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Migrating Netflix to GraphQL Safely

The Netflix TechBlog

Before GraphQL: Monolithic Falcor API implemented and maintained by the API Team Before moving to GraphQL, our API layer consisted of a monolithic server built with Falcor. A single API team maintained both the Java implementation of the Falcor framework and the API Server. To launch Phase 1 safely, we used AB Testing.

Traffic 358
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ABAC on SpiceDB: Enabling Netflix’s Complex Identity Types

The Netflix TechBlog

The community’s excitement and interest became apparent through comments, reactions, and conversations on the SpiceDB Discord server. Over time, each node caches a subset of subproblems to support a distributed cache, reduce the datastore load, and achieve SpiceDB’s horizontal scalability. with which to experiment.

Cache 257
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Introducing Netflix’s Key-Value Data Abstraction Layer

The Netflix TechBlog

In this example configuration, the ngsegment namespace is backed by both a Cassandra cluster and an EVCache caching layer, allowing for highly durable persistent storage and lower-latency point reads. "persistence_configuration":[ Developers just provide their data problem rather than a database solution!

Latency 254
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Is ANALYZE TABLE Safe on a Busy MySQL Database Server?

Percona

MySQL Server – Community Edition The problem applies to all versions of the upstream MySQL Community up to 8.0.23. Here is an example scenario you may end up here: mysql > select @@version,@@version_comment; + --+ + | @@version | @@version_comment | + --+ + | 5.7.43 | MySQL Community Server (GPL) | + --+ + 1 row in set (0.00

Servers 103
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GraphQL Search Indexing

The Netflix TechBlog

By batching and parallelizing the requests to retrieve many creatives via a single query to the GraphQL server, we can optimize the index building process. At a minimum, we extract all of the type definitions from the GraphQL query and map them to a schema for Elasticsearch to use. The graph has two requirements. Search Indexer.

Cache 248
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Measure What You Impact, Not What You Influence

CSS Wizardry

What if another file on the critical path had dropped out of cache and needed fetching from the network? We can take reasonable measures (always refresh from a cold cache; throttle to a constant network speed), but we can’t account for everything. What if we incurred a DNS lookup this time that we hadn’t the previous time?

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Image Processing Insights

KeyCDN

Our solution doesn't require any change on the origin server. Properly size images: Scaled images will definitely reduce the overall website size. Even if a browser doesn't support WebP, our WebP caching feature will ensure that the correct image format is delivered. Our Image Processing service makes it easy to do that.