The latest News and Information on Containers, Kubernetes, Docker and related technologies.
Today we are announcing support for Istio with Rancher 2.3 in Preview mode. Istio, and service mesh generally, has developed a huge amount of excitement in the Kubernetes ecosystem. Istio promises to add fault tolerance, canary rollouts, A/B testing, monitoring and metrics, tracing and observability, and authentication and authorization, eliminating the need for developers to instrument or write specific code to enable these capabilities.
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.
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.
