The Netflix TechBlog

FEBRUARY 9, 2022

see “data pipeline” Intro The problem of managing scheduled workflows and their assets is as old as the use of cron daemon in early Unix operating systems. The design of a cron job is simple, you take some system command, you pick the schedule to run it on and you are done. workflow ?—?see Example: 0 0 * * MON /home/alice/backup.sh

Storage 201

Storage Data Engineering Testing Code 201

The Netflix TechBlog

JANUARY 11, 2022

To directly support great decision-making throughout the company, there are a number of data science teams at Netflix that partner directly with Product Managers, engineering teams, and other business units to design, execute, and learn from experiments. Curious to learn about what it’s like to be a Data Engineer at Netflix?

Innovation 243

Innovation Metrics Engineering Testing 243

The Netflix TechBlog

MARCH 7, 2024

The Machine Learning Platform (MLP) team at Netflix provides an entire ecosystem of tools around Metaflow , an open source machine learning infrastructure framework we started, to empower data scientists and machine learning practitioners to build and manage a variety of ML systems.

Systems 226

Systems Media Cache Open Source 226

The Netflix TechBlog

MARCH 2, 2021

At Netflix, our data scientists span many areas of technical specialization, including experimentation, causal inference, machine learning, NLP, modeling, and optimization. Together with data analytics and data engineering, we comprise the larger, centralized Data Science and Engineering group.

Analytics 207

Analytics C++ Innovation Engineering 207

The Netflix TechBlog

DECEMBER 21, 2020

At this scale, we can gain a significant amount of performance and cost benefits by optimizing the storage layout (records, objects, partitions) as the data lands into our warehouse. We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits.

Storage 203

Storage Latency Efficiency Data Engineering 203

O'Reilly

FEBRUARY 18, 2020

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. The shift to cloud native design is transforming both software architecture and infrastructure and operations. Coincidence? to be wary of. Figure 1 (above).

Software Architecture 132

Software Architecture DevOps Data Engineering Architecture 132

The Netflix TechBlog

MARCH 25, 2019

Finally, imagine yourself in the role of a data platform reliability engineer tasked with providing advanced lead time to data pipeline (ETL) owners by proactively identifying issues upstream to their ETL jobs. Design a flexible data model ? —?Represent Enable seamless integration?—?

Infrastructure 219

Infrastructure Big Data Transportation Architecture 219

The Netflix TechBlog

SEPTEMBER 10, 2019

Our data scientists faced numerous challenges in our previous infrastructure. Complex business logic was embedded directly into the ETL pipelines by data engineers. In order to replicate results, scientists had to delve deep into the data, code, and documentation. Getting Data with the Metrics Repo 2.

Metrics 215

Metrics Architecture Infrastructure Innovation 215

High Scalability

APRIL 14, 2020

has hours of system design content. They also do live system design discussions every week. Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). this is going to be a challenging journey for any backend engineer! this is going to be a challenging journey for any backend engineer! Who's Hiring?

Education 105

Education Software Engineering Scalability Engineering 105

High Scalability

MAY 12, 2020

has hours of system design content. They also do live system design discussions every week. Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). this is going to be a challenging journey for any backend engineer! this is going to be a challenging journey for any backend engineer! Who's Hiring?

Education 102

Education Software Engineering Scalability Engineering 102

High Scalability

APRIL 28, 2020

has hours of system design content. They also do live system design discussions every week. Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). this is going to be a challenging journey for any backend engineer! this is going to be a challenging journey for any backend engineer! Who's Hiring?

Education 102

Education Software Engineering Scalability Engineering 102

High Scalability

MAY 26, 2020

has hours of system design content. They also do live system design discussions every week. Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). this is going to be a challenging journey for any backend engineer! this is going to be a challenging journey for any backend engineer! Who's Hiring?

Education 100

Education AWS Software Engineering Scalability 100

High Scalability

MARCH 30, 2020

has hours of system design content. They also do live system design discussions every week. Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). this is going to be a challenging journey for any backend engineer! this is going to be a challenging journey for any backend engineer! Who's Hiring?

Education 105

Education Software Engineering Engineering Big Data 105

High Scalability

MARCH 24, 2020

Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). You will be designing and implementing distributed systems : large-scale web crawling platform, integrating Deep Learning based web data extraction components, working on queue algorithms, large datasets, creating a development platform for other company departments, etc.

Education 105

Education Software Engineering Engineering Big Data 105

High Scalability

MARCH 17, 2020

Level up on in-demand technologies and prep for your interviews on Educative.io, featuring popular courses like the bestselling Grokking the System Design Interview. Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes. Try the 30-day free trial!

Education 105

Education Engineering Java Software Engineering 105

High Scalability

MARCH 3, 2020

Level up on in-demand technologies and prep for your interviews on Educative.io, featuring popular courses like the bestselling Grokking the System Design Interview. Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes. Try the 30-day free trial!

Education 114

Education Engineering Games Java 114

High Scalability

FEBRUARY 18, 2020

Level up on in-demand technologies and prep for your interviews on Educative.io, featuring popular courses like the bestselling Grokking the System Design Interview. Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes. Try the 30-day free trial!

Education 113

Education Engineering Games Java 113

High Scalability

FEBRUARY 9, 2020

Level up on in-demand technologies and prep for your interviews on Educative.io, featuring popular courses like the bestselling Grokking the System Design Interview. Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes. Try the 30-day free trial!

Education 108

Education Engineering Games Java 108

The Agile Manager

JULY 31, 2022

There are shadow IT teams of developers or data engineers that spring up in areas like operations or marketing because the captive IT function is slow, if not outright incapable, of responding to internal customer demand. These structures don’t just ignore feedback loops, they are designed to repress feedback.

Programming 59

Programming Engineering Data Engineering Innovation 59

The Netflix TechBlog

OCTOBER 18, 2022

increasing at > 100% a year, the need for a scalable data workflow orchestrator has become paramount for Netflix’s business needs. After perusing the current landscape of workflow orchestrators, we decided to develop a next generation system that can scale horizontally to spread the jobs across the cluster consisting of 100’s of nodes.

Java 202

Java Scalability Traffic Architecture 202

The Netflix TechBlog

NOVEMBER 22, 2019

4:45pm-5:45pm NFX 202 A day in the life of a Netflix Engineer Dave Hahn , SRE Engineering Manager Abstract : Netflix is a large, ever-changing ecosystem serving millions of customers across the globe through cloud-based systems and a globally distributed CDN.

AWS 100

AWS Entertainment Open Source Benchmarking 100

The Netflix TechBlog

NOVEMBER 22, 2019

4:45pm-5:45pm NFX 202 A day in the life of a Netflix Engineer Dave Hahn , SRE Engineering Manager Abstract : Netflix is a large, ever-changing ecosystem serving millions of customers across the globe through cloud-based systems and a globally distributed CDN.

AWS 100

AWS Entertainment Open Source Benchmarking 100

The Netflix TechBlog

MARCH 4, 2024

For efficient error handling, Netflix developed an error classification service, called Pensive, which leverages a rule-based classifier for error classification. To address these challenges, we have developed a new feature, called Auto Remediation , which integrates the rule-based classifier with an ML service.

Tuning 210

Tuning Efficiency Big Data Engineering 210

Abhishek Tiwari

FEBRUARY 26, 2020

There are no hard-and-fast rules to figure out interdependency between technology architecture and engineering organization but below is what I think can really work well for product startup. Containers for local development and probably in UAT. Introduce site-reliability engineering best-practices (SLI/SLOs).

Technology 81

Technology Technology Architecture Engineering 81

InfoQ

AUGUST 3, 2023

The GA is a follow-up to the earlier announcement of the development of the infrastructure. AWS recently announced the general availability (GA) of Amazon EC2 P5 instances powered by the latest NVIDIA H100 Tensor Core GPUs suitable for users that require high performance and scalability in AI/ML and HPC workloads. By Steef-Jan Wiggers

AWS 77

AWS Availability Scalability Infrastructure 77

All Things Distributed

NOVEMBER 15, 2016

Put simply, data is not always readily available and accessible to organizational end users. The data infrastructure to collect, store, and process data is geared primarily towards developers and IT professionals whereas insights need to be derived by not just technical professionals but also non-technical business users.

Analytics 152

Analytics Availability Media Social Media 152

InfoQ

DECEMBER 29, 2023

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.

Storage 134

Storage Scalability Database Technology 134

Abhishek Tiwari

JULY 20, 2019

One thing stand-out to me is being intentional and practical about your engineering organisation design. First and foremost, being intentional about organisation design requires good and honest discussions about all possible option. Design your teams to stay small and iterate fast.

Engineering 61

Engineering Retail Airlines Healthcare 61

Testsigma

NOVEMBER 28, 2019

SoftwareTestingHelp has been around since 2006 and has a large number of blogs, articles, courses and ebooks covering a wide variety of topics on testing, automation and development. Udacity Udacity provides nanodegree programs on all automation languages like C++, Machine Learning, Data engineer, Robotics and more.

Website 53

Website Testing Programming Automotive 53

Abhishek Tiwari

DECEMBER 27, 2017

In 2018, we will see new data integration patterns those rely either on a shared high-performance distributed storage interface ( Alluxio ) or a common data format ( Apache Arrow ) sitting between compute and storage. Machine learning meets data integration.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

The Netflix TechBlog

NOVEMBER 22, 2019

4:45pm-5:45pm NFX 202 A day in the life of a Netflix Engineer Dave Hahn , SRE Engineering Manager Abstract : Netflix is a large, ever-changing ecosystem serving millions of customers across the globe through cloud-based systems and a globally distributed CDN.

AWS 37

AWS Entertainment Open Source Benchmarking 37

Abhishek Tiwari

JULY 12, 2018

Data Pipeline A data pipeline is a software that ingests data from multiple sources, transforms it and finally makes it available to internal or external products. Unfortunately, building data pipelines remains a daunting, time-consuming, and costly activity. Depending on frameworks, data processing units (a.k.a

Latency 63

Latency Analytics Scalability Engineering 63

Abhishek Tiwari

APRIL 14, 2018

Developing Extract–transform–load (ETL) workflow is a time-consuming activity yet a very important component of data warehousing process. The process to develop ETL workflow is often ad-hoc, complex, trial and error based. First and foremost, modeling ETL process helps in designing an efficient, robust and evolvable ETL.

Best Practices 40

Best Practices Database Design Efficiency 40

High Scalability

NOVEMBER 12, 2019

Grokking the System Design Interview is a popular course on Educative.io (taken by 20,000+ people) that's widely considered the best System Design interview resource on the Internet. Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes.

Education 22

Education Java Software Engineering Engineering 22

High Scalability

JANUARY 22, 2020

Level up on in-demand technologies and prep for your interviews on Educative.io, featuring popular courses like the bestselling Grokking the System Design Interview. Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes. Try the 30-day free trial!

Education 22

Education Java Software Engineering Engineering 22

High Scalability

OCTOBER 29, 2019

Grokking the System Design Interview is a popular course on Educative.io (taken by 20,000+ people) that's widely considered the best System Design interview resource on the Internet. Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes.

Education 22

Education Java Software Engineering Engineering 22

High Scalability

FEBRUARY 6, 2020

Level up on in-demand technologies and prep for your interviews on Educative.io, featuring popular courses like the bestselling Grokking the System Design Interview. Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes. Try the 30-day free trial!

Education 21

Education Java Software Engineering Engineering 21