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How to Reduce Your CDN Infrastructure Expenses

IO River

Common Infrastructure ExpensesYour first step in optimizing CDN expenses isn’t to look for the best-priced solution but to remember that a cheaper price isn’t always the best deal. If your traffic is mostly static, you may be able to meet all your needs with a less expensive CDN that provides content distribution services.

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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. The Replay Tester tool samples raw traffic streams from Mantis.

Traffic 353
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Supporting Diverse ML Systems at Netflix

The Netflix TechBlog

Berg , Romain Cledat , Kayla Seeley , Shashank Srikanth , Chaoying Wang , Darin Yu Netflix uses data science and machine learning across all facets of the company, powering a wide range of business applications from our internal infrastructure and content demand modeling to media understanding. ETL workflows), as well as downstream (e.g.

Systems 226
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How to Reduce Your CDN Infrastructure Expenses

IO River

Common Infrastructure ExpensesYour first step in optimizing CDN expenses isn’t to look for the best-priced solution but to remember that a cheaper price isn’t always the best deal. If your traffic is mostly static, you may be able to meet all your needs with a less expensive CDN that provides content distribution services.

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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. For example, the artwork service is separate from the video metadata service, but we need the data from both in the detail key. Replay Testing Enter replay testing.

Latency 233
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The road to observability with OpenTelemetry demo part 1: Identifying metrics and traces

Dynatrace

But its underlying goal is quite humble and straightforward: it wants to enable you to observe an IT system (for example, a web application, infrastructure, or services) and gain insight to its behavior, such as performance, error rates, hot spots of executed instructions in code, and more.

Metrics 185
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Elasticsearch Indexing Strategy in Asset Management Platform (AMP)

The Netflix TechBlog

To avoid the ES query for the list of indices for every indexing request, we keep the list of indices in a distributed cache. We refresh this cache whenever a new index is created for the next time bucket, so that new assets will be indexed appropriately. Snippet of the index mapping Fig 4.

Strategy 258