The Netflix TechBlog

NOVEMBER 22, 2019

December 2 1pm-2pm CMP 326-R Capacity Management Made Easy with Amazon EC2 Auto Scaling Vadim Filanovsky , Senior Performance Engineer & Anoop Kapoor, AWS Abstract :Amazon EC2 Auto Scaling offers a hands-free capacity management experience to help customers maintain a healthy fleet, improve application availability, and reduce costs.

AWS 100

AWS Entertainment Open Source Benchmarking 100

The Netflix TechBlog

DECEMBER 21, 2020

At this scale, we can gain a significant amount of performance and cost benefits by optimizing the storage layout (records, objects, partitions) as the data lands into our warehouse. We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits.

Storage 203

Storage Latency Efficiency Data Engineering 203

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. The current system assumes an application specific regression model is available on the servers which can predict processing time given the current parameters of the job (e.g. in the cloud).

Mobile 104

Mobile Cloud Latency Games 104

SQL Performance

FEBRUARY 26, 2020

Azure SQL Database Managed Instance became generally available in late 2018. The General Purpose tier is designed for applications with typical performance and I/O latency requirements and provides built-in HA. The Business Critical tier is designed for applications that require low I/O latency and higher HA requirements.

Azure 63

Azure Performance Storage Latency 63

The Morning Paper

AUGUST 29, 2019

We focused on OLAP-oriented parallel data warehouse products available for AWS and restricted our attention to commercially available systems. The design space. For cost calculations, the costs are a combination of compute costs, storage costs, data scan costs, and software license costs. Key findings. Serverless o?erings

Architecture 76

Architecture Cloud Storage Serverless 76

The Morning Paper

JUNE 13, 2019

As we saw with the SOAP paper last time out, even with a fixed model variant and hardware there are a lot of different ways to map a training workload over the available hardware. The following figure highlights how just one of these variables, batch size, impacts throughput and latency on ResNet50. The paper is silent on this issue.

Hardware 58

Hardware Latency Serverless Energy 58

Percona

SEPTEMBER 1, 2023

This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. This reduction in latency ensures that applications and websites provide a more rapid and responsive user experience. Regularly optimizing query structures is vital.

Tuning 52

Tuning Database Performance Hardware 52

Dynatrace

JUNE 25, 2020

Dynatrace Managed is intrinsically highly available as it stores three copies of all events, user sessions, and metrics across its cluster nodes. The network latency between cluster nodes should be around 10 ms or less. Turnkey high availability across globally distributed data centers. Dynatrace news.

Availability 246

Availability Hardware Latency Traffic 246

ScaleOut Software

JULY 21, 2020

Designed to help scalable applications deliver high performance, it stores live, fast-changing data in memory (DRAM) for fast updates and retrieval. From its inception, the design philosophy behind ScaleOut StateServer has been to simultaneously maximize both performance and ease of use. In-Memory Data Grids for Fast-Changing Data.

Analytics 52

Analytics Airlines Cache Scalability 52

ScaleOut Software

JULY 21, 2020

Designed to help scalable applications deliver high performance, it stores live, fast-changing data in memory (DRAM) for fast updates and retrieval. From its inception, the design philosophy behind ScaleOut StateServer has been to simultaneously maximize both performance and ease of use. In-Memory Data Grids for Fast-Changing Data.

Analytics 52

Analytics Airlines Cache Scalability 52

Scalegrid

MARCH 28, 2024

This article will explore how they handle data storage and scalability, perform in different scenarios, and, most importantly, how these factors influence your choice. Redis Data Types and Structures The design of Redis’s data structures emphasizes versatility. Memcached’s primary strength lies in its simplicity.

Cache 130

Cache Storage Scalability Architecture 130

All Things Distributed

MARCH 2, 2011

Japanese companies and consumers have become used to low latency and high-speed networking available between their businesses, residences, and mobile devices. The advanced Asia Pacific network infrastructure also makes the AWS Tokyo Region a viable low-latency option for customers from South Korea. Contact Info. Werner Vogels.

AWS 114

AWS Cloud Games Latency 114

Smashing Magazine

NOVEMBER 9, 2021

To do that, you develop a personalized design style, including a certain combination of colors, typography, spacing, animations, and others, and apply the style consistently throughout your site. They can also take part in the unique design so that visitors browsing your site will immediately recognize it simply by looking at the content.

Website 103

Website Social Media Media Design 103

O'Reilly Software

JUNE 12, 2018

Data is all-important—vital for the continued success of our businesses—but has also been seen as a massive constraint in how we design and evolve our systems. This meant a lot of time was spent on things like cycle time analysis, build pipeline design, test automation, and infrastructure automation. How do you do that effectively?

Database 72

Database Cache Architecture Latency 72

The Netflix TechBlog

NOVEMBER 22, 2019

December 2 1pm-2pm CMP 326-R Capacity Management Made Easy with Amazon EC2 Auto Scaling Vadim Filanovsky , Senior Performance Engineer & Anoop Kapoor, AWS Abstract :Amazon EC2 Auto Scaling offers a hands-free capacity management experience to help customers maintain a healthy fleet, improve application availability, and reduce costs.

AWS 37

AWS Entertainment Open Source Benchmarking 37

All Things Distributed

DECEMBER 3, 2009

We have expanded the AWS footprint in the US and starting today a new AWS Region is available for use: US-West (Northern California). This new Region consists of multiple Availability Zones and provides low-latency access to the AWS services from for example the Bay Area. Driving Storage Costs Down for AWS Customers.

AWS 60

AWS Cloud Latency Storage 60

HammerDB

DECEMBER 5, 2020

The HammerDB TPROC-C workload by design intended as CPU and memory intensive workload derived from TPC-C – so that we get to benchmark at maximum CPU performance at a much smaller database footprint. For TPC-C this meant enough available spindles to reduce I/O latency and for TPC-H enough bandwidth for data throughput.

C++ 40

C++ Benchmarking Virtualization Open Source 40

All Things Distributed

JULY 11, 2011

With this change, we will improve the granularity of pricing information you receive by introducing a Spot Instance price per Availability Zone rather than a Spot Instance price per Region. Customers whose bids exceed the Spot price gain access to the available Spot Instances and run as long as the bid exceeds the Spot Price.

AWS 87

AWS Storage Cloud Big Data 87

All Things Distributed

JULY 13, 2010

Cluster Computer Instances for Amazon EC2 are a new instance type specifically designed for High Performance Computing applications. Today, I am very proud to be a part of the Amazon Web Services team as we truly make HPC available as an on-demand commodity for every developer to use. Driving Storage Costs Down for AWS Customers.

Cloud 119

Cloud AWS Automotive Latency 119

All Things Distributed

DECEMBER 5, 2010

I am very excited that today we have launched Amazon Route 53, a high-performance and highly-available Domain Name System (DNS) service. Route 53 provides Authoritative DNS functionality implemented using a world-wide network of highly-available DNS servers. Driving Storage Costs Down for AWS Customers. Comments (). or rss feed.

Cloud 117

Cloud Internet Internet AWS 117

Abhishek Tiwari

JULY 12, 2018

Data Pipeline A data pipeline is a software that ingests data from multiple sources, transforms it and finally makes it available to internal or external products. Processing latency is minimum If only you can infinitely scale your data pipeline, processing latency can be guaranteed to be minimum, but we know for sure that is not true.

Latency 63

Latency Analytics Scalability Engineering 63

All Things Distributed

APRIL 28, 2010

There are four main reasons to do so: Performance - For many applications and services, data access latency to end users is important. The new Singapore Region offers customers in APAC lower-latency access to AWS services. The Asia Pacific (Singapore) region launches with two Availability Zones. Go to [link] for pricing.

AWS 61

AWS Cloud Latency Storage 61

Percona

MARCH 29, 2023

Compression in any database is necessary as it has many advantages, like storage reduction, data transmission time, etc. Storage reduction alone results in significant cost savings, and we can save more data in the same space. By default, MongoDB provides a snappy block compression method for storage and network communication.

Storage 106

Storage Network Open Source Latency 106

All Things Distributed

AUGUST 16, 2011

There are different considerations when deciding where to allocate resources with latency and cost being the two obvious ones, but compliance sometimes plays an important role as well. The Cloud First strategy is most visible with new Federal IT programs, which are all designed to be â??Cloud Cloud Readyâ??; More information.

AWS 113

AWS Government Big Data Cloud 113

Percona

APRIL 17, 2023

Note that the intent of tuning the settings is not exclusively about improving performance but also enhancing the high availability and resilience of the MongoDB database. There is an issue with this, which causes the OS to swap even with memory available. The CFQ works well for many general use cases but lacks latency guarantees.

Best Practices 52

Best Practices Design Tuning Database 52

Scalegrid

JANUARY 12, 2024

All rely heavily on utilizing allocated portions from existing pools made available through specific providers as part of their service offerings. There are numerous choices available for deploying these workloads on various cloud provider platforms that offer unique capabilities.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Scalegrid

MARCH 14, 2024

Public Cloud Infrastructure Third-party providers run public cloud services, delivering a broad array of offerings like computing power, storage solutions, and network capabilities that enhance the functionality of a hybrid cloud architecture. We will examine each of these elements in more detail.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

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

Percona

DECEMBER 11, 2023

A Dedicated Log Volume (DLV) is a specialized storage volume designed to house database transaction logs separately from the volume containing the database tables. DLVs are particularly advantageous for databases with large allocated storage, high I/O per second (IOPS) requirements, or latency-sensitive workloads.

AWS 95

AWS Benchmarking Performance Traffic 95

The Netflix TechBlog

MARCH 7, 2023

We designed a unique concept called Annotation Operations which allows teams to create data pipelines and easily write annotations without worrying about access patterns of their data from different applications. But we cannot search or present low latency retrievals from files Etc. This is obviously very expensive.

Media 264

Media Latency Architecture Database 264

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. As most key-value storage engines support efficiently deleting a namespace (e.g.

Latency 243

Latency Storage Big Data Tuning 243

The Netflix TechBlog

APRIL 26, 2022

We will share how its design has evolved over the years and the lessons learned while building it. To understand Axion’s design, we need to know the various components that interact with it. These facts are managed and made available by services like viewing history or video metadata services outside of Axion.

Storage 187

Storage Design Scalability Latency 187

Scalegrid

DECEMBER 16, 2019

We ran performance tests for MongoDB on DigitalOcean vs. AWS vs. Azure and found that DigitalOcean performance was in line with, if not better, on both high throughput and low latency in the deployment. DigitalOcean Droplets. The most basic Droplet is their Standard instance which uses shared CPU starting at just $5/month.

Azure 187

Azure AWS Latency Database 187

The Netflix TechBlog

NOVEMBER 3, 2022

When a new leader is elected it loads all data from external storage. In PACELC terms we choose PC/EC and have the same level of availability for writes of our previous system while improving our theoretical availability for reads. cell): Titus Job Coordinator is a leader elected process managing the active state of the system.

Cache 224

Cache Latency Traffic Systems 224

Dynatrace

JANUARY 31, 2024

million” – Gartner Data observability is a practice that helps organizations understand the full lifecycle of data, from ingestion to storage and usage, to ensure data health and reliability. At its core, data observability is about ensuring the availability, reliability, and quality of data.

DevOps 194

DevOps Analytics Airlines Metrics 194

The Netflix TechBlog

NOVEMBER 2, 2021

For example, when we design a new version of VMAF, we need to effectively roll it out throughout the entire Netflix catalog of movies and TV shows. This article explains how we designed microservices and workflows on top of the Cosmos platform to bolster such video quality innovations. The workflow is initiated. 4c & 5.

Media 171

Media Innovation Metrics Latency 171

Highly Scalable

AUGUST 20, 2013

This system has been designed to supplement and succeed the existing Hadoop-based system that had too high latency of data processing and too high maintenance costs. The design of the in-stream processing engine itself was driven by the following requirements: SQL-like functionality. Fault-tolerance.

Big Data 154

Big Data Processing Lambda Database 154