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New integrations announced at AWS re:Invent enhance cloud performance, security, and automation

Dynatrace

The rapid evolution of cloud technology continues to shape how businesses operate and compete. This year’s AWS re:Invent will showcase a suite of new AWS and Dynatrace integrations designed to enhance cloud performance, security, and automation.

AWS 298
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Part 1: A Survey of Analytics Engineering Work at Netflix

The Netflix TechBlog

This article is the first in a multi-part series sharing a breadth of Analytics Engineering work at Netflix, recently presented as part of our annual internal Analytics Engineering conference. Subsequent posts will detail examples of exciting analytic engineering domain applications and aspects of the technical craft.

Analytics 212
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Helping customers unlock the Power of Possible

Dynatrace

The Dynatrace platform automatically captures and maps metrics, logs, traces, events, user experience data, and security signals into a single datastore, performing contextual analytics through a “power of three AI”—combining causal, predictive, and generative AI.

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Dynatrace elevates data security with separated storage and unique encryption keys for each tenant

Dynatrace

Dynatrace continues to deliver on its commitment to keeping your data secure in the cloud. Tenant data separation in Dynatrace Currently, the enhanced tenant data separation and encryption feature is activated by default for all Dynatrace SaaS customers on AWS using the latest version of Dynatrace SaaS.

Storage 246
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Unlock the power of contextual log analytics

Dynatrace

Enterprises are turning to Dynatrace for its unified observability approach for cloud-native, on-premises, and hybrid resources. The Clouds app provides a view of all available cloud-native services. This is explained in detail in our blog post, Unlock log analytics: Seamless insights without writing queries.

Analytics 304
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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 246
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Simplify complex cloud-native environments with AI-driven observability

Dynatrace

The complexity of modern cloud-native environments is ever-increasing. Visualizing data in context while supporting and automating decisions with causal, predictive, and generative AI—all while providing a seamless experience—is where the future of cloud observability lies.

Cloud 299