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

The Netflix TechBlog

Behind the scenes, a myriad of systems and services are involved in orchestrating the product experience. These backend systems are consistently being evolved and optimized to meet and exceed customer and product expectations. It provides a good read on the availability and latency ranges under different production conditions.

Traffic 347
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Service level objectives: 5 SLOs to get started

Dynatrace

It represents the percentage of time a system or service is expected to be accessible and functioning correctly. 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.

Latency 245
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Pushy to the Limit: Evolving Netflix’s WebSocket proxy for the future

The Netflix TechBlog

Sample system diagram for an Alexa voice command. Where aws ends and the internet begins is an exercise left to the reader. The other main use case was RENO, the Rapid Event Notification System mentioned above. Dynomite had great performance, but it required manual scaling as the system grew.

Latency 234
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Seamlessly Swapping the API backend of the Netflix Android app

The Netflix TechBlog

For each route we migrated, we wanted to make sure we were not introducing any regressions: either in the form of missing (or worse, wrong) data, or by increasing the latency of each endpoint. Being able to canary a new route let us verify latency and error rates were within acceptable limits.

Latency 241
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Interpreting A/B test results: false negatives and power

The Netflix TechBlog

We then used simple thought exercises based on flipping coins to build intuition around false positives and related concepts such as statistical significance, p-values, and confidence intervals. As a result, if the test treatment results in a small reduction in the latency metric, it’s hard to successfully identify?

Testing 211
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Service level objective examples: 5 SLO examples for faster, more reliable apps

Dynatrace

It represents the percentage of time a system or service is expected to be accessible and functioning correctly. 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.

Traffic 173
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Real user monitoring vs. synthetic monitoring: Understanding best practices

Dynatrace

However, not all user monitoring systems are created equal. connectivity, access, user count, latency) of geographic regions. These development and testing practices ensure the performance of critical applications and resources to deliver loyalty-building user experiences. What is real user monitoring? Synthetic monitoring drawbacks.