The Netflix TechBlog

NOVEMBER 17, 2022

For example, we invest in next-generation, royalty-free codecs and sophisticated video encoding optimizations. Video downscaling is the most pertinent example herein, which tailors our encoding to screen resolutions of different devices and optimizes picture quality under varying network conditions. We have also measured a ~4.4%

Network 292

Network Media Innovation Efficiency 292

High Scalability

JANUARY 11, 2022

Architecture. There are two major processes which gets executed when a user posts a photo on Instagram. The second process occurs asynchronously by persisting user activity in a columnar data-storage(Cassandra) and triggering the process to pre-compute the feed of followers of non-celebrity users (having few thousand followers).

Design 334

Design Media Storage Logistics 334

Dynatrace

MAY 31, 2023

Microservices-based architectures and software containers enable organizations to deploy and modify applications with unprecedented speed. The growing amount of data processed at the network edge, where failures are more difficult to prevent, magnifies complexity. However, cloud complexity has made software delivery challenging.

Best Practices 223

Best Practices DevOps Latency Metrics 223

Dynatrace

JULY 18, 2023

As software development grows more complex, managing components using an automated onboarding process becomes increasingly important. This is especially crucial in microservice architectures, where the number of components can be overwhelming. This can all be done safely and consistently in a repeatable manner.

Best Practices 190

Best Practices Code Infrastructure Latency 190

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

The Netflix TechBlog

SEPTEMBER 8, 2020

As an example, to render the screen shown here, the app sends a query that looks like this: paths: ["videos", 80154610, "detail"] A path starts from a root object , and is followed by a sequence of keys that we want to retrieve the data for. It was a Node.js The context around why the Node.js

Latency 233

Latency Cache Java Traffic 233

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. How does AWS Lambda work?

Lambda 180

Lambda AWS Serverless Hardware 180

Dynatrace

SEPTEMBER 18, 2020

Cloud-based application architectures commonly leverage microservices. High latency or lack of responses. You receive an alert message from Dynatrace (your infrastructure observability hub) letting you know that the average response latency of all deployed APIs has tripled. Soaring number of active connections.

Infrastructure 191

Infrastructure Latency Metrics Analytics 191

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. Its goal is to assign running processes to time slices of the CPU in a “fair” way. So why mess with it?

Cache 251

Cache Latency Airlines Logistics 251

The Netflix TechBlog

AUGUST 30, 2021

For example, when running tests, the state of the device will change from “available for testing” to “in test.” 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.

Latency 213

Latency Traffic Transportation Hardware 213

The Morning Paper

OCTOBER 4, 2020

We are standing on the eve of the 5G era… 5G, as a monumental shift in cellular communication technology, holds tremendous potential for spurring innovations across many vertical industries, with its promised multi-Gbps speed, sub-10 ms low latency, and massive connectivity. Throughput and latency. energy consumption).

Energy 130

Energy Latency Performance Network 130

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. And why have SLOs and SLIs become so important as teams automate processes to consistently meet SLAs and error budgets?

Metrics 191

Metrics Best Practices DevOps Infrastructure 191

VoltDB

JULY 10, 2018

This goal has been attempted to be addressed from the beginning of time: think of Object Oriented Programming, Service Oriented Architecture, Enterprise Service Bus and now Microservices. Real-World Example Problem. 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

This goal has been attempted to be addressed from the beginning of time: think of Object Oriented Programming, Service Oriented Architecture, Enterprise Service Bus and now Microservices. Real-World Example Problem. In these use cases, data processing usually has less than a 5 milliseconds latency budget.

Architecture 40

Architecture Scalability Ecommerce Latency 40

The Morning Paper

OCTOBER 11, 2020

Only space system architects don’t call it request-response, they call it a ‘ bent-pipe architecture.’. In the bent pipe architecture a satellite gathers and stores data until it is near a ground station, and then transmits whatever it has. Satellites are changing! This is called the Ground Track Frame Rate (GTFR).

Systems 125

Systems Latency Architecture Energy 125

O'Reilly Software

DECEMBER 11, 2017

A message-based microservices architecture offers many advantages, making solutions easier to scale and expand with new services. The asynchronous nature of interservice interactions inherent to this architecture, however, poses challenges for user-initiated actions such as create-read-update-delete (CRUD) requests on an object.

Architecture 68

Architecture Government Latency Efficiency 68

The Netflix TechBlog

MARCH 4, 2024

In some cases–for example, diagnosing and remediating job failures caused by Out-Of-Memory (OOM) errors–joint effort across teams is required, involving not only the users themselves, but also the support engineers and domain experts. In this way, no human intervention is required in the remediation process. user name).

Tuning 210

Tuning Efficiency Big Data Engineering 210

The Netflix TechBlog

JANUARY 10, 2024

Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process. The Netflix video processing pipeline went live with the launch of our streaming service in 2007. The Netflix video processing pipeline went live with the launch of our streaming service in 2007.

Processing 229

Processing Media Latency Innovation 229

IO River

NOVEMBER 2, 2023

These are unchanging entities, served straight off the server, pre-generated, and devoid of server-side processing. This means that subsequent requests for the same content can be served directly from the cache, eliminating the need for additional server-side processing. For example, BBC and CNN benefit greatly from dynamic content.

Cache 52

Cache Social Media Website Performance Website 52

ScaleOut Software

JULY 19, 2021

Today’s streaming analytics architectures are not equipped to make sense of this rapidly changing information and react to it as it arrives. This architecture does not apply computing resources to track the myriad data sources sending telemetry and continuously look for issues and opportunities that need immediate responses.

IoT 78

IoT Analytics Big Data Architecture 78

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. What is cloud migration?

Cloud 165

Cloud Traffic Best Practices Strategy 165

IO River

NOVEMBER 2, 2023

These are unchanging entities, served straight off the server, pre-generated, and devoid of server-side processing. This means that subsequent requests for the same content can be served directly from the cache, eliminating the need for additional server-side processing. For example, BBC and CNN benefit greatly from dynamic content.

Cache 52

Cache Social Media Website Performance Website 52

Brendan Gregg

JULY 2, 2021

E.g., to see process execution with timestamps using execsnoop(8): # execsnoop-bpfcc -T. Low frequency events such as process execution should be negligible to capture. execsnoop New processes (via exec(2)) table. biolatency Disk I/O latency histogram heat map. runqlat CPU scheduler latency heat map.

Latency 145

Latency Cache Energy Systems 145

Dynatrace

JULY 6, 2020

Let’s look at the Azure DB for MariaDB overview as an example. Azure HDInsight is a fully-managed cloud service on Azure that makes it easy to process massive amounts of data in hyper-scale environments. We’re in a process of adding support for new cloud services in bulk. What’s next?

Azure 148

Azure Cloud Big Data Virtualization 148

Dotcom-Montior

NOVEMBER 11, 2020

In serverless architecture, when applications are developed, they are typically composed of many different services. Other benefits to serverless architecture include the following: Cost. There is plenty to like about moving to a serverless architecture, but there can be some disadvantages compared to the traditional, monolithic model.

Serverless 57

Serverless Monitoring Lambda Latency 57

ACM Sigarch

MARCH 18, 2019

How many buffers are needed to track pending requests as a function of needed bandwidth and expected latency? Can one both minimize latency and maximize throughput for unscheduled work? These models are useful for insight regarding the basic computer system performance metrics of latency and throughput (bandwidth). Little’s Law.

Systems 60

Systems Latency Performance Analytics 60

The Netflix TechBlog

NOVEMBER 20, 2023

by Jun He , Yingyi Zhang , and Pawan Dixit Incremental processing is an approach to process new or changed data in workflows. The key advantage is that it only incrementally processes data that are newly added or updated to a dataset, instead of re-processing the complete dataset.

Processing 210

Processing Big Data Efficiency Engineering 210

Smashing Magazine

SEPTEMBER 28, 2022

Every unnecessary bit of JavaScript code you bundle and serve will be more code the client has to load and process. Jamstack files usually use Markdown before being compiled to HTML, for example: author: Agustinus Theodorus title: ‘Title’ description: Description. Common Websocket Architecture. Event Sourcing Architecture.

Cache 126

Cache Performance Servers Social Media 126

ACM Sigarch

MARCH 25, 2019

How many buffers are needed to track pending requests as a function of needed bandwidth and expected latency? Can one both minimize latency and maximize throughput for unscheduled work? The M/M/1 queue will show us a required trade-off among (a) allowing unscheduled task arrivals, (b) minimizing latency, and (c) maximizing throughput.

Systems 53

Systems Latency Performance C++ 53

Abhishek Tiwari

JULY 12, 2018

These data pipelines can process data at petabytes scale and to some extent, their success can be attributed to an army of engineers devoted to build and maintain internal data pipelines. Depending on frameworks, data processing units (a.k.a A data pipeline can process data in a different order than they were received.

Latency 63

Latency Analytics Scalability Engineering 63

All Things Distributed

NOVEMBER 26, 2013

About 5 years ago, I introduced you to AWS Availability Zones, which are distinct locations within a Region that are engineered to be insulated from failures in other Availability Zones and provide inexpensive, low latency network connectivity to other Availability Zones in the same region.

Cloud 145

Cloud AWS Traffic Latency 145

ScaleOut Software

AUGUST 18, 2018

In previous blogs , we have explored the power of the digital twin model for stateful stream-processing. This minimizes event-handling latency and enables better management of local operations, while still providing strategic analysis and control by remote (cloud-based or on-premises) IoT applications.

IoT 45

IoT Ecommerce Analytics Latency 45

ScaleOut Software

AUGUST 18, 2018

In previous blogs , we have explored the power of the digital twin model for stateful stream-processing. This minimizes event-handling latency and enables better management of local operations, while still providing strategic analysis and control by remote (cloud-based or on-premises) IoT applications.

IoT 40

IoT Ecommerce Analytics Latency 40

ScaleOut Software

APRIL 6, 2021

For example, consider some of the new capabilities that real-time digital twins can provide in fleet telematics and vaccine distribution during COVID-19. This simplifies the installation process and ensures portability across operating systems. The management console installs as a set of Docker containers on the management server.

IoT 52

IoT Azure Analytics Healthcare 52

Testsigma

AUGUST 24, 2020

Continuous Testing is the process of testing at all stages of software development – one after the another- without any human intervention. Maintaining test data in a central repository and then accessing it from different test environments may ease this problem but may introduce other issues like network latency in tests.

Testing 69

Testing Open Source Scalability Latency 69

All Things Distributed

SEPTEMBER 25, 2012

Amazon RDS Provisioned IOPS is ideal for mission-critical online transaction processing (OLTP) workloads that require a high performance storage option with consistent IOPS, within a narrow band of tolerance. Being able to get consistent performance from the database tier has a huge impact on the application architecture.

Cloud 117

Cloud AWS Storage Database 117

All Things Distributed

NOVEMBER 8, 2012

For example, AWS customers use SQS for asynchronous communication pipelines, buffer queues for databases, asynchronous work queues, and moving latency out of highly responsive requests paths. For example, Netflix uses SQS for a variety of use-cases such as monitoring and encoding workflows. Within Amazonâ??s

Efficiency 104

Efficiency Cloud Games Scalability 104