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

Dynatrace

This year’s AWS re:Invent will showcase a suite of new AWS and Dynatrace integrations designed to enhance cloud performance, security, and automation. By automating OneAgent deployment at the image creation stage, organizations can immediately equip every EC2 instance with real-time monitoring and AI-powered analytics.

AWS 298
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OpenPipeline: Simplify access to critical business data

Dynatrace

Metadata enrichment improves collaboration and increases analytic value. The Dynatrace® platform continues to increase the value of your data — broadening and simplifying real-time access, enriching context, and delivering insightful, AI-augmented analytics. Our Business Analytics solution is a prominent beneficiary of this commitment.

Analytics 241
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The top four log analytics and log management best practices

Dynatrace

By following key log analytics and log management best practices, teams can get more business value from their data. Challenges driving the need for log analytics and log management best practices As organizations undergo digital transformation and adopt more cloud computing techniques, data volume is proliferating.

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Powerful exploratory analytics for AI-driven insights

Dynatrace

This necessitates a comprehensive platform that empowers enterprises to understand IT and software within the broader context of their business operations, giving them confidence that their software and IT infrastructure are reliable. AI-driven analytics transform data analysis, making it faster and easier to uncover insights and act.

Analytics 130
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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. You can easily pivot between a hot Kubernetes cluster and the log file related to the issue in 2-3 clicks in these Dynatrace® Apps: Infrastructure & Observability (I&O), Databases, Clouds, and Kubernetes.

Analytics 267
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Unlock the power of contextual log analytics

Dynatrace

For instance, in a Kubernetes environment, if an application fails, logs in context not only highlight the error alongside corresponding log entries but also provide correlated logs from surrounding services and infrastructure components. Petabyte per day and tenant; this will soon increase to one Petabyte per day and tenant.

Analytics 304
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The keys to selecting a platform for end-to-end observability

Dynatrace

On average, organizations use 10 different tools to monitor applications, infrastructure, and user experiences across these environments. Clearly, continuing to depend on siloed systems, disjointed monitoring tools, and manual analytics is no longer sustainable.