DZone

JUNE 3, 2019

Using local SSDs inside of the GPU node delivers fast access to data during training, but introduces challenges that impact the overall solution in terms of scalability, data access, and data protection.

Storage 100

Storage Performance Network Scalability 100

VoltDB

MARCH 13, 2024

In the age of big-data-turned-massive-data, maintaining high availability , aka ultra-reliability, aka ‘uptime’, has become “paramount”, to use a ChatGPT word. The Log4J vulnerability is a classic example of an apparently harmless component suddenly becoming problematic.

Availability 52

Availability Latency DevOps Systems 52

All Things Distributed

JANUARY 6, 2016

For example, Samsung Electronic Printing used AWS to deploy its Printing Apps Center in a way that didn’t require them to invest up-front capital and kept total costs quite low. We’ve also been hearing many requests from Korean companies, including large enterprises like Samsung and Mirae Asset.

AWS 108

AWS Cloud Games Latency 108

All Things Distributed

SEPTEMBER 5, 2013

Over the past few years, two important trends that have been disrupting the database industry are mobile applications and big data. The explosive growth in mobile devices and mobile apps is generating a huge amount of data, which has fueled the demand for big data services and for high scale databases.

Big Data 92

Big Data Mobile Latency Database 92

All Things Distributed

JUNE 26, 2016

Here are the benefits of a comprehensive platform, with customer examples: A connected platform to sense the business environment. Examples of continuous sensing are found in the managed cloud platform built by Rachio on AWS IoT to enable the secure interaction of its connected devices with cloud applications/other devices.

AWS 86

AWS Cloud Healthcare Blockchain 86

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. Progressive Web App Dev by Example. ” – Andy King, 2003.

Performance 75

Performance Social Media Website Website Performance 75

All Things Distributed

DECEMBER 20, 2017

In today's era of global digitalization there are many examples that show that IT does matter. 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. More than mere support.

Artificial Intelligence 76

Artificial Intelligence Social Media Logistics AWS 76

ScaleOut Software

NOVEMBER 24, 2020

It sends messages over the cell network to the telematics system, which uses its compute servers (that is, web and application servers) to store incoming messages as snapshots in an in-memory data grid , also known as a distributed cache. The results of batch analysis are typically produced after an hour’s delay or more.

Analytics 52

Analytics Architecture Scalability Software Architecture 52

Dynatrace

MAY 1, 2023

IT operations analytics is the process of unifying, storing, and contextually analyzing operational data to understand the health of applications, infrastructure, and environments and streamline everyday operations. ITOA collects operational data to identify patterns and anomalies for faster incident management and near-real-time insights.

Analytics 212

Analytics Artificial Intelligence Big Data Open Source 212

All Things Distributed

DECEMBER 8, 2016

Some examples of how current customers use AWS are: Cost-effective solutions. It adopted Amazon Redshift, Amazon EMR and AWS Lambda to power its data warehouse, big data, and data science applications, supporting the development of product features at a fraction of the cost of competing solutions.

AWS 150

AWS Cloud Lambda Innovation 150

Scalegrid

FEBRUARY 8, 2024

Handling Large Volumes of Data Distributed storage systems employ the technique of data sharding or partitioning to handle immense quantities of information. By breaking up large datasets into more manageable pieces, each segment can be assigned to various network nodes for storage and management purposes.

Storage 130

Storage Systems Big Data Azure 130

All Things Distributed

SEPTEMBER 6, 2013

Europe is a continent with much diversity and for each country there are great AWS customer examples to tell. Here are some great examples from different industries each with unique use cases. Shell leverages AWS for big data analytics to help achieve these goals.

Cloud 123

Cloud Energy AWS Healthcare 123

All Things Distributed

SEPTEMBER 26, 2014

Topics include Introduction to AWS, Big Data, Compute & Networking, Architecture, Mobile & Gaming, Databases, Operations, Security, and more. For example, join us next week in the Loft for this special event: The Future of IT: Startups at the NASA Jet Propulsion Laboratory. AWS Technical Bootcamps.

AWS 108

AWS Games Education Innovation 108

All Things Distributed

AUGUST 16, 2011

For example a number of our European customers are subject to data residency requirements when it comes to PII data and they use the EU Region to meet to those requirements. Government and Big Data. One particular early use case for AWS GovCloud (US) will be massive data processing and analytics.

AWS 107

AWS Government Big Data Cloud 107

O'Reilly

JANUARY 13, 2020

Full in-language differentiable programming will make a whole collection of previously impossible things possible: the best example is being able to use a standard programming debugger to step through backpropagation and debug derivatives when you’re building a neural network. ” What lies ahead?

Programming 133

Programming Java Google C++ 133

Dynatrace

JANUARY 11, 2023

As cloud and big data complexity scales beyond the ability of traditional monitoring tools to handle, next-generation cloud monitoring and observability are becoming necessities for IT teams. With agent monitoring, third-party software collects data and reports from the component that’s attached to the agent.

Cloud 244

Cloud Monitoring Best Practices Infrastructure 244

All Things Distributed

AUGUST 20, 2012

This is apparent in the Media industry where film re-edits, for example, are no longer just about revisiting the original 35mm or 65 mm film but rather all the digital content captured by the 2K or 4K cameras that were used during filming. s largest organizations. A Complete Storage Solution. provides dedicated bandwidth between customersâ??

Storage 121

Storage Cloud AWS Media 121

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. The network devices that underlie a large portion of the CDN are mostly managed by Python applications. If any of this interests you, check out the jobs site or find us at PyCon. are you logged in?

Open Source 280

Open Source Network Infrastructure Big Data 280

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. Although there are some good examples that come with Cactus is still early days and there is not much of a community using it.

Servers 123

Servers Social Media AWS Website 123

All Things Distributed

JULY 13, 2010

Customers with complex computational workloads such as tightly coupled, parallel processes, or with applications that are very sensitive to network performance, can now achieve the same high compute and networking performance provided by custom-built infrastructure while benefiting from the elasticity, flexibility and cost advantages of Amazon EC2.

Cloud 114

Cloud AWS Automotive Latency 114

All Things Distributed

DECEMBER 5, 2010

A simple example is the situation with Persons and Telephones; a person has a name, a person can have one or more telephones and each phone can have one or more telephone numbers. Route 53 provides Authoritative DNS functionality implemented using a world-wide network of highly-available DNS servers. No lock-in.

Cloud 116

Cloud Internet Internet AWS 116

Dynatrace

OCTOBER 17, 2022

Artificial intelligence for IT operations, or AIOps, combines big data and machine learning to provide actionable insight for IT teams to shape and automate their operational strategy. Let’s say, for example, an application is experiencing a slowdown in receiving its search requests. Deterministic AI.

DevOps 220

DevOps Artificial Intelligence Healthcare Innovation 220

Dynatrace

SEPTEMBER 9, 2019

I love data. I have spent virtually my entire career looking at data. Synthetic data, network data, system data, and the list goes on. As much as I love data, data is cold, it lacks emotion. As much as I love data, data is cold, it lacks emotion. Dynatrace news.

Big Data 158

Big Data Metrics Virtualization Monitoring 158

Dynatrace

OCTOBER 4, 2022

Modern IT environments — whether multicloud, on-premises, or hybrid-cloud architectures — generate exponentially increasing data volumes. The number and variety of applications, network devices, serverless functions, and ephemeral containers grows continuously. And this expansion shows no sign of slowing down.

Analytics 254

Analytics Artificial Intelligence Storage Serverless 254

All Things Distributed

DECEMBER 13, 2016

Take Peterborough City Council as an example. The council has deployed IoT Weather Stations in Schools across the City and is using the sensor information collated in a Data Lake to gain insights on whether the weather or pollution plays a part in learning outcomes. Fraud.net is a good example of this.

AWS 165

AWS Cloud Artificial Intelligence IoT 165

Dynatrace

JUNE 29, 2022

For example, workflows from both public and private cloud resources can support an application. A hybrid cloud, however, combines public infrastructure and services with on-premises resources or a private data center to create a flexible, interconnected IT environment. Hybrid cloud architecture vs. multicloud architecture.

Infrastructure 206

Infrastructure Cloud Azure AWS 206

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 102

Hardware Storage Big Data Blockchain 102

The Netflix TechBlog

DECEMBER 21, 2020

Design Principles For AutoOptimize to efficiently optimize the data layout, we’ve made the following choices: Just in time vs. periodic optimization Only optimize a given data set when required (based on what changed) instead of blind periodic runs. AutoOptimize reduces end to end lag in data processing by optimizing as we go.

Storage 212

Storage Latency Efficiency Data Engineering 212

The Morning Paper

JUNE 23, 2019

We’ve seen similar high marshalling overheads in big data systems too.) Fetching too much data in a single query (i.e., If you decompose data across multiple keys to avoid this, you then typically run into cross-key atomicity issues. Over and above RTT times, the size of the data to be transferred also matters.

Cache 79

Cache Latency Google Lambda 79

Abhishek Tiwari

DECEMBER 27, 2017

More importantly, UDM utilizes a single storage backend with benefits of multiple storage systems which avoids moving data across systems hence data duplication, and data consistency issues. Databricks Delta is a perfect example of this class. A solution like Delta makes ETL unnecessary for the data warehousing.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

Highly Scalable

MAY 1, 2012

On the other hand, when one is interested only in simple additive metrics like total page views or average price of conversion, it is obvious that raw data can be efficiently summarized, for example, on a daily basis or using simple in-stream counters. what is the cardinality of the data set)?

Analytics 191

Analytics Traffic Big Data Efficiency 191

Highly Scalable

JANUARY 31, 2012

The most typical example is building of inverted indexes. In other words, it can be more efficient to sort data once during insertion than sort them for each MapReduce query. Applications: ETL, Data Analysis. Problem Statement: There is a network of entities and relationships between them.

C++ 144

C++ Network Ecommerce Processing 144

Smashing Magazine

JULY 29, 2019

Many of us are lucky enough to be on mobile plans which allow several gigabytes of data transfer per month. Failing that, we are usually able to connect to home or public WiFi networks that are on fast broadband connections and have effectively unlimited data. As for mobile network connection type, 84.7% Mbps upload.

Cache 97

Cache Google Mobile Network 97

All Things Distributed

MAY 21, 2018

We already have an idea of how digitalization, and above all new technologies like machine learning, big-data analytics or IoT, will change companies' business models — and are already changing them on a wide scale. These new offerings are organized on platforms or networks, and less so in processes.

Artificial Intelligence 73

Artificial Intelligence Technology Technology IoT 73

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 147

Technology Technology AWS Storage 147

Smashing Magazine

AUGUST 9, 2021

But there’s that inner personal actual relationship required in the terms of safety that I’m talking about, as opposed to, yeah, someone anonymous on the internet or some anonymous entity trying to get your data, things like that. They’re actually mostly … Some of them I can answer. There’s no alert. Similar with Find My.

Design 100

Design Education Network Google 100

All Things Distributed

FEBRUARY 17, 2011

This enables Amazon S3 to know what document to serve if one isnt explicitly requested: for example [link]. 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. Driving down the cost of Big-Data analytics.

AWS 131

AWS Website Storage Servers 131