Cloudify Momentum Accelerates, Exceeding Second Quarter Projections
In this post, CTO Nati Shalom gives insight into the big wins Cloudify has had in Edge Computing, NFV, and Hybrid Cloud orchestration in the first half of 2017.
Building Large-Scale Services with Micro-Services and TOSCA
In this article, Nati Shalom details how microservices can be used in a model-driven manner, with TOSCA, to create and manage larger services at scale.
Cloudify 4.1 has dropped! Here’s what’s new…
Read this post to learn more about Cloudify 4.1 and what we’re doing to make cloud orchestration and management even better.
A DevOps Concerto in Paris with Alien4Cloud and Cloudify
In this poetic post, Jonathan gives us an overview of the Atos DevOps event with Societe Generale, Alien4Cloud, and Cloudify that took place in Paris in June.
Quickly and easily deploy a Spark cluster with Cloudify and DICE
Follow this simple tutorial, by XLab’s Matej Artač, to deploy a Spark cluster using Cloudify and the DICE Deployment Service.
Bootstrapping Cloudify 4 on OpenStack, AWS, Azure, and more – A Simple Step by Step Tutorial
In this tutorial, we walk users through setting up an AWS or OpenStack environment and bootstrapping and configuring Cloudify Manager.
The End of Cloud Management As We Know It – Part 2
In part 2 of this series, Nati Shalom explains what is needed, and what it means, to deliver a next-generation Cloud Management Platform (CMP).
Installing Cloudify 4 on AWS and OpenStack – A Simple Step by Step Tutorial
In this tutorial, we walk users through setting up an AWS or OpenStack environment and installing and configuring Cloudify in a simple step by step manner.
OpenStack Day Israel 2017 is Back! NFV, Containers, and Scale… oh my
OpenStack Day Israel is here once again with a great group of OpenStack experts and diversity of talks.
The TOSCA Times Pt 3 – Model-Driven Workflows with TOSCA, Cloudify, and ARIA
In this third installment of The TOSCA Times, Michael details how Cloudify and ARIA take the model-driven approach and how TOSCA then adopted declarative, model-driven workflows.