The Netflix TechBlog

JUNE 7, 2021

At much less than 1% of CPU and memory on the instance, this highly performant sidecar provides flow data at scale for network insight. The sidecar has been implemented by leveraging the highly performant eBPF along with carefully chosen transport protocols to consume less than 1% of CPU and memory on any instance in our fleet.

Network 327

Network Transportation AWS Cloud 327

The Netflix TechBlog

MARCH 4, 2024

Operational automation–including but not limited to, auto diagnosis, auto remediation, auto configuration, auto tuning, auto scaling, auto debugging, and auto testing–is key to the success of modern data platforms. Auto Remediation generates recommendations by considering both performance (i.e., Multi-objective optimizations.

Tuning 215

Tuning Efficiency Big Data Engineering 215

The Netflix TechBlog

OCTOBER 27, 2020

Usually Data scientists and engineers write Extract-Transform-Load (ETL) jobs and pipelines using big data compute technologies, like Spark or Presto , to process this data and periodically compute key information for a member or a video. The processed data is typically stored as data warehouse tables in AWS S3.

Latency 249

Latency Storage Big Data Tuning 249

Dynatrace

MARCH 11, 2021

I took a big-data-analysis approach, which started with another problem visualization. I wanted to understand how I could tune Dynatrace’s problem detection, but to do that I needed to understand the situation first. To achieve that I took two approaches: Visualizing historic problem data via a “Swimlane Visualization”.

Tuning 264

Tuning Architecture Monitoring Big Data 264

Dynatrace

FEBRUARY 16, 2023

As observability and security data converge in modern multicloud environments, there’s more data than ever to orchestrate and analyze. The goal is to turn more data into insights so the whole organization can make data-driven decisions and automate processes.

Analytics 246

Analytics Innovation Metrics Database 246

The Netflix TechBlog

APRIL 29, 2019

The service that orchestrates failover uses numpy and scipy to perform numerical analysis, boto3 to make changes to our AWS infrastructure, rq to run asynchronous workloads and we wrap it all up in a thin layer of Flask APIs. Our Infrastructure Security team leverages Python to help with IAM permission tuning using Repokid.

Open Source 280

Open Source Network Infrastructure Big Data 280

The Netflix TechBlog

JUNE 20, 2024

In this talk, Jessica Larson shares her takeaways from building a new data platform post-GDPR. Clark Wright, Staff Analytics Engineer at Airbnb, talked about the concept of Data Quality Score at Airbnb. To handle errors efficiently, Netflix developed a rule-based classifier for error classification called “Pensive.” Until next time!

Data Engineering 204

Data Engineering Engineering Entertainment Software Engineering 204

The Netflix TechBlog

MAY 26, 2020

And in order to gain visibility into these logs, we need to somehow ingest and enrich this data. It is easier to tune a large Spark job for a consistent volume of data. In other words, we are able to ensure that our Spark app does not “eat” more data than it was tuned to handle. We named this library Sqooby.

Network 153

Network Tuning AWS Traffic 153

Dynatrace

APRIL 20, 2023

Causal AI—which brings AI-enabled actionable insights to IT operations—and a data lakehouse, such as Dynatrace Grail , can help break down silos among ITOps, DevSecOps, site reliability engineering, and business analytics teams. Business leaders can decide which logs they want to use and tune storage to their data needs.

Analytics 246

Analytics Infrastructure Storage Architecture 246

The Netflix TechBlog

JULY 21, 2022

We at Netflix, as a streaming service running on millions of devices, have a tremendous amount of data about device capabilities/characteristics and runtime data in our big data platform. With large data, comes the opportunity to leverage the data for predictive and classification based analysis.

Big Data 185

Big Data Cache Engineering Data Engineering 185

The Netflix TechBlog

JULY 26, 2021

Operational Reporting is a reporting paradigm specialized in covering high-resolution, low-latency data sets, serving detailed day-to-day activities¹ and processes of a business domain. The compaction process is needed to optimize the performance of downstream queries on the business view as well as lower costs of S3 GET OBJECT operations.

Big Data 256

Big Data Government Processing Analytics 256

The Netflix TechBlog

DECEMBER 21, 2020

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. We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits.

Storage 209

Storage Latency Efficiency Data Engineering 209

The Netflix TechBlog

OCTOBER 18, 2022

by Jun He , Akash Dwivedi , Natallia Dzenisenka , Snehal Chennuru , Praneeth Yenugutala , Pawan Dixit At Netflix, Data and Machine Learning (ML) pipelines are widely used and have become central for the business, representing diverse use cases that go beyond recommendations, predictions and data transformations.

Java 209

Java Scalability Traffic Architecture 209

Scalegrid

JANUARY 10, 2025

They keep the features that developers like but can handle much more data, similar to NoSQL systems. Notably, they simplify handling big data flows, offer consistent transactions, and sustain high performance even when they’re used for real-time data analysis and complex queries.

Database 130

Database Scalability Best Practices Blockchain 130

The Netflix TechBlog

NOVEMBER 20, 2023

For example, a job would reprocess aggregates for the past 3 days because it assumes that there would be late arriving data, but data prior to 3 days isn’t worth the cost of reprocessing. Backfill: Backfilling datasets is a common operation in big data processing.

Processing 216

Processing Big Data Efficiency Engineering 216

Rigor

JANUARY 13, 2020

Reading time 1 min Why share the library of the web performance books while there’s a substantial collection of fantastic websites and articles on the net? High Performance Browser Networking. This book is about performance problems and the various technologies created to fight them. High Performance Websites.

Performance 75

Performance Social Media Website Website Performance 75

All Things Distributed

MARCH 28, 2011

We see that with our Amazon customers; when they hear a great tune on a radio they may identify it using the Shazam or Soundhound apps on their mobile phone and buy that song instantly from the Amazon MP3 store. Driving down the cost of Big-Data analytics. Introducing the AWS South America (Sao Paulo) Region.

AWS 121

AWS Cloud Storage Internet 121

Percona

JANUARY 19, 2023

While the technologies have evolved and matured enough, there are still some people thinking that MySQL is only for small projects or that it can’t perform well with large tables. With disks being faster nowadays and CPU and memory resources being cheaper, we could easily say MySQL can handle TBs of data with good performance.

Open Source 111

Open Source Storage Database Big Data 111

O'Reilly

SEPTEMBER 19, 2023

Each time, the underlying implementation changed a bit while still staying true to the larger phenomenon of “Analyzing Data for Fun and Profit.” ” They weren’t quite sure what this “data” substance was, but they’d convinced themselves that they had tons of it that they could monetize.

Hardware 134

Hardware Storage Big Data Blockchain 134

InfoQ

APRIL 15, 2024

He specifically delved into Venice DB, the NoSQL data store used for feature persistence. At the QCon London 2024 conference, Félix GV from LinkedIn discussed the AI/ML platform powering the company’s products. By Rafal Gancarz

Artificial Intelligence 109

Artificial Intelligence Big Data Data Engineering Latency 109

Brendan Gregg

APRIL 30, 2018

In this year's CFP we’re looking for topics covering the latest trends and best practices in cloud computing, containerization, machine learning, big data, infrastructure, scalability, DevOps, IT management, automation, reliability, monitoring, performance tuning, security, databases, programming, datacenters, and more.

DevOps 41

DevOps Network Best Practices Programming 41

SQL Server According to Bob

FEBRUARY 15, 2018

Microsoft engineering is actually sending quite a few folks over the Atlantic to come talk about SQL Server 2017, SQL Server on Linux, GDPR, Performance, Security, Azure Data Lake, Azure SQL Database, Azure SQL Data Warehouse, and Azure CosmosDB. Best practices on Building a Big Data Analytics Solution – Michael Rys.

Engineering 40

Engineering Azure Best Practices Servers 40

Brendan Gregg

APRIL 29, 2018

In this year's CFP we’re looking for topics covering the latest trends and best practices in cloud computing, containerization, machine learning, big data, infrastructure, scalability, DevOps, IT management, automation, reliability, monitoring, performance tuning, security, databases, programming, datacenters, and more.

DevOps 40

DevOps Network Best Practices Programming 40

The Netflix TechBlog

OCTOBER 15, 2019

Delta is an eventual consistent, event driven, data synchronization and enrichment platform. Existing Solutions Dual Writes In order to keep two datastores in sync, one could perform a dual write, which is executing a write to one datastore following a second write to the other. Please stay tuned.

Transportation 197

Transportation Architecture Processing Storage 197

All Things Distributed

NOVEMBER 30, 2016

Effectively applying AI involves extensive manual effort to develop and tune many different types of machine learning and deep learning algorithms (e.g. automatic speech recognition, natural language understanding, image classification), collect and clean the training data, and train and tune the machine learning models.

AWS 152

AWS Lambda Artificial Intelligence Mobile 152

Rigor

SEPTEMBER 11, 2019

Reading time 16 min Whether you’re a web performance expert, an evangelist for the culture of performance, a web engineer incorporating performance into your process, or someone new to the web performance entirely, you probably identify as curious, excited about new ideas, and always learning. Rick Byers.

Performance 89

Performance Education Google Website 89

Adrian Cockcroft

NOVEMBER 18, 2024

In this lightning talk, learn how customers are using AWS to perform millions of calculations on real-time grid data to execute the scenario analysis, simulations, and operational planning necessary to operate a dynamic power grid. This presentation is brought to you by Wherobots, an AWS Partner. Discover how Scepter, Inc.

AWS 98

AWS Energy Lambda Government 98

Percona

JANUARY 14, 2019

With the latest ClickHouse version, all of these features are available, but some of them may not perform fast enough. Currently, an issue has been opened to make the “tailing” based on the primary key much faster: slow order by primary key with small limit on big data. Updating a single message in the past (e.g.

Database 48

Database Analytics Blockchain Healthcare 48