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Running the OpenTelemetry demo application with Dynatrace

Dynatrace

The demo has been in active development since the summer of 2022 with Dynatrace as one of its leading contributors. The demo application is a cloud-native e-commerce application made up of multiple microservices. OpenTelemetry demo application architecture diagram. By default, the demo comes with?Jaeger

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DYOC: Agentless RUM, OpenKit, Metric ingest, and Business Analytics

Dynatrace

Agentless RUM, OpenKit, and Metric ingest to the rescue! App architecture. First, let’s explore the architecture of these apps: BizOpsConfigurator. What insights can we gain from usage metrics that we can feed-back to our product management teams? So here I chose the Metric Ingest API ( /api/v2/metrics/ingest ).

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Observability vs. monitoring: What’s the difference?

Dynatrace

Organizations are depending more and more on distributed architectures to provide application services. Monitoring focuses on watching specific metrics. Observability is the ability to understand a system’s internal state by analyzing the data it generates, such as logs, metrics, and traces. Dynatrace news.

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The White House Executive Order on Cybersecurity: How Dynatrace observability delivers on three essential directives

Dynatrace

Dynatrace automatically and continuously observes and captures all data from logs, metrics, and end-to-end traces along with user experience and context data generated from tools that support the complete catalog of agency tasks and strategic actions. Implementing a zero-trust architecture. Please contact us.

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Observability platform vs. observability tools

Dynatrace

Observability is made up of three key pillars: metrics, logs, and traces. Metrics are measures of critical system values, such as CPU utilization or average write latency to persistent storage. They are particularly important in distributed systems, such as microservices architectures.

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Efficient SLO event integration powers successful AIOps

Dynatrace

Data Explorer “test your Metric Expression” for info result coming from the above metric. Following the previous metric (above) used for the SLO, the threshold employed is an average of 100 ms for the Key Performance Indicator (KPI) of DOM Interactive. Contact us for a free demo. Interested in learning more?

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Exploring Data @ Netflix

The Netflix TechBlog

See our integration with Metrics later in this article.) The diagram below shows the server-side architecture. Data Explorer architecture and service adapter layers Demo Environment Deploying a new tool in any real-world environment is a time commitment. Note, the demo environment is not intended for production use.

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