1575449092
Container orchestration is fast evolving and Kubernetes and Docker Swarm are the two major players in this field. Both Kubernetes and Docker Swarm are important tools that are used to deploy containers inside a cluster. Kubernetes and Docker Swarm has many their prominent niche USPs and Pros in the field and they are here to stay. Though both of them have quite a different and unique way to meet the goals, at the end of the day their endpoint remains quite near.
Kubernetes is based on years of Google’s experience of running workloads at a huge scale in production. As per Kubernetes website, “Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications.”
Docker swarm is Docker’s own container’s orchestration system. It uses the standard Docker API and networking, making it easy to drop into an environment where you’re already working with the Docker containers. Docker Swarm is designed to work around four key principles:
Although both of the orchestration tools are quite similar there are some technical and functional variations and differences which make them different and also good or bad in their own niches. Some of those points are listed below.
In Kubernetes, installation is manual and it takes serious planning to make Kubernetes up and running. Installation instructions differ from OS to OS. Cluster configuration like IP addresses of a node or which node takes what role is needed to know in advance in Kubernetes. Various 3rd party packages like minikube/microk8s and kubectl/kubeadm are needed to be installed for the working and development of kubernetes.
Whereas; Docker Swarm is simple to install as compared to Kubernetes. With Docker, only one set of tools is required to learn to build upon environment and configuration. Docker Swarm also provides flexibility by allowing any new node to join an existing cluster as either a manager or a worker. Docker swarm moreover has the added advantage of using Docker API and common commands and underlying architecture remains the same.
It requires knowing CLI (Command Line Interface) to run Kubernetes on top of Docker. You should know Docker CLI to navigate within a structure and then supplemental Kubernetes common language infrastructure to run for those programs.
Since Docker Swarm is a tool of Docker, a same common language is used to navigate within a structure. This provides variability and speed to this tool and gives Docker a significant usability edge.
Kubernetes supports multiple versions of logging and monitoring when the services are deployed within the cluster:
Docker Swarm is supported for only monitoring with third-party applications. It is recommended to use Docker with Reimann for monitoring, however since Docker Swarm has an open API, it makes easier to connect with plenty of apps.
Kubernetes is more of an all-in-one framework for distributed systems. It is a complex system as it offers a unified set of APIs and strong guarantees about the cluster state, which slows down container deployment and scaling.
As compared to Kubernetes, Docker Swarm can deploy containers faster; this allows fast reaction times to scale on demand.
Kubernetes network is flat, as it enables all pods to communicate with one another. In Kubernetes, the model requires two CIDRs( Classless Inter-Domain Routing). The first one requires pods to get an IP address, the other is for services.
In a Docker Swarm, a node joining a cluster creates an overlay network of services that span all of the hosts in the Swarm and a host only Docker bridge network for containers. In Docker Swarm, users have the option to encrypt container data traffic when creating an overlay network by on their own.
#Kubernetes #Docker #DevOps
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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
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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.
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.
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:
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
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Heard about Docker, Kubernetes and Docker Swarm and wondered how they compare to each other? 🤔
It seems that Docker and Kubernetes are competing technologies. But in fact, they actually complement one another to get the best out of both. 💡
In the video I show them both in the software development process and explain the differences.
In contrast, Docker Swarm is the comparable technology to Kubernetes, which I compare in the below video too.
#kubernetes #docker #dockerswarm #devops #containerization
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Kubernetes:
Setting up a cluster manually is complex. The configurations differ between different operating systems. It requires a lot of pre-planning as far as the setup goes. Components like storage and networks require configurations. Third-party packages like kubectl etc are required.
Docker Swarm:
Installing Docker Swarm clusters is simple. It only requires a few commands to setup a cluster, and then to add further worker or manager nodes. The setup is also OS independent, and so developers don’t have to spend any time learning new commands based on the OS.
Kubernetes:
It has to be setup manually but is not very complicated. An ingress can be used to load balancing. Pods are exposed as a service.
Docker Swarm:
Load balancing is done by default and ports are assigned automatically. All containers from a cluster remain in a common network.
#docker #container-orchestration #containers #kubernetes #docker-swarm
1575449092
Container orchestration is fast evolving and Kubernetes and Docker Swarm are the two major players in this field. Both Kubernetes and Docker Swarm are important tools that are used to deploy containers inside a cluster. Kubernetes and Docker Swarm has many their prominent niche USPs and Pros in the field and they are here to stay. Though both of them have quite a different and unique way to meet the goals, at the end of the day their endpoint remains quite near.
Kubernetes is based on years of Google’s experience of running workloads at a huge scale in production. As per Kubernetes website, “Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications.”
Docker swarm is Docker’s own container’s orchestration system. It uses the standard Docker API and networking, making it easy to drop into an environment where you’re already working with the Docker containers. Docker Swarm is designed to work around four key principles:
Although both of the orchestration tools are quite similar there are some technical and functional variations and differences which make them different and also good or bad in their own niches. Some of those points are listed below.
In Kubernetes, installation is manual and it takes serious planning to make Kubernetes up and running. Installation instructions differ from OS to OS. Cluster configuration like IP addresses of a node or which node takes what role is needed to know in advance in Kubernetes. Various 3rd party packages like minikube/microk8s and kubectl/kubeadm are needed to be installed for the working and development of kubernetes.
Whereas; Docker Swarm is simple to install as compared to Kubernetes. With Docker, only one set of tools is required to learn to build upon environment and configuration. Docker Swarm also provides flexibility by allowing any new node to join an existing cluster as either a manager or a worker. Docker swarm moreover has the added advantage of using Docker API and common commands and underlying architecture remains the same.
It requires knowing CLI (Command Line Interface) to run Kubernetes on top of Docker. You should know Docker CLI to navigate within a structure and then supplemental Kubernetes common language infrastructure to run for those programs.
Since Docker Swarm is a tool of Docker, a same common language is used to navigate within a structure. This provides variability and speed to this tool and gives Docker a significant usability edge.
Kubernetes supports multiple versions of logging and monitoring when the services are deployed within the cluster:
Docker Swarm is supported for only monitoring with third-party applications. It is recommended to use Docker with Reimann for monitoring, however since Docker Swarm has an open API, it makes easier to connect with plenty of apps.
Kubernetes is more of an all-in-one framework for distributed systems. It is a complex system as it offers a unified set of APIs and strong guarantees about the cluster state, which slows down container deployment and scaling.
As compared to Kubernetes, Docker Swarm can deploy containers faster; this allows fast reaction times to scale on demand.
Kubernetes network is flat, as it enables all pods to communicate with one another. In Kubernetes, the model requires two CIDRs( Classless Inter-Domain Routing). The first one requires pods to get an IP address, the other is for services.
In a Docker Swarm, a node joining a cluster creates an overlay network of services that span all of the hosts in the Swarm and a host only Docker bridge network for containers. In Docker Swarm, users have the option to encrypt container data traffic when creating an overlay network by on their own.
#Kubernetes #Docker #DevOps