ScaleOut Software

APRIL 3, 2020

For example, the parameters for a ventilator could include its identifier, make and model, current location, status (in use, in storage, broken), time in use, technical issues and repairs, and contact information. Field personnel with mobile devices can send these messages over the Internet to the cloud service.

Logistics 52

Logistics Analytics Scalability Cloud 52

Highly Scalable

AUGUST 20, 2013

At Grid Dynamics, we recently faced a necessity to build an in-stream data processing system that aimed to crunch about 8 billion events daily providing fault-tolerance and strict transactioanlity i.e. none of these events can be lost or duplicated. The signature is initially initialized by the event ID. Lineage Tracking.

Big Data 154

Big Data Processing Lambda Database 154

Smashing Magazine

JANUARY 15, 2019

You may not think about it often, but the Internet uses a colossal amount of electricity. This, in turn, means that the Internet’s carbon footprint has grown to the point where it may have eclipsed global air travel , and this makes the Internet the largest coal-fired machine on Earth. These include data transfer (i.e.

Website Performance 73

Website Performance Website Energy Performance 73

All Things Distributed

JULY 3, 2011

Next to customer visits I will take part in a number of events organized by AWS and by our partners. This week in Japan there are three public events planned: July 4 - AWS HPC Night at Fuji Soft Hall in Akihabara. Next weekend I will travel to Australia where we will have two " Navigating the Cloud with AWS" Events. or rss feed.

AWS 67

AWS Storage Big Data Cloud 67

All Things Distributed

SEPTEMBER 30, 2010

The AWS Events team is organizing a number of events where I will present together with a number of AWS customers: AWS Cloud Computing Event in Berlin on October 7 with AWS customers moviepilot , Cellular , Schnee von morgen and Plinga. In India there will be 3 AWS Cloud Computing events. Subscribe to this weblogs.

AWS 75

AWS Storage Cloud Best Practices 75

Scalegrid

MAY 13, 2020

Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes. What Exactly is Greenplum? At a glance – TLDR.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

SEPTEMBER 7, 2022

By default, each record captures a network internet protocol (IP), a destination, and the source of the traffic flow that occurs within your environment. With Amazon Web Services, the main sources from which to ingest logs—Simple Storage Service, or S3, and CloudWatch —come with an additional cost. Learn more about VPC Flow Logs.

Traffic 212

Traffic AWS Network Cloud 212

Highly Scalable

MAY 1, 2012

Statistical analysis and mining of huge multi-terabyte data sets is a common task nowadays, especially in the areas like web analytics and Internet advertising. This approach often leads to heavyweight high-latency analytical processes and poor applicability to realtime use cases. Case Study.

Analytics 191

Analytics Traffic Big Data Efficiency 191

Smashing Magazine

NOVEMBER 2, 2021

On the contrary, a native application of an e-commerce store can come at 30, 50, or even 100 MB and up, consuming internal device storage. To specify, users can continue using those parts of the site that were cached if the Internet connection is unstable or when offline. Image credit: Apivita. Large preview ).

Code 74

Code Cache Retail Mobile 74

All Things Distributed

DECEMBER 13, 2016

With the launch of the AWS Europe (London) Region, AWS can enable many more UK enterprise, public sector and startup customers to reduce IT costs, address data locality needs, and embark on rapid transformations in critical new areas, such as big data analysis and Internet of Things. Fraud.net is a good example of this.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

Smashing Magazine

MAY 17, 2021

Our fast computers and fiber internet masked the experience real people have on our site. Internet Explorer 6 was fully supported, Firefox was gaining share, and Chrome was still years from launch. CLS , or Cumulative Layout Shift, tracks how elements move or shift on the page absent of actions like a keyboard or click event.

Google 93

Google Analytics Serverless Metrics 93

All Things Distributed

OCTOBER 12, 2016

Since then we’ve introduced Amazon Kinesis for real-time streaming data, AWS Lambda for serverless processing, Apache Spark analytics on EMR, and Amazon QuickSight for high performance Business Intelligence. Team Internet AG is an ad tech company with a focus on domain monetization and real-time bidding. “In Building upon Redis.

Scalability 130

Scalability Analytics Cache AWS 130

Smashing Magazine

JANUARY 11, 2021

This guide has been kindly supported by our friends at LogRocket , a service that combines frontend performance monitoring , session replay, and product analytics to help you build better customer experiences. Study common complaints coming into customer service and sales team, study analytics for high bounce rates and conversion drops.

Performance 145

Performance Cache Media Metrics 145

Smashing Magazine

JANUARY 6, 2020

Study common complaints coming into customer service and sales team, study analytics for high bounce rates and conversion drops. Run performance experiments and measure outcomes — both on mobile and on desktop (for example, with Google Analytics ). Explore how improving performance can help relieve some of these common problems.

Performance 145

Performance Cache Network Metrics 145

Smashing Magazine

JANUARY 7, 2019

To get accurate results and goals though, first study your analytics to see what your users are on. Custom metrics measure a particular, custom event for the user, e.g. Twitter’s Time To First Tweet and Pinterest’s PinnerWaitTime. You can then mimic the 90th percentile’s experience for testing. Need a quick win?

Performance 103

Performance Cache Metrics Network 103