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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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Digital Business Analytics: Let’s get started!

Dynatrace

We introduced Digital Business Analytics in part one as a way for our customers to tie business metrics to application performance and user experience, delivering unified insights into how these metrics influence business milestones and KPIs. A sample Digital Business Analytics dashboard. Dynatrace news.

Analytics 286
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Automatic and intelligent end-to-end observability for OpenTelemetry Java

Dynatrace

Today, Dynatrace is happy to announce OneAgent support for discovering and automatically capturing OpenTelemetry trace data for Java. PurePath integrates OpenTelemetry Java data for enterprise-grade collection and contextual analytics. OpenTelemetry Java API version 1.0.0 OpenTelemetry Java API version 1.0.0

Java 236
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Unlock end-to-end observability insights with Dynatrace PurePath 4 seamless integration of OpenTracing for Java

Dynatrace

Dynatrace is fully committed to the OpenTelemetry community and to the seamless integration of OpenTelemetry data , including ingestion of custom metrics , into the Dynatrace open analytics platform. Find OpenTracing for Java seamlessly integrated into PurePath 4. Deep-code execution details. Always-on profiling in transaction context.

Java 264
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Automatic connection of logs and traces accelerates AI-driven cloud analytics

Dynatrace

By unifying log analytics with PurePath tracing, Dynatrace is now able to automatically connect monitored logs with PurePath distributed traces. This provides a holistic view, advanced analytics, and AI-powered answers for cloud optimization and troubleshooting. How to get started. New to Dynatrace? If so, start your free trial today!

Analytics 246
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New analytics capabilities for messaging system-related anomalies

Dynatrace

We’ve introduced brand-new analytics capabilities by building on top of existing features for messaging systems. The post New analytics capabilities for messaging system-related anomalies appeared first on Dynatrace blog. Finally, you can configure and activate them there. New to Dynatrace?

Analytics 246
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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