Scalegrid

MARCH 28, 2024

Redis Data Types and Structures The design of Redis’s data structures emphasizes versatility. It is designed to cache plain text values, offering fast read and write access to frequently accessed data. Advanced Redis Features Showdown Big data center concept, cloud database, server power station of the future.

Cache 130

Cache Storage Scalability Architecture 130

The Netflix TechBlog

APRIL 29, 2019

Open Connect Open Connect is Netflix’s content delivery network (CDN). video streaming) takes place in the Open Connect network. Various software systems are needed to design, build, and operate this CDN infrastructure, and a significant number of them are written in Python. are you logged in?

Open Source 279

Open Source Network Infrastructure Big Data 279

Scalegrid

MARCH 14, 2024

When delving into the networking aspect of a hybrid cloud deployment, complexities arise due to the requirement of linking or expanding existing on-premises network architectures into the cloud sphere. We will examine each of these elements in more detail.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

AUGUST 10, 2021

BPAY is in the midst of its digital transformation journey in which it is discovering the critical importance of developing “contemporary ways of designing, operating, and using” its software. She’s quite clear about which kinds of data, though. Investing in data is easy but using it is really hard”.

DevOps 246

DevOps Innovation Big Data Cloud 246

Dynatrace

JUNE 1, 2020

However, with today’s highly connected digital world, monitoring use cases expand to the services, processes, hosts, logs, networks, and of course, end-users that access these applications – including your customers and employees. Websites, mobile apps, and business applications are typical use cases for monitoring.

Artificial Intelligence 184

Artificial Intelligence Social Media Monitoring IoT 184

Dynatrace

JUNE 1, 2020

However, with today’s highly connected digital world, monitoring use cases expand to the services, processes, hosts, logs, networks, and of course end-users that access these applications – including your customers and employees. Websites, mobile apps, and business applications are typical use cases for monitoring. Performance monitoring.

Monitoring 132

Monitoring Performance Social Media Artificial Intelligence 132

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

All Things Distributed

DECEMBER 13, 2016

With the launch of the AWS Europe (London) Region, AWS can enable many more UK enterprise, public sector and startup customers to reduce IT costs, address data locality needs, and embark on rapid transformations in critical new areas, such as big data analysis and Internet of Things. Fraud.net is a good example of this.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

Rigor

JANUARY 13, 2020

Take, for example, The Web Almanac , the golden collection of Big Data combined with the collective intelligence from most of the authors listed below, brilliantly spearheaded by Google’s @rick_viscomi. High Performance Browser Networking. Designing for Performance. High Performance Responsive Design.

Performance 75

Performance Social Media Website Website Performance 75

The Morning Paper

JUNE 23, 2019

Why are developers using RInK systems as part of their design? Generally to cache data (including non-persistent data that never sees a backing store), to share non-persistent data across application services (e.g. A high CPU cost due to marshalling data to/from the RInK store formats to the application data format.

Cache 79

Cache Latency Google Lambda 79

Abhishek Tiwari

DECEMBER 27, 2017

In 2018, we will see new data integration patterns those rely either on a shared high-performance distributed storage interface ( Alluxio ) or a common data format ( Apache Arrow ) sitting between compute and storage. Based on data access pattern i.e. hot, warm and cold Alluxio makes. Machine learning meets data integration.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

The Morning Paper

SEPTEMBER 19, 2019

I don’t think so in this case, but this paper will take you down into the nitty-gritty of getting the best out of modern processors and networks, with up to two orders of magnitude single node throughput gains to be had. What if the network was no longer the bottleneck? Maybe we should be switching to active-memory replication ?

Blockchain 46

Blockchain Hardware Google Analytics 46

All Things Distributed

DECEMBER 20, 2017

The founders had noticed that in many companies, product designers worked in a very detached manner from the rest of production. In this way, designers are part of an ecosystem in which the functionalities of simulations, data and people come together, enabling them to develop better products faster. Value creation through data.

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79

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. With the launch of the Asia Pacific (Tokyo) Region, companies can now leverage the AWS suite of infrastructure web services directly connected to Japanese networks.

AWS 112

AWS Cloud Games Latency 112

O'Reilly

JANUARY 13, 2020

The biggest stories in Swift last year were the releases of SwiftUI , Apple’s newest framework for designing user interfaces across all Apple devices, and Swift for TensorFlow , a platform for deep learning and differentiable programming integrating Google’s TensorFlow framework with Swift. ” What lies ahead?

Programming 128

Programming Java Google C++ 128

ACM Sigarch

APRIL 8, 2019

big-data processing, machine learning, quantum computing, and so on). Networking sessions that create opportunities for students to interact with graduate students and established architects in academia and industry. Her current work focuses on hardware/software co-design for extremely large-scale deep learning training.

Architecture 74

Architecture Open Source Hardware Software Engineering 74

All Things Distributed

AUGUST 16, 2011

The Cloud First strategy is most visible with new Federal IT programs, which are all designed to be â??Cloud Government and Big Data. One particular early use case for AWS GovCloud (US) will be massive data processing and analytics. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications.

AWS 111

AWS Government Big Data Cloud 111

Testsigma

FEBRUARY 12, 2021

The implementation of emerging technologies has helped improve the process of software development, testing, design and deployment. The growing demand for IoT-testing is the government’s gradual acceptance of smart cities’ concept, which is why businesses are keen to incorporate IoT into their networks. from $12.6

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

All Things Distributed

JULY 7, 2011

AWS Import/Export transfers data off of storage devices using Amazons high-speed internal network and bypassing the Internet. With this new functionality AWS Import/Export now supports importing data directly into Amazon EBS snapshots. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications.

AWS 96

AWS Cloud Storage Internet 96

Rigor

SEPTEMBER 11, 2019

Vitaly specializes in front-end development, performance optimization, and responsive design, and he has made an epic contribution to the performance industry in addition to many other technology and design-related spaces. He was also the founder and president of Mobile Portland, where he started the first community device lab.

Performance 89

Performance Education Google Website 89

All Things Distributed

AUGUST 20, 2012

The service redundantly stores data in multiple facilities and on multiple devices within each facility, as Amazon Glacier is designed to provide average annual durability of 99.999999999% for each item stored. With Amazon Glacier any organization now has access to the same data archiving capabilities as the worldâ??s

Storage 122

Storage Cloud AWS Media 122

All Things Distributed

JULY 13, 2010

Cluster Computer Instances for Amazon EC2 are a new instance type specifically designed for High Performance Computing applications. During my academic career, I spent many years working on HPC technologies such as user-level networking interfaces, large scale high-speed interconnects, HPC software stacks, etc. Expanding the Cloud â??

Cloud 118

Cloud AWS Automotive Latency 118

All Things Distributed

DECEMBER 9, 2010

By supporting such large object sizes, Amazon S3 better enables a variety of interesting big data use cases. You can create parallel uploads to better utilize your available bandwidth and even stream data into Amazon S3 as its being created. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications.

AWS 80

AWS Big Data Scalability Storage 80

All Things Distributed

FEBRUARY 17, 2011

I have used a bucket policy to make all documents world readable, but you could create one that restricts it to referrers, network address range, time of day, etc. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Driving down the cost of Big-Data analytics. Expanding the Cloud â??

AWS 134

AWS Website Storage Servers 134

All Things Distributed

AUGUST 17, 2011

Amazon S3 is much more than just storage; the network and distributed systems infrastructure to ensure that content can be served fast and at high rates without customers impacting each other, is amazing. It is simple and elegant, as you would expect from someone who has won several design awards. Countdown to What is Next in AWS.

Servers 126

Servers Social Media AWS Website 126

Highly Scalable

MAY 1, 2012

Let us start with a simple example that illustrates capabilities of probabilistic data structures: Let us have a data set that is simply a heap of ten million random integer values and we know that it contains not more than one million distinct values (there are many duplicates). what is the cardinality of the data set)?

Analytics 191

Analytics Traffic Big Data Efficiency 191

All Things Distributed

DECEMBER 5, 2010

The naming system that we are all most familiar with in the internet is the Domain Name System (DNS) that manages the naming of the many different entities in our global network; its most common use is to map a name to an IP address, but it also provides facilities for aliases, finding mail servers, managing security keys, and much more.

Cloud 117

Cloud Internet Internet AWS 117

All Things Distributed

APRIL 27, 2011

We use high-performance transactions systems, complex rendering and object caching, workflow and queuing systems, business intelligence and data analytics, machine learning and pattern recognition, neural networks and probabilistic decision making, and a wide variety of other techniques. Driving down the cost of Big-Data analytics.

Technology 151

Technology Technology AWS Storage 151

Smashing Magazine

JULY 29, 2019

I hope to raise the profile of difficulties faced by real people, which are avoidable if we design and develop in a way that is sympathetic to their needs. Many of us are lucky enough to be on mobile plans which allow several gigabytes of data transfer per month. The speed of mobile networks, too, varies considerably between countries.

Cache 96

Cache Google Mobile Network 96

All Things Distributed

APRIL 19, 2010

Amazon Cloudfront is the Content Delivery Network (CDN) that is dead simple to use both from a technology and a business point of view. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Driving down the cost of Big-Data analytics. . | Permalink. Comments (). Expanding the Cloud â??

Media 60

Media AWS Storage Big Data 60

All Things Distributed

NOVEMBER 15, 2010

These trade-offs have even impacted the way the lowest level building blocks in our computer architectures have been designed. Some good insight into the work that is needed to convert certain algorithms to run efficiently on GPUs is the UCB/NVIDIA " Designing Efficient Sorting Algorithms for Manycore GPUs " paper.

AWS 136

AWS Latency Programming Architecture 136

All Things Distributed

MAY 18, 2010

It also needs to handle every possible failure of storage devices, of servers, networks and operating systems, all while continuing to serve hundreds of thousands of customers. The same goes for durability; core to the design of S3 is that we go to great lengths to never, ever lose a single bit. Relaxing Durability.

Storage 71

Storage Cloud AWS Scalability 71

All Things Distributed

JANUARY 19, 2011

a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Driving down the cost of Big-Data analytics. The public beta release of AWS Elastic Beanstalk supports a container for Java developers using the familiar Linux / Apache Tomcat application stack. Countdown to What is Next in AWS.

AWS 115

AWS Cloud Java Scalability 115

All Things Distributed

FEBRUARY 24, 2010

These new features will make it easier to transition those applications to SimpleDB that are designed with traditional database tools in mind. Amazon S3 and Amazon SimpleDB are examples of AWS services that are designed using these high-availability principles using an eventual consistency model. Revisiting the Consistency Challenges.

AWS 69

AWS Latency Database Scalability 69

ACM Sigarch

NOVEMBER 1, 2019

Alongside more traditional sessions such as Real-World Deployed Systems and Big Data Programming Frameworks, there were many papers focusing on emerging hardware architectures, including embedded multi-accelerator SoCs, in-network and in-storage computing, FPGAs, GPUs, and low-power devices. Heterogeneous ISA. Final words.

Architecture 12

Architecture Hardware Cache Storage 12

Percona

JANUARY 14, 2019

Public API as -a-service has become a good business model: examples include social networks like Facebook/Twitter, messaging as a service like Twilio, and even credit card authorization platforms like Marqeta. At the same time, it was not originally designed that way. So can we use it as our main datastore?

Database 40

Database Analytics Blockchain Healthcare 40

O'Reilly

SEPTEMBER 19, 2023

Each time, the underlying implementation changed a bit while still staying true to the larger phenomenon of “Analyzing Data for Fun and Profit.” ” They weren’t quite sure what this “data” substance was, but they’d convinced themselves that they had tons of it that they could monetize.

Hardware 97

Hardware Storage Big Data Blockchain 97