Alex Tyler

Alex Tyler

1593088346

Kubernetes vs Docker | Docker Limitations

Kubernetes vs Docker is the most common question we got in our FREE class. Docker is a platform as a service(paas) product that is used to use applications on containers and Kubernetes is a container orchestration platform used to manage multiple containers.To know about the Kubernetes vs Docker and the limitation of docker which we can overcome using Kubernetes.

What is docker?

Docker is an open-source platform based on Linux containers for developing, shipping, and running applications inside containers. we can deploy many containers simultaneously on a given host. Containers are very fast and lightweight because they don’t need the extra load of a hypervisor because they run directly within the host machine’s kernel.

What is Kubernetes?

In organizations, multiple numbers of containers running on multiple hosts at a time so it is very hard to manage all the containers together we use Kubernetes. Kubernetes is an open-source platform for managing containerized workloads and services. Kubernetes takes care of scaling and failover for your application running on the container.

Kubernetes vs Docker

A fundamental difference between Kubernetes and Docker is that Kubernetes is meant to run across a cluster while Docker runs on a single node. Docker is the most popular container platform and Kubernetes is a platform for managing containerized workloads. Kubernetes can work with any containerization technology. Kubernetes helps with networking, load-balancing, security, and scaling across all Kubernetes nodes which runs your containers.

Docker Limitations

Docker Limitations

a) Dynamic IP: The problem with docker is it uses dynamic IP address. When we restart the container the IP address will change because IP is not static in Docker.

b) Ephemeral data storage: In docker storage, we have Ephemeral storage, not persistence storage due to this all of the data inside a container disappears forever when the container shuts down.

c) Confined to Single Host: In Docker, we can multiple containers on different hosts. Inside a single host we can connect multiple containers to each other via a bridge network but we can’t connect two containers that are running on different hosts.

#docker #kubernetes

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Buddha Community

Kubernetes vs Docker | Docker Limitations
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

Kubernetes Vs. Docker: Primary Differences You Should Know

Kubernetes vs Docker is an essential topic of debate among professionals. Both of them are related to containerization, and both of them have their sets of features. So, the community is divided into two sections, which can lead to confusion.

That’s why you should read this article as we’ve discussed all the significant differences between these two solutions. Let’s get started.

#kubernetes vs docker #kubernetes #docker

Iliana  Welch

Iliana Welch

1595249460

Docker Explained: Docker Architecture | Docker Registries

Following the second video about Docker basics, in this video, I explain Docker architecture and explain the different building blocks of the docker engine; docker client, API, Docker Daemon. I also explain what a docker registry is and I finish the video with a demo explaining and illustrating how to use Docker hub

In this video lesson you will learn:

  • What is Docker Host
  • What is Docker Engine
  • Learn about Docker Architecture
  • Learn about Docker client and Docker Daemon
  • Docker Hub and Registries
  • Simple demo to understand using images from registries

#docker #docker hub #docker host #docker engine #docker architecture #api

Panmure  Anho

Panmure Anho

1601301859

Kubernetes vs. Docker Swarm (k8 vs Docker Swarm)

Basically, both Kubernetes and Docker Swarm both are the container orchestration tool. The rise in interest to containers has in turn brought in higher demands for their deployment and management. Both Kubernetes and Docker Swarm are important tools that are used to deploy containers inside a cluster. So the question arises here is which one to use?

So lets discuss one by one and see the the differances between them.

Introduction to Kubernetes:

The name Kubernetes originates from Greek, meaning helmsman or pilot. Kubernetes is an open-source, portable, and extensible platform for managing containerized workload and services. That facilitates both declarative configuration and automation. Kubernetes manage the containers that run the applications and ensure that there is no downtime into a huge scale production environment.

Introduction to Docker swarm:

Docker swarm is a container orchestration tool, meaning that it allows the user to manage multiple containers deployed across multiple host machines. Docker Swarm is designed to work around four key principles:

  1. Less cluttered/heavy and with just working methodology
  2. No Single Point of Failure option for Docker Swarm
  3. Secure due to auto-generation of security certificates.
  4. Compatibility with Backward versions easily.

Here you get to know that both in some manner are the same , So now let’s check out the differences and see:

#devops #docker #docker swarm #kubernetes #swarm

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