The Netflix TechBlog

NOVEMBER 22, 2019

This entertaining romp through the tech stack serves as an introduction to how we think about and design systems, the Netflix approach to operational challenges, and how other organizations can apply our thought processes and technologies. Technology advancements in content creation and consumption have also increased its data footprint.

AWS 100

AWS Entertainment Open Source Benchmarking 100

Dynatrace

SEPTEMBER 25, 2019

Therefore, it requires multidimensional and multidisciplinary monitoring: Infrastructure health —automatically monitor the compute, storage, and network resources available to the Citrix system to ensure a stable platform. Citrix platform performance—optimize your Citrix landscape with insights into user load and screen latency per server.

Latency 116

Latency Performance Virtualization Infrastructure 116

High Scalability

JULY 20, 2018

Yet we still program with text—in files. DonHopkins : NeWS differs from the current technology stack in that it was all coherently designed at once by James Gosling and David Rosenthal, by taking several steps back and thinking deeply about all the different problems it was trying to solve together.

Internet 121

Internet Internet Scalability Automotive 121

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. It was a great privilege. Ford, et al., “TCP

Performance 52

Performance Latency Cache Virtualization 52

ScaleOut Software

JULY 19, 2021

Incoming data is saved into data storage (historian database or log store) for query by operational managers who must attempt to find the highest priority issues that require their attention. The technology that can do this is called in-memory computing. The heavy lifting is deferred to the back office.

IoT 78

IoT Analytics Big Data Architecture 78

ScaleOut Software

JULY 14, 2021

The Microsoft Azure IoT ecosystem offers a rich set of capabilities for processing IoT telemetry, from its arrival in the cloud through its storage in databases and data lakes. Acting as a switchboard for incoming and outgoing messages, Azure IoT Hub forms the core of these capabilities. Azure digital twins serve a different purpose.

IoT 52

IoT Azure Analytics Serverless 52

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. But that fully self sufficient nature means that each of these services have their own end-to-end full stack of technology, including database.

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. But that fully self sufficient nature means that each of these services have their own end-to-end full stack of technology, including database.

Architecture 40

Architecture Scalability Ecommerce Latency 40

The Netflix TechBlog

NOVEMBER 22, 2019

This entertaining romp through the tech stack serves as an introduction to how we think about and design systems, the Netflix approach to operational challenges, and how other organizations can apply our thought processes and technologies. Technology advancements in content creation and consumption have also increased its data footprint.

AWS 37

AWS Entertainment Open Source Benchmarking 37

ScaleOut Software

JULY 21, 2020

For more than fifteen years, ScaleOut StateServer® has demonstrated technology leadership as an in-memory data grid (IMDG) and distributed cache. ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . In-Memory Data Grids for Fast-Changing Data. Java applications use a similar mechanism.).

Analytics 52

Analytics Airlines Cache Scalability 52

ScaleOut Software

JULY 21, 2020

For more than fifteen years, ScaleOut StateServer® has demonstrated technology leadership as an in-memory data grid (IMDG) and distributed cache. ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . In-Memory Data Grids for Fast-Changing Data. Java applications use a similar mechanism.).

Analytics 52

Analytics Airlines Cache Scalability 52

O'Reilly

NOVEMBER 12, 2019

When we asked if respondents’ organizations had adopted serverless (defining “adopted” as entering into a contract with a vendor to provide serverless resources), we expected a low take rate for this relatively new and developing technology. latency, startup, mocking, etc.) changing the integration landscape—at least for now.

Serverless 88

Serverless Architecture FinTech Infrastructure 88

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??; At werner.ly Syndication.

AWS 111

AWS Government Big Data Cloud 111

High Scalability

SEPTEMBER 14, 2018

72 : signals sensed from a distant galaxy using AI; 12M : reddit posts per month; 10 trillion : per day Google generated test inputs with 100s of servers for several months using OSS-Fuzz; 200% : growth in Cloud Native technologies used in production; $13 trillion : potential economic impact of AI by 2030; 1.8 They'll love you even more.

Internet 30

Internet Internet Scalability Education 30

ScaleOut Software

MAY 4, 2014

Usually this means moving to a server with more CPU cores, greater memory capacity, and higher-end networking and storage options. Now CPU, memory, and storage resources can grow without predefined limits. At some point, scaling up becomes costly, and workloads grow beyond what even a high end server can handle.

Network 40

Network Servers Analytics Storage 40

Alex Russell

JULY 14, 2021

Understanding how mobile OSes undermine browser choice requires a nuanced understanding of OS and browser technology. The power dynamics of these situations are starkly different, even though "web technology" is used to render content in each case. It's no wonder that few commenters are connecting the dots. [2].

Google 121

Google Mobile Engineering Internet 121

SQL Server According to Bob

JANUARY 11, 2020

​​ The storage ​​ space that is required ​​ for the sparse file is only that of the actual bytes written to the file and not the ​​ maximum ​​ file ​​ size.

Servers 40

Servers Cache Database Media 40

SQL Server According to Bob

JANUARY 11, 2020

Stable Media Stable media is often confused with physical storage. SQL Server defines stable media as storage that can survive system restart or common failure. Stable media is commonly physical disk storage, but other devices and certain caching facilities qualify as well. See the article for more details. SQL Server 7.0

Servers 40

Servers Cache Media Hardware 40

All Things Distributed

APRIL 9, 2015

At Amazon we have hundreds of teams using machine learning and by making use of the Machine Learning Service we can significantly speed up the time they use to bring their technologies into production. AWS has been offering a range of storage solutions: objects, block storage, databases, archiving, etc. Details on the AWS Blog.

Lambda 122

Lambda Cloud IoT AWS 122

All Things Distributed

DECEMBER 12, 2018

They can run applications in Sweden, serve end users across the Nordics with lower latency, and leverage advanced technologies such as containers, serverless computing, and more. In 2013, AWS launched the AWS Activate program to provide Nordic startups access to guidance and one-on-one time with AWS experts.

AWS 124

AWS Cloud Games Serverless 124

All Things Distributed

NOVEMBER 15, 2010

We believe that making these GPU resources available for everyone to use at low cost will drive new innovation in the application of highly parallel programming models. For example, the most fundamental abstraction trade-off has always been latency versus throughput. General Purpose GPU programming. From CPU to GPU.

AWS 136

AWS Latency Programming Architecture 136

All Things Distributed

AUGUST 20, 2015

Today, we are releasing a plugin that allows customers to use the Titan graph engine with Amazon DynamoDB as the backend storage layer. It opens up the possibility to enjoy the value that graph databases bring to relationship-centric use cases, without worrying about managing the underlying storage. The importance of relationships.

Database 134

Database Logistics Availability Social Media 134

All Things Distributed

NOVEMBER 29, 2017

Though the AWS Cloud gives you access to the storage and processing power required for ML, the process for building, training, and deploying ML models has unique challenges that often block successful use of this powerful new technology. The challenges begin with collecting, cleaning, and formatting training data.

Tuning 94

Tuning AWS Scalability Infrastructure 94