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Microsoft Ignite 2024 guide: Cloud observability for AI transformation

Dynatrace

Adopting AI to enhance efficiency and boost productivity is critical in a time of exploding data, cloud complexities, and disparate technologies. Dynatrace delivers AI-powered, data-driven insights and intelligent automation for cloud-native technologies including Azure.

Cloud 263
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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. UMELT are kept cost-effectively in a massive parallel processing data lakehouse, enabling contextual analytics at petabyte scale, fast.

Analytics 289
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Dynatrace proud to receive the Ally Technology Velocity with Quality award

Dynatrace

We’re proud to announce that Ally Financial has presented Dynatrace with its Ally Technology Velocity with Quality award. This is the second time Ally Financial has presented its Ally Technology Partner Awards. These criteria include operational excellence, security and data privacy, speed to market, and disruptive innovation.

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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. The result?

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Advanced analytics: Leverage edge IoT data with OpenTelemetry and Dynatrace

Dynatrace

As businesses increasingly embrace these technologies, integrating IoT metrics with advanced observability solutions like Dynatrace becomes essential to gaining additional business value through end-to-end observability. The ADS-B protocol differs significantly from web technologies. Sample JSON data is shown below: Figure 4.

IoT 264
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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 analytics? Log analytics is the process of evaluating and interpreting log data so teams can quickly detect and resolve issues.

Analytics 264
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Optimize mobile app performance, adoption, and conversions with Session Replay and business analytics

Dynatrace

New technologies like Xamarin or React Native are accelerating the speed at which organizations release new features and unlock market reach. How do I connect the dots between mobile analytics and performance monitoring? How do I ensure observability at scale across all major mobile technologies? Dynatrace news.

Analytics 276