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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 243
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5 considerations when deciding on an enterprise-wide observability strategy

Dynatrace

On top of this, organizations are often unable to accurately identify root causes across their dispersed and disjointed infrastructure. But first, there are five things to consider before settling on a unified observability strategy. What is prompting you to change? Don’t forget to incorporate cybersecurity and sustainability measures.

Strategy 182
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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 247
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AIOps strategy unlocks new possibilities for automation, customer satisfaction

Dynatrace

One Dynatrace customer, TD Bank, placed Dynatrace at the center of its AIOps strategy to deliver seamless user experiences. TD Bank adopts an observability-based AIOps strategy As one of the 10 largest banks in the U.S., trillion in assets and 27 million customers, TD Bank places customers at the center of everything it does.

Strategy 193
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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 257
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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 237
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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.