Nowadays, the Cloud platform is growing fast and it's changing the way how we manage our applications, how we deploy them, and how we make them run. That's because Cloud Platforms provide a lot of advanced features that you didn't have before. But what's the point of all this? How would this affect your daily work? Why you need to manage applications in a modern way? This blog will focus on Container Schedulers in the Cloud Platform and will explain how they work and why you need to use them.
Scheduling containers have the ability to run in any environment. Possibly, containers allows developers to create and deploy applications speedily and more securely. It solves the problem of moving codes from a desktop computer to a virtual machine by eliminating packaged application codes together with the related configuration files, libraries and dependencies required for it to run.
1. Why you should care about container schedulers?
Containers are becoming more popular today and many organizations and data centers are adopting them to keep up with the latest trends. However, one of the challenges that IT administrators and DevOps engineers have faced is how to manage containers in a simple, cost-effective and efficient manner. The main challenge is scaling container workloads and managing containerized applications. Containers should be treated like cattle and not like pets, which means creating multiple containers from a single image and then treating them as one unit to maintain. This approach helps in reducing the complexity of managing containers and also helps in scaling and load-balancing across the cluster. The idea of container schedulers is to automate the process of managing containers and managing the resources that are available within the cloud infrastructure.
2. What are the popular container schedulers?
Containers are still new, but they are already a popular way to deploy applications. Container schedulers are software tools to help manage containers. A container scheduler is a software tool that allows users to manage a cluster of machines so that they can run containers in a more reliable way. There are three popular container schedulers available on the market now: 1. Kubernetes 2. Docker Swarm 3. Google Container Engine Kubernetes are container schedulers based on the same principles and technologies, but each of them has its own pros and cons.
# 3. Understanding Container Schedulers
Containerization is the most popular way to deliver applications these days. Everyone is going to containerization. With the advent of microservices, it was a natural progression where containers took the center stage. The relatively new technology of Docker had a great influence in the containerization domain. Now with the arrival of Kubernetes, we have a whole new set of tools to manage the containers. But there are many other container schedulers available like Flynn, Rancher, Mesos etc. Kubernetes has definitely become popular with the growth of the cloud platform. It is a natural fit for the cloud. The cloud is based on the principle that we can provision resources very easily, and with containers we can accomplish the same thing. We can create a container and place it in the cloud and we don’t need to worry about the resources. We can just scale it up and down based on our requirements.
4. Compared Container Schedulers
Containerized applications are rapidly changing the way applications are built, deployed and managed. In such a scenario, container scheduling is one of the most important components of container orchestration. There are various container schedulers available in the market, and it is quite a task to choose the right one for your cloud application.
5. Choosing The Container Scheduler
Choosing the right container scheduler for your cloud platform is a crucial decision. Without the right scheduler, you won’t be able to reap the benefits of containerized applications. With the wrong one, you’ll find that you’ve limited your ability to scale your applications effectively
In Conclusion:** A container scheduler is an essential part of a cloud platform and can save your time, money and bandwidth when it comes to managing and deploying containers.