The latest News and Information on Containers, Kubernetes, Docker and related technologies.
This is the third of a series of three articles focusing on Kubernetes security: the outside attack, the inside attack, and dealing with resource consumption or noisy neighbors. A concern for many administrators setting up a multi-tenant Kubernetes cluster is how to prevent a co-tenant from becoming a “noisy neighbor,” one who monopolizes CPU, memory, storage and other resources.
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.
Kubernetes clusters use multiple certificates to provide both encryption of traffic to the Kubernetes components as well as authentication of these requests. These certificates are auto-generated for clusters launched by Rancher and also clusters launched by the Rancher Kubernetes Engine (RKE) CLI.
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.
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.
Kubernetes (K8s) is a prevalent open-source system for automating the deployment, scaling, and management of containerized applications. However, maintaining the service can be difficult and expensive. For that reason, it is easy to find platforms offering Kubernetes as a managed service. In this article, we will analyze three of the most popular services currently available: Google Kubernetes Engine, Azure Kubernetes Service, and Amazon Elastic Container Service for Kubernetes.
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.
