The Netflix TechBlog

SEPTEMBER 18, 2020

—?and what the role entails by Julie Beckley & Chris Pham This Q&A provides insights into the diverse set of skills, projects, and culture within Data Science and Engineering (DSE) at Netflix through the eyes of two team members: Chris Pham and Julie Beckley. Photo from a team curling offsite?—?There’s There’s us to the right!

Analytics 231

Analytics Education Innovation Engineering 231

Dynatrace

MARCH 14, 2022

Every day, healthcare organizations across the globe have embraced innovative technology to streamline the delivery of patient care. As patient care continues to evolve, IT teams have accelerated this shift from legacy, on-premises systems to cloud technology to more build, test, and deploy software, and fuel healthcare innovation.

Healthcare 237

Healthcare Artificial Intelligence Innovation Strategy 237

The Netflix TechBlog

FEBRUARY 16, 2021

Membership Engineering at Netflix is responsible for the plan and pricing configurations for every market worldwide. 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?

Mobile 219

Mobile Engineering Infrastructure Scalability 219

Dynatrace

MARCH 24, 2023

Within every industry, organizations are accelerating efforts to modernize IT capabilities that increase agility, reduce complexity, and foster innovation. Docker Swarm First introduced in 2014 by Docker, Docker Swarm is an orchestration engine that popularized the use of containers with developers.

Infrastructure 198

Infrastructure Open Source Operating System Cloud 198

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 217

Analytics C++ Innovation Engineering 217

Dynatrace

JULY 6, 2022

As organizations continue to adopt multicloud strategies, the complexity of these environments grows, increasing the need to automate cloud engineering operations to ensure organizations can enforce their policies and architecture principles. This requires significant data engineering efforts, as well as work to build machine-learning models.

Artificial Intelligence 202

Artificial Intelligence Tuning Strategy Big Data 202

Dynatrace

OCTOBER 4, 2022

Log management and analytics is an essential part of any organization’s infrastructure, and it’s no secret the industry has suffered from a shortage of innovation for several years. Several pain points have made it difficult for organizations to manage their data efficiently and create actual value.

Analytics 246

Analytics Artificial Intelligence Storage Serverless 246

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 224

Artificial Intelligence DevOps Innovation Metrics 224

Dynatrace

OCTOBER 17, 2022

Artificial intelligence for IT operations, or AIOps, combines big data and machine learning to provide actionable insight for IT teams to shape and automate their operational strategy. The four stages of data processing. SecOps: Applying AIOps to secure applications in real time.

DevOps 209

DevOps Artificial Intelligence Healthcare Innovation 209

All Things Distributed

OCTOBER 7, 2015

However, the data infrastructure to collect, store and process data is geared toward developers (e.g., In AWS’ quest to enable the best data storage options for engineers, we have built several innovative database solutions like Amazon RDS, Amazon RDS for Aurora, Amazon DynamoDB, and Amazon Redshift.

Cloud 116

Cloud Big Data AWS Analytics 116

Dynatrace

JUNE 29, 2022

More than 90% of enterprises now rely on a hybrid cloud infrastructure to deliver innovative digital services and capture new markets. A hybrid cloud, however, combines public infrastructure and services with on-premises resources or a private data center to create a flexible, interconnected IT environment. Dynatrace news.

Infrastructure 194

Infrastructure Cloud Azure AWS 194

All Things Distributed

DECEMBER 8, 2016

Canada has set forth a bold innovation agenda grounded in entrepreneurship, scientific research, growing small and medium-sized businesses with a focus on environmentally friendly technologies, and the transition to a digital economy. in the coming year. The Canadian opportunity. Rapid time to market. AWS as your strategic cloud provider.

AWS 134

AWS Cloud Lambda Innovation 134

Scalegrid

MARCH 14, 2024

This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. Enterprise cloud architects and engineers require significant knowledge to ensure that private and public clouds work together compatibly. A hybrid cloud strategy could be your answer.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

All Things Distributed

JUNE 26, 2016

Market innovators and change agents need a comprehensive infrastructure platform that can reliably scale on-demand. AdiMap uses Amazon Kinesis to process real-time streaming online ad data and job feeds, and processes them for storage in petabyte-scale Amazon Redshift. A workflow engine to drive business decisions.

AWS 80

AWS Cloud Healthcare Blockchain 80

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 127

AWS Programming Latency Architecture 127

All Things Distributed

DECEMBER 12, 2018

We are also enabling some of the Nordics' most successful startups and gaming companies, such as: Bambora, Evolution Gaming, Hemnet, iZettle, KRY, LEO Innovation Lab, Lingit, Lunar Way, Mapillary, Mathem, Mojang, Paradox Interactive, Quinyx, Rovio, Supercell, Tidal, Trustpilot, Tink, and Vivino. Public sector. They support more than 3.3

AWS 120

AWS Cloud Games Serverless 120

All Things Distributed

APRIL 27, 2011

We use high-performance transactions systems, complex rendering and object caching, workflow and queuing systems, business intelligence and data analytics, machine learning and pattern recognition, neural networks and probabilistic decision making, and a wide variety of other techniques. Driving down the cost of Big-Data analytics.

Technology 132

Technology Technology AWS Storage 132

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. I am excited about this because it is already making my digital music experience simpler and I am looking forward to the innovation that these services will drive on behalf of our customers.

AWS 125

AWS Cloud Storage Internet 125

All Things Distributed

SEPTEMBER 6, 2013

Shell leverages AWS for big data analytics to help achieve these goals. Shell''s scientists, especially the geophysicists and drilling engineers, frequently use cloud computing to run models.

Cloud 104

Cloud Energy AWS Media 104

All Things Distributed

SEPTEMBER 5, 2013

Over the past few years, two important trends that have been disrupting the database industry are mobile applications and big data. The explosive growth in mobile devices and mobile apps is generating a huge amount of data, which has fueled the demand for big data services and for high scale databases.

Big Data 78

Big Data Mobile Latency Database 78

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.

Latency 215

Latency Virtualization Traffic Processing 215

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

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. and Engine Yard , Springsource users have CloudFoundry. Driving down the cost of Big-Data analytics.

AWS 99

AWS Cloud Java Operating System 99

Rigor

JANUARY 13, 2020

When it comes to web content, you can easily find what you need through many different paths, from search engines and social media to playlists and blogs, jumping from one source to another with just a tap of a finger. This book shares guidelines and innovative techniques that will help you plan and execute a comprehensive SEO strategy.

Performance 75

Performance Social Media Website Website Performance 75

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

ScaleOut Software

NOVEMBER 24, 2020

Competitive pressures should spark innovation in this area, and real-time digital twins can help. The volume of incoming telemetry challenges current telematics systems to keep up and quickly make sense of all the data. Message-processing code can incorporate a rules engine or machine learning to amplify their capabilities.

Analytics 52

Analytics Architecture Scalability Software Architecture 52

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. PY99] Data Preparation for Data Mining, D. The models (2.1) Pyle, 1999.

Retail 152

Retail C++ Analytics Metrics 152

All Things Distributed

JUNE 20, 2017

9GAG has a small team of nine people, including three engineers to support the business, and uses AWS to service their global visitors. These companies include Cathay Pacific, CLSA, HSBC, Gibson Innovations, Kerry Logistics, Ocean Park, Next Digital, and TownGas.

AWS 127

AWS Logistics Cloud Social Media 127

All Things Distributed

APRIL 4, 2017

Scania, a world leading manufacturer of commercial vehicles, is using AWS to bring advanced technologies to their trucks, buses, coaches, and diesel engines. Icelandic low-cost airline carrier WOW air is using AWS for its Internet-facing IT infrastructure, including its booking engine, development platforms, and web servers.

AWS 110

AWS Airlines Latency Games 110

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

All Things Distributed

NOVEMBER 15, 2016

They require teams of data engineers to spend months building complex data models and synthesizing the data before they can generate their first report. The cost and complexity to implement, scale, and use BI makes it difficult for most companies to make data analysis ubiquitous across their organizations.

Analytics 129

Analytics Availability Media Social Media 129

All Things Distributed

NOVEMBER 30, 2016

Around 20 years ago, we used machine learning in our recommendation engine to generate personalized recommendations for our customers. The same conversational engine that powers Alexa is now available to any developer, making it easy to bring sophisticated, natural language 'chatbots' to new and existing applications.

AWS 156

AWS Lambda Artificial Intelligence Mobile 156

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. Rick Byers. Sergey Chernyshev.

Performance 89

Performance Education Google Website 89

Testsigma

FEBRUARY 12, 2021

From AI to ML, the shifting technology world is constantly innovating and making significant progress. According to Gartner, the greatest technological developments in 2021 will influence the future from technology affecting how people operate, to AI engineering and hyperautomation. Many changes are rendered through automated testing.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

Dynatrace

APRIL 25, 2023

Having access to large data sets can be helpful, but only if organizations are able to leverage insights from the information. These analytics can help teams understand the stories hidden within the data and share valuable insights. and only they have access.”

Analytics 213

Analytics Big Data Media Operating System 213

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. Lena Olson is a Software Engineer at Google. . Disclaimer: Newsha is a Research Scientist at Baidu and Lena is a Software Engineer at Google.

Architecture 74

Architecture Open Source Hardware Software Engineering 74

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