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Real user monitoring vs. synthetic monitoring: Understanding best practices

Dynatrace

RUM gathers information on a variety of performance metrics. Data collected on page load events, for example, can include navigation start (when performance begins to be measured), request start (right before the user makes a request from the server), and speed index metrics (measure page load speed).

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What is continuous delivery and what are best practices for implementing it?

Dynatrace

Here are a few common metrics teams should track for every CD pipeline to help you evaluate its efficacy. CD depends on automated testing, and test pass rate helps you fine tune testing methods and improve the effectiveness of your developer feedback loop. Best practices for adopting continuous delivery.

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Performance Testing - Tools, Steps, and Best Practices

KeyCDN

Web performance is a broad subject, and you’ll find no shortage of performance testing tips and tutorials all over the web. Before you begin tuning your website or application, you must first figure out which metrics matter most to your users and establish some achievable benchmarks. What is Performance Testing?

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What is synthetic testing?

Dynatrace

Availability testing Availability testing helps organizations confirm that a site or application is responding to user requests. Web-performance testing Web-performance testing evaluates metrics including page loading speed, the performance of specific page elements, and the occurrence rate of site errors.

Testing 208
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How to boost SRE productivity with observability-driven DevOps

Dynatrace

We refer to this culture and practice as observability-driven DevOps and SRE automation. Observability is the ability to measure a system’s current state based on the data it generates, such as logs, metrics, and traces. The collected set of metrics are queries for some timeframe. The role of observability within DevOps.

DevOps 218
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Release readiness through AI-based white box resiliency testing with JMeter and Dynatrace

Dynatrace

This header is parsed by Dynatrace and can be used during analysis to differentiate between load test requests and other requests (e.g., from other test tools or real users). While the test step, use case, and thread group name context are helpful we also want to speed up the analysis of individual requests that fail.

Testing 217
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A guide to ASP.NET web service observability, diagnostics and performance optimization with Dynatrace

Dynatrace

The challenge with ASP.NET Web Service Observability, Diagnostics and Performance Optimization is that most monitoring & diagnostic tools only provide global Service Level Indicators metrics (SLIs) such as response time, failure rate, and throughput, but not metrics for each individual service endpoint.