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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 280
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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.

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Dynatrace and Red Hat expand enterprise observability to edge computing

Dynatrace

The Dynatrace ® unified observability and security platform addresses the needs of enterprise-edge scenarios by managing the health and performance of containerized applications and multi-cloud infrastructures with metrics, traces, and logs in one place. The following illustrations outline a typical Red Hat Device Edge and Dynatrace setup.

Retail 258
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Log auditing and log forensics benefit from converging observability and security data

Dynatrace

As organizations adopt more cloud-native technologies, observability data—telemetry from applications and infrastructure, including logs, metrics, and traces—and security data are converging. for example, collate which and how many Java applications were attacked) Did we lose any critical data? Incomplete. Skills and expertise.

Analytics 185
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Application observability meets developer observability: Unlock a 360º view of your environment

Dynatrace

When an incident occurs, developers need to know what data to look at, where the incident occurred, and other relevant metrics. In this example, Grabner saw that the adservice workload was running on EKS and could see the relevant metrics, logs, services, events, error logs, and more. “Then, I add a breakpoint.

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Data Reprocessing Pipeline in Asset Management Platform @Netflix

The Netflix TechBlog

After reading the asset ids using one of the ways, an event is created per asset id to be processed synchronously or asynchronously based on the use case. For asynchronous processing, events are sent to Apache Kafka topics to be processed. Asynchronous Flow : Data processor consumes the data events sent by the data extractor.

Media 237
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Kubernetes OOMKilled troubleshooting: Diagnosing out-of-memory issues automatically

Dynatrace

Both backend and report service are implemented in Java, but Robert found no Java runtime-related issues, either. Analyzing: Looking for unusual Kubernetes event activity. So Robert analyzed the data and events Dynatrace captured for the Kubernetes cluster responsible for keeping the pods running. But that’s about it.

Java 190