The Netflix TechBlog

AUGUST 30, 2021

System Setup Architecture The following diagram summarizes the architecture description: Figure 1: Event-sourcing architecture of the Device Management Platform. By the following morning, alerts were received regarding high memory consumption and GC latencies, to the point where the service was unresponsive to HTTP requests.

Latency 213

Latency Traffic Transportation Cloud 213

Scalegrid

MARCH 22, 2024

They can also bolster uptime and limit latency issues or potential downtimes. Adopting Infrastructure as Code (IaaC) makes transitioning to a multi-cloud architecture more efficient, allowing streamlined setup processes. They simplify how you orchestrate everything across the diverse ecosystem of cloud services.

Strategy 130

Strategy Cloud Government Innovation 130

The Morning Paper

NOVEMBER 10, 2019

It’s been clear for a while that software designed explicitly for the data center environment will increasingly want/need to make different design trade-offs to e.g. general-purpose systems software that you might install on your own machines. The desire for CPU efficiency and lower latencies is easy to understand.

Network 92

Network Transportation Latency Entertainment 92

Dynatrace

DECEMBER 2, 2021

As organizations adopt microservices-based architecture , service-level objectives (SLOs) have become a vital way for teams to set specific, measurable targets that ensure users are receiving agreed-upon service levels. You can set SLOs based on individual indicators, such as batch throughput, request latency, and failures-per-second.

Metrics 180

Metrics Best Practices DevOps Infrastructure 180

InfoQ

JANUARY 26, 2024

The company evolved the guild component, which is responsible for fanning out billions of message notifications, in a series of performance and scalability improvements supported by system observability and performance tuning. By Rafal Gancarz

Servers 104

Servers Tuning Scalability Performance 104

John McCalpin

APRIL 25, 2023

To understand what is happening here, we need to understand the way memory bandwidth interacts with memory latency and the concurrency (parallelism) of memory accesses. Stay tuned! That is the topic of the next blog entry. (“Real Soon Now”) Can this problem be fixed? On a VE20B (8 cores, 1.6

Benchmarking 97

Benchmarking Cache Latency Tuning 97

IO River

NOVEMBER 15, 2023

For example, if a request activates a rule designed to block SQL injection attempts, the WAF might automatically block that request, preventing it from reaching your web application.‍Security Two of them are particularly gnarly: fine-tuning rules to perfection and managing a WAF over a multi-CDN architecture.

Traffic 52

Traffic Network Logistics Architecture 52

The Morning Paper

JUNE 13, 2019

Making queries to an inference engine has many of the same throughput, latency, and cost considerations as making queries to a datastore, and more and more applications are coming to depend on such queries. The following figure highlights how just one of these variables, batch size, impacts throughput and latency on ResNet50.

Hardware 58

Hardware Latency Serverless Energy 58

SQL Performance

APRIL 27, 2020

I highly recommend that you take a look at the diagram that breaks down the architecture and how it all works in this article. This way they can know that there is always a minimum compute level available, and they can always automatically scale to a designated compute level. Serverless Database.

Azure 55

Azure Database Serverless Hardware 55

IO River

NOVEMBER 2, 2023

For example, if a request activates a rule designed to block SQL injection attempts, the WAF might automatically block that request, preventing it from reaching your web application.‍Security Flywheel‍‍When it comes to fortifying web applications, think of security as a flywheel—an ever-revolving cycle that gains momentum with each turn.

Traffic 40

Traffic Network Logistics Architecture 40

Abhishek Tiwari

JULY 12, 2018

Here are 8 fallacies of data pipeline The pipeline is reliable Topology is stateless Pipeline is infinitely scalable Processing latency is minimum Everything is observable There is no domino effect Pipeline is cost­-effective Data is homogeneous The pipeline is reliable The inconvenient truth is that pipeline is not reliable.

Latency 63

Latency Analytics Scalability Engineering 63

John McCalpin

JANUARY 22, 2018

Each of the two vector units can issue one FMA instruction per cycle, assuming that there are enough independent accumulators to tolerate the 6-cycle dependent-operation latency. of the “adjusted peak performance”, there is no longer a significant upside to performance tuning. vfmadd213pd %zmm16, %zmm17, %zmm26.

Latency 40

Latency Hardware Code Testing 40

Brendan Gregg

MAY 16, 2017

You might imagine that at some point we had a major scaling crises, where it looked like we'd fail due to an architectural bottleneck, and engineers worked long nights and weekends to save Netflix from certain disaster. A latency outlier issue that happened every 15 minutes. That'd make a great story, but it didn't happen.

Java 75

Java Entertainment Engineering Scalability 75

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.

Processing 229

Processing Media Latency Innovation 229

InfoQ

DECEMBER 27, 2023

LinkedIn announced that it would be moving to gRPC with Protocol Buffers for the inter-service communication in its microservices platform, where previously an open-source Rest.li framework was used with JSON as a primary serialization format.

Open Source 142

Open Source Latency Tuning Scalability 142

InfoQ

APRIL 15, 2024

At the QCon London 2024 conference, Félix GV from LinkedIn discussed the AI/ML platform powering the company’s products. He specifically delved into Venice DB, the NoSQL data store used for feature persistence. The presenter shared the lessons learned from evolving and operating the platform, including cluster management and library versioning.

Artificial Intelligence 107

Artificial Intelligence Big Data Data Engineering Latency 107

The Netflix TechBlog

SEPTEMBER 24, 2021

Table 1: Movie and File Size Examples Initial Architecture A simplified view of our initial cloud video processing pipeline is illustrated in the following diagram. Figure 1: A Simplified Video Processing Pipeline With this architecture, chunk encoding is very efficient and processed in distributed cloud computing instances.

Cloud 237

Cloud Media Storage Cache 237

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. These principles reduce resource usage by being more efficient and effective while lowering the end-to-end latency in data processing. Transparency to end-users.

Storage 203

Storage Latency Efficiency Data Engineering 203

The Netflix TechBlog

JUNE 13, 2023

By collecting and analyzing key performance metrics of the service over time, we can assess the impact of the new changes and determine if they meet the availability, latency, and performance requirements. They enable us to further fine-tune and configure the system, ensuring the new changes are integrated smoothly and seamlessly.

Traffic 279

Traffic Metrics Systems Strategy 279

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 228

Serverless Media Latency Social Media 228

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. Let’s take a deeper look at the architecture, protocols, and systems involved.

Engineering 142

Engineering Scalability Architecture Innovation 142

The Netflix TechBlog

NOVEMBER 2, 2021

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. This article explains how we designed microservices and workflows on top of the Cosmos platform to bolster such video quality innovations. via bug fixes). We call this system Cosmos.

Media 171

Media Innovation Metrics Latency 171

The Netflix TechBlog

FEBRUARY 18, 2022

Motivation With the rapid growth in Netflix member base and the increasing complexity of our systems, our architecture has evolved into an asynchronous one that enables both online and offline computation. Architecture As shown in the diagram above, the RENO service can be broken down into the following components.

Systems 334

Systems Traffic Architecture Mobile 334

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. There is a downside to fetching this data on-demand: this adds latency to the first request to a cluster.

Traffic 220

Traffic Latency Cloud C++ 220

The Netflix TechBlog

OCTOBER 27, 2020

At Netflix, we also heavily embrace a microservice architecture that emphasizes separation of concerns. The data warehouse is not designed to serve point requests from microservices with low latency. Therefore, we must efficiently move data from the data warehouse to a global, low-latency and highly-reliable key-value store.

Latency 243

Latency Storage Big Data Tuning 243

The Netflix TechBlog

NOVEMBER 20, 2023

As our business scales globally, the demand for data is growing and the needs for scalable low latency incremental processing begin to emerge. The incremental processing solution (IPS) described here has been designed to address the above problems. There is no change to business transform logic and no re-design of ETL workflow.

Processing 210

Processing Big Data Efficiency Engineering 210

SQL Server According to Bob

JANUARY 11, 2020

Many high-end disk subsystems provide high-speed cache facilities to reduce the latency of read and write operations. For specific information on I/O tuning and balancing, you will find more details in the following document. The I/O and transactional design of SQL Server ensures that the ACID properties are fully maintained.

Servers 40

Servers Cache Media Hardware 40

The Netflix TechBlog

DECEMBER 17, 2019

Designed with High Availability in mind. We designed the framework to minimize database impact. DBLog High Level Architecture. High Availability DBLog uses active-passive architecture. No locks on tables are ever acquired, which prevent impacting write traffic on the source database. Figure 3?—?DBLog

Database 197

Database Traffic Transportation Open Source 197

The Netflix TechBlog

DECEMBER 17, 2019

Designed with High Availability in mind. We designed the framework to minimize database impact. DBLog High Level Architecture. High Availability DBLog uses an active-passive architecture. No locks on tables are ever acquired, which prevent impacting write traffic on the source database. Figure 3?—?DBLog

Database 212

Database Traffic Transportation Open Source 212

All Things Distributed

DECEMBER 12, 2013

Moreover, a GSI''s performance is designed to meet DynamoDB''s single digit millisecond latency - you can add items to a Users table for a gaming app with tens of millions of users with UserId as the primary key, but retrieve them based on their home city, with no reduction in query performance. Start with DynamoDB.

Games 130

Games Scalability Database Retail 130

The Netflix TechBlog

NOVEMBER 3, 2023

However, this design decision led to a different set of challenges. Additionally, instead of implementing business logic by composing multiple individual Processors together, users could express their logic in a single SQL query, avoiding the additional resource and latency overhead that came from multiple Flink jobs and Kafka topics.

Processing 265

Processing Engineering Infrastructure Latency 265