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. Rule Execution Engine is responsible for matching the collected logs against a set of predefined rules.

Tuning 210

Tuning Efficiency Big Data Engineering 210

Uber Engineering

APRIL 5, 2018

Three years ago, Uber Engineering adopted Hadoop as the storage ( HDFS ) and compute ( YARN ) infrastructure for our organization’s big data analysis.

Systems 109

Systems Big Data Storage Infrastructure 109

Dynatrace

MARCH 24, 2023

Containers enable developers to package microservices or applications with the libraries, configuration files, and dependencies needed to run on any infrastructure, regardless of the target system environment. This means organizations are increasingly using Kubernetes not just for running applications, but also as an operating system.

Infrastructure 182

Infrastructure Open Source Operating System Cloud 182

Dynatrace

OCTOBER 4, 2022

Limited data availability constrains value creation. Modern IT environments — whether multicloud, on-premises, or hybrid-cloud architectures — generate exponentially increasing data volumes. Grail addresses today’s challenges of big data and cloud everywhere: Grail is highly scalable, cost-effective, and super-fast.

Analytics 231

Analytics Artificial Intelligence Storage Serverless 231

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. Big data automation tools. Monitoring automation is ongoing.

Artificial Intelligence 185

Artificial Intelligence Tuning Strategy Big Data 185

Dynatrace

JANUARY 16, 2023

As Kubernetes adoption increases and it continues to advance technologically, Kubernetes has emerged as the “operating system” of the cloud. Kubernetes is emerging as the “operating system” of the cloud. Kubernetes is emerging as the “operating system” of the cloud. Kubernetes moved to the cloud in 2022.

Open Source 340

Open Source Java Operating System Programming 340

Scalegrid

MARCH 28, 2024

Key Takeaways Redis offers complex data structures and additional features for versatile data handling, while Memcached excels in simplicity with a fast, multi-threaded architecture for basic caching needs. Memcached shines in scenarios where a simple, fast, and efficient caching solution is required without data persistence.

Cache 130

Cache Storage Scalability Architecture 130

Dynatrace

JUNE 29, 2022

To drive better outcomes using hybrid cloud architectures, it helps to understand their benefits—and how to orchestrate them seamlessly. What is hybrid cloud architecture? Hybrid cloud architecture is a computing environment that shares data and applications on a combination of public clouds and on-premises private clouds.

Infrastructure 179

Infrastructure Cloud Azure AWS 179

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 198

Artificial Intelligence DevOps Hardware Virtualization 198

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

ACM Sigarch

APRIL 8, 2019

Computer architecture is an important and exciting field of computer science, which enables many other fields (eg. big-data processing, machine learning, quantum computing, and so on). For those of us who pursued computer architecture as a career, this is well understood. Why is that? Should we be alarmed as a community?

Architecture 74

Architecture Open Source Hardware Software Engineering 74

The Netflix TechBlog

JUNE 7, 2021

Flow Exporter The Flow Exporter is a sidecar that uses eBPF tracepoints to capture TCP flows at near real time on instances that power the Netflix microservices architecture. After several iterations of the architecture and some tuning, the solution has proven to be able to scale. What is BPF?

Network 325

Network Transportation AWS Cloud 325

ScaleOut Software

JULY 19, 2021

How are we managing the torrent of telemetry that flows into analytics systems from these devices? Today’s streaming analytics architectures are not equipped to make sense of this rapidly changing information and react to it as it arrives. The list goes on. The Limitations of Today’s Streaming Analytics.

IoT 78

IoT Analytics Big Data Architecture 78

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. “An operating system, hypervisor, whatever. and only they have access.”

Analytics 196

Analytics Big Data Media Operating System 196

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 225

Healthcare Artificial Intelligence Innovation Strategy 225

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 208

Artificial Intelligence DevOps Innovation Metrics 208

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. This process continues until the system identifies a root cause. Achieving autonomous operations.

DevOps 192

DevOps Artificial Intelligence Healthcare Innovation 192

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). this is going to be a challenging journey for any backend engineer! this is going to be a challenging journey for any backend engineer!

Education 105

Education Software Engineering Scalability Engineering 105

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). this is going to be a challenging journey for any backend engineer! this is going to be a challenging journey for any backend engineer!

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). this is going to be a challenging journey for any backend engineer! this is going to be a challenging journey for any backend engineer!

Education 102

Education Software Engineering Scalability Engineering 102

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). this is going to be a challenging journey for any backend engineer! this is going to be a challenging journey for any backend engineer!

Education 100

Education AWS Software Engineering Scalability 100

ScaleOut Software

NOVEMBER 24, 2020

Real-Time Digital Twins Can Add Important New Capabilities to Telematics Systems and Eliminate Scalability Bottlenecks. However, telematics architectures face challenges in responding to telemetry in real time. Current Telematics Architecture. Challenges for Current Architectures.

Analytics 52

Analytics Architecture Scalability Software Architecture 52

All Things Distributed

JUNE 26, 2016

A region in India has been highly sought after by companies around the world who want to participate in one of the most significant economic opportunities in the world – India, a rising economy that holds tremendous promise for growth, a thriving technology hub with a rich eco-system of technology talent, and more.

AWS 90

AWS Cloud Healthcare Blockchain 90

ACM Sigarch

NOVEMBER 1, 2019

This blog post gives a glimpse of the computer systems research papers presented at the USENIX Annual Technical Conference (ATC) 2019, with an emphasis on systems that use new hardware architectures. USENIX ATC is a top-tier venue with a broad range of systems research papers from both industry and academia.

Architecture 12

Architecture Hardware Cache Storage 12

Brendan Gregg

APRIL 30, 2018

USENIX’s LISA conference is the premier event for topics in production system engineering. We both have had long careers supporting system administration, and LISA has always felt like a homecoming, reuniting with old friends while welcoming newcomers. Join us for 3 days in Nashville at LISA'18.

DevOps 43

DevOps Network Best Practices Programming 43

Brendan Gregg

APRIL 29, 2018

USENIX’s LISA conference is the premier event for topics in production system engineering. We both have had long careers supporting system administration, and LISA has always felt like a homecoming, reuniting with old friends while welcoming newcomers. Join us for 3 days in Nashville at LISA'18.

DevOps 40

DevOps Network Best Practices Programming 40

All Things Distributed

NOVEMBER 19, 2010

Werner Vogels weblog on building scalable and robust distributed systems. Big news this week was of course the launch of Cluster GPU instances for Amazon EC2. Science & Engineering. an engineering adventure to break the 1,000 mph barrier in a car. Driving down the cost of Big-Data analytics.

AWS 67

AWS Cloud Benchmarking Storage 67

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. Additionally, many high-end HPC applications take advantage of knowing their in-house hardware platforms to achieve major speedup by exploiting the specific processor architecture.

Cloud 118

Cloud AWS Automotive Latency 118

The Netflix TechBlog

MARCH 25, 2019

Now, imagine yourself in the role of a software engineer responsible for a micro-service which publishes data consumed by few critical customer facing services (e.g. You are about to make structural changes to the data and want to know who and what downstream to your service will be impacted.

Infrastructure 219

Infrastructure Big Data Transportation Architecture 219

All Things Distributed

SEPTEMBER 30, 2010

Werner Vogels weblog on building scalable and robust distributed systems. Visiting future customers is equally exiting as you get a change to understand their current architecture, if it is a migration, and how they plan to exploit cloud services in their new setup. Driving down the cost of Big-Data analytics.

AWS 75

AWS Storage Cloud Best Practices 75

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 202

Java Scalability Traffic Architecture 202

The Netflix TechBlog

OCTOBER 27, 2020

By Tianlong Chen and Ioannis Papapanagiotou Netflix has more than 195 million subscribers that generate petabytes of data everyday. 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.

Latency 243

Latency Storage Big Data Tuning 243

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. After several iterations of this architecture and some tuning, Sqooby has proven to be able to scale.

Network 150

Network Tuning AWS Big Data 150

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 goal is to suggest a personalized subset of incentives (e.g. Applications.

Retail 152

Retail C++ Analytics Metrics 152

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.

Storage 203

Storage Latency Efficiency Data Engineering 203

Abhishek Tiwari

DECEMBER 27, 2017

In 2018, we anticipate that ETL will either lose relevance or the ETL process will disintegrate and be consumed by new data architectures. Unified data management architecture. A unified data management (UDM) system combines the best of data warehouses, data lakes, and streaming without expensive and error-prone ETL.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49