manage modern applications and gain multicloud observability with outdated tools.

Cloud 231
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Accelerate your cloud journey with Dynatrace observability for AWS S3 logs

Dynatrace

Logs complement metrics and enable automation Cloud practitioners agree that observability, security, and automation go hand in hand. The increasing complexity of cloud service architectures requires a rock-solid understanding of the activity, health status, and security of cloud services.

AWS 204