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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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Unlock the power of contextual log analytics

Dynatrace

The Clouds app provides a view of all available cloud-native services. Logs in context, along with other details, are instantly available after selecting a resource. This is explained in detail in our blog post, Unlock log analytics: Seamless insights without writing queries.

Analytics 304
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Dynatrace simplifies OpenTelemetry metric collection for context-aware AI analytics

Dynatrace

Code changes are often required to refine observability data. This results in site reliability engineers nudging development teams to add resource attributes, endpoints, and tokens to their source code. The missed SLO can be analytically explored and improved using Davis insights on an out-of-the-box Kubernetes workload overview.

Analytics 321
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Predictable costs for Log Management & Analytics with new simplified licensing plan

Dynatrace

As cloud complexity increases and security concerns mount, organizations need log analytics to discover and investigate issues and gain critical business intelligence. But exploring the breadth of log analytics scenarios with most log vendors often results in unexpectedly high monthly log bills and aggressive year-over-year costs.

Analytics 246
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Flexible, scalable, self-service Kubernetes native observability now in General Availability

Dynatrace

The application consists of several microservices that are available as pod-backed services. This file is automatically configured with working defaults, but it can be easily modified using a code editor such as VS Code. Information about each of these topics will be available in upcoming announcements.

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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. Start by asking yourself what’s there, whether it’s logs, metrics, or traces.

Analytics 246
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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.