The Netflix TechBlog

FEBRUARY 9, 2021

Growth Engineering at Netflix?—?Automated In the Growth Engineering team, we refer to this as the top of the signup funnel. For more background on the signup funnel and Growth Engineering’s role in the signup funnel, please read our initial post on the topic: Growth Engineering at Netflix? Accelerating Innovation.

Engineering 172

Engineering Storage Latency Entertainment 172

The Netflix TechBlog

DECEMBER 17, 2024

The Challenge of Title Launch Observability As engineers, were wired to track system metrics like error rates, latencies, and CPU utilizationbut what about metrics that matter to a titlessuccess? How can we design systems that recognize these nuances and empower every title to shine and bring joy to ourmembers?

Traffic 172

Traffic Scalability Strategy Monitoring 172

Scalegrid

FEBRUARY 24, 2025

The architecture of RabbitMQ is meticulously designed for complex message routing, enabling dynamic and flexible interactions between producers and consumers. While clustering across wide-area networks (WANs) is discouraged due to latency issues, leased links can mitigate some connectivity challenges.

Best Practices 147

Best Practices Traffic Strategy Efficiency 147

The Netflix TechBlog

JANUARY 25, 2023

The service should be able to serve real-time, aka UI, applications so CRUD and search operations should be achieved with low latency. Our service will be used by a lot of internal UI applications hence the latency for CRUD and search operations must be low. Search latency for the generic text queries are in milliseconds.

Scalability 291

Scalability Latency Media Architecture 291

Dynatrace

FEBRUARY 24, 2021

SRE is the transformation of traditional operations practices by using software engineering and DevOps principles to improve the availability, performance, and scalability of releases by building resiliency into apps and infrastructure. Designating and managing Service Level Objectives (SLOs) as availability targets for a service.

DevOps 268

DevOps Software Engineering Speed Google 268

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 165

Engineering Systems Availability Scalability 165

The Netflix TechBlog

FEBRUARY 9, 2021

The Growth Engineering team is responsible for executing growth initiatives that help us anticipate and adapt to this change. 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.

Engineering 145

Engineering Scalability Architecture Innovation 145

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 subsystems all communicate with each other asynchronously via Timestone, a high-scale, low-latency priority queuing system.

Serverless 235

Serverless Media Latency Social Media 235

The Netflix TechBlog

NOVEMBER 17, 2022

Our approach to NN-based video downscaling The deep downscaler is a neural network architecture designed to improve the end-to-end video quality by learning a higher-quality video downscaler. We employed an adaptive network design that is applicable to the wide variety of resolutions we use for encoding.

Network 300

Network Media Innovation Efficiency 300

The Netflix TechBlog

JUNE 4, 2019

Because microprocessors are so fast, computer architecture design has evolved towards adding various levels of caching between compute units and the main memory, in order to hide the latency of bringing the bits to the brains. This avoids thrashing caches too much for B and evens out the pressure on the L3 caches of the machine.

Cache 258

Cache Latency Airlines Logistics 258

The Netflix TechBlog

FEBRUARY 18, 2022

Personalized Experience Refresh Netflix Recommendation engine continuously refreshes recommendations for every member. Scaling Policies To address the thundering herd problem and to keep latencies under acceptable thresholds, the cluster scale-up policies are configured to be more aggressive than the scale-down policies.

Systems 334

Systems Traffic Architecture Mobile 334

Dynatrace

MARCH 16, 2023

So how do development and operations (DevOps) teams and site reliability engineers (SREs) distinguish among good, great, and suboptimal SLOs? Monitors signals The first attribute of a good SLO is the ability to monitor the four “golden signals”: latency, traffic, error rates, and resource saturation.

DevOps 264

DevOps Latency Metrics Traffic 264

Dynatrace

JUNE 25, 2020

The network latency between cluster nodes should be around 10 ms or less. – A Dynatrace customer, Head of Performance Engineering. For Premium HA, this has been extended from 10 ms latency (in the same network region) to around 100 ms network latency due to asynchronous data replication between regions.

Availability 264

Availability Hardware Latency Traffic 264

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 data warehouse is not designed to serve point requests from microservices with low latency.

Latency 252

Latency Storage Big Data Tuning 252

The Netflix TechBlog

OCTOBER 8, 2024

Rajiv Shringi Vinay Chella Kaidan Fullerton Oleksii Tkachuk Joey Lynch Introduction As Netflix continues to expand and diversify into various sectors like Video on Demand and Gaming , the ability to ingest and store vast amounts of temporal data — often reaching petabytes — with millisecond access latency has become increasingly vital.

Latency 239

Latency Storage Traffic Tuning 239

The Netflix TechBlog

SEPTEMBER 24, 2021

Uploading and downloading data always come with a penalty, namely latency. Figure 2: Cloud Resource and Job Sizes This initial architecture was designed at a time when packaging from a list of chunks was not possible and terabyte-sized files were not considered. thus making this design viable. at most few parts at a time?—?thus

Cloud 242

Cloud Media Storage Cache 242

The Netflix TechBlog

SEPTEMBER 10, 2024

To support this growth, we’ve revisited Pushy’s past assumptions and design decisions with an eye towards both Pushy’s future role and future stability. KeyValue is an abstraction over the storage engine itself, which allows us to choose the best storage engine that meets our SLO needs.

Latency 234

Latency Cache Tuning Efficiency 234

Dynatrace

JANUARY 31, 2024

For production models, this provides observability of service-level agreement (SLA) performance metrics, such as token consumption, latency, availability, response time, and error count. Beyond SLAs, the emergence of machine learning technical debt poses an additional challenge for model observability.

Cache 276

Cache Azure Infrastructure Monitoring 276

Dynatrace

AUGUST 27, 2019

Welcome back to the blog series in which we share how you can easily solve three common problem scenarios by using Dynatrace and xMatters Flow Designer. This is where xMatters Flow Designer comes into play, by automating remediation steps at the touch of a button. Step 5 – xMatters triggers a runbook in Ansible to fix the disk latency.

Systems 208

Systems DevOps Latency Azure 208

The Netflix TechBlog

SEPTEMBER 8, 2020

This allowed Android engineers to have much more control and observability over how we get our data. For each route we migrated, we wanted to make sure we were not introducing any regressions: either in the form of missing (or worse, wrong) data, or by increasing the latency of each endpoint. This meant that data that was static (e.g.

Latency 241

Latency Cache Java Traffic 241

The Netflix TechBlog

NOVEMBER 22, 2019

by Shefali Vyas Dalal AWS re:Invent is a couple weeks away and our engineers & leaders are thrilled to be in attendance yet again this year! In this talk, we share how Netflix deploys systems to meet its demands, Ceph’s design for high availability, and results from our benchmarking. We look forward to seeing you there!

AWS 38

AWS Entertainment Open Source Benchmarking 38

All Things Distributed

JANUARY 18, 2012

a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Today is a very exciting day as we release Amazon DynamoDB , a fast, highly reliable and cost-effective NoSQL database service designed for internet scale applications. Amazon DynamoDB offers low, predictable latencies at any scale. Comments ().

Scalability 162

Scalability Database Ecommerce Latency 162

The Netflix TechBlog

JANUARY 10, 2024

This architecture shift greatly reduced the processing latency and increased system resiliency. We expanded pipeline support to serve our studio/content-development use cases, which had different latency and resiliency requirements as compared to the traditional streaming use case. divide the input video into small chunks 2.

Processing 238

Processing Media Latency Innovation 238

Dynatrace

APRIL 5, 2021

You can eliminate the latency issues caused by cold starts — an increase in normal response time when a new instance receives its first request — by using edge-optimized functions that run code closer to users and other projects. AWS continues to improve how it handles latency issues. It helps SRE teams automate responses.

Lambda 258

Lambda AWS Serverless Hardware 258

The Netflix TechBlog

OCTOBER 19, 2020

a Netflix member via Twitter This is an example of a question our on-call engineers need to answer to help resolve a member issue?—?which Now let’s look at how we designed the tracing infrastructure that powers Edgar. Now let’s look at how we designed the tracing infrastructure that powers Edgar.

Infrastructure 238

Infrastructure Transportation Storage Open Source 238

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. Sometimes Data Engineers write downstream ETLs on ingested data to optimize the data/metadata layouts to make other ETL processes cheaper and faster.

Storage 212

Storage Latency Efficiency Data Engineering 212

The Netflix TechBlog

NOVEMBER 3, 2022

In that scenario, the system would need to deal with the data propagation latency directly, for example, by use of timeouts or client-originated update tracking mechanisms. We started seeing increased response latencies and leader servers running at dangerously high utilization. The query rate in this test is set to 1K requests/second.

Cache 233

Cache Latency Traffic Systems 233

High Scalability

SEPTEMBER 8, 2018

They've posted about Anna's new superpowers in Going Fast and Cheap: How We Made Anna Autoscale : Using Anna v0 as an in-memory storage engine, we set out to address the cloud storage problems described above. Our monitoring engine automatically moves data between tiers based on access patterns.

Storage 199

Storage Performance AWS Cloud 199

Dynatrace

SEPTEMBER 13, 2023

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. These workflows also utilize Davis® , the Dynatrace causal AI engine, and all your observability and security data across all platforms, in context, at scale, and in real-time.

AWS 305

AWS Efficiency Azure Cloud 305

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. Importantly, all the use cases were engineered by practitioners themselves.

Systems 235

Systems Media Cache Open Source 235

The Netflix TechBlog

NOVEMBER 20, 2023

It also improves the engineering productivity by simplifying the existing pipelines and unlocking the new patterns. As our business scales globally, the demand for data is growing and the needs for scalable low latency incremental processing begin to emerge. There are three common issues that the dataset owners usually face.

Processing 219

Processing Big Data Efficiency Engineering 219

Dynatrace

JULY 24, 2023

Imagine having an AI engine that comprehends the complete context of the transaction and intelligently determines whether to send a discount code—and which one to send. Full contextual awareness helps the AI engine make informed decisions. Consider an event-driven automation system designed for incident management.

DevOps 246

DevOps Traffic Efficiency Servers 246

The Netflix TechBlog

AUGUST 29, 2023

Today we have a wealth of tools, both OSS and commercial, all designed for cloud-native environments. To improve availability, we designed systems where components could fail separately and avoid single points of failure. At the time, the service mesh effort was still being bootstrapped, with only a few engineers working on it.

Traffic 229

Traffic Latency Cloud C++ 229

Dynatrace

JANUARY 18, 2023

From site reliability engineering to service-level objectives and DevSecOps, these resources focus on how organizations are using these best practices to innovate at speed without sacrificing quality, reliability, or security. SRE applies software engineering principles to operations and infrastructure processes. – blog.

DevOps 246

DevOps Best Practices Innovation Strategy 246

VoltDB

DECEMBER 11, 2024

By bringing computation closer to the data source, edge-based deployments reduce latency, enhance real-time capabilities, and optimize network bandwidth. Increased latency during peak loads. Key issues include: A shortage of edge-native data engineers and architects. High costs of training and retaining talent.

IoT 52

IoT Energy Logistics Latency 52

The Morning Paper

JULY 7, 2019

Software engineering for machine learning: a case study Amershi et al., More specifically, we’ll be looking at the results of an internal study with over 500 participants designed to figure out how product development and software engineering is changing at Microsoft with the rise of AI and ML. ICSE’19. A general process.

Software Engineering 92

Software Engineering Engineering Software Software 92

Dynatrace

DECEMBER 15, 2022

ITOps refers to the process of acquiring, designing, deploying, configuring, and maintaining equipment and services that support an organization’s desired business outcomes. This includes response time, accuracy, speed, throughput, uptime, CPU utilization, and latency. Performance. What does IT operations do?

Artificial Intelligence 246

Artificial Intelligence DevOps Hardware Virtualization 246