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The road to observability demo part 3: Collect, instrument, and analyze telemetry data automatically with Dynatrace

Dynatrace

Making applications observable—relying on metrics, logs, and traces to understand what software is doing and how it’s performing—has become increasingly important as workloads are shifting to multicloud environments. We also introduced our demo app and explained how to define the metrics and traces it uses.

Metrics 175
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Create compelling insights into business and operational KPIs through metric calculations in the Data explorer

Dynatrace

Metrics matter. But without complex analytics to make sense of them in context, metrics are often too raw to be useful on their own. To achieve relevant insights, raw metrics typically need to be processed through filtering, aggregation, or arithmetic operations. Examples of metric calculations. Dynatrace news.

Metrics 246
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Best of breed observability with Spring Micrometer and Dynatrace

Dynatrace

Spring also introduced Micrometer, a vendor-agnostic metric API with rich instrumentation options. Soon after, Dynatrace built a registry for exporting Micrometer metrics. Our data APIs, which ingest millions of metrics, traces, and logs per second, are reconciled using Micrometer-based metrics.

Metrics 203
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In Defence of DOM­Content­Loaded

CSS Wizardry

I never thought I’d write an article in defence of DOMContentLoaded , but here it is… For many, many years now, performance engineers have been making a concerted effort to move away from technical metrics such as Load , and toward more user-facing, UX metrics such as Speed Index or Largest Contentful Paint. Or are they…?

Metrics 326
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Unlock the Power of DevSecOps with Newly Released Kubernetes Experience for Platform Engineering

Dynatrace

Provide self-service platform services with dedicated UI for development teams to improve developer experience and increase speed of delivery. Open source logs and metrics take precedence in the monitoring process. The ability to effectively manage multi-cluster infrastructure is critical to consistent and scalable service delivery.

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Perform 2020: Transform the way you work – Product update

Dynatrace

We’re able to help drive speed, take multiple data sources, bring them into a common model and drive those answers at scale.”. With this announcement: Davis now automatically ingests additional Kubernetes events and metrics, including state changes, workload changes and critical events across clusters, containers and runtimes.

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What is full stack observability?

Dynatrace

A full-stack observability solution uses telemetry data such as logs, metrics, and traces to give IT teams insight into application, infrastructure, and UX performance. Check out the on-demand Power Demo, Dynatrace and Business Observability: Tying IT Metrics to Business Outcomes. See observability in action! Watch webinar now!

DevOps 235