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Conducting log analysis with an observability platform and full data context

Dynatrace

With more automated approaches to log monitoring and log analysis, however, organizations can gain visibility into their applications and infrastructure efficiently and with greater precision—even as cloud environments grow. ” A data warehouse, on the other hand, is an efficient and fast option for querying data.

Analytics 184
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What is a data lakehouse? Combining data lakes and warehouses for the best of both worlds

Dynatrace

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. This data lands in its original, raw form without requiring schema definition.

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Dynatrace observability is now available for Red Hat OpenShift on the IBM® Power® architecture

Dynatrace

By leveraging the Dynatrace Operator and Dynatrace capabilities on Red Hat OpenShift on IBM Power, customers can accelerate their modernization to hybrid cloud and increase operational efficiencies with greater visibility across the full stack from hardware through application processes.

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Black Hat 2023: Pairing causal AI and generative AI for cybersecurity threats

Dynatrace

They can also use generative AI for cybersecurity, write prototype code, and implement complex software systems. Second, for causal AI to provide a deep and rich context to unleash GPT’s full potential for software delivery and productivity use cases.”

DevOps 182
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OpenTelemetry observability and Dynatrace deliver actionable answers at scale

Dynatrace

Like the tree in the forest, the microservice falling definitely made a sound. But, as Justin Scherer, senior software engineer from Northwestern Mutual found, OpenTelemetry by itself is not a panacea. And maintaining the instrumentation configurations can get cumbersome as your software and toolsets evolve.

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Best of breed observability with Spring Micrometer and Dynatrace

Dynatrace

Some years ago, I worked closely with the Spring Framework team as a product manager at Pivotal Software. We optimized our Micrometer Registry to export data in memory-efficient chunks. But the true power of Dynatrace is in the blending of metrics, traces, and logs in a single unified analytics view, as you’ll see in a moment.

Metrics 194
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How to evaluate modern APM solutions

Dynatrace

APM solutions track key software application performance metrics using monitoring software and telemetry data. G2 Research includes a clear definition of APM in its Grid Report for Application Performance Monitoring for Spring 2021. APM solutions: A primer. Insight into business KPIs.