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Data lakehouse innovations advance the three pillars of observability for more collaborative analytics

Dynatrace

Grail combines the big-data storage of a data warehouse with the analytical flexibility of a data lake. With Grail, we have reinvented analytics for converged observability and security data,” Greifeneder says. Logs on Grail Log data is foundational for any IT analytics. Open source solutions are also making tracing harder.

Analytics 191
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How digital experience monitoring helps deliver business observability

Dynatrace

Digital experience monitoring (DEM) allows an organization to optimize customer experiences by taking into account the context surrounding digital experience metrics. What is digital experience monitoring? Primary digital experience monitoring tools.

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Build and operate multicloud FaaS with enhanced, intelligent end-to-end observability

Dynatrace

For example, to handle traffic spikes and pay only for what they use. Scale automatically based on the demand and traffic patterns. Connect Dynatrace to your cloud-vendor to gather relevant infrastructure monitoring data, which gives you essential health insights. You can find the complete matrix of our support here.

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Dynatrace PurePath 4 integrates OpenTelemetry and the latest cloud-native technologies and provides analytics and AI at scale

Dynatrace

Methods include the observability capabilities of the platforms their applications run on; monitoring tools, OpenTelemetry, OpenTracing, OpenMonitor, OpenCensus, Jaeger, Zipkin, Log, CloudWatch, and more. Just one command instruments your entire application environment for monitoring. Automatic topology analysis.

Analytics 159
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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. With Dynatrace OneAgent you also benefit from support for traffic routing and traffic control. Deep-code execution details.

Java 239
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Kubernetes vs Docker: What’s the difference?

Dynatrace

This opens the door to auto-scalable applications, which effortlessly matches the demands of rapidly growing and varying user traffic. For a deeper look into how to gain end-to-end observability into Kubernetes environments, tune into the on-demand webinar Harness the Power of Kubernetes Observability. Built-in monitoring.

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Using Dynatrace to master the 5 pillars of the AWS Well-Architected Framework (Part 1)

Dynatrace

Do we have the right monitoring to understand the health and validation of architecture decisions and delivering on business expectations? through our AWS integrations and monitoring support. Seamless monitoring of AWS Services running in AWS Cloud and AWS Outposts. Stay tuned. How to get started.

AWS 146