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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 233
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Connect Fluentd logs with Dynatrace traces, metrics, and topology data to enhance Kubernetes observability

Dynatrace

Processing plugins parse (normalize), filter, enrich (tagging), format, and buffer log streams. 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. Fluentd can run as a DaemonSet in a Kubernetes cluster.

Metrics 187
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Find and analyze important metrics faster with the new metric browser

Dynatrace

Recently we simplified observability for custom metrics and opened up Dynatrace OneAgent for integration of metrics from various sources like StatsD , Telegraf , and Prometheus. We’re therefore happy to introduce the new metric browser , available as an Early Adopter release with Dynatrace version 1.207.

Metrics 151
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Tech Transforms podcast: Company Culture, Hyperautomation, User Experience in a Zero Trust World, and Security Metrics – June 2022 recap?

Dynatrace

We also explore how to improve user experiences within the Zero Trust framework and how to develop security metrics that eliminate DevSecOps bottlenecks. Make sure to stay connected with our social media pages for updates and tag us with #TechTransforms to be featured on our pages! appeared first on Dynatrace blog.

Metrics 204
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Simplify observability for all your custom metrics (Part 1: StatsD)

Dynatrace

Welcome to the blog series where we give you a deeper dive into the latest awesomeness around Dynatrace : how we bring scale, zero configuration, automatic AI driven alerting, and root cause analysis to all your custom metrics, including open source observability frameworks like StatsD, Telegraf, and Prometheus. Dynatrace news.

Metrics 162
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Connect Fluentd logs with Dynatrace traces, metrics, and topology data to enhance Kubernetes observability

Dynatrace

Processing plugins parse (normalize), filter, enrich (tagging), format, and buffer log streams. 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. Fluentd can run as a DaemonSet in a Kubernetes cluster.

Metrics 130
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What is? OpenTelemetry??An open-source standard for logs, metrics, and traces

Dynatrace

Loosely defined, observability is the ability to understand what’s happening inside a system from the knowledge of the external data it produces, which are usually logs, metrics, and traces. Logs, metrics, and traces make up the bulk of all telemetry data. The data life cycle has multiple steps from start to finish.