Dynatrace

JANUARY 16, 2023

Findings provide insights into Kubernetes practitioners’ infrastructure preferences and how they use advanced Kubernetes platform technologies. Kubernetes infrastructure models differ between cloud and on-premises. Accordingly, the remaining 27% of clusters are self-managed by the customer on cloud virtual machines.

Open Source 343

Open Source Java Operating System Programming 343

Dynatrace

JULY 13, 2020

Cloud: A utomation of infrastructure and services on-demand, pay as you use model . refers to cloud-based, containerized, distributed systems, made up of cooperating microservices, dynamically managed by automated infrastructure as code. . ? Cloud Native DevOps with Kubernetes : . Cloud-native? What’s missing here?

Google 132

Google Ecommerce DevOps Cloud 132

Dynatrace

JULY 13, 2020

Cloud: A utomation of infrastructure and services on-demand, pay as you use model . refers to cloud-based, containerized, distributed systems, made up of cooperating microservices, dynamically managed by automated infrastructure as code. . ? Cloud Native DevOps with Kubernetes : . Cloud-native? What’s missing here?

Google 130

Google Ecommerce DevOps Cloud 130

O'Reilly

MAY 19, 2020

O’Reilly Learning > We wanted to discover what our readers were doing with cloud, microservices, and other critical infrastructure and operations technologies. AWS is far and away the cloud leader, followed by Azure (at more than half of share) and Google Cloud. All told, we received 1,283 responses. .

Cloud 141

Cloud Serverless AWS Architecture 141

ScaleOut Software

AUGUST 19, 2014

Cloud-based applications enjoy the unique elasticity that cloud infrastructures provide. As more computing resources are needed to handle a growing workload, virtual servers (also called cloud “ instances ”) can be added to take up the slack. For example, consider a web server farm handling requests for web users or mobile apps.

Cloud 40

Cloud Azure Virtualization Scalability 40

ScaleOut Software

AUGUST 19, 2014

Cloud-based applications enjoy the unique elasticity that cloud infrastructures provide. As more computing resources are needed to handle a growing workload, virtual servers (also called cloud “ instances ”) can be added to take up the slack. For example, consider a web server farm handling requests for web users or mobile apps.

Cloud 40

Cloud Azure Virtualization Scalability 40