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Dynatrace simplifies OpenTelemetry metric collection for context-aware AI analytics

Dynatrace

The release candidate of OpenTelemetry metrics was announced earlier this year at Kubecon in Valencia, Spain. Since then, organizations have embraced OTLP as an all-in-one protocol for observability signals, including metrics, traces, and logs, which will also gain Dynatrace support in early 2023.

Analytics 283
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Best practices for Fluent Bit 3.0

Dynatrace

Fluent Bit is a telemetry agent designed to receive data (logs, traces, and metrics), process or modify it, and export it to a destination. Fluent Bit can serve as a proxy before you send data to Dynatrace or similar. Fluent Bit and Fluentd were created for the same purpose: collecting and processing logs, traces, and metrics.

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Support of OpenTelemetry metrics with enhanced AI capabilities

Dynatrace

Dynatrace news. With the most important components becoming release candidates , Dynatrace now supports the full OpenTelemetry specification on all runtimes and automatically adds intelligence to metrics at enterprise scale. So these metrics are immensely valuable to SRE and DevOps teams.

Metrics 230
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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 180
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OneAgent release notes version 1.231

Dynatrace

Dynatrace news. With this release, the oldest supported OneAgent versions are: Dynatrace ONE. Dynatrace ONE Premium. Dynatrace extension framework upgrade notice. Symptoms : No data is provided for affected metrics on dashboards, alerts, and custom device pages populated by the affected extension metrics.

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Build and operate multicloud FaaS with enhanced, intelligent end-to-end observability

Dynatrace

In this blog post, we will discuss some of these challenges and how to overcome them. Observability is typically achieved by collecting three types of data from a system, metrics, logs and traces. Moreover, serverless platforms have different levels of support for observability tools and features.

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Unmatched scalability and security of Dynatrace extensions now available for all supported technologies: 7 reasons to migrate your JMX and Python plugins

Dynatrace

already address SNMP, WMI, SQL databases, and Prometheus technologies, serving the monitoring needs of hundreds of Dynatrace customers. We’ve added Python support to Extensions 2.0, enabling the framework to support any extensibility use case we know about and preparing it for future use cases we don’t know about. Extensions 2.0