O'Reilly Software

APRIL 4, 2018

Fast forward to the present day and we find ourselves in a world where the number of connected devices is constantly increasing. The data shape will dictate capacity planning, tuning of the backbone, and scalability analysis for individual components. These requirements impose strong scalability and resilience implications.

Architecture 80

Architecture Scalability Google Operating System 80

HammerDB

OCTOBER 18, 2019

cpupower frequency-info analyzing CPU 0: driver: intel_pstate CPUs which run at the same hardware frequency: 0 CPUs which need to have their frequency coordinated by software: 0 maximum transition latency: Cannot determine or is not supported. hardware limits: 1000 MHz - 4.00 bin/pgbench -c 1 -S -T 60 pgbench starting vacuum.end.

Benchmarking 63

Benchmarking Performance Hardware C++ 63

The Netflix TechBlog

FEBRUARY 9, 2021

When we merge these two concepts together and present them to the customer, we have the plan selection page (shown above). This implies that the presentation layer should be void of any business logic and should simply be responsible for rendering data that is passed to it. Conclusion This work was a large cross-functional effort.

Engineering 142

Engineering Scalability Architecture Innovation 142

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

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 third generation, called Reloaded , has been online for about seven years and has proven to be stable and massively scalable.

Serverless 228

Serverless Media Latency Social Media 228

The Netflix TechBlog

OCTOBER 27, 2020

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. Figure 1 shows how we use Bulldozer to move data at Netflix. Moving data with Bulldozer at Netflix.

Latency 243

Latency Storage Big Data Tuning 243

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. These principles reduce resource usage by being more efficient and effective while lowering the end-to-end latency in data processing. More processing resources.

Storage 203

Storage Latency Efficiency Data Engineering 203

All Things Distributed

DECEMBER 12, 2013

We launched DynamoDB last year to address the need for a cloud database that provides seamless scalability, irrespective of whether you are doing ten transactions or ten million transactions, while providing rock solid durability and availability. Going beyond Key-Value. The results are ordered by the range key, TopScore.

Games 130

Games Scalability Database Retail 130

All Things Distributed

NOVEMBER 29, 2017

As there are few individuals with this expertise, an easier process presents a significant opportunity for companies who want to accelerate their ML usage. After this, there is often a long process of training that includes tuning the knobs and levers, called hyperparameters, that control the different aspects of the training algorithm.

Tuning 96

Tuning AWS Scalability Infrastructure 96

SQL Server According to Bob

JANUARY 11, 2020

​​ Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information presented after the date of publication. This White Paper is for informational purposes only.

Servers 40

Servers Cache Database Media 40

The Netflix TechBlog

DECEMBER 17, 2019

Go to step 1 if more chunks present. Passive instances across regions are also possible, though it is recommended to operate in the same region as the database host in order to keep the change capture latencies low. Linkedin’s scalable consistent change data capture platform. Figure 4— Delta Connector. Schema store integration.

Database 197

Database Traffic Transportation Open Source 197

The Netflix TechBlog

DECEMBER 17, 2019

Go to step 1 if more chunks present. Passive instances across regions are also possible, though it is recommended to operate in the same region as the database host in order to keep the change capture latencies low. Linkedin’s scalable consistent change data capture platform. Figure 4— Delta Connector. Schema store integration.

Database 212

Database Traffic Transportation Open Source 212