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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. Grail and DQL will give you new superpowers.”

Analytics 188
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Why log monitoring and log analytics matter in a hyperscale world

Dynatrace

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. “Logging” is the practice of generating and storing logs for later analysis. What is log analytics? Dynatrace news.

Analytics 211
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Dynatrace PurePath 4 integrates OpenTelemetry and the latest cloud-native technologies and provides analytics and AI at scale

Dynatrace

The rapidly evolving digital landscape is one important factor in the acceleration of such transformations – microservices architectures, service mesh, Kubernetes, Functions as a Service (FaaS), and other technologies now enable teams to innovate much faster. Automatic topology analysis. Near-zero overhead.

Analytics 157
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Accelerate your cloud journey with Dynatrace observability for AWS S3 logs

Dynatrace

We hear from our customers how important it is to have a centralized, quick, and powerful access point to analyze these logs; hence we’re making it easier to ingest AWS S3 logs and leverage Dynatrace Log Management and Analytics powered by Grail. Or explore the recently introduced support for AWS Lambda logs.

AWS 201
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Dynatrace log collection for ARM unlocks power-efficient architecture for your enterprise

Dynatrace

No observability, no gains All these factors have made ARM an attractive computing architecture for innovative companies. Now you have the additional value of log data informing your Dynatrace root cause analysis should a problem arise on this host. In the following example, a synthetic monitor is set up for webpage uptime monitoring.

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What is IT automation?

Dynatrace

AIOps brings an additional level of analysis to observability, as well as the ability to respond to events that warrant it. Expect to spend time fine-tuning automation scripts as you find the right balance between automated and manual processing. By tuning workflows, you can increase their efficiency and effectiveness.

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Dynatrace extends automatic and intelligent observability to cloud and Kubernetes logs for smarter automation at scale

Dynatrace

To connect these siloes, and to make sense out of it requires massive manual efforts including code changes and maintenance, heavy integrations, or working with multiple analytics tools. Manual troubleshooting is painful, hurts the business, and slows down innovation. Leverage log analytics for additional context.

Cloud 260