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

Dynatrace

By automating OneAgent deployment at the image creation stage, organizations can immediately equip every EC2 instance with real-time monitoring and AI-powered analytics. By ingesting EventBridge events into the Dynatrace platform, customers can leverage AI-powered contextual insights to gain a deeper understanding of their cloud environments.

AWS 298
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Microsoft Azure Event Hubs

DZone

Introduction With big data streaming platform and event ingestion service Azure Event Hubs , millions of events can be received and processed in a single second. Any real-time analytics provider or batching/storage adaptor can transform and store data supplied to an event hub.

Azure 306
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What is security analytics?

Dynatrace

As a result, organizations are implementing security analytics to manage risk and improve DevSecOps efficiency. Fortunately, CISOs can use security analytics to improve visibility of complex environments and enable proactive protection. What is security analytics? Why is security analytics important? Here’s how.

Analytics 264
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RabbitMQ vs. Kafka: Key Differences

Scalegrid

RabbitMQ is designed for flexible routing and message reliability, while Kafka handles high-throughput event streaming and real-time data processing. Kafka is optimized for high-throughput event streaming , excelling in real-time analytics and large-scale data ingestion. What is RabbitMQ?

Latency 147
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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. What’s behind it all?

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Unlock log analytics: Seamless insights without writing queries

Dynatrace

Dynatrace automatically puts logs into context Dynatrace Log Management and Analytics directly addresses these challenges. Open a host, cluster, cloud service, or database view in one of these apps, and you immediately see logs alongside other relevant metrics, processes, SLOs, events, vulnerabilities, and data offered by the app.

Analytics 267
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Better dashboarding with Dynatrace Davis AI: Instant meaningful insights

Dynatrace

This is where Davis AI for exploratory analytics can make all the difference. The following example will monitor an end-to-end order flow utilizing business events displayed on a Dynatrace dashboard. Davis AI is particularly powerful because it can be applied to any numeric time series chart independently of data source or use case.

Traffic 262