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Trace, diagnose, resolve: Introducing the Infrastructure & Operations app for streamlined troubleshooting

Dynatrace

Infrastructure and operations teams must maintain infrastructure health for IT environments. Any problem, such as a simple software update overburdening a critical database, can cause a ripple effect that degrades the performance of dependent services or applications.

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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.

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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. What is Prometheus?

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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

Now let’s look at how we designed the tracing infrastructure that powers Edgar. Reconstructing a streaming session was a tedious and time consuming process that involved tracing all interactions (requests) between the Netflix app, our Content Delivery Network (CDN), and backend microservices.

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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. Capturing data is critical to understanding how your applications and infrastructure are performing at any given time.

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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

The RAG process begins by summarizing and converting user prompts into queries that are sent to a search platform that uses semantic similarities to find relevant data in vector databases, semantic caches, or other online data sources. Observing AI models Running AI models at scale can be resource-intensive.

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Mastering Kubernetes deployments with Keptn: a comprehensive guide to enhanced visibility

Dynatrace

Deploying software in Kubernetes is often viewed as a straightforward process—just use kubectl or a GitOps solution like ArgoCD to deploy a YAML file, and you’re all set, right? External dependencies Many applications rely on external services, such as databases, APIs, or third-party services.