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. The configuration of these devices is controlled by several other systems including source of truth, application of configurations to devices, and back up.

Open Source 280

Open Source Network Infrastructure Big Data 280

Rigor

MAY 22, 2019

Big data is like the pollution of the information age. The Big Data Struggle and Performance Reporting. Alternatively, a number of organizations have created their own internal home-grown systems for managing and distilling web performance and monitoring data. Conclusion.

Big Data 76

Big Data Monitoring Performance Metrics 76

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. Like the development and design phases, these applications generate massive data volumes that offer relevant and actionable insights.

Artificial Intelligence 292

Artificial Intelligence Cloud Innovation Strategy 292

Dynatrace

OCTOBER 25, 2022

NoOps is an advanced transformation of DevOps where many of the functions needed to manage, optimize and secure IT services and applications are automated within the design. Early implementations of NoOps were just ‘lift and shift’ efforts that replicated existing systems to the cloud. Evolution of NoOps.

DevOps 224

DevOps Big Data Cloud Innovation 224

The Netflix TechBlog

OCTOBER 27, 2020

Data scientists and engineers collect this data from our subscribers and videos, and implement data analytics models to discover customer behaviour with the goal of maximizing user joy. The processed data is typically stored as data warehouse tables in AWS S3.

Latency 252

Latency Storage Big Data Tuning 252

Dynatrace

AUGUST 10, 2021

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. She dispelled the myth that more big data equals better decisions, higher profits, or more customers. No matter how much you collect.

DevOps 246

DevOps Big Data Innovation Cloud 246

The Netflix TechBlog

JUNE 20, 2024

However, as the system has increased in scale and complexity, Pensive has been facing challenges due to its limited support for operational automation, especially for handling memory configuration errors and unclassified errors. To handle errors efficiently, Netflix developed a rule-based classifier for error classification called “Pensive.”

Data Engineering 207

Data Engineering Engineering Entertainment Software Engineering 207

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 212

Java Scalability Traffic Architecture 212

Dynatrace

DECEMBER 15, 2022

In fact, Gartner estimates that 80% of enterprises will shut down their on-premises data centers by 2025. 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. So, what is ITOps? Why is IT operations important?

Artificial Intelligence 209

Artificial Intelligence DevOps Hardware Virtualization 209

Highly Scalable

MARCH 1, 2012

This aspect of NoSQL is well-studied both in practice and theory because specific non-functional properties are often the main justification for NoSQL usage and fundamental results on distributed systems like the CAP theorem apply well to NoSQL systems. The main design theme is “ What answers do I have?”

Database 279

Database Ecommerce Efficiency Engineering 279

Dynatrace

MARCH 14, 2022

Over the past decade, the industry moved from paper-based to electronic health records (EHRs)—digitizing the backbone of patient data. 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 233

Healthcare Artificial Intelligence Innovation Strategy 233

Highly Scalable

MAY 1, 2012

Let us start with a simple example that illustrates capabilities of probabilistic data structures: Let us have a data set that is simply a heap of ten million random integer values and we know that it contains not more than one million distinct values (there are many duplicates). what is the cardinality of the data set)?

Analytics 191

Analytics Traffic Big Data Efficiency 191

The Netflix TechBlog

DECEMBER 21, 2020

This article will list some of the use cases of AutoOptimize, discuss the design principles that help enhance efficiency, and present the high-level architecture. Use cases We found several use cases where a system like AutoOptimize can bring tons of value. We can also reorganize the metadata to make file scanning much faster.

Storage 213

Storage Latency Efficiency Data Engineering 213

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. After a fixed number of iterations is exhausted, the optimizer returns the “best” configuration solution (i.e.,

Tuning 217

Tuning Efficiency Big Data Engineering 217

All Things Distributed

DECEMBER 13, 2016

With the launch of the AWS Europe (London) Region, AWS can enable many more UK enterprise, public sector and startup customers to reduce IT costs, address data locality needs, and embark on rapid transformations in critical new areas, such as big data analysis and Internet of Things. Fraud.net is a good example of this.

AWS 157

AWS Cloud Artificial Intelligence IoT 157

The Morning Paper

OCTOBER 26, 2020

As a production system within Microsoft capturing around a quadrillion events and indexing 16 trillion search keys per day it would be interesting in its own right, but there’s a lot more to it than that. These two narratives of reference architecture and ingestion/indexing system are interwoven throughout the paper.

Cloud 104

Cloud Big Data Latency Architecture 104

Scalegrid

JUNE 28, 2024

It is widely utilized across various industries, such as finance, telecommunications, and e-commerce, for managing activities, including transaction processing, data streaming, and instantaneous messaging. Key Takeaways RabbitMQ is an open-source message broker facilitating seamless data exchange across diverse systems.

IoT 130

IoT Healthcare Programming Open Source 130

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 219

Artificial Intelligence DevOps Innovation Metrics 219

The Netflix TechBlog

MAY 26, 2020

As with any sustainable engineering design, focusing on simplicity is very important. These characteristics allow for an on-call response time that is relaxed and more in line with traditional big data analytical pipelines. Requirements There are multiple ways you can solve this problem and many technologies to choose from.

Network 154

Network Tuning AWS Traffic 154

Dynatrace

JUNE 1, 2020

The variables that can impact the performance of an application vary; from coding errors or ‘bugs’ in the software, database slowdowns, hosting and network performance, to operating system and device type support.

Artificial Intelligence 184

Artificial Intelligence Social Media Monitoring IoT 184

The Morning Paper

MAY 14, 2019

Seer: leveraging big data to navigate the complexity of performance debugging in cloud microservices Gan et al., Seer is an online system that observes the behaviour of cloud applications (using the DeathStarBench microservices for the evaluation) and predicts when QoS violations may be about to occur. ASPLOS’19.

Big Data 45

Big Data Cloud Performance Hardware 45

High Scalability

APRIL 14, 2020

has hours of system design content. They also do live system design discussions every week. Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). Learn to balance architecture trade-offs and design scalable enterprise-level software. Who's Hiring? InterviewCamp.io Try out their platform.

Education 105

Education Software Engineering Scalability Engineering 105

All Things Distributed

APRIL 27, 2011

Werner Vogels weblog on building scalable and robust distributed systems. And while many of our systems are based on the latest in computer science research, this often hasnt been sufficient: our architects and engineers have had to advance research in directions that no academic had yet taken. All Things Distributed. Comments ().

Technology 132

Technology Technology AWS Storage 132

High Scalability

MAY 12, 2020

has hours of system design content. They also do live system design discussions every week. Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). Learn to balance architecture trade-offs and design scalable enterprise-level software. Who's Hiring? InterviewCamp.io Try out their platform.

Education 102

Education Software Engineering Scalability Engineering 102

High Scalability

APRIL 28, 2020

has hours of system design content. They also do live system design discussions every week. Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). Learn to balance architecture trade-offs and design scalable enterprise-level software. Who's Hiring? InterviewCamp.io Try out their platform.

Education 102

Education Software Engineering Scalability Engineering 102

All Things Distributed

MARCH 28, 2011

Werner Vogels weblog on building scalable and robust distributed systems. Our smart phones and tablets are obvious examples, but many other devices are quickly gaining these capabilities; TV Sets and Hifi systems are internet enabled, and soon our treadmills and automobiles will be equally plugged into the digital world. Comments ().

AWS 125

AWS Cloud Storage Internet 125

High Scalability

MARCH 30, 2020

has hours of system design content. They also do live system design discussions every week. Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). Take Triplebyte's multiple-choice quiz (system design and coding questions) to see if they can help you scale your career faster.

Education 105

Education Software Engineering Engineering Big Data 105

All Things Distributed

AUGUST 20, 2012

Werner Vogels weblog on building scalable and robust distributed systems. It requires substantial upfront capital investments in cold data storage systems such as tape robots and tape libraries, then thereâ??s With Amazon Glacier any organization now has access to the same data archiving capabilities as the worldâ??s

Storage 115

Storage Cloud AWS Media 115

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 113

Cloud Internet Internet AWS 113

High Scalability

MAY 26, 2020

has hours of system design content. They also do live system design discussions every week. Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). Learn to balance architecture trade-offs and design scalable enterprise-level software. Who's Hiring? InterviewCamp.io Try out their platform.

Education 100

Education AWS Software Engineering Scalability 100

High Scalability

MARCH 24, 2020

Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). You will be designing and implementing distributed systems : large-scale web crawling platform, integrating Deep Learning based web data extraction components, working on queue algorithms, large datasets, creating a development platform for other company departments, etc.

Education 105

Education Software Engineering Engineering Big Data 105

All Things Distributed

FEBRUARY 17, 2011

Werner Vogels weblog on building scalable and robust distributed systems. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Driving down the cost of Big-Data analytics. All Things Distributed. New AWS feature: Run your website from Amazon S3. Comments (). Expanding the Cloud â??

AWS 123

AWS Website Storage Servers 123

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 112

Servers Social Media AWS Website 112

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. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Driving down the cost of Big-Data analytics.

Cloud 106

Cloud Cache AWS Storage 106

Scalegrid

MARCH 28, 2024

Redis Data Types and Structures The design of Redis’s data structures emphasizes versatility. It is designed to cache plain text values, offering fast read and write access to frequently accessed data. Advanced Redis Features Showdown Big data center concept, cloud database, server power station of the future.

Cache 130

Cache Storage Architecture Scalability 130

All Things Distributed

NOVEMBER 15, 2010

Werner Vogels weblog on building scalable and robust distributed systems. These trade-offs have even impacted the way the lowest level building blocks in our computer architectures have been designed. Because of its focus on latency, the generic CPU yielded rather inefficient system for graphics processing. Comments ().

AWS 127

AWS Programming Latency Architecture 127

Highly Scalable

MARCH 10, 2015

Most of this article represents an overview of the results published by retailers and researchers who built practical decision making and optimization systems combining abstract economic models with data mining methods. The design of the model heavily depends on the problem. Propensity to category expansion. Propensity to churn.

Retail 152

Retail C++ Analytics Metrics 152