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Our First Netflix Data Engineering Summit

The Netflix TechBlog

Engineers from across the company came together to share best practices on everything from Data Processing Patterns to Building Reliable Data Pipelines. The result was a series of talks which we are now sharing with the rest of the Data Engineering community! In this video, Sr. In this video, Sr.

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Optimizing Vector Search Performance With Elasticsearch

DZone

As data engineers, we are tasked with implementing these sophisticated solutions, ensuring organizations can derive actionable insights from vast datasets. This article explores the intricacies of vector search using Elasticsearch , focusing on effective techniques and best practices to optimize performance.

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How Data Inspires Building a Scalable, Resilient and Secure Cloud Infrastructure At Netflix

The Netflix TechBlog

While our engineering teams have and continue to build solutions to lighten this cognitive load (better guardrails, improved tooling, …), data and its derived products are critical elements to understanding, optimizing and abstracting our infrastructure. Give us a holler if you are interested in a thought exchange.

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Netflix at AWS re:Invent 2019

The Netflix TechBlog

We showcase our case studies, open-source tools in benchmarking, and how we ensure that AWS cloud services are serving our needs without compromising on tail latencies. In order to maintain performance, benchmarking is a vital part of our system’s lifecycle.

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Netflix at AWS re:Invent 2019

The Netflix TechBlog

We showcase our case studies, open-source tools in benchmarking, and how we ensure that AWS cloud services are serving our needs without compromising on tail latencies. In order to maintain performance, benchmarking is a vital part of our system’s lifecycle.

AWS 100
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Netflix at AWS re:Invent 2019

The Netflix TechBlog

We showcase our case studies, open-source tools in benchmarking, and how we ensure that AWS cloud services are serving our needs without compromising on tail latencies. In order to maintain performance, benchmarking is a vital part of our system’s lifecycle.

AWS 100
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Zendesk Moves from DynamoDB to MySQL and S3 to Save over 80% in Costs

InfoQ

Zendesk reduced its data storage costs by over 80% by migrating from DynamoDB to a tiered storage solution using MySQL and S3. The company considered different storage technologies and decided to combine the relational database and the object store to strike a balance between querybility and scalability while keeping the costs down.

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