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Orchestrating Data/ML Workflows at Scale With Netflix Maestro

The Netflix TechBlog

Meson was based on a single leader architecture with high availability. As the usage increased, we had to vertically scale the system to keep up and were approaching AWS instance type limits. increasing at > 100% a year, the need for a scalable data workflow orchestrator has become paramount for Netflix’s business needs.

Java 202
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5 key areas for tech leaders to watch in 2020

O'Reilly

This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. Software architecture, infrastructure, and operations are each changing rapidly. Exhibit A: Java-related usage dropped by a noteworthy 13% between 2018 and 2019.

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Sponsored Post: InterviewCamp.io, Scrapinghub, Fauna, Sisu, Educative, PA File Sight, Etleap, Triplebyte, Stream

High Scalability

Learn the stuff they don't teach you in the AWS docs. Filter out the distracting hype, and focus on the parts of AWS that you'd be foolish not to use. Learn the Good Parts of AWS. Created by former senior-level AWS engineers of 15 years. Client libraries are available for Node, Ruby, Python, PHP, Go, Java and.NET.

Education 100
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Optimizing data warehouse storage

The Netflix TechBlog

By Anupom Syam Background At Netflix, our current data warehouse contains hundreds of Petabytes of data stored in AWS S3 , and each day we ingest and create additional Petabytes. Some of the optimizations are prerequisites for a high-performance data warehouse.

Storage 203