The Netflix TechBlog

FEBRUARY 9, 2021

How We Got Here Netflix started as a website that allowed members to manage their DVD queue. As we migrated to EdgePaaS, front-end services were moved from the Java-based API to a BFF (backend for frontend), aka NodeQuark, as shown: This model enables front-end engineers to own and operate their services outside of the core API framework.

Architecture 221

Architecture Latency Servers Website 221

The Netflix TechBlog

NOVEMBER 3, 2022

As the number of Titus users increased over the years, the load and pressure on the system increased substantially. Overview The figure below depicts a simplified high-level architecture of a single Titus cluster (a.k.a When a new leader is elected it loads all data from external storage.

Cache 224

Cache Latency Traffic Systems 224

The Netflix TechBlog

MARCH 1, 2021

When Reloaded was designed, we were a small team of developers operating a constrained compute cluster, and focused on one use case: the video/audio processing pipeline. A typical microservice is an API with stateless business logic which is autoscaled based on request load. debian packages).

Serverless 228

Serverless Media Latency Social Media 228

IO River

NOVEMBER 15, 2023

WAF operates at the application level of this model. This means it specifically looks at the content of the data (like the writing inside our letters from the analogy) rather than just the envelope.So, what is the difference between a Firewall at the application level and network level?Network-level

Traffic 52

Traffic Network Logistics Architecture 52

The Netflix TechBlog

FEBRUARY 9, 2021

In this post, we’ll take a deep dive into the journey of content-based imagery on the Netflix homepage. The Solution The main mechanism for highlighting our content in the signup flow is through content-based imagery. The homepage needs to load in a reasonable amount of time, even in poor network conditions. entertainment?—?and

Engineering 165

Engineering Storage Latency Entertainment 165

IO River

NOVEMBER 2, 2023

WAF operates at the application level of this model. This means it specifically looks at the content of the data (like the writing inside our letters from the analogy) rather than just the envelope.So, what is the difference between a Firewall at the application level and network level?Network-level

Traffic 40

Traffic Network Logistics Architecture 40

Highly Scalable

APRIL 2, 2012

Some time ago I participated in design of a backend for one large online retailer company. In particular, we built this system on top of Oracle Coherence and designed our own data structures and indexes. In particular, we built this system on top of Oracle Coherence and designed our own data structures and indexes.

Ecommerce 100

Ecommerce Cache Storage Architecture 100

The Morning Paper

MARCH 17, 2020

Based on these findings, the authors present four guidelines to get the best performance out of this memory today. The widely expressed expectation was that NVDIMMs would have behavior that was broadly similiar to DRAM-based DIMMs but with lower performance (i.e., The iMC maintains separate read and write pending queues for each DIMM.

Scalability 59

Scalability Latency Cache Media 59

cdemi

DECEMBER 7, 2016

Building on the Queue-Based Load Leveling Pattern , the Competing Consumer Pattern enables a system to process multiple messages concurrently to optimize throughput, to improve scalability and availability, and to balance the workload. Considerations.

Design 40

Design Scalability Systems Processing 40

Smashing Magazine

OCTOBER 19, 2021

Jeff’s book Operations Anti-Patterns, DevOps Solutions. Bridging The Gap Between Designers And Developers written by Matthew Talebi. Tips And Tricks For Evaluating UX/UI Designers written by Nataliya Sambir. So they know when to engage ops early, because that’s a common pattern that we see is development makes a choice.

DevOps 83

DevOps Metrics Systems Design 83

The Morning Paper

MAY 12, 2019

That’s where ‘DeathStarBench’ comes in: a suite of five different microservices-based applications (one of which, a drone coordination platform called Swarm has two variations – one doing most compute in the cloud, and one offloading as much as possible to the edge). This occurs both with HTTP and RPC-based services.

Open Source 61

Open Source Hardware Benchmarking Systems 61

Smashing Magazine

AUGUST 9, 2019

So now we’re using CSS classes cherry-picked from a framework of patterns, UI components and utility classes. In this article, we’ll start by exploring the impact unused CSS can have on page load speeds. Based on the page’s HTML elements, any unused CSS is identified. Filtering At The Partials Level. This is a problem.

Performance 94

Performance C++ Media Website 94

Alex Russell

OCTOBER 22, 2017

We set a budget in time of <= 5 seconds first-load Time-to-Interactive and <= 2s for subsequent loads. We get a strong sense for how bad site performance is going to be based on the percentage of engineering leads, PMs, and decision makers carrying high-end phones which they primarily use in urban areas.

Performance 68

Performance Benchmarking Network Mobile 68

SQL Server According to Bob

JANUARY 11, 2020

Both Microsoft Knowledge Base and Microsoft SQL Server Books Online (BOL) contain many details related to SQL Server I/O operations. Multichannel and Load-Balancing Systems Many high-end media environments implement load-balanced systems that can have multiple channels to support I/O requests.

Servers 40

Servers Cache Media Hardware 40

SQL Server According to Bob

DECEMBER 31, 2018

Several years ago, I created a XEProfiler based loosely on the SSMS implementation, built as a 64-bit application to avoid the 32-bit memory limitations and using parallel activities to speed up the processing. Large traces can encounter the 32-bit SSMS memory limitations. The XEProfiler Sample. Creates an empty DataGrid control.

Efficiency 40

Efficiency Code Servers Cache 40

High Scalability

NOVEMBER 25, 2019

To help our customers manage ongoing data explosion, we have designed many of the core components over the last few years. In general, Egnyte connect architecture shards and caches data at different levels based on: Amount of data. Level of concurrent reads. Level of concurrent writes. Nginx for disk based caching.

Architecture 52

Architecture Cache Azure Storage 52