Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. This guide delves into how these systems work, the challenges they solve, and their essential role in businesses and technology.

Storage 130

Storage Systems Big Data Azure 130

ScaleOut Software

NOVEMBER 24, 2020

Real-Time Digital Twins Can Add Important New Capabilities to Telematics Systems and Eliminate Scalability Bottlenecks. Competitive pressures should spark innovation in this area, and real-time digital twins can help. However, telematics architectures face challenges in responding to telemetry in real time.

Analytics 52

Analytics Architecture Scalability Software Architecture 52

ScaleOut Software

APRIL 3, 2020

What’s missing is a flexible, fast, and easy-to-use software system that can be quickly adapted to track these assets in real time and provide immediate answers for logistics managers. Within seconds, the software performs aggregate analysis of this data for all real-time digital twins.

Logistics 52

Logistics Analytics Scalability Cloud 52

ScaleOut Software

APRIL 3, 2020

What’s missing is a flexible, fast, and easy-to-use software system that can be quickly adapted to track these assets in real time and provide immediate answers for logistics managers. Within seconds, the software performs aggregate analysis of this data for all real-time digital twins.

Logistics 52

Logistics Analytics Scalability Cloud 52

Dynatrace

OCTOBER 4, 2022

Log management and analytics is an essential part of any organization’s infrastructure, and it’s no secret the industry has suffered from a shortage of innovation for several years. Several pain points have made it difficult for organizations to manage their data efficiently and create actual value.

Analytics 227

Analytics Artificial Intelligence Storage Serverless 227

All Things Distributed

JUNE 29, 2011

Werner Vogels weblog on building scalable and robust distributed systems. Often we think about innovation as going after new unchartered territories, but it is also important to innovate in those existing dimensions that will remain important for customers. Driving down the cost of Big-Data analytics.

AWS 104

AWS Retail Innovation Strategy 104

All Things Distributed

DECEMBER 20, 2017

Marketers use big data and artificial intelligence to find out more about the future needs of their customers. Breuninger uses modern templates for software development, such as Self-Contained Systems (SCS), so that it can increase the speed of software development with agile and autonomous teams and quickly test new features.

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79

Scalegrid

MARCH 14, 2024

This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. Understanding Hybrid Cloud Strategy A hybrid cloud merges the capabilities of public and private clouds into a singular, coherent system. A hybrid cloud strategy could be your answer.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

All Things Distributed

JANUARY 19, 2011

Werner Vogels weblog on building scalable and robust distributed systems. Flexibility is one of the key principles of Amazon Web Services - developers can select any programming language and software package, any operating system, any middleware and any database to build systems and applications that meet their requirements.

AWS 115

AWS Cloud Java Scalability 115

All Things Distributed

APRIL 23, 2010

Werner Vogels weblog on building scalable and robust distributed systems. It will drive rapid innovation and well see a wealth of mobile, web and desktop applications arrive that we couldnt dream about a few years ago, and these building blocks are the enablers of that. Driving down the cost of Big-Data analytics.

AWS 60

AWS Storage Cloud Big Data 60

Dynatrace

JULY 5, 2022

AIOps combines big data and machine learning to automate key IT operations processes, including anomaly detection and identification, event correlation, and root-cause analysis. Increased business innovation. Such insights include whether the system can effectively collect, analyze, and report this data.

Artificial Intelligence 278

Artificial Intelligence Cloud Innovation Strategy 278

Dynatrace

OCTOBER 25, 2022

The need for developers and innovation is now even greater. Organizations would still need a skeletal staff that can focus on innovation and oversee exception-based operations. By greatly reducing the effort required by the operations side of the equation, teams have more time to innovate and optimize processes.

DevOps 210

DevOps Big Data Cloud Innovation 210

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. The four stages of data processing. This process continues until the system identifies a root cause.

DevOps 189

DevOps Artificial Intelligence Healthcare Innovation 189

Dynatrace

OCTOBER 14, 2021

Gartner defines AIOps as the combination of “big data and machine learning to automate IT operations processes, including event correlation, anomaly detection, and causality determination.” This contrasts stochastic AIOps approaches that use probability models to infer the state of systems. What is AIOps?

Artificial Intelligence 205

Artificial Intelligence DevOps Innovation Metrics 205

Dynatrace

AUGUST 10, 2021

Because here is a group of people who thrive on discovering new things, transforming workplaces, and innovating in the true sense of the word, every single day. Breakout Sessions on Scaling DevOps and SRE, Simplifying Kubernetes, Accelerating Cloud Native Innovation, and Delivering Perfect Experiences with Full Stack Observability.

DevOps 246

DevOps Innovation Big Data Cloud 246

The Netflix TechBlog

APRIL 29, 2019

Various software systems are needed to design, build, and operate this CDN infrastructure, and a significant number of them are written in Python. The configuration of these devices is controlled by several other systems including source of truth, application of configurations to devices, and back up.

Open Source 279

Open Source Network Infrastructure Big Data 279

All Things Distributed

DECEMBER 13, 2016

UK companies are using AWS to innovate across diverse industries, such as energy, manufacturing, medicaments, retail, media, and financial services and the UK is home to some of the world's most forward-thinking businesses. Take Peterborough City Council as an example.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

All Things Distributed

DECEMBER 13, 2009

Werner Vogels weblog on building scalable and robust distributed systems. Spot Instances are an innovation that is made possible by the unparalleled economies of scale created by the tremendous growth of the AWS Infrastructure Services. Spot instances are a great innovation that, as far as I know, has no equivalent in the IT industry.

Cloud 63

Cloud AWS Storage Innovation 63

All Things Distributed

APRIL 27, 2011

Werner Vogels weblog on building scalable and robust distributed systems. And while many of our systems are based on the latest in computer science research, this often hasnt been sufficient: our architects and engineers have had to advance research in directions that no academic had yet taken. All Things Distributed. Comments ().

Technology 151

Technology Technology AWS Storage 151

All Things Distributed

MARCH 28, 2011

Werner Vogels weblog on building scalable and robust distributed systems. What used to be only available in physical formats now often has digital equivalents and this digitalization is driving great new innovations. Driving down the cost of Big-Data analytics. All Things Distributed. Comments ().

AWS 138

AWS Cloud Storage Internet 138

Highly Scalable

MARCH 10, 2015

Although there are many books on data mining in general and its applications to marketing and customer relationship management in particular [BE11, AS14, PR13 etc.], The rest of the article is organized as follows: We first introduce a simple framework that ties together a retailer’s actions, profits and data. Applications.

Retail 152

Retail C++ Analytics Metrics 152

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. Which human activities can be taken over by machines or ML-based systems? The workplace of the future.

Artificial Intelligence 76

Artificial Intelligence Technology Technology IoT 76

All Things Distributed

NOVEMBER 15, 2010

Werner Vogels weblog on building scalable and robust distributed systems. Today Amazon Web Services takes another step on the continuous innovation path by announcing a new Amazon EC2 instance type: The Cluster GPU Instance. Because of its focus on latency, the generic CPU yielded rather inefficient system for graphics processing.

AWS 136

AWS Latency Programming Architecture 136

All Things Distributed

MAY 18, 2010

Werner Vogels weblog on building scalable and robust distributed systems. This new storage option enables customers to reduce their costs by storing non-critical, reproducible data at lower levels of redundancy. Under the covers Amazon S3 is a marvel of distributed systems technologies. All Things Distributed. Comments ().

Storage 71

Storage Cloud AWS Scalability 71

Dynatrace

APRIL 25, 2023

Having access to large data sets can be helpful, but only if organizations are able to leverage insights from the information. These analytics can help teams understand the stories hidden within the data and share valuable insights. “That is what exploratory analytics is for,” Schumacher explains. .

Analytics 193

Analytics Big Data Media Operating System 193

All Things Distributed

NOVEMBER 30, 2016

The power of Alexa in the hands of every developer, without having to know deep learning technologies like speech recognition, has the potential of sparking innovation in entirely new categories of products and services. Developers can now build powerful conversational interfaces quickly and easily, that operate at any scale, on any device.

AWS 165

AWS Lambda Artificial Intelligence Mobile 165

Testsigma

FEBRUARY 12, 2021

From AI to ML, the shifting technology world is constantly innovating and making significant progress. The Internet of Things is generally referred to as IoT which encompasses computers, cars, houses or some other technological system related. Many changes are rendered through automated testing. IoT Test Automation. billion in 2016.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92