The Netflix TechBlog

OCTOBER 28, 2021

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. I developed many batch and real-time data pipelines using open source technologies for AOL Advertising and eBay.

Data Engineering 173

Data Engineering Engineering Big Data Software Engineering 173

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

All Things Distributed

AUGUST 18, 2011

Werner Vogels weblog on building scalable and robust distributed systems. Driving down the cost of Big-Data analytics. The Amazon Elastic MapReduce (EMR) team announced today the ability to seamlessly use Amazon EC2 Spot Instances with their service, significantly driving down the cost of data analytics in the cloud.

Big Data 111

Big Data Analytics AWS Cloud 111

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 154

Entertainment Analytics Healthcare Games 154

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

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 NoOps.

DevOps 210

DevOps Big Data Cloud Innovation 210

Dynatrace

APRIL 11, 2023

Log4Shell required many organizations to take devices and applications offline to prevent malicious attackers from gaining access to IT systems and sensitive data. As organizations develop new applications, vulnerabilities will continue to emerge. Taking place in San Francisco April 24-26, RSA’s theme is “Stronger together.”

Cloud 180

Cloud DevOps Open Source Retail 180

Dynatrace

DECEMBER 15, 2022

This transition to public, private, and hybrid cloud is driving organizations to automate and virtualize IT operations to lower costs and optimize cloud processes and systems. We’ll discuss how the responsibilities of ITOps teams changed with the rise of cloud technologies and agile development methodologies. So, what is ITOps?

Artificial Intelligence 195

Artificial Intelligence DevOps Hardware Virtualization 195

Dynatrace

JULY 6, 2022

Developing automation takes time. While automating IT practices can save administrators a lot of time, without AIOps, the system is only as intelligent as the humans who program it. This kind of automation can support key IT operations, such as infrastructure, digital processes, business processes, and big-data automation.

Artificial Intelligence 182

Artificial Intelligence Tuning Strategy Big Data 182

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 179

Infrastructure Open Source Operating System Cloud 179

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 278

Artificial Intelligence Cloud Innovation Strategy 278

Scalegrid

MARCH 14, 2024

Understanding Hybrid Cloud Strategy A hybrid cloud merges the capabilities of public and private clouds into a singular, coherent system. This combination allows for the fluid movement of data and applications across different environments, facilitating shared workloads seamlessly. The tool must be compatible with your current systems.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

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 189

DevOps Artificial Intelligence Healthcare Innovation 189

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

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

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

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

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.” This contrasts stochastic AIOps approaches that use probability models to infer the state of systems. What is AIOps?

Artificial Intelligence 205

Artificial Intelligence DevOps Innovation Metrics 205

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

Real-Time Digital Twins Can Add Important New Capabilities to Telematics Systems and Eliminate Scalability Bottlenecks. The volume of incoming telemetry challenges current telematics systems to keep up and quickly make sense of all the data. Current Telematics Architecture.

Analytics 52

Analytics Architecture Scalability Software Architecture 52

Testsigma

SEPTEMBER 8, 2021

In IT, however, the cloud means a lot more than just streaming media on the system. If I consider current times, it has become a core concept in development, management, analytics, and also – automation testing. Apart from cloud testing, you can also download various other testing modules on the system.

Cloud 76

Cloud Testing AWS Testing Tools 76

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. IoT Test Automation. Better and quicker services are urgently needed today.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

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

All Things Distributed

AUGUST 16, 2011

Werner Vogels weblog on building scalable and robust distributed systems. Government and Big Data. One particular early use case for AWS GovCloud (US) will be massive data processing and analytics. AWS GovCloud (US) will be used by several of these agencies to help them with their Bigger-than-Big-Data needs.

AWS 111

AWS Government Big Data Cloud 111

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. Do we want that?

Blockchain 46

Blockchain Hardware Google Analytics 46

All Things Distributed

JANUARY 19, 2011

Werner Vogels weblog on building scalable and robust distributed systems. Flexibility is one of the key principles of Amazon Web Services - developers can select any programming language and software package, any operating system, any middleware and any database to build systems and applications that meet their requirements.

AWS 115

AWS Cloud Java Scalability 115

All Things Distributed

AUGUST 22, 2011

Werner Vogels weblog on building scalable and robust distributed systems. Systems that make extensive use of caching almost all report a significant reduction in the cost of their database tier. For more hands-on information and to get started right away, see Jeff Barrs posting on the AWS Developer Blog. All Things Distributed.

Cloud 117

Cloud Cache AWS Storage 117

All Things Distributed

JULY 7, 2011

Werner Vogels weblog on building scalable and robust distributed systems. Amazon Import/Export is an important tool for customers to accelerate moving large amounts of data into the AWS storage systems. Driving down the cost of Big-Data analytics. All Things Distributed. Comments ().

AWS 96

AWS Cloud Storage Internet 96

All Things Distributed

DECEMBER 14, 2011

Werner Vogels weblog on building scalable and robust distributed systems. 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. Driving down the cost of Big-Data analytics.

AWS 114

AWS Latency Storage Big Data 114

Testsigma

MAY 7, 2020

IBM Big Data and Analytics Hub website cited a case study, where a US insurance company was estimating 15% of their testing efforts to be just test data collection for the backend system and the frontend system. The test data management for the company had become a big problem and had to be solved.

Testing 60

Testing Storage Database Processing 60

All Things Distributed

AUGUST 19, 2011

Werner Vogels weblog on building scalable and robust distributed systems. The ideal candidate will be someone who has built and ran large scale distributed systems and/or databases. For more information: Head of Software Development  . Driving down the cost of Big-Data analytics. All Things Distributed.

AWS 75

AWS Database Storage Scalability 75

Highly Scalable

MARCH 10, 2015

Although there are many books on data mining in general and its applications to marketing and customer relationship management in particular [BE11, AS14, PR13 etc.], The rest of the article is organized as follows: We first introduce a simple framework that ties together a retailer’s actions, profits and data. Applications.

Retail 152

Retail C++ Analytics Metrics 152

All Things Distributed

AUGUST 17, 2011

Werner Vogels weblog on building scalable and robust distributed systems. Amazon S3 is much more than just storage; the network and distributed systems infrastructure to ensure that content can be served fast and at high rates without customers impacting each other, is amazing. Driving down the cost of Big-Data analytics.

Servers 126

Servers Social Media AWS Website 126

All Things Distributed

JUNE 29, 2011

Werner Vogels weblog on building scalable and robust distributed systems. For more details see the announcement , the details pages of the services at [link] , and the posting on the AWS developer blog. Driving down the cost of Big-Data analytics. All Things Distributed. By Werner Vogels on 29 June 2011 09:55 AM.

AWS 104

AWS Retail Innovation Strategy 104

All Things Distributed

MARCH 24, 2011

Werner Vogels weblog on building scalable and robust distributed systems. Up to 200 developers and designers will get together to hack up interesting applications using the Internets APIs and SDKs. If you want to be that team of 5-7 developer/designers you can sign up using this form. Driving down the cost of Big-Data analytics.

AWS 93

AWS Internet Internet Storage 93

All Things Distributed

DECEMBER 5, 2010

Werner Vogels weblog on building scalable and robust distributed systems. I am very excited that today we have launched Amazon Route 53, a high-performance and highly-available Domain Name System (DNS) service. Naming is one of the fundamental concepts in Distributed Systems. By Werner Vogels on 05 December 2010 02:00 PM.

Cloud 117

Cloud Internet Internet AWS 117

All Things Distributed

JULY 13, 2010

Werner Vogels weblog on building scalable and robust distributed systems. Not just for HPC but for mission critical enterprise systems such as OLTP. Today, I am very proud to be a part of the Amazon Web Services team as we truly make HPC available as an on-demand commodity for every developer to use. All Things Distributed.

Cloud 118

Cloud AWS Automotive Latency 118