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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?

Metrics 180
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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. This insight led us to build Edgar: a distributed tracing infrastructure and user experience. Our distributed tracing infrastructure is grouped into three sections: tracer library instrumentation, stream processing, and storage.

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What is infrastructure monitoring and why is it mission-critical in the new normal?

Dynatrace

IT infrastructure is the heart of your digital business and connects every area – physical and virtual servers, storage, databases, networks, cloud services. We’ve seen the IT infrastructure landscape evolve rapidly over the past few years. What is infrastructure monitoring? . Dynatrace news.

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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. Span ingestion.

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Kubernetes in the wild report 2023

Dynatrace

Findings provide insights into Kubernetes practitioners’ infrastructure preferences and how they use advanced Kubernetes platform technologies. Kubernetes infrastructure models differ between cloud and on-premises. The strongest Kubernetes growth areas are security, databases, and CI/CD technologies.

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What is log analytics? How a modern observability approach provides critical business insight

Dynatrace

It’s also common for teams, as part of their log monitoring practice, to write business metrics to a log that can then be tracked on a dashboard or trigger an alert. As companies migrate their infrastructure and development workloads to the cloud, there are numerous use cases for log analytics. Cold storage and rehydration.

Analytics 217
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Boost DevOps maturity with observability and a data lakehouse

Dynatrace

The sheer number of permutations can break traditional databases. When data storage strategies become problematic to DevOps maturity Data warehouse-based approaches add cost and time to analytics projects. Indexless means teams have rapid access to data without the storage cost and resources needed to maintain massive indexes.

DevOps 186