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Transform your operations with Davis AI root cause analysis

Dynatrace

In an era dominated by automated, code-driven software deployments through Kubernetes and cloud services, human operators simply can’t keep up without intelligent observability and root cause analysis tools. The chart feature allows for quick analysis of problem peaks at specific times.

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A Kubernetes platform engineering strategy tames Kubernetes complexity

Dynatrace

I spoke with Martin Spier, PicPay’s VP of Engineering, about the challenges PicPay experienced and the Kubernetes platform engineering strategy his team adopted in response. In addition, their logs-heavy approach to analysis made scaling processes complex and costly. To achieve it, Spier and his team turned to Dynatrace.

Strategy 237
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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 278
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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 219
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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 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