The Netflix TechBlog

MARCH 7, 2024

Since its inception , Metaflow has been designed to provide a human-friendly API for building data and ML (and today AI) applications and deploying them in our production infrastructure frictionlessly. While human-friendly APIs are delightful, it is really the integrations to our production systems that give Metaflow its superpowers.

Systems 226

Systems Media Cache Open Source 226

Scalegrid

MARCH 28, 2024

In this comparison of Redis vs Memcached, we strip away the complexity, focusing on each in-memory data store’s performance, scalability, and unique features. can enhance Redis by handling management tasks, backups, and scalability, facilitating global reach and easy cloud integration for global businesses.

Cache 130

Cache Storage Scalability Architecture 130

Scalegrid

FEBRUARY 8, 2024

Key Takeaways Distributed storage systems benefit organizations by enhancing data availability, fault tolerance, and system scalability, leading to cost savings from reduced hardware needs, energy consumption, and personnel. This process effectively duplicates essential parts of information to safeguard against potential loss.

Storage 130

Storage Systems Big Data Azure 130

The Netflix TechBlog

MARCH 10, 2023

Hence we built the data pipeline that can be used to extract the existing assets metadata and process it specifically to each new use case. This feature support required a significant update in the data table design (which includes new tables and updating existing table columns). N, first N rows are fetched from the table.

Media 237

Media Traffic Processing Design 237

The Netflix TechBlog

FEBRUARY 9, 2021

In particular, it’s our job to design and build the systems and protocols that enable customers from all over the world to sign up for Netflix with the plan features and incentives that best suit their needs. Introduction and account creation Highlight our value propositions and begin the account creation process.

Engineering 142

Engineering Scalability Architecture Innovation 142

High Scalability

JULY 20, 2018

jaybo_nomad : The Allen Institute for Brain Science is in the process of imaging 1 cubic mm of mouse visual cortex using TEM at a resolution of 4nm per pixel. paulddraper : The biggest lesson HN teaches for designing large scale systems is "use a large scale system someone else has already designed". They are very expensive.

Internet 121

Internet Internet Scalability Automotive 121

The Netflix TechBlog

NOVEMBER 3, 2023

Democratizing Stream Processing @ Netflix By Guil Pires , Mark Cho , Mingliang Liu , Sujay Jain Data powers much of what we do at Netflix. On the Data Platform team, we build the infrastructure used across the company to process data at scale. In our last blog post, we introduced “Data Mesh” — A Data Movement and Processing Platform.

Processing 265

Processing Engineering Infrastructure Latency 265

The Netflix TechBlog

MARCH 1, 2021

It supports both high throughput services that consume hundreds of thousands of CPUs at a time, and latency-sensitive workloads where humans are waiting for the results of a computation. The third generation, called Reloaded , has been online for about seven years and has proven to be stable and massively scalable.

Serverless 228

Serverless Media Latency Social Media 228

The Netflix TechBlog

FEBRUARY 18, 2022

To this end, we developed a Rapid Event Notification System (RENO) to support use cases that require server initiated communication with devices in a scalable and extensible manner. We thus assigned a priority to each use case and sharded event traffic by routing to priority-specific queues and the corresponding event processing clusters.

Systems 334

Systems Traffic Architecture Mobile 334

Scalegrid

MARCH 14, 2024

This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. Defining Hybrid Cloud Strategy The decision-making process about where to situate data and applications is vital to any hybrid cloud solution. A hybrid cloud strategy could be your answer.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Scalegrid

MARCH 22, 2024

Crafting Your Multi-Cloud Blueprint Formulating a comprehensive multi-cloud framework is an intricate process that requires a business’s specific requirements, choosing suitable cloud services, and optimizing for performance and affordability. They can also bolster uptime and limit latency issues or potential downtimes.

Strategy 130

Strategy Cloud Government Innovation 130

Scalegrid

JANUARY 12, 2024

In the realm of cloud-based business operations, there is an increasing dependence on complex information processing patterns. High availability storage options within the context of cloud computing involve highly adaptable storage solutions specifically designed for storing vast amounts of data while providing easy access to it.

Cloud 130

Cloud Virtualization Storage Efficiency 130

The Netflix TechBlog

NOVEMBER 2, 2021

As VMAF evolves and is integrated with more encoding and streaming workflows within Netflix, we need scalable ways of fostering video quality innovations. For example, when we design a new version of VMAF, we need to effectively roll it out throughout the entire Netflix catalog of movies and TV shows. The workflow is initiated.

Media 171

Media Innovation Metrics Latency 171

The Netflix TechBlog

APRIL 26, 2022

We will share how its design has evolved over the years and the lessons learned while building it. To understand Axion’s design, we need to know the various components that interact with it. The motivation has not changed since then; the design has. Design evolution Axion fact store has four components?—?fact

Storage 187

Storage Design Scalability Latency 187

The Netflix TechBlog

AUGUST 30, 2021

The challenge, then, is to be able to ingest and process these events in a scalable manner, i.e., scaling with the number of devices, which will be the focus of this blog post. In-Order Processing The semantics of correct device information updates ingestion requires that messages be consumed in the order that they are produced.

Latency 213

Latency Traffic Transportation Hardware 213

Dynatrace

FEBRUARY 24, 2021

DevOps is focused on optimizing software development and delivery, and SRE is focused on operations processes. DevOps is not a specific process, but rather a general collection of flexible software creation and delivery practices that looks to close the gap between software development and IT operations. Reduced latency.

DevOps 191

DevOps Software Engineering Speed Google 191

The Netflix TechBlog

OCTOBER 19, 2020

Now let’s look at how we designed the tracing infrastructure that powers Edgar. Reconstructing a streaming session was a tedious and time consuming process that involved tracing all interactions (requests) between the Netflix app, our Content Delivery Network (CDN), and backend microservices.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Dynatrace

JULY 24, 2023

In the world of DevOps and SRE, DevOps automation answers the undeniable need for efficiency and scalability. We will also explore the evolution of DevOps automation and the significance of data-driven answers in unlocking streamlined, automated DevOps and SRE processes.

DevOps 225

DevOps Traffic Efficiency Servers 225

The Netflix TechBlog

DECEMBER 21, 2020

There are several benefits of such optimizations like saving on storage, faster query time, cheaper downstream processing, and an increase in developer productivity by removing additional ETLs written only for query performance improvement. Then deep dive into the merging use case of AutoOptimize and share some results and benefits.

Storage 203

Storage Latency Efficiency Data Engineering 203

Dynatrace

APRIL 5, 2021

AWS Lambda is a serverless compute service that can run code in response to predetermined events or conditions and automatically manage all the computing resources required for those processes. Real-time file processing, for quickly indexing files, processing logs, and validating content.

Lambda 184

Lambda AWS Serverless Hardware 184

The Netflix TechBlog

OCTOBER 27, 2020

Usually Data scientists and engineers write Extract-Transform-Load (ETL) jobs and pipelines using big data compute technologies, like Spark or Presto , to process this data and periodically compute key information for a member or a video. The processed data is typically stored as data warehouse tables in AWS S3.

Latency 243

Latency Storage Big Data Tuning 243

Dynatrace

JANUARY 18, 2023

However, getting reliable answers from observability data so teams can automate more processes to ensure speed, quality, and reliability can be challenging. Site reliability engineering (SRE) is a software operations methodology that enables organizations to create highly reliable and scalable applications.

DevOps 203

DevOps Best Practices Innovation Strategy 203

Highly Scalable

AUGUST 20, 2013

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. It became clear that real-time query processing and in-stream processing is the immediate need in many practical applications. Fault-tolerance.

Big Data 154

Big Data Processing Lambda Database 154

Dynatrace

JANUARY 13, 2022

Real user monitoring (RUM) is a performance monitoring process that collects detailed data about a user’s interaction with an application. However, only highly scalable real user monitoring solutions can collect data on all user actions, while less scalable tools have to sample user actions and make inferences from partial data.

Monitoring 184

Monitoring Latency Mobile Best Practices 184

Dynatrace

OCTOBER 1, 2021

As more organizations adopt cloud-native architectures, they are also looking for ways to implement AIOps, harnessing AI as a way to automate more processes throughout the DevSecOps life cycle. An advanced observability solution can also be used to automate more processes, increasing efficiency and innovation among Ops and Apps teams.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

VoltDB

JULY 10, 2018

In these use cases, data processing usually has less than a 5 milliseconds latency budget. VoltDB is a distributed in-memory database that is designed to power real-time intelligent decisions on fast moving streaming data. The post Scalable MicroService Architecture appeared first on VoltDB. Real-time order management.

Architecture 40

Architecture Scalability Ecommerce Latency 40

VoltDB

JULY 10, 2018

In these use cases, data processing usually has less than a 5 milliseconds latency budget. VoltDB is a distributed in-memory database that is designed to power real-time intelligent decisions on fast moving streaming data. The post Scalable MicroService Architecture appeared first on VoltDB. Real-time order management.

Architecture 40

Architecture Scalability Ecommerce Latency 40

Dynatrace

SEPTEMBER 30, 2021

Cloud migration is the process of transferring some or all your data, software, and operations to a cloud-based computing environment that offers unlimited scale and high availability. A key step in digital transformation is migrating from traditional on-prem IT processes to adopting cloud services. Increased scalability.

Cloud 169

Cloud Traffic Best Practices Strategy 169

High Scalability

FEBRUARY 19, 2021

In this article, we discuss the concepts of dependability and fault tolerance in detail and explain how the Ably platform is designed with fault tolerant approaches to uphold its dependability guarantees. Fault tolerant design approaches address these shortfalls to provide continuity both to business and to the user experience.

Engineering 215

Engineering Systems Scalability Availability 215

The Morning Paper

FEBRUARY 6, 2020

’ Stateless is fine until you need state, at which point the coarse-grained solutions offered by current platforms limit the kinds of application designs that work well. On the Cloudburst design teams’ wish list: A running function’s ‘hot’ data should be kept physically nearby for low-latency access.

Lambda 98

Lambda Serverless Cache Latency 98

cdemi

DECEMBER 4, 2016

The service retrieves the messages from the queue and processes them. Requests from a number of different tasks, which can be generated at a highly variable rate , can be passed to the service through the same message queue and will be processed at a constant rate that the service can work at.

Design 47

Design Azure Scalability Latency 47

ScaleOut Software

JULY 14, 2021

The Microsoft Azure IoT ecosystem offers a rich set of capabilities for processing IoT telemetry, from its arrival in the cloud through its storage in databases and data lakes. It provides support for a range of message protocols, buffering, and scalable message distribution to downstream services.

IoT 52

IoT Azure Analytics Serverless 52

The Morning Paper

NOVEMBER 15, 2020

Improving the efficiency with which we can coordinate work across a collection of units (see the Universal Scalability Law ). With more nodes and more coordination comes more complexity, both in design and operation. This makes the whole system latency sensitive. Increasing the amount of work we can do on a single unit.

Servers 128

Servers Hardware Latency Design 128

All Things Distributed

JUNE 21, 2018

As I have talked about before, one of the reasons why we built Amazon DynamoDB was that Amazon was pushing the limits of what was a leading commercial database at the time and we were unable to sustain the availability, scalability, and performance needs that our growing Amazon.com business demanded. Purpose-built databases.

Database 167

Database AWS Games Latency 167

Adrian Cockcroft

JANUARY 20, 2023

switches to connect processing nodes, pooled memory and I/O resources into very large coherent fabrics within a rack, and use Ethernet between racks. The emergence of chiplet technology also allows higher performance and integration without having to design every chip from scratch. Next generation architectures will use CXL3.0

Architecture 52

Architecture Latency Benchmarking AWS 52

ScaleOut Software

APRIL 6, 2021

Because it runs on a scalable, highly available in-memory computing platform, it can do all this simultaneously for hundreds of thousands or even millions of data sources. This simplifies the installation process and ensures portability across operating systems. Scaleout StreamServer® DT was created to meet this need.

IoT 52

IoT Azure Analytics Healthcare 52

The Netflix TechBlog

NOVEMBER 22, 2019

This entertaining romp through the tech stack serves as an introduction to how we think about and design systems, the Netflix approach to operational challenges, and how other organizations can apply our thought processes and technologies. We explore all the systems necessary to make and stream content from Netflix.

AWS 100

AWS Entertainment Open Source Benchmarking 100