Dynatrace

JULY 5, 2022

As organizations look to speed their digital transformation efforts, automating time-consuming, manual tasks is critical for IT teams. AIOps combines big data and machine learning to automate key IT operations processes, including anomaly detection and identification, event correlation, and root-cause analysis. Dynatrace news.

Artificial Intelligence 282

Artificial Intelligence Cloud Innovation Strategy 282

Scalegrid

MARCH 14, 2024

It provides significant advantages that include: Offering scalability to support business expansion Speeding up the execution of business plans Stimulating innovation throughout the company Boosting organizational flexibility, enabling quick adaptation to changing market conditions and competitive pressures.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

AUGUST 10, 2021

Carrie called out how at Dynatrace we know it takes a village to achieve the extraordinary, from innovating reliable digital services at speed to learning how to adapt and thrive while managing our increasingly complex, dynamic technology environments. Investing in data is easy but using it is really hard”. She wasn’t wrong.

DevOps 246

DevOps Innovation Big Data Cloud 246

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. Designing for Performance. High Performance Responsive Design. Site speed & SEO go hand in hand.

Performance 75

Performance Social Media Website Website Performance 75

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.” A comprehensive, modern approach to AIOps is a unified platform that encompasses observability, AI, and analytics.

Artificial Intelligence 208

Artificial Intelligence DevOps Innovation Metrics 208

The Morning Paper

SEPTEMBER 19, 2019

Hyper Dimension Shuffle describes how Microsoft improved the cost of data shuffling, one of the most costly operations, in their petabyte-scale internal big data analytics platform, SCOPE. Some cool algorithms: Pigeonring speeds up thresholded similarity searches. What if the network was no longer the bottleneck?

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.

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. 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 112

AWS Cloud Games Latency 112

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

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

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. The speed of mobile networks, too, varies considerably between countries. South Korea has the fastest mobile download speed , averaging 52.4 per GB respectively. Mbps upload.

Cache 96

Cache Google Mobile Network 96

The Netflix TechBlog

NOVEMBER 20, 2023

For example, a job would reprocess aggregates for the past 3 days because it assumes that there would be late arriving data, but data prior to 3 days isn’t worth the cost of reprocessing. Backfill: Backfilling datasets is a common operation in big data processing. ETL pipelines keep all the benefits of batch workflows.

Processing 210

Processing Big Data Efficiency Engineering 210

The Netflix TechBlog

MAY 26, 2020

Cloud Network Insight is a suite of solutions that provides both operational and analytical insight into the Cloud Network Infrastructure to address the identified problems. As with any sustainable engineering design, focusing on simplicity is very important. And excellent logging is needed for debugging purposes and supportability.

Network 150

Network Tuning AWS Big Data 150

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

All Things Distributed

NOVEMBER 15, 2016

To scale to a larger number of users and support the growth in data volume spurred by social media, web, mobile, IoT, ad-tech, and ecommerce workloads, these tools require customers to invest in even more infrastructure to maintain performance. Enter Amazon QuickSight. While QuickSight supports multiple graph types (e.g.,

Analytics 152

Analytics Availability Media Social Media 152