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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 344
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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 356
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Cache and Prizes

Alex Russell

Browsers will cache tools popular among vocal, leading-edge developers. There's plenty of space for caching most popular frameworks. The best available proxy data also suggests that shared caches would have a minimal positive effect on performance. Browsers now understand the classic shared HTTP cache behaviour as a privacy bug.

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Introducing Netflix TimeSeries Data Abstraction Layer

The Netflix TechBlog

Handling Bursty Traffic : Managing significant traffic spikes during high-demand events, such as new content launches or regional failovers. Sharded Infrastructure : Leveraging the Data Gateway Platform , we can deploy single-tenant and/or multi-tenant infrastructure with the necessary access and traffic isolation.

Latency 236
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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 248
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MySQL Performance Tuning 101: Key Tips to Improve MySQL Database Performance

Percona

While there is no magic bullet for MySQL performance tuning, there are a few areas that can be focused on upfront that can dramatically improve the performance of your MySQL installation. What are the Benefits of MySQL Performance Tuning? A finely tuned database processes queries more efficiently, leading to swifter results.

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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

Effective management of memory stores with policies like LRU/LFU proactive monitoring of the replication process and advanced metrics such as cache hit ratio and persistence indicators are crucial for ensuring data integrity and optimizing Redis’s performance. Cache Hit Ratio The cache hit ratio represents the efficiency of cache usage.

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