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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. What is log analytics? Log analytics is the process of evaluating and interpreting log data so teams can quickly detect and resolve issues.

Analytics 205
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Automate complex metric-related use cases with the Metrics API version 2

Dynatrace

Dynatrace collects a huge number of metrics for each OneAgent-monitored host in your environment. Depending on the types of technologies you’re running on individual hosts, the average number of metrics is about 500 per computational node. Running metric queries on a subset of entities for live monitoring and system overviews.

Metrics 224
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Announcing enterprise-grade observability at scale for your OpenTelemetry custom metrics

Dynatrace

As the application owner of an e-commerce application, for example, you can enrich the source code of your application with domain-specific knowledge by adding actionable semantics to collected performance or business metrics. New OpenTelemetry metrics exporters provide the broadest language support on the market.

Metrics 150
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Actionable insights with our Adobe Analytics integration and new web properties (referrer, UTM…)

Dynatrace

While Dynatrace provides software intelligence to accelerate your company’s digital transformation, web analytics tools like Adobe Analytics help you deeply understand your user journeys, segmentation, behavior, and strategic business metrics such as revenue, orders, and conversion goals. Google Analytics.

Analytics 145
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Dynatrace partners with AWS to provide enterprise-grade, intelligent observability for custom OpenTelemetry metrics

Dynatrace

OpenTelemetry metrics are useful for augmenting the fully automatic observability that can be achieved with Dynatrace OneAgent. OpenTelemetry metrics add domain specific data such as business KPIs and license relevant consumption details. Enterprise-grade observability for custom OpenTelemetry metrics from AWS. Dynatrace news.

AWS 174
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Ensure unrivaled customer experience with Davis AI-powered HTTP and custom error analytics

Dynatrace

Fine tune what Davis AI considers for alerting. If you want to find out more about how Davis detects your HTTP and custom error rate increases, check out our Automated baselining Help topic and our recent blog post about auto-adaptive metric baselines. How to enable extended Davis awareness of HTTP and custom errors.

Analytics 219
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Announcing enterprise-grade observability at scale for OpenTelemetry custom metrics (Part 2)

Dynatrace

Welcome back to the second part of our blog series on how easy it is to get enterprise-grade observability at scale in Dynatrace for your OpenTelemetry custom metrics. In Part 1 , we announced our new OpenTelemetry custom-metric exporters that provide the broadest language coverage on the market, including Go , .NET

Metrics 139