Remove Big Data Remove Scalability Remove Tuning
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Write Optimized Spark Code for Big Data Applications

DZone

Apache Spark is a powerful open-source distributed computing framework that provides a variety of APIs to support big data processing. In addition, pySpark applications can be tuned to optimize performance and achieve better execution time, scalability, and resource utilization.

Big Data 173
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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 technique facilitates validation on multiple fronts.

Traffic 343
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How Netflix uses eBPF flow logs at scale for network insight

The Netflix TechBlog

Summary Providing network insight into the cloud network infrastructure using eBPF flow logs at scale is made possible with eBPF and a highly scalable and efficient flow collection pipeline. After several iterations of the architecture and some tuning, the solution has proven to be able to scale.

Network 326
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Building and Scaling Data Lineage at Netflix to Improve Data Infrastructure Reliability, and…

The Netflix TechBlog

Central engineering teams provide paved paths (secure, vetted and supported options) and guard rails to help reduce variance in choices available for tools and technologies to support the development of scalable technical architectures.

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Bulldozer: Batch Data Moving from Data Warehouse to Online Key-Value Stores

The Netflix TechBlog

Data scientists and engineers collect this data from our subscribers and videos, and implement data analytics models to discover customer behaviour with the goal of maximizing user joy. The processed data is typically stored as data warehouse tables in AWS S3. Moving data with Bulldozer at Netflix.

Latency 248
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Conducting log analysis with an observability platform and full data context

Dynatrace

With the extent of observability data going beyond human capacity to manage, Grail is the first purpose-built causational data lakehouse that allows for immediate answers with cost-efficient, scalable storage. Business leaders can decide which logs they want to use and tune storage to their data needs.

Analytics 246
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A Recap of the Data Engineering Open Forum at Netflix

The Netflix TechBlog

This talk will delve into the creative solutions Netflix deploys to manage this high-volume, real-time data requirement while balancing scalability and cost. Last but not least, thank you to the organizers of the Data Engineering Open Forum: Chris Colburn , Xinran Waibel , Jai Balani , Rashmi Shamprasad , and Patricia Ho.