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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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Dynatrace AI-powered, unified observability is coming to Google Cloud

Dynatrace

Organizations are increasingly embracing cloud- and AI-native strategies, requiring a more automated and intelligent approach to their observability and development practices. Thats why Dynatrace will make its AI-powered, unified observability platform generally available on Google Cloud for all customers later this year.

Google 195
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New continuous compliance requirements drive the need to converge observability and security

Dynatrace

Leverage AI for proactive protection: AI and contextual analytics are game changers, automating the detection, prevention, and response to threats in real time. For executives, these directives present several challenges, including compliance complexity, resource allocation for continuous monitoring, and incident reporting.

Analytics 289
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How executives reveal breakthrough insights into customer experiences with Dynatrace to accelerate business growth

Dynatrace

Recently, we’ve expanded our digital experience monitoring to cover the entire customer journey, from conversion to fulfillment. Key insights for executives: Optimize customer experiences through end-to-end contextual analytics from observability, user behavior, and business data. Google or Adobe Analytics).

Analytics 286
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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. What is log monitoring? What is log analytics? Dynatrace news. In fact, the global log management market is expected to grow from 1.9

Analytics 264
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The keys to selecting a platform for end-to-end observability

Dynatrace

DevOps and security teams managing today’s multicloud architectures and cloud-native applications are facing an avalanche of data. On average, organizations use 10 different tools to monitor applications, infrastructure, and user experiences across these environments.

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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.