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Evolving from Rule-based Classifier: Machine Learning Powered Auto Remediation in Netflix Data…

The Netflix TechBlog

We have deployed Auto Remediation in production for handling memory configuration errors and unclassified errors of Spark jobs and observed its efficiency and effectiveness (e.g., For efficient error handling, Netflix developed an error classification service, called Pensive, which leverages a rule-based classifier for error classification.

Tuning 210
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What is a data lakehouse? Combining data lakes and warehouses for the best of both worlds

Dynatrace

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. This data lands in its original, raw form without requiring schema definition.

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Comparisons of Proxies for MySQL

Percona

When designing an architecture, many components need to be considered before deciding on the best solution. In this scenario, it is also crucial to be efficient in resource utilization and scaling with frugality. Let us take a look also the latency: Here the situation starts to be a little bit more complicated.

Games 124
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Optimizing Video Streaming CDN Architecture for Cost Reduction and Enhanced Streaming Performance

IO River

Now, with viewers all over the world expecting flawless and high-definition streaming, video providers have their work cut out for them. This type of traffic originates directly from the server, making it more challenging to handle due to latency and server load considerations; it’s hard but not impossible.Â

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Optimizing Video Streaming CDN Architecture for Cost Reduction and Enhanced Streaming Performance

IO River

Now, with viewers all over the world expecting flawless and high-definition streaming, video providers have their work cut out for them. This type of traffic originates directly from the server, making it more challenging to handle due to latency and server load considerations; it’s hard but not impossible.

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Practical API Design at Netflix, Part 1: Using Protobuf FieldMask

The Netflix TechBlog

Remote calls are never free; they impose extra latency, increase probability of an error, and consume network bandwidth. How can we achieve a similar functionality when designing our gRPC APIs? By default, gRPC uses protobuf as its IDL (interface definition language) and data serialization protocol.

Design 245
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How We Optimized Performance To Serve A Global Audience

Smashing Magazine

These pages serve as a pivotal tool in our digital marketing strategy, not only providing valuable information about our services but also designed to be easily discoverable through search engines. Core Web Vital metrics definitions. A cornerstone of our business model lies in the development of effective landing pages.