Janae  Haag

Janae Haag

1590906120

Running MongoDB Ops Manager in Kubernetes

Recently we announced the ability to deploy Ops Manager in Kubernetes. Now we’re back to show you how, step by step. This tutorial is your guide to configuring Ops Manager in Kubernetes. We’ll take you from the installation and configuration of a MongoDBOpsManager resource to working directly with MongoDB clusters.

#kubernetes #mongodb

What is GEEK

Buddha Community

Running MongoDB Ops Manager in Kubernetes
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

Query of MongoDB | MongoDB Command | MongoDB | Asp.Net Core Mvc

https://youtu.be/FwUobnB5pv8

#mongodb tutorial #mongodb tutorial for beginners #mongodb database #mongodb with c# #mongodb with asp.net core #mongodb

Install MongoDB Database | MongoDB | Asp.Net Core Mvc

#MongoDB
#Aspdotnetexplorer

https://youtu.be/cnwNWzcw3NM

#mongodb #mongodb database #mongodb with c# #mongodb with asp.net core #mongodb tutorial for beginners #mongodb tutorial

Turner  Crona

Turner Crona

1595751850

Tutorial Part 2: Ops Manager in Kubernetes

Let’s briefly explore how we got here from a technical perspective. As you may know, support for MongoDB on Kubernetes has already been implemented by the MongoDB Enterprise Kubernetes Operator, or Operator for short. This was done by creating Kubernetes Custom Resources Definitions for MongoDB which describe the configuration for the MongoDB cluster to be deployed.

In August 2019 the alpha version of the MongoDBOpsManager Custom Resource was released. It allowed the Operator to start a single instance of Ops Manager in Kubernetes and the application database. The application database is used to store Ops Manager data.

In December 2019 the MongoDB Enterprise Kubernetes Operator 1.4.0 was released, at which point the MongoDBOpsManager Custom Resource was promoted to Beta with a rich feature set: high availability, backup, external access configuration, authentication for the application database and Openshift support.

In GA version MongoDBOpsManager got TLS support, rich status, fine-grained configuration of StatefulSets for Ops Manager and Backup, JVM parameters configuration, improved backup configuration.

This article will describe the architecture of Ops Manager in Kubernetes and provide step-by-step instructions detailing how to configure these additional Ops Manager features in Kubernetes. To follow along, it’s critical that you complete the steps in Part 1 of the tutorial.

Architecture

The Operator manages the MongoDBOpsManager Custom Resource and monitors for any updates to its specification. Each update results in a reconciliation process where the following actions are done:

  1. The Operator creates/updates the application database StatefulSet running at least 3 MongoDB instances. StatefulSet is an API object that manages stateful applications.

Note: The only type allowed is Replica Set and SCRAM-SHA authentication is always enabled. Each database pod runs an instance of MongoDB Agent which is configured directly by the Operator.

  1. The Operator creates/updates the StatefulSet running the Ops Manager pods. Ops Manager instances connect to the application database created in the previous step.
  2. The Operator ensures the StatefulSet for the Backup Daemon is running unless backup is disabled. The StatefulSet consists of a single pod. The Backup Daemon connects to the same application database as the Ops Manager instance.
  3. The Operator registers the first user with GLOBAL_OWNER role and saves a public API key to a secret for later usage. This is done only once during the Ops Manager creation.
  4. The Operator configures the Backup Daemon using Ops Manager public API according to the backup specification.

#kubernetes #ops manager #mongodbopsmanager #api #mongodb

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