Remove Exercise Remove Latency Remove Metrics Remove Processing
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Migrating Critical Traffic At Scale with No Downtime?—?Part 1

The Netflix TechBlog

The second phase involves migrating the traffic over to the new systems in a manner that mitigates the risk of incidents while continually monitoring and confirming that we are meeting crucial metrics tracked at multiple levels. It provides a good read on the availability and latency ranges under different production conditions.

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Seamlessly Swapping the API backend of the Netflix Android app

The Netflix TechBlog

To prepare ourselves for a big change in the tech stack of our endpoint, we decided to track metrics around the time taken to respond to queries. After some consultation with our backend teams, we determined the most effective way to group these metrics were by UI screen.

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COVID-19 Hazard Analysis using STPA

Adrian Cockcroft

There are many possible failure modes, and each exercises a different aspect of resilience. Staff should be familiar with recovery processes and the behavior of the system when it’s working hard to mitigate failures. Is the model of the controlled process looking at the right metrics and behaving safely?

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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. Response time Response time refers to the total time it takes for a system to process a request or complete an operation. This SLO enables a smooth and uninterrupted exercise-tracking experience. or above for the checkout process.

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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. Response time Response time refers to the total time it takes for a system to process a request or complete an operation. This SLO enables a smooth and uninterrupted exercise-tracking experience.

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Real user monitoring vs. synthetic monitoring: Understanding best practices

Dynatrace

Real user monitoring (RUM) is a performance monitoring process that collects detailed data about users’ interactions with an application. RUM gathers information on a variety of performance metrics. RUM is ideally suited to provide real metrics from real users navigating a site or application. What is real user monitoring?

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Automating chaos experiments in production

The Morning Paper

Moreover, just like an A/B test, we’ll be collecting metrics while the experiment is underway and performing statistical analysis at the end to interpret the results. Two failure modes we focus on are a service becoming slower (increase in response latency) or a service failing outright (returning errors).

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