Remove Analytics Remove Development Remove Speed
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Empowering SREs with runtime vulnerability analytics and security posture management

Dynatrace

Developers deploy on production systems at lightning speed every day. Dynatrace Runtime Vulnerability Analytics and Security Posture Management flips this dynamic by giving SREs real-time visibility into exposed vulnerabilities and misconfigurations in production, allowing them to prioritize and remediate threats more quickly.

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New continuous compliance requirements drive the need to converge observability and security

Dynatrace

Leverage AI for proactive protection: AI and contextual analytics are game changers, automating the detection, prevention, and response to threats in real time. UMELT are kept cost-effectively in a massive parallel processing data lakehouse, enabling contextual analytics at petabyte scale, fast.

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Revolutionizing cloud security with observability context: Dynatrace Cloud Security addressing CADR

Dynatrace

Securing critical applications within each organization’s digital environments requires a new approach: one that protects production in real-time and brings end-to-end observability context into AI-powered security analytics. Rather, it’s smarter analytics of unified data brought into context.

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Helping customers unlock the Power of Possible

Dynatrace

The Dynatrace platform automatically captures and maps metrics, logs, traces, events, user experience data, and security signals into a single datastore, performing contextual analytics through a “power of three AI”—combining causal, predictive, and generative AI. The result?

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Dynatrace 3rd-generation platform: Built for the world of Autonomous Intelligence

Dynatrace

Dynatrace 3rd generation gives organizations confidence, allowing them to scale decision-making with speed and trust. The result is not just visibility, but deep, evolving system knowledge, providing machine-speed decisions no other platform can match. The same principle applies to AI systems.

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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.

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Transform data into insights with Dynatrace Dashboards and Notebooks

Dynatrace

Our latest enhancements to the Dynatrace Dashboards and Notebooks apps make learning DQL optional in your day-to-day work, speeding up your troubleshooting and optimization tasks. This app provides advanced analytics, such as highlighting related surrounding traces and pinpointing the root cause, as illustrated in the example below.