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. A visual example is shown below.

Network 292

Network Media Innovation Efficiency 292

Dynatrace

MAY 19, 2022

Example 1: Architecture boundaries. This multinational information technology service and consulting company was asked to help a global automotive manufacturer with the management goal of measuring service flow performance. First, they took a big step back and looked at their end-to-end architecture (Figure 2).

Automotive 278

Automotive Latency Architecture Azure 278

Dynatrace

SEPTEMBER 13, 2023

The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability. And how can you verify this performance consistently across a multicloud environment that also uses Microsoft Azure and Google Cloud Platform frameworks?

AWS 257

AWS Efficiency Azure Cloud 257

Dynatrace

MAY 31, 2023

With so many of their transactions occurring online, customers are becoming more demanding, expecting websites and applications to always perform perfectly. Microservices-based architectures and software containers enable organizations to deploy and modify applications with unprecedented speed.

Best Practices 230

Best Practices DevOps Latency Metrics 230

The Morning Paper

OCTOBER 4, 2020

Understanding operational 5G: a first measurement study on its coverage, performance and energy consumption , Xu et al., There are high hopes for 5G , for example unlocking new applications in UHD streaming and VR, and machine-to-machine communication in IoT. What is the end-to-end throughput and latency, and where are the bottlenecks?

Energy 130

Energy Latency Performance Network 130

The Netflix TechBlog

APRIL 27, 2023

High Level Architecture The idea, at a high level, was to avoid the need to query the Atlas database almost entirely and transition most alert queries to streaming evaluation. For the example query listed above, the data expressions are name,errors,:eq,:sum and name,rps,:eq,:sum. OK, Results?

Storage 288

Storage Cache Metrics Database 288

Dynatrace

OCTOBER 10, 2022

Popular examples include AWS Lambda and Microsoft Azure Functions , but new providers are constantly emerging as this model becomes more mainstream. Reduced latency. Serverless architecture makes it possible to host code anywhere, rather than relying on an origin server. Architectural complexity. Optimizes resources.

Serverless 172

Serverless Infrastructure Lambda Latency 172

High Scalability

JANUARY 11, 2022

Architecture. from a client it performs two parallel operations: i) persisting the action in the data store ii) publish the action in a streaming data store for a pub-sub model. User Feed Service, Media Counter Service) read the actions from the streaming data store and performs their specific tasks. High Level Design.

Design 334

Design Media Storage Logistics 334

Smashing Magazine

SEPTEMBER 28, 2022

Five Data-Loading Patterns To Improve Frontend Performance. Five Data-Loading Patterns To Improve Frontend Performance. When it comes to performance, you shouldn’t be stingy. On design systems, UX, web performance and CSS/JS. Agustinus Theodorus. 2022-09-27T14:00:00+00:00. 2022-09-27T16:33:12+00:00. Hello World.

Cache 126

Cache Performance Servers Social Media 126

Dynatrace

SEPTEMBER 18, 2020

Sure, cloud infrastructure requires comprehensive performance visibility, as Dynatrace provides , but the services that leverage cloud infrastructures also require close attention. Cloud-based application architectures commonly leverage microservices. High latency or lack of responses. Soaring number of active connections.

Infrastructure 194

Infrastructure Latency Metrics Analytics 194

Dynatrace

JULY 18, 2023

This is especially crucial in microservice architectures, where the number of components can be overwhelming. While developers edit files, a simple CLI command applies configurations to Dynatrace and, for example, automates the setup of a quality gate, including workflows and Site Reliability Guardians.

Best Practices 198

Best Practices Code Infrastructure Latency 198

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. As it turns out, for the large majority of Netflix use cases, its performance is far from optimal.

Cache 251

Cache Latency Airlines Logistics 251

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

Real-time stream processing to perform live activity tracking, data cleansing, metrics generation, and more. Some common examples include: A request through API Gateway or Amplify. The function itself performs a small unit of work and Lambda charges subscribers by the millisecond. Optimizing Lambda for performance.

Lambda 187

Lambda AWS Serverless Hardware 187

cdemi

FEBRUARY 20, 2017

Serverless is currently a hot topic in many modern architectural patterns. There will be many advances in the field over the coming years and it will be fascinating to see how they fit into our architectural toolkit. This has a huge impact on application architecture, however having said that, it's not necessarily a bad idea.

Serverless 64

Serverless Architecture Lambda Azure 64

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. In layman’s terms, SLOs represent the performance or health of a service. Dynatrace news. What are SLOs?

Metrics 200

Metrics Best Practices DevOps Infrastructure 200

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. There are further requirements for high performance in the following: Telecom: vEPC or 5G Core.

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. There are further requirements for high performance in the following: Telecom: vEPC or 5G Core.

Architecture 40

Architecture Scalability Ecommerce Latency 40

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. Auto Remediation generates recommendations by considering both performance (i.e.,

Tuning 210

Tuning Efficiency Big Data Engineering 210

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

Latency 213

Latency Traffic Transportation Hardware 213

ACM Sigarch

MARCH 18, 2019

Existing systems can be studied with measurement, while prospective systems are most often studied by extrapolating from measurements of prior systems or via simulation software that mimics target system function and provides performance metrics. Can one both minimize latency and maximize throughput for unscheduled work? Little’s Law.

Systems 60

Systems Latency Performance Analytics 60

Tim Kadlec

JULY 28, 2015

This first post looks at the general architecture of proxy browsers with a performance focus. These browsers perform optimizations and transcoding that can provide significant improvements. Typical Browser Architecture. Perform layout. All of that came later. It must: Resolve the DNS. Construct a DOM and CSSOM.

Architecture 75

Architecture Servers Network Latency 75

IO River

NOVEMBER 2, 2023

Do continue reading to gain a deep dive into static and dynamic content, its differences, pros, and cons while focusing on the best ways to optimize performance on websites that use such content.‍What For example, BBC and CNN benefit greatly from dynamic content. For example, consider tools like ChatGPT.

Cache 52

Cache Social Media Website Performance Website 52

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

Dynatrace

JULY 6, 2020

Effortlessly optimize Azure database performance. Database-service views provide all the metrics you need to set up high-performance database services. Let’s look at the Azure DB for MariaDB overview as an example. Get full observability into your Azure MySQL database. Get a comprehensive view of your batch jobs.

Azure 151

Azure Cloud Big Data Virtualization 151

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

IO River

NOVEMBER 2, 2023

Do continue reading to gain a deep dive into static and dynamic content, its differences, pros, and cons while focusing on the best ways to optimize performance on websites that use such content.‍What is Static Content?Static For example, BBC and CNN benefit greatly from dynamic content. For example, consider tools like ChatGPT.

Cache 52

Cache Social Media Website Performance Website 52

Dynatrace

SEPTEMBER 30, 2021

For example, as traffic increases, costs will too. Improved performance and availability. The third big advantage of cloud migration is performance and availability. A major problem of traditional IT environments is the amount of downtime – planned or unplanned – which inevitably impacts performance and availability.

Cloud 172

Cloud Traffic Best Practices Strategy 172

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

Brendan Gregg

JULY 2, 2021

biolatency Disk I/O latency histogram heat map. runqlat CPU scheduler latency heat map. I chose these to find the most performance wins with the fewest tools. There is already documentation as man pages and example files in the bcc and bpftrace repositories that you can link to, to help your customers understand the tool output.

Latency 145

Latency Cache Energy Systems 145

The Morning Paper

MAY 14, 2019

Seer: leveraging big data to navigate the complexity of performance debugging in cloud microservices Gan et al., Finally, we show that Seer can identify application level design bugs, and provide insights on how to better architect microservices to achieve predictable performance. ASPLOS’19.

Big Data 45

Big Data Cloud Performance Hardware 45

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

All Things Distributed

SEPTEMBER 25, 2012

Following the huge success of being able to provision a consistent, user-requested I/O rate for DynamoDB and Elastic Block Store (EBS), the AWS Database Services team has now released Provisioned IOPS, a new high performance storage option for the Amazon Relational Database Service (Amazon RDS). High Performance I/O. s architecture.

Cloud 117

Cloud AWS Storage Database 117

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

HammerDB

MAY 5, 2019

Note that the main developer of HammerDB is Intel employee (#IAMINTEL) however HammerDB is a personal open source project and HammerDB has no optimization whatsoever for a database running on any particular architecture. The optimal performance remained at the default. In the recent MySQL 8.0.16 Type "help" for a list of commands.

Testing 48

Testing Tuning Latency Storage 48

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

CSS - Tricks

JULY 25, 2019

This article is from my friend Ben who runs Calibre , a tool for monitoring the performance of websites. Now that Google uses page speed as a ranking factor, many organizations have become laser-focused on performance. To understand how these changes affect us from a performance perspective, we need to grasp the underlying technology.

Google 71

Google Engineering Speed Mobile 71