Panmure  Anho

Panmure Anho

1596032671

Automating System Updates for Kubernetes Clusters using Ansible

Kubespray is the go to tool for deploying self managed Kubernetes clusters. Built on Ansible, Kubespray makes it simple to deploy, update, and expand Kubernetes clusters. I highly recommend Kubespray if you are deploying your own bare-metal Kubernetes cluster or if you want to save money by not using cloud services like GKE (Google Cloud), EKS (AWS) or AKS (Azure).

Kubespray provides plenty of tools for managing Kubernetes, but it doesn’t provide any tools for managing the underlying infrasture. In this post I am going to show how use Ansible to automate zero down time system updates for Kubernetes clusters. The process for completing system updates on Kubernetes clusters is to:

  1. Cordon the node so no new pods are scheduled on the node
  2. Drain the node so all of the existing workloads are moved to other nodes
  3. Update and reboot the node
  4. Finally uncordon the node so new pods can be scheduled on the node

This method can also be used to automate other maintenance tasks on any type of cluster with out causing any down time for your servers.

#kubernetes #ansible

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Buddha Community

Automating System Updates for Kubernetes Clusters using Ansible
Christa  Stehr

Christa Stehr

1602964260

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

Origin Scale

Origin Scale

1620805745

Automation Management System

Want to try automated inventory management system for small businesses? Originscale automation software automate your data flow across orders, inventory, and purchasing. TRY FOR FREE

#automation #automation software #automated inventory management #automated inventory management system #automation management system #inventory automation

Maud  Rosenbaum

Maud Rosenbaum

1601051854

Kubernetes in the Cloud: Strategies for Effective Multi Cloud Implementations

Kubernetes is a highly popular container orchestration platform. Multi cloud is a strategy that leverages cloud resources from multiple vendors. Multi cloud strategies have become popular because they help prevent vendor lock-in and enable you to leverage a wide variety of cloud resources. However, multi cloud ecosystems are notoriously difficult to configure and maintain.

This article explains how you can leverage Kubernetes to reduce multi cloud complexities and improve stability, scalability, and velocity.

Kubernetes: Your Multi Cloud Strategy

Maintaining standardized application deployments becomes more challenging as your number of applications and the technologies they are based on increase. As environments, operating systems, and dependencies differ, management and operations require more effort and extensive documentation.

In the past, teams tried to get around these difficulties by creating isolated projects in the data center. Each project, including its configurations and requirements were managed independently. This required accurately predicting performance and the number of users before deployment and taking down applications to update operating systems or applications. There were many chances for error.

Kubernetes can provide an alternative to the old method, enabling teams to deploy applications independent of the environment in containers. This eliminates the need to create resource partitions and enables teams to operate infrastructure as a unified whole.

In particular, Kubernetes makes it easier to deploy a multi cloud strategy since it enables you to abstract away service differences. With Kubernetes deployments you can work from a consistent platform and optimize services and applications according to your business needs.

The Compelling Attributes of Multi Cloud Kubernetes

Multi cloud Kubernetes can provide multiple benefits beyond a single cloud deployment. Below are some of the most notable advantages.

Stability

In addition to the built-in scalability, fault tolerance, and auto-healing features of Kubernetes, multi cloud deployments can provide service redundancy. For example, you can mirror applications or split microservices across vendors. This reduces the risk of a vendor-related outage and enables you to create failovers.

#kubernetes #multicloud-strategy #kubernetes-cluster #kubernetes-top-story #kubernetes-cluster-install #kubernetes-explained #kubernetes-infrastructure #cloud

Panmure  Anho

Panmure Anho

1596032671

Automating System Updates for Kubernetes Clusters using Ansible

Kubespray is the go to tool for deploying self managed Kubernetes clusters. Built on Ansible, Kubespray makes it simple to deploy, update, and expand Kubernetes clusters. I highly recommend Kubespray if you are deploying your own bare-metal Kubernetes cluster or if you want to save money by not using cloud services like GKE (Google Cloud), EKS (AWS) or AKS (Azure).

Kubespray provides plenty of tools for managing Kubernetes, but it doesn’t provide any tools for managing the underlying infrasture. In this post I am going to show how use Ansible to automate zero down time system updates for Kubernetes clusters. The process for completing system updates on Kubernetes clusters is to:

  1. Cordon the node so no new pods are scheduled on the node
  2. Drain the node so all of the existing workloads are moved to other nodes
  3. Update and reboot the node
  4. Finally uncordon the node so new pods can be scheduled on the node

This method can also be used to automate other maintenance tasks on any type of cluster with out causing any down time for your servers.

#kubernetes #ansible

Ruth  Nabimanya

Ruth Nabimanya

1620633584

System Databases in SQL Server

Introduction

In SSMS, we many of may noticed System Databases under the Database Folder. But how many of us knows its purpose?. In this article lets discuss about the System Databases in SQL Server.

System Database

Fig. 1 System Databases

There are five system databases, these databases are created while installing SQL Server.

  • Master
  • Model
  • MSDB
  • Tempdb
  • Resource
Master
  • This database contains all the System level Information in SQL Server. The Information in form of Meta data.
  • Because of this master database, we are able to access the SQL Server (On premise SQL Server)
Model
  • This database is used as a template for new databases.
  • Whenever a new database is created, initially a copy of model database is what created as new database.
MSDB
  • This database is where a service called SQL Server Agent stores its data.
  • SQL server Agent is in charge of automation, which includes entities such as jobs, schedules, and alerts.
TempDB
  • The Tempdb is where SQL Server stores temporary data such as work tables, sort space, row versioning information and etc.
  • User can create their own version of temporary tables and those are stored in Tempdb.
  • But this database is destroyed and recreated every time when we restart the instance of SQL Server.
Resource
  • The resource database is a hidden, read only database that holds the definitions of all system objects.
  • When we query system object in a database, they appear to reside in the sys schema of the local database, but in actually their definitions reside in the resource db.

#sql server #master system database #model system database #msdb system database #sql server system databases #ssms #system database #system databases in sql server #tempdb system database