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 251

Cache Latency Airlines Logistics 251

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 198

Artificial Intelligence DevOps Hardware Virtualization 198

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 233

Latency Cache Java Traffic 233

Dynatrace

APRIL 5, 2021

The 2014 launch of AWS Lambda marked a milestone in how organizations use cloud services to deliver their applications more efficiently, by running functions at the edge of the cloud without the cost and operational overhead of on-premises servers. AWS continues to improve how it handles latency issues. Dynatrace news.

Lambda 178

Lambda AWS Serverless Hardware 178

Brendan Gregg

FEBRUARY 28, 2023

My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory. Ford, et al., “TCP

Performance 110

Performance Latency Cache Virtualization 110

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 100

AWS Entertainment Open Source Benchmarking 100

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 100

AWS Entertainment Open Source Benchmarking 100

Dynatrace

APRIL 26, 2022

Digital experience monitoring enables companies to respond to issues more efficiently in real time, and, through enrichment with the right business data, understand how end-user experience of their digital products significantly affects business key performance indicators (KPIs).

Monitoring 200

Monitoring Social Media IoT Metrics 200

Smashing Magazine

NOVEMBER 8, 2021

As developers, we rightfully obsess about the customer experience, relentlessly working to squeeze every millisecond out of the critical rendering path, optimize input latency, and eliminate jank. Continue reading below ↓ Meet Smart Interface Design Patterns , with Vitaly Friedman. Ilya Grigorik. 2021-11-08T14:30:00+00:00.

Cache 135

Cache Best Practices Strategy Servers 135

The Morning Paper

JANUARY 30, 2020

Edge servers are the middle ground – more compute power than a mobile device, but with latency of just a few ms. physics engine that simulates 3D cubes falling from the air. Future work includes delving into more realistic use cases and addressing other challenges related to mobile computing such as energy efficiency.

Mobile 104

Mobile Cloud Latency Games 104

Dotcom-Montior

DECEMBER 8, 2021

In the world of a site reliability engineer (SRE) , failure is not only an option, but also expected. In a different article, we talked about chaos engineering and how SRE teams proactively seek out and test for failures to prevent the worst from happening. ITSM defines how teams design, create, and deliver their services.

Social Media 90

Social Media Monitoring Latency DevOps 90

Dotcom-Montior

NOVEMBER 16, 2021

In this article, we will take a deeper dive into the various SRE principles and guidelines that a site reliability engineer practices in their role. Google was the first company to create, embrace, and put support behind the role of site reliability engineering. Release Engineering. Release engineering.

Monitoring 91

Monitoring Google DevOps Engineering 91

The Morning Paper

OCTOBER 11, 2020

That’s not enough bandwidth to download data from thousands of nano-satellites, nor enough to efficiently reconfigure a cluster via the uplink. Orbital Edge Computing (OEC) is designed to do just that. The simplified general perturbation model (SGP4) is used as the orbital mechanics engine. SPG4 is the GPS of space!

Systems 125

Systems Latency Architecture Energy 125

Dynatrace

SEPTEMBER 30, 2021

Like any move, a cloud migration requires a lot of planning and preparation, but it also has the potential to transform the scope, scale, and efficiency of how you deliver value to your customers. This can fundamentally transform how they work, make processes more efficient, and improve the overall customer experience. Here are three.

Cloud 163

Cloud Traffic Best Practices Strategy 163

Brendan Gregg

FEBRUARY 28, 2023

My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory. Ford, et al., “TCP

Performance 52

Performance Latency Cache Virtualization 52

Percona

SEPTEMBER 1, 2023

Enhanced Database Efficiency By adjusting configuration settings, you can markedly enhance the overall efficiency of your MySQL database. This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. Let’s explore these benefits in more detail.

Tuning 52

Tuning Database Performance Hardware 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

The Netflix TechBlog

SEPTEMBER 3, 2021

Remote calls are never free; they impose extra latency, increase probability of an error, and consume network bandwidth. How can we achieve a similar functionality when designing our gRPC APIs? The solution we use within the Netflix Studio Engineering is protobuf FieldMask. Our protobuf message definition (.proto

Design 245

Design Java Efficiency Code 245

O'Reilly Software

DECEMBER 11, 2017

While the addition of a user-interaction service increases the complexity of the user’s interaction with Team Service, it results in a more scalable and efficient architecture overall. In our implementation, as illustrated by message 9, we include a message time-out for late arrivals beyond a maximum latency time (TIME_OUT_LATENCY = 10 min).

Architecture 68

Architecture Government Latency Efficiency 68

Smashing Magazine

SEPTEMBER 28, 2022

On design systems, UX, web performance and CSS/JS. An SSR application will generally have templating engines that inject the variables into an HTML when given to the client. Efficient use of a client’s resources and bandwidth can greatly improve your application’s performance. More after jump! Jump to online workshops ?.

Cache 125

Cache Performance Servers Social Media 125

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. Not everyone is operating at Netflix or Spotify scale data engineering function.

Latency 63

Latency Analytics Scalability Engineering 63

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 37

AWS Entertainment Open Source Benchmarking 37

Highly Scalable

AUGUST 20, 2013

This article is an effort to explore techniques used by developers of in-stream data processing systems, trace the connections of these techniques to massive batch processing and OLTP/OLAP databases, and discuss how one unified query engine can support in-stream, batch, and OLAP processing at the same time. Modularity and flexibility.

Big Data 154

Big Data Processing Lambda Database 154

Scalegrid

MARCH 28, 2024

As Redis stores data, it supports extensive data key and string lengths, up to 512 MB, while offering complex data structures like: lists sets sorted sets hashes bitmaps These features make Redis much more than a basic caching engine; it is a versatile tool capable of supporting diverse data models.

Cache 130

Cache Storage Scalability Architecture 130

Testsigma

JANUARY 30, 2021

The applications are designed using the same code base as Desktop like HTML, Javascript, and CSS. Unlike Native Applications, Mobile web applications do not have to be designed separately for IOS and Android. Test how user-friendly an application is: Google search engine gives high priority to websites in comparison to desktop apps.

Mobile 52

Mobile Testing Website Internet 52

Dynatrace

JULY 24, 2023

In the world of DevOps and SRE, DevOps automation answers the undeniable need for efficiency and scalability. This evolution in automation, referred to as answer-driven automation, empowers teams to address complex issues in real time, optimize workflows, and enhance overall operational efficiency.

DevOps 217

DevOps Traffic Efficiency Servers 217

The Netflix TechBlog

NOVEMBER 20, 2023

It also improves the engineering productivity by simplifying the existing pipelines and unlocking the new patterns. We will show how we are building a clean and efficient incremental processing solution (IPS) by using Netflix Maestro and Apache Iceberg. There are three common issues that the dataset owners usually face.

Processing 210

Processing Big Data Efficiency Engineering 210

The Netflix TechBlog

DECEMBER 21, 2020

We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits. 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.

Storage 203

Storage Latency Efficiency Data Engineering 203

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 215

Engineering Systems Scalability Availability 215

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 229

Processing Media Latency Innovation 229

Scalegrid

MARCH 14, 2024

In practice, a hybrid cloud operates by melding resources and services from multiple computing environments, which necessitates effective coordination, orchestration, and integration to work efficiently. Tailoring resource allocation efficiently ensures faster application performance in alignment with organizational demands.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

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. What is DevOps?

DevOps 194

DevOps Best Practices Innovation Strategy 194

The Netflix TechBlog

SEPTEMBER 24, 2021

Figure 1: A Simplified Video Processing Pipeline With this architecture, chunk encoding is very efficient and processed in distributed cloud computing instances. Uploading and downloading data always come with a penalty, namely latency.

Cloud 237

Cloud Media Storage Cache 237

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. One can perform this comparison live on the request path or offline based on the latency requirements of the particular use case.

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

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. Moving data with Bulldozer at Netflix.

Latency 243

Latency Storage Big Data Tuning 243

Percona

MARCH 29, 2023

As the amount of data grows, the need for efficient data compression becomes increasingly important to save storage space, reduce I/O overhead, and improve query performance. Data compression MongoDB offers various block compression methods used by the WiredTiger storage engine, like snappy, zlib, and zstd. I am using PSMDB 6.0.4

Storage 111

Storage Network Open Source Latency 111