article thumbnail

Kubernetes in the wild report 2023

Dynatrace

Most Kubernetes clusters in the cloud (73%) are built on top of managed distributions from the hyperscalers like AWS Elastic Kubernetes Service (EKS), Azure Kubernetes Service (AKS), or Google Kubernetes Engine (GKE). In comparison, on-premises clusters have more and larger nodes: on average, 9 nodes with 32 to 64 GB of memory.

article thumbnail

Stuff The Internet Says On Scalability For February 8th, 2019

High Scalability

In comparison, the countries with prevalent zero rating practices from their wireless carriers consistently saw data prices increase. Retail investors have to put their money somewhere. Last time I checked, AWS was still lagging behind Azure and GCP on Kubernetes, but I have a strong feeling they're prioritizing improving EKS over ECS.

Internet 188
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Frustrating Design Patterns: Broken Filters

Smashing Magazine

Part 4: Perfect Feature Comparison. A good example of it is Rozetka.ua , an eCommerce retailer from Ukraine (see above). Whenever users can define a large range of values, be it pricing range in retail store, max duration of a train trip or a min/max coverage for an insurance plan, we probably will use some sort of a slider.

Design 142
article thumbnail

Cloud Adoption in 2020

O'Reilly

AWS is far and away the cloud leader, followed by Azure (at more than half of share) and Google Cloud. But most Azure and GCP users also use AWS; the reverse isn’t necessarily true. A comparison of respondent organization size and share of applications hosted in the cloud. Amazon and AWS Ascendant. Serverless Stagnant.

Cloud 141
article thumbnail

Bringing the Magic of Amazon AI and Alexa to Apps on AWS.

All Things Distributed

Last week, I wrote a blog about helping the machine learning scientist community select the right deep learning framework from among many we support on AWS such as MxNet, TensorFlow, Caffe, etc. Developers can build, test, and deploy chatbots directly from the AWS Management Console. Getting started with Rekognition is simple.

AWS 166