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Effective Log Data Analysis With Amazon CloudWatch: Harnessing Machine Learning

DZone

Logs can include a wide variety of data, including system events, transaction data, user activities, web browser logs, errors, and performance metrics. It offers a faster, more insightful, and automated log data analysis. It is a brand new capability of CloudWatch.

Analytics 269
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Driving your FinOps strategy with observability best practices

Dynatrace

In response, many organizations are adopting a FinOps strategy. Empowering teams to manage their FinOps practices, however, requires teams to have access to reliable multicloud monitoring and analysis data. Dynatrace can help you achieve your FinOps strategy using observability best practices.

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AI-driven analysis of Spring Micrometer metrics in context, with typology at scale

Dynatrace

Every company has its own strategy as to which technologies to use. Micrometer is used for instrumenting both out-of-the-box and custom metrics from Spring Boot applications. Davis topology-aware anomaly detection and alerting for your Micrometer metrics. Topology-related custom metrics for seamless reports and alerts.

Metrics 216
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AI-driven analysis of Spring Micrometer metrics in context, with topology at scale

Dynatrace

Every company has its own strategy as to which technologies to use. Micrometer is used for instrumenting both out-of-the-box and custom metrics from Spring Boot applications. Davis topology-aware anomaly detection and alerting for your Micrometer metrics. Topology-related custom metrics for seamless reports and alerts.

Metrics 130
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AI-driven analysis of Spring Micrometer metrics in context, with topology at scale

Dynatrace

Every company has its own strategy as to which technologies to use. Micrometer is used for instrumenting both out-of-the-box and custom metrics from Spring Boot applications. Davis topology-aware anomaly detection and alerting for your Micrometer metrics. Topology-related custom metrics for seamless reports and alerts.

Metrics 130
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Best practices and key metrics for improving mobile app performance

Dynatrace

As a result, organizations need to monitor mobile app performance metrics that are meaningful and actionable by gaining adequate observability of mobile app performance. There are many common mobile app performance metrics that are used to measure key performance indicators (KPIs) related to user experience and satisfaction.

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Observability engineering: Getting Prometheus metrics right for Kubernetes with Dynatrace and Kepler

Dynatrace

To get a more granular look into telemetry data, many analysts rely on custom metrics using Prometheus. Named after the Greek god who brought fire down from Mount Olympus, Prometheus metrics have been transforming observability since the project’s inception in 2012.

Metrics 186