Remove Architecture Remove Data Engineering Remove Performance Remove Traffic
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Orchestrating Data/ML Workflows at Scale With Netflix Maestro

The Netflix TechBlog

We started seeing signs of scale issues, like: Slowness during peak traffic moments like 12 AM UTC, leading to increased operational burden. Meson was based on a single leader architecture with high availability. At Netflix, the peak traffic load can be a few orders of magnitude higher than the average load.

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Hyper Scale VPC Flow Logs enrichment to provide Network Insight

The Netflix TechBlog

VPC Flow Logs VPC Flow Logs is an AWS feature that captures information about the IP traffic going to and from network interfaces in a VPC. At Netflix we publish the Flow Log data to Amazon S3. We also adjusted the frequency in which Spark app instances are spun up such that any backlog would burn off during a trough in traffic.

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

The Netflix TechBlog

As a micro-service owner, a Netflix engineer is responsible for its innovation as well as its operation, which includes making sure the service is reliable, secure, efficient and performant. In the Performance space, our data teams currently focus on the quality of experience on Netflix-enabled devices.

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Experimentation is a major focus of Data Science across Netflix

The Netflix TechBlog

To learn about Analytics and Viz Engineering, have a look at Analytics at Netflix: Who We Are and What We Do by Molly Jackman & Meghana Reddy and How Our Paths Brought Us to Data and Netflix by Julie Beckley & Chris Pham. Curious to learn about what it’s like to be a Data Engineer at Netflix?

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How HubSpot Uses Apache Kafka Swimlanes for Timely Processing of Workflow Actions

InfoQ

HubSpot adopted routing messages over multiple Kafka topics (called swimlanes) for the same producer to avoid the build-up in the consumer group lag and prioritize the processing of real-time traffic. By Rafal Gancarz

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Sustainability at AWS re:Invent 2022 All the talks and videos I could find…

Adrian Cockcroft

STP213 Scaling global carbon footprint management — Blake Blackwell Persefoni Manager Data Engineering and Michael Floyd AWS Head of Sustainability Solutions. SUS302 Optimizing architectures for sustainability — Katja Philipp AWS SA and Szymon Kochanski AWS SA. SUS209 — there was no talk with this code.

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How LinkedIn Serves Over 4.8 Million Member Profiles per Second

InfoQ

LinkedIn introduced Couchbase as a centralized caching tier for scaling member profile reads to handle increasing traffic that has outgrown their existing database cluster. The new solution achieved over 99% hit rate, helped reduce tail latencies by more than 60% and costs by 10% annually. By Rafal Gancarz

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