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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). Real user monitoring limitations.

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Ensuring the Successful Launch of Ads on Netflix

The Netflix TechBlog

In this blog post, we’ll discuss the methods we used to ensure a successful launch, including: How we tested the system Netflix technologies involved Best practices we developed Realistic Test Traffic Netflix traffic ebbs and flows throughout the day in a sinusoidal pattern. Basic with ads was launched worldwide on November 3rd.

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Service level objectives: 5 SLOs to get started

Dynatrace

Certain SLOs can help organizations get started on measuring and delivering metrics that matter. Fitness app : The fitness app should offer a response time of less than 500 milliseconds for exercise tracking and data recording. This SLO enables a smooth and uninterrupted exercise-tracking experience.

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Service level objective examples: 5 SLO examples for faster, more reliable apps

Dynatrace

Certain service-level objective examples can help organizations get started on measuring and delivering metrics that matter. Fitness app : The fitness app should offer a response time of less than 500 milliseconds for exercise tracking and data recording. This SLO enables a smooth and uninterrupted exercise-tracking experience.

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Efficient SLO event integration powers successful AIOps

Dynatrace

However, it’s essential to exercise caution: Limit the quantity of SLOs while ensuring they are well-defined and aligned with business and functional objectives. Error budget burn rate = Error Rate / (1 – Target) Best practices in SLO configuration To detect if an entity is a good candidate for strong SLO, test your SLO.

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Azure Well-Architected Framework: What it is and how to tame it with AI and automation

Dynatrace

Most monitoring tools for migrations, development, and operations focus on collecting and aggregating the three pillars of observability— metrics, traces, and logs. The Framework is built on five pillars of architectural best practices: Cost optimization. Operational excellence. Performance efficiency. Reliability.

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Tutorial: Guide to automated SRE-driven performance engineering

Dynatrace

In Dynatrace, tagging also allows you to control access rights (via Management Zones), filter data on dashboards or via the API as well as allowing you to control calculation of custom service metrics or extraction of request attributes. This allows us to analyze metrics (SLIs) for each individual endpoint URL.