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

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 285

Artificial Intelligence Cloud Innovation Strategy 285

The Netflix TechBlog

JUNE 1, 2021

His favorite TV shows: Bojack Horseman , Marco Polo , and The Witcher His favorite movies: Scarface, I Am Legend and The Old Guard Sam, what drew you to data engineering? Early in my career, I was headed full speed towards life as a clinical researcher. Furthermore, engineering velocity was often sacrificed owing to rigid processes.

Data Engineering 130

Data Engineering Engineering Big Data Healthcare 130

Dynatrace

MARCH 14, 2022

AIOps (or “AI for IT operations”) uses artificial intelligence so that big data can help IT teams work faster and more effectively. This has granted the speed and agility to accelerate innovation and bring new rewards to its members more frequently. Gartner introduced the concept of AIOps in 2016.

Healthcare 227

Healthcare Artificial Intelligence Innovation Strategy 227

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

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 huge advantage of this approach is speed. It works without having to identify training data, then training and honing.

Artificial Intelligence 212

Artificial Intelligence DevOps Innovation Metrics 212

O'Reilly

AUGUST 15, 2023

Few professional software developers will find it surprising that software development teams are respondents said that productivity is the biggest challenge their organization faced, and another 19% said that time to market and deployment speed are the biggest challenges. Is developer productivity an issue? Of course; it always is.

Development 73

Development Programming Speed Open Source 73

CSS - Tricks

OCTOBER 7, 2021

These components tackle the hardest interactivity problems in UI/UX, and do it with grace, speed, and accessibility in mind. Let’s take a look at their React Data Grid component. With the KendoReact Data Grid component, you can pass in a detail prop with an arbitrary React component to show when a row is expanded.

Big Data 59

Big Data C++ Virtualization Design 59

Rigor

SEPTEMBER 11, 2019

list of those who are making a significant impact on speeding up the web today. Developers representing hundreds of companies work together at these meetups to become masters in performance metrics and the latest trends in measuring site speed.) We at Rigor respect many web performance leaders around the world. Rachel Andrew.

Performance 89

Performance Education Google Website 89

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. Countdown to What is Next in AWS.

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 97

Cache Google Mobile Network 97

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

As with any sustainable engineering design, focusing on simplicity is very important. These characteristics allow for an on-call response time that is relaxed and more in line with traditional big data analytical pipelines. Spark could look up and retrieve the data in the s3 files that the Mouthful represented.

Network 150

Network Tuning AWS Big Data 150

The Netflix TechBlog

FEBRUARY 16, 2021

However, with our rapid product innovation speed, the whole approach experienced significant challenges: Business Complexity: The existing SKU management solution was designed years ago when the engagement rules were simple?—?three three plans and one offer homogeneously applied to all regions.

Mobile 209

Mobile Engineering Infrastructure Scalability 209

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. ATC ’19 was refreshingly different.

Architecture 12

Architecture Hardware Cache Storage 12

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 Netflix TechBlog

SEPTEMBER 10, 2019

This enables us to optimize their experience at speed. Instead of relying on engineers to productionize scientific contributions, we’ve made a strategic bet to build an architecture that enables data scientists to easily contribute. Getting Data with the Metrics Repo 2. Computing Statistics with Causal Models 3.

Metrics 215

Metrics Architecture Infrastructure Innovation 215

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.

Analytics 152

Analytics Availability Media Social Media 152