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What is observability? Not just logs, metrics and traces

Dynatrace

In IT and cloud computing, observability is the ability to measure a system’s current state based on the data it generates, such as logs, metrics, and traces. If you’ve read about observability, you likely know that collecting the measurements of logs, metrics, and distributed traces are the three key pillars to achieving success.

Metrics 363
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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 236
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New Prometheus-based extensions enable intelligent observability for more than 200 additional technologies

Dynatrace

Building on its advanced analytics capabilities for Prometheus data , Dynatrace now enables you to create extensions based on Prometheus metrics. This allows teams to extend the intelligent observability Dynatrace provides to all technologies that provide Prometheus exporters. Our monitoring coverage already includes ?

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How to collect Prometheus metrics in Dynatrace

Dynatrace

Dynatrace has recently extended its Kubernetes operator by adding a new feature, the Prometheus OpenMetrics Ingest , which enables you to import Prometheus metrics in Dynatrace and build SLO and anomaly detection dashboards with Prometheus data. Here we’ll explore how to collect Prometheus metrics and what you can achieve with them.

Metrics 214
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Monitor your technology stack with Dynatrace and Amazon Managed Service for Prometheus

Dynatrace

Prometheus collects metrics from a number endpoints that expose metrics in the OpenMetrics format. So it’s no surprise that Amazon has announced the Amazon Managed Service for Prometheus (AMP) which supports open metric collection and brokerage from systems and applications that run on AWS. Dynatrace support for AMP.

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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. To remain flexible in observing all technologies used in their organization, some companies choose open-source solutions, which allow them to stay vendor-neutral. Micrometer is used for instrumenting both out-of-the-box and custom metrics from Spring Boot applications.

Metrics 220
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Intelligent, context-aware AI analytics for all your custom metrics

Dynatrace

Dynatrace recently opened up the enterprise-grade functionalities of Dynatrace OneAgent to all the data needed for observability, including metrics, events, logs, traces, and topology data. Davis topology-aware anomaly detection and alerting for your custom metrics. Seamlessly report and be alerted on topology-related custom metrics.

Metrics 246