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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 244
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Supercharge your end-to-end infrastructure and operations observability experience

Dynatrace

Dynatrace introduced numerous powerful features to its Infrastructure & Operations app, addressing the emerging requirement for enhanced end-to-end infrastructure observability. Let’s explore these exciting new features and see how they elevate infrastructure management. Overview of a cloud-hosted frontend web application.

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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 248
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Business Flow: Why IT operations teams should monitor business processes

Dynatrace

The business process observability challenge Increasingly dynamic business conditions demand business agility; reacting to a supply chain disruption and optimizing order fulfillment are simple but illustrative examples. Most business processes are not monitored. First and foremost, it’s a data problem.

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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 195
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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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AI techniques enhance and accelerate exploratory data analytics

Dynatrace

Increasingly, organizations seek to address these problems using AI techniques as part of their exploratory data analytics practices. The next challenge is harnessing additional AI techniques to make exploratory data analytics even easier. Discovery using global search.

Analytics 223