In a way, we can see that DevOps is all about efficiency and at the same time providing its customers with the best of the products available. DevOps can also be defined as the philosophy of efficient development, deployment, and operation using the highest of all possible software available as on the day.
Having said that, let us take a look at all possible DevOps tools available in the space of Containerization, for consumption by Organizations with no further delay. We will try to present each of these tools, explain their features, and also provide you with the reasons why you should be choosing (if you are willing to choose it).
Here we will take a look at each of the DevOps tools in specific, and understand the intricacies of it. Based on its usage, we have also compiled some of the advantages of using it as well. Though the list is exhaustive, it is better you take the time to go through all the available options as this process is believed to be a one-time action for an individual or an organization, and for the impatient, you can definitely go to the tool of your choice directly.
Marathon, an Apache Meso framework that was designed solely to manage containers can make your life pretty easy. In comparison to the other prevailing orchestration solutions such as Kubernetes, Docker Swarm, Marathon will allow and ensure that you will be able to scale your container infrastructure by just automating most of the management and also the monitoring tasks.
Over the days, Mesos Marathon has been evolving into a very sophisticated and feature-rich tool. It becomes even more difficult to bring the better of Apache Mesos Marathon into the limelight all by itself.
Following are some of the advantages of using Marathon, let us now take a look at each and every one of them:
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CoreOS Container Linux is said to be the topping the charts in the space of Container Operating Systems – which are by default designed to be managed and to be run at humongous scales with the least possible or minimal operational overhead.
Applications with the Container Linux run inside these containers and provide a developer-friendly set of tools for the software deployments. Container Linux runs on nearly almost all the possible combinations of platforms, be it physical, virtual, public, or private cloud spaces.
CoreOS also do provide the fleet functionality based on the fleets cluster manager daemons which do control the CoreOS’s separate system instances at the cluster level itself.
Following are some of the advantages of using Fleet, let us now take a look at each and every one of them:
Docker Swarm is native clustering for Docker. It turns a pool of Docker hosts into a single, virtual Docker host. A swarm contains more than one Docker host that run in the Swarm mode, it acts as a manager to manage the membership and workers which would then run the Swarm services. A Swarm cluster consists of Docker Engine deployed on multiple nodes. Manager nodes perform orchestration and cluster management. Worker nodes receive and execute tasks from the manager nodes.
Following are some of the advantages of using Swarm, let us now take a look at each and every one of them:
[ Related Article: DevOps for Dummies - Beginners ]
The Docker Hub can be very easily defined as a Cloud repository in which Docker users and partners create, test, store, and also distribute Docker container images. Through the use of Docker Hub, a user can very easily access public, open-source image repositories and at the same time – use the same space to create their own private repositories as well.
Following are some of the advantages of using Docker Hub, let us now take a look at each and every one of them:
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Packer is free and open-source software that finds its usage to create identical machine images or containers for various platforms from a singly available source configuration. Having pre-baked machine images is very advantageous because to create them scratch is a very tedious task.
There were not as many tools earlier that could perform this task, and even if there exists such software or a tool – then there would have been a huge learning curve that gets associated with it.
As a result of that, earlier to Packer – the creation of machine images was always a threat to the agility of the operations team and also weren’t used despite their massive benefits. Packer with its invent has been able to replace these for quite a long, as Packer is very easy to use and also automates the process of creation of any kind of machine image.
Packer encourages modern configuration machines using frameworks like Chef or Puppet to install and also to configure this software that you are planning to Packer-made images. To be very precise, Packer brings the concept of pre-baked images into the modern age, therefore, encouraging untapped potential and also encourage newer and newer opportunities.
Having said all this, let us take a look into the advantages that it has in store for us:
Following are some of the advantages of using Packer, let us now take a look at each and every one of them:
Kubernetes was built by Google based on its experience of running Containers in various Production environments. With a combination of great software engineers working on the project plus the fact that Google was behind the evolvement of Kubernetes, it is one of the best-suited tools that run some of the largest software services by scale.
This combination ensured that this rock-solid platform can take any scaling needs of an Organization head-on. Kubernetes is an open-source system for deploying, scaling, and also to manage containerized applications. Kubernetes brings both the software design and also software operations together as one single operation by design.
Kubernetes enables the deployment of cloud-native applications anywhere and also manages these deployments exactly, the same way as you like from everywhere. With the Containers, it is very easy to ramp up the application instances to match the spikes in the demand whenever observed.
These containers do obtain these resources from the core host OS, they are considered much lighter weight than those of the traditional Virtual machines. By this, also ensures that the underlying server infrastructure is highly efficiently made use of.
Following are some of the advantages of using Kubernetes, let us now take a look at each and every one of them:
Nomad is a Cluster Manager and also a Scheduler that is designed for Micro-services and also to handle batch workloads. It is also distributed, highly available and at the same time scales to thousands of nodes or clusters that can span amongst multiple data centers and regions.
It does provide a common workflow that helps deploy applications across the infrastructure. Developers or any other individuals for that case can provide declarative job specifications to define the way or manner that the applications must be deployed and resources must be allocated.
Nomad accepts requests for executing such jobs, and also finds all the resources that need to run these jobs as well. The scheduling algorithm that is used by Nomad, it ensures that all the constraints that it needs are satisfied and packs applications on the host to help optimize resource utilization.
It additionally supports virtualized, containerized, and also standalone applications that run on major operating systems. Nomad is also finding its application in the production environments as well.
Following are some of the advantages of using Nomad, let us now take a look at each and every one of them:
OpenVZ can be described as a Container-based Virtualization solution for Linux environments. It does it by creating multiple secure and isolated Linux servers termed as the Virtual Private Servers (VPS) on a single physical machine. Each of these containers (VPS) performs or executes instructions as if they are run on a standalone server.
The only way that OpenVZ containers differ from the traditional Virtual machines is that they run on the same OS Kernel as of the host itself but in turn, allows multiple Linux variants in individual Containers, and because of this running of these containers is done with very less overhead. With the same, it also provides greater efficiency and manageability than the traditional old Virtualization technologies.
Following are some of the advantages of using OpenVZ, let us now take a look at each and every one of them:
The very first thing that might hit your mind is the very name of the tool as Solaris and Containers are two words from two different extremes, but let me clarify that it is very much possible in this decade.
Over the past few years, the discussion over Containers usually happened with Docker, CoreOS, and LXD on Linux (to some extent over Windows and Mac OSX too) but with Solaris (Oracle’s UNIX like OS) have had containers for quite a long time now. Though with the confusion that the name creates, Solaris Containers are pretty hardly identical to those of Docker, CoreOS containers.
These do similar things as virtualizing software inside isolated environments curtailing the overhead of having a hypervisor or a VMware instance. Though the world might be considering Docker and the like for their Linux environments Solaris Containers are also interesting enough to gain knowledge all about.
There is a plan to bring Docker to Solaris Containers as confirmed by Oracle – which only means that Solaris Containers can be seen more on the mainstream Containers and DevOps space.
Following are some of the advantages of using Solaris Containers, let us now take a look at each and every one of them:
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CloudSlang, an open-source software tool that finds its usage in the orchestration space is one of the cutting-edge technologies available for Organizations with DevOps implementations. It is one such tool that can perform the orchestration activity on almost anything that you can imagine in an ageless manner.
There is a possibility that an individual can re-use a ready-made workflow or design a custom workflow altogether – which can further be reusable, shareable, and are also very easy to understand as well.
Following are some of the advantages of using CloudSlang, let us now take a look at each and every one of them:
In this article, we have tried to understand the concept of Containerization and also we have gone through the exhaustive list of Containerization DevOps tools present in the current market. We have tried to provide a lot of details about the tools themselves and also tried to provide the industry proved advantages of using these tools for your Organization. Hope the details provided are all that you were looking for and keep us updated on what can be changed, improved, or corrected (if any).
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Ravindra Savaram is a Content Lead at Mindmajix.com. His passion lies in writing articles on the most popular IT platforms including Machine learning, DevOps, Data Science, Artificial Intelligence, RPA, Deep Learning, and so on. You can stay up to date on all these technologies by following him on LinkedIn and Twitter.