The next OpenStack summit will be held in Boston May 8 through May 11, 2017, and the agenda is in progress.
You may already have looked at Puppet, Chef or Ansible but today we focus on SaltStack. Simplicity is at its core, without any compromise on speed or scalability.
Availability zones are one of the most frequently misunderstood and misused constructs in OpenStack.
As we’ve evolved, we’ve renewed focus on managed services and embraced Kubernetes to help us deliver those services continuously. We felt the time was right for our evolution to extend to our logo.
Last week we presented an introduction to Salt and how it relates to OpenStack, K8s, and bare metal. Here are the answers to the Q&A, including those we ran out of time for.
Wind River and Mirantis recently completed a joint Proof of Concept interoperability project at Wind River’s Network Functions Virtualization (NFV) lab in Santa Clara, California.
An introduction to YAML and how to use it to create Kubernetes Pods and Deployments.
There are a lot of possible approaches to RabbitMQ clustering on top of Kubernetes. Most pitfalls are common for all of them.
We’ve had distributed systems for decades. So why is it up to the developer to build “cloud native” applications?
Managing thousands containers can be challenging, but if you want to know how Kubernetes will behave at scale we might be able to provide an answer. At KubeCon in Seattle, we shared the data we collected in our scale lab, which consists of 500 physical nodes. Using virtual machines, we can simulate up to 5000 Kubernetes minions running actual workloads, and our tests are designed to reveal how Kubernetes behaves while managing a complex application (in this case, OpenStack services) at large scale.
OpenStack is no longer the new, exciting kid on the block. That title has clearly gone to containers and container orchestration systems such as Kubernetes. So what does that mean for OpenStack?
We performed density and performance tests on OpenStack Neutron to determine whether it was ready for large-scale production environments; here’s what we found out.