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What is behavior analytics?

Dynatrace

As user experiences become increasingly important to bottom-line growth, organizations are turning to behavior analytics tools to understand the user experience across their digital properties. Here’s what these analytics are, how they work, and the benefits your organization can realize from using them.

Analytics 235
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The top four log analytics and log management best practices

Dynatrace

By following key log analytics and log management best practices, teams can get more business value from their data. Challenges driving the need for log analytics and log management best practices As organizations undergo digital transformation and adopt more cloud computing techniques, data volume is proliferating.

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Connect Fluentd logs with Dynatrace traces, metrics, and topology data to enhance Kubernetes observability

Dynatrace

Output plugins deliver logs to storage solutions, analytics tools, and observability platforms like Dynatrace. All metrics, traces, and real user data are also surfaced in the context of specific events. With Dynatrace, you can create custom metrics based on user-defined log events.

Metrics 188
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Connect Fluentd logs with Dynatrace traces, metrics, and topology data to enhance Kubernetes observability

Dynatrace

Output plugins deliver logs to storage solutions, analytics tools, and observability platforms like Dynatrace. All metrics, traces, and real user data are also surfaced in the context of specific events. With Dynatrace, you can create custom metrics based on user-defined log events.

Metrics 130
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Implementing service-level objectives to improve software quality

Dynatrace

By implementing service-level objectives, teams can avoid collecting and checking a huge amount of metrics for each service. Dynatrace provides a centralized approach for establishing, instrumenting, and implementing SLOs that uses full-stack observability , topology mapping, and AI-driven analytics.

Software 272
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Introducing Dynatrace built-in data observability on Davis AI and Grail

Dynatrace

Data observability is crucial to analytics and automation, as business decisions and actions depend on data quality. Scenario : For many B2B SaaS companies, the number of reported customers is an important metric. Keeping track of the field count in a new metric (data.observability.fields) using Workflows and Typescript.

DevOps 200
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From observability to sustainability: Reduce your IT carbon footprint with Dynatrace Carbon Impact

Dynatrace

ESG metrics are increasingly important to investors as they evaluate risk; in turn, these metrics are increasingly important to organizations because they measure and disclose their performance. The app translates utilization metrics, including CPU, memory, disk, and network I/O, into their CO2 equivalent (CO2e).

Energy 191