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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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Dynatrace simplifies OpenTelemetry metric collection for context-aware AI analytics

Dynatrace

Second, embracing the complexity of OpenTelemetry signal collection must come with a guaranteed payoff: gaining analytical insights and causal relationships that improve business performance. 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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What is behavior analytics?

Dynatrace

As user experiences become increasingly important to bottom-line growth, organizations are turning to behavior analytics tools to understand the user experience across their digital properties. Here’s what these analytics are, how they work, and the benefits your organization can realize from using them.

Analytics 246
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Dynatrace elevates data security with separated storage and unique encryption keys for each tenant

Dynatrace

Protect data in multi-tenant architectures To bring you the most value by unifying observability and security in one analytics and automation platform powered by AI, Dynatrace SaaS leverages a multitenancy architecture, enabling efficient and scalable data ingestion, querying, and processing on shared infrastructure.

Storage 246
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5 considerations when deciding on an enterprise-wide observability strategy

Dynatrace

Meanwhile, cost reduction programs affect budgets, constrain technology investment, and inhibit innovation. Seek out solutions that leverage real-time analytics to automatically understand how application and infrastructure conditions are changing, where new demand is coming from, and when service-level objectives are not being met.

Strategy 243
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Dynatrace OpenPipeline: Stream processing data ingestion converges observability, security, and business data at massive scale for analytics and automation in context

Dynatrace

By putting data in context, OpenPipeline enables the Dynatrace platform to deliver AI-driven insights, analytics, and automation for customers across observability, security, software lifecycle, and business domains. This “data in context” feeds Davis® AI, the Dynatrace hypermodal AI , and enables schema-less and index-free analytics.

Analytics 272
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RabbitMQ vs. Kafka: Key Differences

Scalegrid

Kafka is optimized for high-throughput event streaming , excelling in real-time analytics and large-scale data ingestion. Its architecture supports stream transformations, joins, and filtering, making it a powerful tool for real-time analytics. Apache Kafka, designed for distributed event streaming, maintains low latency at scale.

Latency 147