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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 238
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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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Exposure management vs. vulnerability management: Preventing attacks with a robust cybersecurity strategy

Dynatrace

A robust application security strategy is vital to ensuring the safety of your organization’s data and applications. Limited visibility: Many organizations lack complete visibility into their IT infrastructure, making it difficult to identify and address hidden vulnerabilities.

Strategy 259
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A Kubernetes platform engineering strategy tames Kubernetes complexity

Dynatrace

In fact, 76% of technology leaders say the dynamic nature of Kubernetes makes it more difficult to maintain visibility of their infrastructure compared with traditional technology stacks. The company receives tens of thousands of requests per second on its edge layer and sees hundreds of millions of events per hour on its analytics layer.

Strategy 232
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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

Now let’s look at how we designed the tracing infrastructure that powers Edgar. This insight led us to build Edgar: a distributed tracing infrastructure and user experience. Our distributed tracing infrastructure is grouped into three sections: tracer library instrumentation, stream processing, and storage.

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Elasticsearch Indexing Strategy in Asset Management Platform (AMP)

The Netflix TechBlog

And finally, we have an Apache Iceberg layer which stores assets in a denormalized fashion to help answer heavy queries for analytics use cases. Although this indexing strategy worked smoothly for a while, interesting challenges started coming up and we started to notice performance issues over time.

Strategy 265
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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. Advanced analytics are not limited to use-case-specific apps.

Analytics 242