The Netflix TechBlog

APRIL 27, 2023

Engineers want their alerting system to be realtime, reliable, and actionable. A few years ago, we were paged by our SRE team due to our Metrics Alerting System falling behind — critical application health alerts reached engineers 45 minutes late! In other words, false positives are bad but false negatives are the absolute worst!

Storage 288

Storage Cache Metrics Database 288

Scalegrid

MARCH 14, 2024

This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. Understanding Hybrid Cloud Strategy A hybrid cloud merges the capabilities of public and private clouds into a singular, coherent system. A hybrid cloud strategy could be your answer.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

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

Scalegrid

DECEMBER 21, 2023

With its widespread use in modern application architectures, understanding the ins and outs of Redis® monitoring is essential for any tech professional. Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring. Redis®, a powerful in-memory data store, is no exception.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dotcom-Montior

NOVEMBER 24, 2021

Web developers or administrators did not have to worry or even consider the complexity of distributed systems of today. Great, your system was ready to be deployed. Once the system was deployed, to ensure everything was running smoothly, it only took a couple of simple checks to verify. What is a Distributed System?

Systems 74

Systems Monitoring Hardware Network 74

Scalegrid

JANUARY 8, 2024

This article delves into the specifics of how AI optimizes cloud efficiency, ensures scalability, and reinforces security, providing a glimpse at its transformative role without giving away extensive details. AI models integrated into cloud systems offer flexibility, enable agile methodologies, and ensure secure systems.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

High Scalability

FEBRUARY 19, 2021

This means a system that is not merely available but is also engineered with extensive redundant measures to continue to work as its users expect. Fault tolerance The ability of a system to continue to be dependable (both available and reliable) in the presence of certain component or subsystem failures.

Engineering 215

Engineering Systems Scalability Availability 215

VoltDB

JULY 10, 2018

As the complexity of applications and systems increases, the size of the teams that work on these also increase. In these scenarios, having the system as a monolithic one inhibits the development team from being able to move forward at speed. In these use cases, data processing usually has less than a 5 milliseconds latency budget.

Architecture 40

Architecture Scalability Ecommerce Latency 40

VoltDB

JULY 10, 2018

As the complexity of applications and systems increases, the size of the teams that work on these also increase. In these scenarios, having the system as a monolithic one inhibits the development team from being able to move forward at speed. In these use cases, data processing usually has less than a 5 milliseconds latency budget.

Architecture 40

Architecture Scalability Ecommerce Latency 40

Adrian Cockcroft

JANUARY 20, 2023

on Myths and Legends of High Performance Computing  — it’s a somewhat light-hearted look at some of the same issues by the leader of the team that built the Fugaku system I mention below. Next generation architectures will use CXL3.0 HPCG is led by Japan’s RIKEN Fugaku system at 16 petaflops, which is 3% of it’s peak capacity.

Architecture 52

Architecture Latency Benchmarking AWS 52

High Scalability

JULY 20, 2018

That’s mapping applications to the specific architectural choices. The third wing of the architecture piece is the “domain specific system-on-chip.” tef : You can use a message broker to glue systems together, but never use one to cut systems apart. There are a few more quotes.

Internet 121

Internet Internet Scalability Automotive 121

High Scalability

JANUARY 11, 2022

Architecture. The streaming data store makes the system extensible to support other use-cases (e.g. System Components. The system will comprise of several micro-services each performing a separate task. Sending and receiving messages from other users. High Level Design. Fetching User Feed. Streaming Data Model.

Design 334

Design Media Storage Logistics 334

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 first generation of this system went live with the streaming launch in 2007. Delivery?—?A

Serverless 228

Serverless Media Latency Social Media 228

Dynatrace

FEBRUARY 4, 2021

Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. SRE applies DevOps principles to developing systems and software that help increase site reliability and performance.

Engineering 259

Engineering DevOps Government Latency 259

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. Dynatrace news. But what is observability? Why is it important, and what can it actually help organizations achieve? What is observability?

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

NOVEMBER 3, 2021

Organizations are depending more and more on distributed architectures to provide application services. Logging provides additional data but is typically viewed in isolation of a broader system context. Monitoring is capturing and displaying data, whereas observability can discern system health by analyzing its inputs and outputs.

Monitoring 229

Monitoring Metrics DevOps Scalability 229

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. The coupling problem Until recently, video quality measurements were generated as part of our Reloaded production system. We call this system Cosmos.

Media 171

Media Innovation Metrics Latency 171

Scalegrid

MARCH 22, 2024

They can also bolster uptime and limit latency issues or potential downtimes. This process thoroughly assesses factors like cost-effectiveness, security measures, control levels, scalability options, customization possibilities, performance standards, and availability expectations. Elevate your cloud strategy today with ScaleGrid!

Strategy 130

Strategy Cloud Government Innovation 130

Dynatrace

FEBRUARY 4, 2021

Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. SRE applies DevOps principles to developing systems and software that help increase site reliability and performance.

Engineering 184

Engineering DevOps Government Latency 184

Dynatrace

DECEMBER 22, 2021

Complex information systems fail in unexpected ways. Observability gives developers and system operators real-time awareness of a highly distributed system’s current state based on the data it generates. With observability, teams can understand what part of a system is performing poorly and how to correct the problem.

Artificial Intelligence 186

Artificial Intelligence Metrics Architecture DevOps 186

The Netflix TechBlog

MAY 14, 2021

Managing and operating asynchronous workflows can be difficult without the proper tools and architecture that puts observability, debugging, and tracing at the forefront. However, they are scattered across multiple systems, and there isn’t an easy way to tie related messages together. Imagine getting paged outside normal work hours?—?users

Traffic 160

Traffic Latency Java Google 160

All Things Distributed

JANUARY 18, 2012

Werner Vogels weblog on building scalable and robust distributed systems. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. The original Dynamo design was based on a core set of strong distributed systems principles resulting in an ultra-scalable and highly reliable database system.

Scalability 167

Scalability Database Ecommerce Latency 167

The Morning Paper

AUGUST 29, 2019

Choosing a cloud DBMS: architectures and tradeoffs Tan et al., We focused on OLAP-oriented parallel data warehouse products available for AWS and restricted our attention to commercially available systems. Each systems begins from a cold start unless explicitly stated otherwise in the results. VLDB’19. Key findings.

Architecture 76

Architecture Cloud Storage Serverless 76

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. System Setup Architecture The following diagram summarizes the architecture description: Figure 1: Event-sourcing architecture of the Device Management Platform.

Latency 213

Latency Traffic Transportation Hardware 213

ACM Sigarch

MAY 31, 2023

Introduction Memory systems are evolving into heterogeneous and composable architectures. Heterogeneous and Composable Memory (HCM) offers a feasible solution for terabyte- or petabyte-scale systems, addressing the performance and efficiency demands of emerging big-data applications. The recently announced CXL3.0

Latency 52

Latency Hardware Cache Architecture 52

Dynatrace

APRIL 5, 2021

AWS Lambda enables organizations to access many types of functions from AWS’ cloud-based services, such as: Data processing, to execute code based on triggers, system states, or user actions. You will likely need to write code to integrate systems and handle complex tasks or incoming network requests.

Lambda 186

Lambda AWS Serverless Hardware 186

The Netflix TechBlog

MAY 5, 2021

In the future posts, we will do an architectural deep dive into the several components of Netflix Drive. Netflix Drive aims to solve this problem of exposing different namespaces and attaching appropriate access control to help build a scalable, performant, globally distributed platform for storing and retrieving pertinent assets.

Media 174

Media Storage Architecture Cloud 174

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

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 103

Servers Tuning Scalability Performance 103

The Morning Paper

FEBRUARY 6, 2020

The key ingredients of Cloudburst are a highly-scalable key-value store for persistent state ( Anna ), local caches co-located with function execution environments, and cache-consistency protocols to preserve developer sanity while data is moved in and out of those caches. High level architecture. Consistency.

Lambda 98

Lambda Serverless Cache Latency 98

The Netflix TechBlog

APRIL 26, 2022

Figure 1: Netflix ML Architecture Fact: A fact is data about our members or videos. We use Keystone as it is easy to use, reliable, scalable, and provides aggregation of facts from different cloud regions into a single AWS region. We plan to split these Keystone streams into multiple streams for horizontal scalability.

Storage 187

Storage Design Scalability Latency 187

Dynatrace

SEPTEMBER 30, 2021

The breadth of fully-featured services, the pay-as-you-go scalability, and the agility of cloud platforms enable organizations to expand their modern approaches to building and managing digital services in a way they can’t with on-premises apps and infrastructure. Increased scalability. Reduced cost. Inconsistent performance.

Cloud 172

Cloud Traffic Best Practices Strategy 172

Percona

JULY 17, 2023

5 among all database management systems and No. 1 among non-relational/document-based systems ( DB-Engines, July 2023 ). DBAs and developers appreciate its combination of flexibility, scalability, and performance. MongoDB is preferable for working with content management systems and mobile apps. It ranks No.

Open Source 76

Open Source Database Scalability Software 76

All Things Distributed

JULY 20, 2015

Today, I want to explore the Amazon ECS architecture and what this architecture enables. To be robust and scalable, this key/value store needs to be distributed for durability and availability, to protect against network partitions or hardware failures. Let’s talk about what Amazon ECS is actually doing.

Latency 166

Latency Architecture AWS Open Source 166

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. Both automatic (event-driven) as well as manual (ad-hoc) optimization.

Storage 203

Storage Latency Efficiency Data Engineering 203

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

All Things Distributed

JULY 14, 2015

In this blog post, I will explain how these three new capabilities empower you to build applications with distributed systems architecture and create responsive, reliable, and high-performance applications using DynamoDB that work at any scale. Amazon Redshift) and Elasticsearch machines. Amazon Redshift) and Elasticsearch machines.

Database 167

Database Lambda AWS IoT 167