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Real user monitoring vs. synthetic monitoring: Understanding best practices

Dynatrace

As businesses compete for customer loyalty, it’s critical to understand the difference between real-user monitoring and synthetic user monitoring. These development and testing practices ensure the performance of critical applications and resources to deliver loyalty-building user experiences.

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

Dynatrace

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. Here are some best practices to consider for automating delivery effectively. Watch our webinar.

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What is synthetic testing?

Dynatrace

Synthetic testing is an IT process that uses software to discover and diagnose performance issues with user journeys by simulating real-user activity. For example, teams can program synthetic test tools to send large volumes of simultaneous resource requests to a new application and evaluate how well it responds. HTTP monitors.

Testing 204
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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. What is Performance Testing? In the context of web development, performance testing entails using software tools to simulate how an application runs under specific circumstances.

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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. Dynatrace news.

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How to boost SRE productivity with observability-driven DevOps

Dynatrace

But, manual steps — such as reviewing test results and addressing production issues resulting from performance, resiliency, security, or functional issues — often hinder these efforts. Dynatrace makes this easy by offering a collection of best-practice SLO definitions for various use cases beyond the observability domain.

DevOps 215
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Simplify and standardize Dynatrace integration to Jenkins software delivery pipelines with shared libraries

Dynatrace

The Dynatrace API is used to automate your monitoring tasks, export different types of data into your third-party reporting and analysis tools, and to integrate into workflow tools such as Jenkins. These interfaces also allow toolchains to push problem comments, events, and metrics into Dynatrace for monitored entities. Dynatrace API.

Software 142