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Best practices and key metrics for improving mobile app performance

Dynatrace

Mobile applications (apps) are an increasingly important channel for reaching customers, but the distributed nature of mobile app platforms and delivery networks can cause performance problems that leave users frustrated, or worse, turning to competitors. Some of the most important KPIs are listed below. Performance optimization.

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Seamlessly Swapping the API backend of the Netflix Android app

The Netflix TechBlog

As an example, to render the screen shown here, the app sends a query that looks like this: paths: ["videos", 80154610, "detail"] A path starts from a root object , and is followed by a sequence of keys that we want to retrieve the data for. Instead, it is part of a different path : [videos, <id>, similars].

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The Fastest Google Fonts

CSS Wizardry

It’s widely accepted that self-hosted fonts are the fastest option: same origin means reduced network negotiation, predictable URLs mean we can preload , self-hosted means we can set our own cache-control. For each test, I captured the following metrics: First Paint (FP): To what extent is the critical path affected? Because harry.is

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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

Investigating a video streaming failure consists of inspecting all aspects of a member account. Reconstructing a streaming session was a tedious and time consuming process that involved tracing all interactions (requests) between the Netflix app, our Content Delivery Network (CDN), and backend microservices.

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Percentiles don’t work: Analyzing the distribution of response times for web services

Adrian Cockcroft

The mean and percentile measurements hide this structure, but the rest of this post will show how the structure can be measured and analyzed so that you can figure out a useful model of your system, understand what is driving the long tail of latencies and come up with better SLAs and measures of capacity.

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Migrating Netflix to GraphQL Safely

The Netflix TechBlog

We could also swap out the implementation of a field from GraphQL Shim to Video API with federation directives. So, we relied on higher-level metrics-based testing: AB Testing and Sticky Canaries. To determine customer impact, we could compare various metrics such as error rates, latencies, and time to render.

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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. With this objective, the app ensures that users experience real-time feedback and immediate updates when logging workouts, recording sets and reps, or tracking performance metrics. Latency primarily focuses on the time spent in transit.

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