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Migrating Critical Traffic At Scale with No Downtime?—?Part 1

The Netflix TechBlog

Migrating Critical Traffic At Scale with No Downtime — Part 1 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Hundreds of millions of customers tune into Netflix every day, expecting an uninterrupted and immersive streaming experience. This approach has a handful of benefits.

Traffic 347
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Migrating Netflix to GraphQL Safely

The Netflix TechBlog

The GraphQL shim enabled client engineers to move quickly onto GraphQL, figure out client-side concerns like cache normalization, experiment with different GraphQL clients, and investigate client performance without being blocked by server-side migrations. So, we relied on higher-level metrics-based testing: AB Testing and Sticky Canaries.

Traffic 357
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The road to observability with OpenTelemetry demo part 1: Identifying metrics and traces

Dynatrace

That is, relying on metrics, logs, and traces to understand what software is doing and where it’s running into snags. In addition to tracing, observability also defines two other key concepts, metrics and logs. When software runs in a monolithic stack on on-site servers, observability is manageable enough. What is OpenTelemetry?

Metrics 245
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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

You will need to know which monitoring metrics for Redis to watch and a tool to monitor these critical server metrics to ensure its health. Redis returns a big list of database metrics when you run the info command on the Redis shell. You can pick a smart selection of relevant metrics from these.

Metrics 130
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Seamlessly Swapping the API backend of the Netflix Android app

The Netflix TechBlog

This allows the app to query a list of “paths” in each HTTP request, and get specially formatted JSON (jsonGraph) that we use to cache the data and hydrate the UI. 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.

Latency 241
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Improving our video encodes for legacy devices

The Netflix TechBlog

264/AVC Main profile family still represents a substantial portion of the members viewing hours and an even larger portion of the traffic. These are summarized below: Instead of relying on other objective metrics, such as PSNR†, VMAF is employed to guide optimization decisions. Yet, given its wide support, our H.264/AVC

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Optimising for High Latency Environments

CSS Wizardry

RTT data should be seen as an insight and not a metric. Note some of the counties in these URLs: this client has a truly international audience, and latency metrics are of great interest to me. Interestingly, latency only accounts for a small proportion of my overall TTFB metric. RTT isn’t a you-thing, it’s a them-thing.

Latency 234