We are very excited to announce Calico v3.8. Here are some highlights from the release. You can now view IP address usage for each IP pool using calicoctl. This allows you to more easily manage the IP space in your cluster, providing a simple way to see which IP pools have addresses available and which are running low. See the calicoctl reference documentation for more detailed information on how to use this feature.
This article originated from http://leebriggs.co.uk///blog/2018/11/07/kr8-kubernetes-config-mgmt.html Previous visitors to this blog will remember I wrote about configuration mgmt for Kubernetes clusters, and how the space was lacking. For those not familiar, the problem statement is this: it’s really hard to maintain and manage configuration for components of multiple Kubernetes clusters.
One of these problems is that Kubernetes has no login process. Ordinarily, the client software would initiate this login flow, but kubectl does not have this built in. Kubernetes leaves it up to you to design the login experience. In this post, I will explain the journey we took to get engineers logged in from the terminal and the challenges we faced along the way. The first step to SSO was to set up Dex as our Identity Provider.
Early adopter enterprises across verticals such as Retail, Manufacturing, Oil & Gas are looking to incorporate containers and Kubernetes as a way of modernizing their applications. Choosing k8s as a standard ensures that these applications can be deployed these on different data center infrastructures (bare metal/VMware/KVM on OpenStack etc) or on public clouds (AWS/Azure/GCP etc).
Over the last year, along with Kubernetes, Serverless computing platforms have acquired tremendous mindshare among the development community. As Serverless implementations begin to proliferate, I want to make the case that there are tremendous synergies to be gained by bringing both these paradigms together. Some of these benefits have been covered in previous posts. The majority of enterprises are embarking on their DevOps journey. Scaling such processes across a large enterprise is complicated.
Hi all! I am a part of the architecture team at Avito.ru, one of the world’s top classifieds (read more about Avito here). In this post I want to share our experience in implementing kubernetes at scale. Kubernetes is a powerful orchestration tool that helps us manage dozens of microservices, support robust and fast deploy. It’s really cool that we don’t have to manage resources manually, think about service discovery and so on.
An emerging use case for containerized platforms has been the ability to deploy applications in what is termed as an air-gapped deployment. This deployment pattern is particularly pronounced around edge computing (more on that later in the blog series) – though there exist significant differences between edge clusters and air-gapped deployments. Air-gapped applications are those that run isolated from datacenter or internet connectivity.
Calico provides users flexibility by detecting and choosing the right tool for the right job. One of our core values at Tigera is Our customer is the hero of our story. We consider the OpenSource users of Project Calico our customers and we intently listen to their needs to continuously deliver new capabilities and enhanced performance.
In the previous post, we took a look at the building blocks of Service Mesh Istio, got familiar with the system, and went through the questions that new Istio users often ask. In this post, we will look at how to organize the collection of tracing information over the network.
In this article, we’ll explore Calico’s denial-of-service (DoS) mitigation features, including XDP-optimisation support introduced in Calico v3.7.
