How to Enable Consistent Azure Kubernetes Operations Everywhere

Is your organization preparing to use Microsoft Azure Kubernetes Service to run apps on-prem and in the cloud? In this video, come explore how Rancher can enable a consistent operational experience across clusters everywhere.

We will show how to leverage Rancher’s cluster provisioning capabilities to operate on-premise and cloud-based clusters. Last, we will discuss how these clusters can be plugged into Microsoft Azure Arc for Kubernetes.

Learn more: https://azure.microsoft.com/en-us/overview/linux-on-azure/

#kubernetes #azure

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50+ Useful Kubernetes Tools for 2020 - Part 2

Introduction

Last year, we provided a list of Kubernetes tools that proved so popular we have decided to curate another list of some useful additions for working with the platform—among which are many tools that we personally use here at Caylent. Check out the original tools list here in case you missed it.

According to a recent survey done by Stackrox, the dominance Kubernetes enjoys in the market continues to be reinforced, with 86% of respondents using it for container orchestration.

(State of Kubernetes and Container Security, 2020)

And as you can see below, more and more companies are jumping into containerization for their apps. If you’re among them, here are some tools to aid you going forward as Kubernetes continues its rapid growth.

(State of Kubernetes and Container Security, 2020)

#blog #tools #amazon elastic kubernetes service #application security #aws kms #botkube #caylent #cli #container monitoring #container orchestration tools #container security #containers #continuous delivery #continuous deployment #continuous integration #contour #developers #development #developments #draft #eksctl #firewall #gcp #github #harbor #helm #helm charts #helm-2to3 #helm-aws-secret-plugin #helm-docs #helm-operator-get-started #helm-secrets #iam #json #k-rail #k3s #k3sup #k8s #keel.sh #keycloak #kiali #kiam #klum #knative #krew #ksniff #kube #kube-prod-runtime #kube-ps1 #kube-scan #kube-state-metrics #kube2iam #kubeapps #kubebuilder #kubeconfig #kubectl #kubectl-aws-secrets #kubefwd #kubernetes #kubernetes command line tool #kubernetes configuration #kubernetes deployment #kubernetes in development #kubernetes in production #kubernetes ingress #kubernetes interfaces #kubernetes monitoring #kubernetes networking #kubernetes observability #kubernetes plugins #kubernetes secrets #kubernetes security #kubernetes security best practices #kubernetes security vendors #kubernetes service discovery #kubernetic #kubesec #kubeterminal #kubeval #kudo #kuma #microsoft azure key vault #mozilla sops #octant #octarine #open source #palo alto kubernetes security #permission-manager #pgp #rafay #rakess #rancher #rook #secrets operations #serverless function #service mesh #shell-operator #snyk #snyk container #sonobuoy #strongdm #tcpdump #tenkai #testing #tigera #tilt #vert.x #wireshark #yaml

Private Azure Kubernetes Service Clusters with Azure Private Links?

What if I tell you that you can make your AKS cluster private. No, not just setting the ingress controller LoadBalancer IP to a private IP and prevent internet ingress to the pods and applications, but prevent external access to the KubeAPI Sever completely. In other words, the kubectl commands cannot run over the internet and this creates an additional layer of security to your enterprise clusters!

#terraform #azure #kubernetes-security #kubernetes #azure-kubernetes-service

How to Enable Consistent Azure Kubernetes Operations Everywhere

Is your organization preparing to use Microsoft Azure Kubernetes Service to run apps on-prem and in the cloud? In this video, come explore how Rancher can enable a consistent operational experience across clusters everywhere.

We will show how to leverage Rancher’s cluster provisioning capabilities to operate on-premise and cloud-based clusters. Last, we will discuss how these clusters can be plugged into Microsoft Azure Arc for Kubernetes.

Learn more: https://azure.microsoft.com/en-us/overview/linux-on-azure/

#kubernetes #azure

Manage Azure Event Hubs with Azure Service Operator on Kubernetes

Azure Service Operator is an open source project to help you provision and manage Azure services using Kubernetes. Developers can use it to provision Azure services from any environment, be it Azure, any other cloud provider or on-premises — Kubernetes is the only common denominator!

It can also be included as a part of CI/CD pipelines to create, use and tear down Azure resources on-demand. Behind the scenes, all the heavy lifting is taken care of by a combination of Custom Resource Definitions which define Azure resources and the corresponding Kubernetes Operator(s) which ensure that the state defined by the Custom Resource Definition is reflected in Azure as well.

Azure Service Operator

_Read more in the recent announcement here — _https://cloudblogs.microsoft.com/opensource/2020/06/25/announcing-azure-service-operator-kubernetes/

In this blog post:

• You will get a high level overview of Azure Service Operator (sometimes referred to as ASO in this blog)
• How to set it up and use it to provision Azure Event Hubs
• Deploy apps to Kubernetes which use the Azure Event Hubs cluster

_The code is available in this GitHub repo _https://github.com/abhirockzz/eventhubs-using-aso-on-k8s

Getting started….

Azure Service Operator supports many Azure services including databases (Azure Cosmos DB, PostgreSQL, MySQL, Azure SQL.), core infrastructure components (Virtual Machines, VM Scale sets, Virtual Networks etc.) and others as well.

It also supports Azure Event Hubs which is a fully managed data streaming platform and event ingestion service with support for Apache Kafka and other tools in the Kafka ecosystem. With Azure Service Operator you can provision and manage Azure Event Hubs namespaces, Event Hub and Consumer Groups.

So, let’s dive in without further ado! Before we do that, please note that you will need the following in order to try out this tutorial:

#kubernetes #azure #azure event hubs #postgresql #mysql #azure sq

Understanding Kubernetes Operators

Automation is one of the fundamental components that makes Kubernetes so robust as a containerization engine. Even complex cloud infrastructure creation can be automated in order to simplify the process of managing cloud deployments. Despite the capability of leveraging so many resources and components to support an application, your cloud environment can still be fairly manageable.

Despite the many tools available on Kubernetes, the effort to make cloud infrastructure management more scalable and automated is ongoing. Kubernetes operator is one of the tools designed to push automation past its limits. You can do so much more without having to rely on manual inputs every time.

Getting to Know Kubernetes Operators

A Kubernetes operator, by definition, is an orchestration framework. It is a tool that lets you orchestrate and maintain cloud infrastructures with little to no human input. Kubernetes define operators as software extensions designed to utilize custom resources to manage applications and their components.

Kubernetes operators are not complex at all. Operators use controllers and the Kubernetes API to handle packaging, deployment, management, and maintenance of applications and the custom resources that they need. The whole process is fully automated, plus you can still rely on _kubectl _tooling for commands and operations.

In other words, an operator is basically a custom Kubernetes controller that integrates custom resources for management purposes. You can define parameters and configurations inside the custom resources directly, and then let the operators translate those parameters and run autonomously. Kubernetes operators’ continuous nature is their defining factor.

#blog #kubernetes #automation #kubernetes api #kubernetes deployment #kubernetes operators