Dynatrace

JANUARY 16, 2023

Modern, cloud-native computing is impossible to separate from containers and Kubernetes adoption. As Kubernetes adoption increases and it continues to advance technologically, Kubernetes has emerged as the “operating system” of the cloud. Kubernetes moved to the cloud in 2022. Kubernetes moved to the cloud in 2022.

Open Source 337

Open Source Java Operating System Programming 337

Abhishek Tiwari

DECEMBER 22, 2017

Cheap storage and on-demand compute in the cloud coupled with the emergence of new big data frameworks and tools are forcing us to rethink the whole ETL and data warehousing architecture. You can also use cloud and SaaS services such as Google BigQuery, Amazon Redshift Spectrum, Amazon Athena, Qubole to implement ELT approach.

Big Data 40

Big Data Retail Storage Google 40

Dynatrace

JULY 13, 2020

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

Google 132

Google Ecommerce DevOps Cloud 132

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. Without further ado, here are the key results: • At first glance, cloud usage seems overwhelming. More than half of respondents use multiple cloud services. •

Cloud 141

Cloud Serverless AWS Architecture 141

Dynatrace

JULY 13, 2020

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

Google 130

Google Ecommerce DevOps Cloud 130

KeyCDN

MARCH 14, 2019

Serverless frameworks like Nuclio let you utilize cloud technology to reduce your workload, improve scaling and save money on unused resources. Major cloud providers like AWS, Microsoft Azure, and Google Cloud all support serverless services. Google and Microsoft both plan to invest large sums in VR and AR in 2019.

Development 101

Development Blockchain Serverless Social Media 101