The Netflix TechBlog

JULY 15, 2021

Interview with Kevin Wylie This post is part of our “Data Engineers of Netflix” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Kevin Wylie is a Data Engineer on the Content Data Science and Engineering team. What drew you to Netflix?

Data Engineering 189

Data Engineering Engineering Entertainment Big Data 189

The Morning Paper

DECEMBER 13, 2020

An overview of end-to-end entity resolution for big data , Christophides et al., It’s an important part of many modern data workflows, and an area I’ve been wrestling with in one of my own projects. A variety of supervised, semi-supervised, and unsupervised matching techniques have also been developed. 2020, Article No.

Big Data 83

Big Data Open Source Processing Analytics 83

The Netflix TechBlog

OCTOBER 28, 2021

Netflix’s unique work culture and petabyte-scale data problems are what drew me to Netflix. During earlier years of my career, I primarily worked as a backend software engineer, designing and building the backend systems that enable big data analytics.

Data Engineering 173

Data Engineering Engineering Big Data Software Engineering 173

The Morning Paper

SEPTEMBER 8, 2019

Experiences with approximating queries in Microsoft’s production big-data clusters Kandula et al., I’ve been excited about the potential for approximate query processing in analytic clusters for some time, and this paper describes its use at scale in production. The accuracy was considered adequate by the developer.

Big Data 57

Big Data Analytics Latency Azure 57

Scalegrid

FEBRUARY 8, 2024

Within Amazon S3’s offerings are features like metadata tagging, different classes of data movement and storage options, configuring control over access permissions, and ensuring safety against disasters through data replication mechanisms. These systems excel in managing vast quantities of data while maintaining redundancy.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

APRIL 19, 2023

Business Insights is a managed offering built on top of Dynatrace’s digital experience and business analytics tools. The Business Insights team helps customers manage or configure their digital experience environment, extend the Dynatrace platform through data analytics, and bring human expertise into optimization.

Entertainment 155

Entertainment Analytics Healthcare Games 155

Dynatrace

OCTOBER 25, 2022

The need for developers and innovation is now even greater. NoOps is a concept in software development that seeks to automate processes and eliminate the need for an extensive IT operations team. But it might also result in the entire software development process falling apart. Evolution of modern AIOps.

DevOps 213

DevOps Big Data Cloud Innovation 213

DZone

DECEMBER 28, 2020

The introduction of innovative technologies has brought the newest updates in software testing, development, design, and delivery. Digital transformation is yet another significant focus point for the sectors and the enterprises that are ranking top on cloud and business analytics. Besides, AI and ML seem to reach a new level.

Software 186

Software Software Testing Big Data 186

Dynatrace

APRIL 21, 2021

On the Dynatrace Business Insights team, we have developed analytical views and an approach to help you get started. To do this effectively, you need a big data processing approach. Not all pages are equally important, and development resources are top priority. How Dynatrace Business Insights can help.

Traffic 262

Traffic Metrics Mobile Analytics 262

Dynatrace

APRIL 11, 2023

The focus on bringing various organizational teams together—such as development, business, and security teams — makes sense as observability data, security data, and business event data coalesce in these cloud-native environments. As organizations develop new applications, vulnerabilities will continue to emerge.

Cloud 183

Cloud DevOps Open Source Retail 183

The Netflix TechBlog

SEPTEMBER 18, 2020

Part of our series on who works in Analytics at Netflix?—?and 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.

Analytics 223

Analytics Education Innovation Engineering 223

Dynatrace

JULY 6, 2022

Developing automation takes time. This kind of automation can support key IT operations, such as infrastructure, digital processes, business processes, and big-data automation. Big data automation tools. Automating routine IT tasks eliminates the human element—and the potential mistakes that come with it.

Artificial Intelligence 185

Artificial Intelligence Tuning Strategy Big Data 185

Dynatrace

JULY 5, 2022

AIOps combines big data and machine learning to automate key IT operations processes, including anomaly detection and identification, event correlation, and root-cause analysis. A truly modern AIOps solution also serves the entire software development lifecycle to address the volume, velocity, and complexity of multicloud environments.

Artificial Intelligence 282

Artificial Intelligence Cloud Innovation Strategy 282

Dynatrace

DECEMBER 15, 2022

We’ll discuss how the responsibilities of ITOps teams changed with the rise of cloud technologies and agile development methodologies. Adding application security to development and operations workflows increases efficiency. So, what is ITOps? What is ITOps? CloudOps teams are one step further in the digital supply chain.

Artificial Intelligence 198

Artificial Intelligence DevOps Hardware Virtualization 198

Dynatrace

MARCH 24, 2023

By embracing public cloud and hybrid cloud computing environments, IT teams can further accelerate development and automate software deployment and management. Container technology enables organizations to efficiently develop cloud-native applications or to modernize legacy applications to take advantage of cloud services.

Infrastructure 182

Infrastructure Open Source Operating System Cloud 182

Scalegrid

MARCH 14, 2024

Developing Your Hybrid Cloud Strategy When devising a strategy for a hybrid cloud, numerous critical elements must be considered. Tools for optimizing cloud costs offer comprehensive analytics and metrics, plus automation capabilities that assist enterprises in tracking, evaluating, and refining their spending on their hybrid cloud setup.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

AUGUST 10, 2021

I had the privilege of setting everyone up for the day alongside my co-host Carrie Mott , Head of Marketing and Business Development for APAC. BPAY is in the midst of its digital transformation journey in which it is discovering the critical importance of developing “contemporary ways of designing, operating, and using” its software.

DevOps 246

DevOps Innovation Big Data Cloud 246

Highly Scalable

MAY 1, 2012

Statistical analysis and mining of huge multi-terabyte data sets is a common task nowadays, especially in the areas like web analytics and Internet advertising. Analysis of such large data sets often requires powerful distributed data stores like Hadoop and heavy data processing with techniques like MapReduce.

Analytics 191

Analytics Traffic Big Data Efficiency 191

The Netflix TechBlog

JUNE 7, 2021

By Alok Tiagi , Hariharan Ananthakrishnan , Ivan Porto Carrero and Keerti Lakshminarayan Netflix has developed a network observability sidecar called Flow Exporter that uses eBPF tracepoints to capture TCP flows at near real time.

Network 325

Network Transportation AWS Cloud 325

Dynatrace

JULY 6, 2020

As adoption rates for Microsoft Azure continue to skyrocket, Dynatrace is developing a deeper integration with the platform to provide even more value to organizations that run their businesses on Azure or use it as a part of their multi-cloud strategy. See the health of your big data resources at a glance. Azure Front Door.

Azure 146

Azure Cloud Big Data Virtualization 146

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. & Wenjing Z.]

Analytics 207

Analytics C++ Innovation Engineering 207

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. This makes developing, operating, and securing modern applications and the environments they run on practically impossible without AI.

DevOps 192

DevOps Artificial Intelligence Healthcare Innovation 192

Scalegrid

MARCH 28, 2024

However, its limited feature set compared to Redis might be a disadvantage for applications that require more advanced data structures and persistence. Introduction Caching serves a dual purpose in web development – speeding up client requests and reducing server load. Data transfer technology.

Cache 130

Cache Storage Scalability Architecture 130

KeyCDN

OCTOBER 2, 2018

In the world of web development, those who become experts usually do so by learning from their predecessors. Reading and following the right web development blogs makes it much easier to get a solid education. That’s why we’ve compiled an exhaustive list of web development blogs and newsletters to make this process easier.

Development 75

Development Website Design Code 75

ScaleOut Software

NOVEMBER 24, 2020

At the same time, telemetry snapshots are stored in a data lake, such as HDFS , for offline batch analysis and visualization using big data tools like Spark. This new, object-oriented software technique provides a memory-based orchestration framework for tracking and analyzing telemetry from each data source.

Analytics 52

Analytics Architecture Scalability Software Architecture 52

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.” Only deterministic AIOps technology enables fully automated cloud operations across the entire enterprise development lifecycle.

Artificial Intelligence 208

Artificial Intelligence DevOps Innovation Metrics 208

Testsigma

SEPTEMBER 8, 2021

If I consider current times, it has become a core concept in development, management, analytics, and also – automation testing. In-depth reporting : Testsigma’s reports are of extremely high quality and have been appreciated for the analytical information displayed in them. Signup now. AppPerfect. AWS Device Farm.

Cloud 76

Cloud Testing AWS Testing Tools 76

All Things Distributed

SEPTEMBER 6, 2013

Shell leverages AWS for big data analytics to help achieve these goals. In 2012 Tom Tom launched a new Location Based Services (LBS) platform to give app developers easy access to its mapping content to be able to incorporate rich location based data into their applications.

Cloud 129

Cloud Energy AWS Healthcare 129

All Things Distributed

AUGUST 16, 2011

Government and Big Data. One particular early use case for AWS GovCloud (US) will be massive data processing and analytics. The scalability, flexibility and the elasticity of AWS makes it an ideal environment for the agencies to run their analytics. Driving down the cost of Big-Data analytics.

AWS 111

AWS Government Big Data Cloud 111

All Things Distributed

DECEMBER 20, 2017

Developments like cloud computing, the internet of things, artificial intelligence, and machine learning are proving that IT has (again) become a strategic business driver. Kärcher benefits as well: By developing this service, the company gets exact insight into how the machines are actually used by its customers.

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79

Testsigma

FEBRUARY 12, 2021

With the latest developments in IT sector services, the sector of QA testing has seen significant improvement and growth. The implementation of emerging technologies has helped improve the process of software development, testing, design and deployment. Multi-experience has been one of the top developments trends in technology in 2020.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

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. How to use and combine these popular tools to set up a customized development workflow from start to finish. Still good.

Performance 75

Performance Social Media Website Website Performance 75

The Morning Paper

SEPTEMBER 19, 2019

AliGraph covers Alibaba’s distributed graph engine supporting the development of new GNN applications. Their dataset has about 7B edges… Meanwhile, AnalyticDB is Alibaba’s real-time OLAP RDBMS handling 10PB of data (in excess of 100 trillion rows!). So it’s great to see some papers from Alibaba and Tencent here.

Blockchain 46

Blockchain Hardware Google Analytics 46

All Things Distributed

DECEMBER 14, 2011

These companies can now benefit from the fact that the new Sao Paulo Region is similar to all other AWS Regions, which enables software developed for other Regions to be quickly deployed in South America as well. Please also visit the AWS developer blog for more great stories from our South American customers.

AWS 114

AWS Latency Storage Big Data 114

All Things Distributed

AUGUST 22, 2011

Amazon ElastiCache is compliant with Memcached , which makes it easy for developers who are already familiar with that system to start using the service immediately. For more hands-on information and to get started right away, see Jeff Barrs posting on the AWS Developer Blog. Driving down the cost of Big-Data analytics.

Cloud 117

Cloud Cache AWS Storage 117

All Things Distributed

JULY 7, 2011

With Import into EBS customers can now develop arbitrary complex layouts as the import service is doing a full binary copy of the disk into Amazon EBS and is not interpreting file system layouts, etc. Driving down the cost of Big-Data analytics. More information on AWS Import/Export can be found at their detail page.

AWS 96

AWS Cloud Storage Internet 96

All Things Distributed

AUGUST 19, 2011

For more information: Head of Software Development  . Driving down the cost of Big-Data analytics. This team is constantly rethinking the assumptions behind how traditional databases were built and constantly working on building the right database architectures suited for the Cloud environment. Contact Info.

AWS 75

AWS Database Storage Scalability 75