Kubernetes From The Inside Out
Kubernetes is famously known for having an opinionated architecture; most notably container orientation, networking idioms, and declarative orchestration. As Kubernetes development has progressed, an increasing number of features have been added to accommodate and integrate with the very unopinionated (or at least diversely opinionated) world that surrounds it. Back in late 2015 when I wrote
Migrating Pods With Containerized Applications Between Nodes In The Same Kubernetes Cluster Using Cloudify
Kubernetes is decidedly the DevOps tool of 2018 for those companies already deep in the cloud-native game. More and more we’re hearing about companies moving to a container- and Kubernetes-driven architecture. We definitely see the draw for utilizing Kubernetes in a larger role – we recently updated our Kubernetes plugin and unleashed a new Kubernetes Provider –
Introducing the Cloudify Kubernetes Multi-Cloud Provider
In my previous blog post about the Kubernetes Plugin for Cloudify, I broke down the reasoning behind the need to orchestrate Kubernetes – the main reason being the need to orchestrate across diverse workloads. It’s no easy feat to get multiple Kubernetes clusters on different public and private clouds to talk with each other in
Edge computing workloads: VMs, containers, or bare metal?
This article originally appeared in Enterprise IOT Insights on October 11, 2017. We live in an era of connected and smart devices. With their proliferation, the growth of data has mushroomed to new heights. This data reaches all the way from the end user to your cloud or on-site data center for processing, storage, and
Orchestrating A Kubernetes Managed Virtual Network Function With Cloudify
This post explores the process of containerizing Quagga and deploying it using Kubernetes.
Support for FCO in Cloudify
This article was originally published on the DICE blog. Matej and Tadej Borovšak work at XLAB. The article is being re-published with the consent of the authors. Cloudify is an important component of the DICE deployment tool. It enables that the users can describe their applications in a human-readable text format YAML, using a TOSCA
Cloudify 3.4 Has Dropped – Orchestrate All Clouds!
Team Cloudify is very excited to announce the Cloudify 3.4 GA release! This was definitely the most packed release of Cloudify ever and brings with it some major improvements, all of which culminates in support for hybrid environments, with any stack, and on any workload, and covering more than 90% of infrastructures and workloads
Scaling Kubernetes Microservices on OpenStack With TOSCA Orchestration Pt I of II
In a previous post, I converted a Fabric-based plugin implementation to an Openstack agent-based implementation. In this episode, I finally reached one of the key goals of this long running effort; to automate scaling on Kubernetes using Cloudify native means. The path to this goal leads through some of the more exotic parts of
Come Get Some Cloudify 3.3
Cloudify 3.3 has landed! We’re really excited about this new release because we have reached down deep to make Cloudify more ready than ever before for production. We are also seeing Cloudify’s usage taking off in use cases related to NFV, hybrid workloads, and containers and we wanted to fill you in on
Musings from the OpenStack Tokyo Summit
Well, folks, another OpenStack Summit is behind us. That means we will have to wait until 2016 for the next one, which is slated to take place in Austin, TX at the end of April. With an amazing turnout of more than 6,000 attendees from around the world, OpenStack Tokyo was a real