Creating cloud-native applications requires a different way of working, and combining Spinnaker and Istio help create a service mesh that enables manageable microservices environment.
A proof of concept is a crucial part of any cloud project, and it shouldn’t be slapped together just to tick off a checkbox.
With edge, we have closed vendor solutions and open reference architectures, but nothing for VNF and software vendors to build on top of. Changing that is the first step towards virtualized edge.
Kubernetes 1.12 is scheduled for release in the next week or so, so we wanted to take a minute to look at some of the new features and changes you can expect.
In this article we’ll look at how to configure Spinnaker for a Prometheus-based canary deployment using Kayenta.
Today we released the newest version of Mirantis Cloud Platform. Let me tell you why we think MCP is great.
Earlier this year we gave you an easy way to deploy Spinnaker to Kubernetes. Now we’re giving you two ways that are even easier.
A reliable guide to deploying Spinnaker, including the magic steps it seems nobody ever talks about.
There’s a lot involved in making sure a VNF will work in your cloud, and we discussed a lot of it, including the obscurities.
Last week we presented a webinar talking about the new features in the new release of Kubernetes 1.11.
Whether you use Kubevirt or Virtlet for your VM-as-a-container needs is going to depend on your individual situation, as these two tools are very, very different.
Generic VNF “certification” programs sound great and are terrific for marketing. Unfortunately they don’t add value for customers.
We’ve added improvements to all three tiers of MCP, the DriveTrain CD layer, the cloud platform itself, which includes Kubernetes and OpenStack Pike, and the StackLight monitoring layer.
Virtlet makes it possible to run VMs on Kubernetes clusters as if they were plain pods, enabling you to use standard kubectl commands to manage them.
Managing a datacenter and software development is a mass of complications. One way of mitigating problems is to use machine learning and AI techniques to help with management, and optimization.