Dynatrace

JULY 6, 2022

AIOps brings an additional level of analysis to observability, as well as the ability to respond to events that warrant it. This requires significant data engineering efforts, as well as work to build machine-learning models. Big data automation tools. IT automation, DevOps, and DevSecOps go together.

Artificial Intelligence 194

Artificial Intelligence Tuning Strategy Big Data 194

Dynatrace

APRIL 11, 2023

Cloud application security remains challenging because organizations lack end-to-end visibility into cloud architecture. As organizations migrate applications to the cloud, they must balance the agility that microservices architecture brings with the complexity and lack of transparency that can also come with it. Learn more.

Cloud 192

Cloud DevOps Open Source Retail 192

Dynatrace

JUNE 29, 2022

More than 90% of enterprises now rely on a hybrid cloud infrastructure to deliver innovative digital services and capture new markets. To drive better outcomes using hybrid cloud architectures, it helps to understand their benefits—and how to orchestrate them seamlessly. What is hybrid cloud architecture?

Infrastructure 187

Infrastructure Cloud Azure AWS 187

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. Hybrid cloud combines an on-premises or private data center with public cloud infrastructure. What is cloud monitoring?

Cloud 227

Cloud Monitoring Best Practices Infrastructure 227

Dynatrace

APRIL 25, 2023

Exploratory analytics with collaborative analytics capabilities can be a lifeline for CloudOps, ITOps, site reliability engineering, and other teams struggling to access, analyze, and conquer the never-ending deluge of big data. These analytics can help teams understand the stories hidden within the data and share valuable insights.

Analytics 206

Analytics Big Data Media Operating System 206

The Netflix TechBlog

MARCH 25, 2019

In the rest of this blog, we will a) touch on the complexity of Netflix cloud landscape, b) discuss lineage design goals, ingestion architecture and the corresponding data model, c) share the challenges we faced and the learnings we picked up along the way, and d) close it out with “what’s next” on this journey.

Infrastructure 219

Infrastructure Big Data Transportation Architecture 219

All Things Distributed

NOVEMBER 15, 2016

The reality is that many traditional BI solutions are built on top of legacy desktop and on-premises architectures that are decades old. The cost and complexity to implement, scale, and use BI makes it difficult for most companies to make data analysis ubiquitous across their organizations. Powered by Innovation.

Analytics 152

Analytics Availability Media Social Media 152

All Things Distributed

JUNE 26, 2016

Market innovators and change agents need a comprehensive infrastructure platform that can reliably scale on-demand. Advanced problem solving that connects big data with machine learning. At-scale computing and visual analysis. Let’s build groundbreaking innovations together. The platform to revolutionize.

AWS 90

AWS Cloud Healthcare Blockchain 90

ScaleOut Software

NOVEMBER 24, 2020

However, telematics architectures face challenges in responding to telemetry in real time. Competitive pressures should spark innovation in this area, and real-time digital twins can help. Current Telematics Architecture. The results of batch analysis are typically produced after an hour’s delay or more.

Analytics 52

Analytics Architecture Scalability Software Architecture 52

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. Information Architecture. High Performance Browser Networking. Time is Money. Web Performance Daybook-Volume-2.

Performance 75

Performance Social Media Website Website Performance 75

ScaleOut Software

JUNE 15, 2020

Instead, most applications just sift through the telemetry for patterns that might indicate exceptional conditions and forward the bulk of incoming messages to a data lake for offline scrubbing with a big data tool such as Spark. Maintain State Information for Each Data Source. The list goes on.

Analytics 52

Analytics IoT Lambda Big Data 52

ScaleOut Software

JUNE 15, 2020

Instead, most applications just sift through the telemetry for patterns that might indicate exceptional conditions and forward the bulk of incoming messages to a data lake for offline scrubbing with a big data tool such as Spark. Maintain State Information for Each Data Source. The list goes on.

Analytics 52

Analytics IoT Lambda Big Data 52

O'Reilly

OCTOBER 21, 2019

He designed this new platform to be permission-less and free, an open space for creativity, innovation, and free expression that transcended geographic and cultural boundaries. It’s changed the architecture of our expectations—of what we expect a friend, colleague, or a business to be able to do.

Blockchain 52

Blockchain Social Media Innovation Internet 52

ScaleOut Software

APRIL 3, 2020

An innovative new software approach called “real-time digital twins” running on a cloud-hosted, highly scalable, in-memory computing platform can help address this challenge. These questions can be answered using the latest data as it streams in from the field. What are real-time digital twins and why are they useful here?

Logistics 52

Logistics Analytics Scalability Cloud 52

ScaleOut Software

APRIL 3, 2020

An innovative new software approach called “real-time digital twins” running on a cloud-hosted, highly scalable, in-memory computing platform can help address this challenge. These questions can be answered using the latest data as it streams in from the field. What are real-time digital twins and why are they useful here?

Logistics 52

Logistics Analytics Scalability Cloud 52

All Things Distributed

DECEMBER 20, 2017

By knowing this, Kärcher can generate new top-line revenue in the form of subscription models for its analysis portal. Marketers use big data and artificial intelligence to find out more about the future needs of their customers. More than mere support.

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79

All Things Distributed

NOVEMBER 15, 2010

Today Amazon Web Services takes another step on the continuous innovation path by announcing a new Amazon EC2 instance type: The Cluster GPU Instance. 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. Comments ().

AWS 136

AWS Latency Programming Architecture 136

ACM Sigarch

NOVEMBER 1, 2019

This blog post gives a glimpse of the computer systems research papers presented at the USENIX Annual Technical Conference (ATC) 2019, with an emphasis on systems that use new hardware architectures. As a consequence, the vast majority of the papers in the past has usually focused on conventional X86 or GPU-accelerated architectures.

Architecture 12

Architecture Hardware Cache Storage 12

Highly Scalable

MARCH 10, 2015

Retail is one of the most important business domains for data science and data mining applications because of its prolific data and numerous optimization problems such as optimal prices, discounts, recommendations, and stock levels that can be solved using data analysis methods. In that case, the equation (1.2)

Retail 152

Retail C++ Analytics Metrics 152