The Netflix TechBlog

APRIL 29, 2019

Various software systems are needed to design, build, and operate this CDN infrastructure, and a significant number of them are written in Python. Orchestration The Big Data Orchestration team is responsible for providing all of the services and tooling to schedule and execute ETL and Adhoc pipelines.

Open Source 280

Open Source Network Infrastructure Big Data 280

The Netflix TechBlog

MARCH 2, 2021

Our experimentation and causal inference focused data scientists help shape business decisions, product innovations, and engineering improvements across our service. In this post, we discuss a day in the life of experimentation and causal inference data scientists at Netflix, interviewing some of our stunning colleagues along the way.

Analytics 216

Analytics C++ Innovation Engineering 216

All Things Distributed

DECEMBER 13, 2016

UK companies are using AWS to innovate across diverse industries, such as energy, manufacturing, medicaments, retail, media, and financial services and the UK is home to some of the world's most forward-thinking businesses. Take Peterborough City Council as an example. Fraud.net is a good example of this.

AWS 155

AWS Cloud Artificial Intelligence IoT 155

The Netflix TechBlog

SEPTEMBER 10, 2019

Instead of relying on engineers to productionize scientific contributions, we’ve made a strategic bet to build an architecture that enables data scientists to easily contribute. The two main challenges with this approach are establishing an easy contribution framework and handling Netflix’s scale of data.

Metrics 221

Metrics Architecture Infrastructure Innovation 221

Dynatrace

OCTOBER 14, 2021

Gartner defines AIOps as the combination of “big data and machine learning to automate IT operations processes, including event correlation, anomaly detection, and causality determination.” But what is AIOps, exactly? And how can it support your organization? What is AIOps?

Artificial Intelligence 246

Artificial Intelligence DevOps Innovation Metrics 246

The Netflix TechBlog

FEBRUARY 16, 2021

However, with our rapid product innovation speed, the whole approach experienced significant challenges: Business Complexity: The existing SKU management solution was designed years ago when the engagement rules were simple?—?three We value knowledge sharing, and it’s the drive for industry innovation.

Mobile 218

Mobile Engineering Infrastructure Scalability 218

The Netflix TechBlog

JUNE 1, 2021

clinical data was often small enough to fit into memory on an average computer and only in rare cases would its computation require any technical ingenuity or massive computing power. There was not enough scope to explore the distributed and large-scale computing challenges that usually come with big data processing.

Data Engineering 130

Data Engineering Engineering Big Data Healthcare 130

Scalegrid

FEBRUARY 8, 2024

Their design emphasizes increasing availability by spreading out files among different nodes or servers — this approach significantly reduces risks associated with losing or corrupting data due to node failure. These distributed storage services also play a pivotal role in big data and analytics operations.

Storage 130

Storage Systems Big Data Azure 130

All Things Distributed

MARCH 28, 2011

What used to be only available in physical formats now often has digital equivalents and this digitalization is driving great new innovations. Amazon S3 uses advanced techniques to provide very high durability and reliability; for example it is designed to provide 99.999999999% durability of objects over a given year.

AWS 123

AWS Cloud Storage Internet 123

All Things Distributed

NOVEMBER 15, 2016

To scale to a larger number of users and support the growth in data volume spurred by social media, web, mobile, IoT, ad-tech, and ecommerce workloads, these tools require customers to invest in even more infrastructure to maintain performance. Powered by Innovation. Enter Amazon QuickSight.

Analytics 126

Analytics Availability Media Social Media 126

All Things Distributed

NOVEMBER 15, 2010

Today Amazon Web Services takes another step on the continuous innovation path by announcing a new Amazon EC2 instance type: The Cluster GPU Instance. We believe that making these GPU resources available for everyone to use at low cost will drive new innovation in the application of highly parallel programming models. Comments ().

AWS 125

AWS Programming Latency Architecture 125

Scalegrid

MARCH 14, 2024

This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. A hybrid cloud strategy could be your answer. This article will explore hybrid cloud benefits and steps to craft a plan that aligns with your unique business challenges.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

All Things Distributed

JUNE 29, 2011

Often we think about innovation as going after new unchartered territories, but it is also important to innovate in those existing dimensions that will remain important for customers. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Driving down the cost of Big-Data analytics.

AWS 84

AWS Retail Innovation Strategy 84

All Things Distributed

APRIL 27, 2011

Technology infuses all of our teams, all of our processes, our decision-making, and our approach to innovation in each of our businesses. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Driving down the cost of Big-Data analytics. It is deeply integrated into everything we do.

Technology 129

Technology Technology AWS Storage 129

Rigor

JANUARY 13, 2020

Take, for example, The Web Almanac , the golden collection of Big Data combined with the collective intelligence from most of the authors listed below, brilliantly spearheaded by Google’s @rick_viscomi. Designing for Performance. High Performance Responsive Design. High Performance Browser Networking. Time is Money.

Performance 75

Performance Social Media Website Website Performance 75

O'Reilly

JANUARY 13, 2020

The biggest stories in Swift last year were the releases of SwiftUI , Apple’s newest framework for designing user interfaces across all Apple devices, and Swift for TensorFlow , a platform for deep learning and differentiable programming integrating Google’s TensorFlow framework with Swift. ” What lies ahead?

Programming 144

Programming Java Google C++ 144

All Things Distributed

JANUARY 19, 2011

A whole range of innovative new services, ranging from media conversion to geo-location-context services have been developed by our customers using this flexibility and are available in the AWS ecosystem. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Driving down the cost of Big-Data analytics.

AWS 100

AWS Cloud Java Scalability 100

All Things Distributed

APRIL 23, 2010

It will drive rapid innovation and well see a wealth of mobile, web and desktop applications arrive that we couldnt dream about a few years ago, and these building blocks are the enablers of that. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Driving down the cost of Big-Data analytics.

AWS 60

AWS Storage Cloud Big Data 60

All Things Distributed

MAY 18, 2010

Some of the biggest innovations inside Amazon S3 have been how to use software techniques to mask many of the issues that would easily have paralyzed every other storage system. The same goes for durability; core to the design of S3 is that we go to great lengths to never, ever lose a single bit. Relaxing Durability.

Storage 64

Storage Cloud AWS Scalability 64

Highly Scalable

MARCH 10, 2015

More specifically, the article was inspired by three major case studies from Albert Heijn [KOK07], the largest supermarket chain in the Netherlands, Zara [CA12], an international apparel retailer, and RueLaLa [JH14], an innovative online fashion retailer. The design of the model heavily depends on the problem. Propensity to churn.

Retail 152

Retail C++ Analytics Metrics 152

ACM Sigarch

APRIL 8, 2019

big-data processing, machine learning, quantum computing, and so on). ML and deep learning innovations are constantly in the news. Her current work focuses on hardware/software co-design for extremely large-scale deep learning training. The Elephant in the Room (Machine Learning). uarch@gmail.com.

Architecture 74

Architecture Open Source Hardware Software Engineering 74

All Things Distributed

DECEMBER 20, 2017

The founders had noticed that in many companies, product designers worked in a very detached manner from the rest of production. In this way, designers are part of an ecosystem in which the functionalities of simulations, data and people come together, enabling them to develop better products faster. Value creation through data.

Artificial Intelligence 70

Artificial Intelligence Social Media Logistics AWS 70

ACM Sigarch

NOVEMBER 1, 2019

As is the case for many high-quality computer systems conferences, the papers presented here involve a significant amount of engineering and experimentation on real hardware to convincingly evaluate innovative concepts end-to-end in a realistic setting. ATC ’19 was refreshingly different.

Architecture 12

Architecture Hardware Cache Storage 12

All Things Distributed

DECEMBER 13, 2009

Spot Instances are an innovation that is made possible by the unparalleled economies of scale created by the tremendous growth of the AWS Infrastructure Services. Spot instances are a great innovation that, as far as I know, has no equivalent in the IT industry. Driving down the cost of Big-Data analytics.

Cloud 61

Cloud AWS Storage Innovation 61

O'Reilly

OCTOBER 21, 2019

He designed this new platform to be permission-less and free, an open space for creativity, innovation, and free expression that transcended geographic and cultural boundaries. As the space evolves, innovators are likely to eventually identify viable alternatives that embody this paradigm.

Blockchain 52

Blockchain Social Media Innovation Internet 52

SQL Server According to Bob

FEBRUARY 15, 2018

Best practices on Building a Big Data Analytics Solution – Michael Rys. If you want to learn about Azure Data Lake, there is no one better. Maximise compute performance with Azure SQL Data Warehouse – More JRJ on Azure DW. Azure Cosmos DB: design patterns and case studies – Andrew Liu.

Engineering 40

Engineering Azure Best Practices Servers 40

Rigor

SEPTEMBER 11, 2019

Vitaly specializes in front-end development, performance optimization, and responsive design, and he has made an epic contribution to the performance industry in addition to many other technology and design-related spaces. He was also the founder and president of Mobile Portland, where he started the first community device lab.

Performance 89

Performance Education Google Website 89

Testsigma

FEBRUARY 12, 2021

The implementation of emerging technologies has helped improve the process of software development, testing, design and deployment. From AI to ML, the shifting technology world is constantly innovating and making significant progress. Many changes are rendered through automated testing. from $12.6 bn in 2019 up to $28.8 bn in 2024.”

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

The Netflix TechBlog

OCTOBER 14, 2024

Overview At Netflix, the Analytics and Developer Experience organization, part of the Data Platform, offers a product called Workbench. Workbench is a remote development workspace based on Titus that allows data practitioners to work with big data and machine learning use cases at scale. Specifically, pystan uses asyncio.

Latency 214

Latency Virtualization Traffic Processing 214

Adrian Cockcroft

NOVEMBER 18, 2024

Paul Reed, Clean Energy & Sustainability, AWS Solutions, Amazon Web Services SUS101 | Advancing sustainable AWS infrastructure to power AI solutions In this session, learn how AWS is committed to innovating with data center efficiency and lowering its carbon footprint to build a more sustainable business. Discover how Scepter, Inc.

AWS 98

AWS Energy Lambda Government 98