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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. To launch Phase 1 safely, we used AB Testing. How does it work?

Traffic 358
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Re-Architecting the Video Gatekeeper

The Netflix TechBlog

The Tech Hollow , an OSS technology we released a few years ago, has been best described as a total high-density near cache : Total : The entire dataset is cached on each node?—?there there is no eviction policy, and there are no cache misses. Near : the cache exists in RAM on any instance which requires access to the dataset.

Cache 184
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Introducing Netflix’s Key-Value Data Abstraction Layer

The Netflix TechBlog

Central to this infrastructure is our use of multiple online distributed databases such as Apache Cassandra , a NoSQL database known for its high availability and scalability. In addition to storing item size information in the page token, the server also estimates the average item size for a given namespace and caches it locally.

Latency 254
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CSS and Network Performance

CSS Wizardry

This is definitely a bug in WebKit/Blink—missing quotes shouldn’t hide the @import ed stylesheet from the Preload Scanner. Let’s call that app.css : This carries three key inefficiencies: Any given page will only use a small subset of styles found in app.css : we’re almost definitely downloading more CSS than we need.

Network 279
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Managing the Dynatrace API across multiple thousand environments

Dynatrace

It would definitely make my life easier! This would also mean I need a service that detects any new environments, creates API tokens for them, refreshes API tokens on expiry and ensures that there is always a valid API token available. These parameters are then combined into the cache key to query the TenantCache.

Cache 236
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Observability vs. monitoring: What’s the difference?

Dynatrace

Monitoring , by textbook definition, is the process of collecting, analyzing, and using information to track a program’s progress toward reaching its objectives and to guide management decisions. Examples include a spike in memory utilization, a decrease in cache hit ratio, or an increase in CPU utilization.

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How multicloud observability boosts cloud performance at Tractor Supply Co.

Dynatrace

We also couldn’t compromise on performance and availability.” But “the benefits are definitely worth the effort, provided you do it in a strategic way,” Bollampally said. . “Over the last few years, the priorities have shifted with the ways consumers are shopping,” he said.

Cloud 182