what is the use of docker and kubernetes

#WHAT IS THE USE OF DOCKER AND KUBERNETES HOW TO#
#WHAT IS THE USE OF DOCKER AND KUBERNETES PORTABLE#
#WHAT IS THE USE OF DOCKER AND KUBERNETES CODE#

This made Kubernetes much easier to implement in the organization’s infrastructure. The orchestration war was won when Docker adopted the Kubernetes platform and brought it into the fold. One extremely important reason why Kubernetes is a top orchestrator on the market is that k8s is continuously developing. With Docker and Kubernetes together, your infrastructure is easily manageable and highly fault-tolerant. For this, we have an orchestration platform - Kubernetes. So, you docker your app, and then what? Then you have to orchestrate it somehow: schedule and operate your containers. You might have heard the phrase ‘to dockerize an application.’ This means that you pack an application in separate images that are easier to manage and result in higher fault tolerance. Docker offers containerization, Kubernetes organizes those containers. This question is quite misleading as Kubernetes and Docker are not even direct competitors. The best way to realize the difference is by understanding what Kubernetes and Docker are. You can also avoid exposing your secrets in your stack configuration when deploying or updating your application. Kubernetes allows teams to store and manage passwords, OAuth tokens, and SSH key sensitive information that needs a secure management solution. This feature is one of the most essential tricks that Kubernetes offers - when a container fails (we know it can happen at the most inconvenient time), k8s launches a new identical container, routes traffic to the new one, and kills the inactive container. You can set Kubernetes to control the result of deploying an application and automatically rollback to the previous version if anything goes wrong with a new one.

#WHAT IS THE USE OF DOCKER AND KUBERNETES CODE#

It gives you flexibility in managing storage with code and requesting the size you need for your application. With the Kubernetes platform, you aren’t tied to the local storage but can use any network, cloud, or other storages. If a container is receiving high traffic, Kubernetes will start additional containers and balance the traffic among them so that the service is stable. Here is a short introduction to what Kubernetes orchestration opens the door to: Isn’t it liberating when a machine has your back when a container fails? This is exactly why we use Kubernetes - automatic scaling, failover, deployment patterns, canary and other zero-downtime deployments, and more. So, what is k8s? It’s a machine that runs the container management for you. First of all, you need to remember that Kubernetes is an orchestration tool, don’t confuse it with Docker (see next chapter).

#WHAT IS THE USE OF DOCKER AND KUBERNETES HOW TO#

Here you are - coming closer to what Kubernetes is and how to use it. Now that you understand containerization, you are ready to find out what Kubernetes is and why it is used.

while sharing one operating system among applications (see picture above). Unlike VMs, containers have their filesystem, CPU, memory, process space, etc. This is why containerized applications are more secure and manageable. Kubernetes containers are isolated from the underlying infrastructure.

#WHAT IS THE USE OF DOCKER AND KUBERNETES PORTABLE#

Isolating application components made them lightweight, portable between clouds, and increased application manageability. Being very similar to virtualization, it addressed several issues: application manageability, scalability, and fault-tolerance. Once the resources allocation issue was fixed, another solution came along - containerization. Virtualization allowed businesses to add, update, and scale applications without paying for extra servers. This solved the resource allocation issue since organizations could deploy multiple applications on one server while still keeping them in isolated environments so that the resources spread out. VMs are complete machines that run all components of applications and their operating system on top of the hardware (see picture above). The solution offered to run Virtual Machines on the server’s CPU. Well, this is what they call - a traditional deployment. Not only is this costly, but also it would take a lot of room to keep all those servers. However, organizations would have to pay multiple times more. Logically, a perfect solution would be running apps on separate servers. Simply put, when one server ran several applications and took most of the resources, the other would underperform. Thus, the resource allocation issue came up. Defining resource boundaries became an issue as it was just impossible to do it. History of application deploymentĪs you see in the picture above, early on, organizations ran applications on physical servers with an installed operating system on top of them. Check out the table below to see why Kubernetes became so useful.

What is the use of docker and kubernetes