‘Docker’ would have been a familiar term for those working with cloud or data centre services. Docker has emerged as a greatest container technology within a year. Docker 1.0 was released this June and Docker buzz turned into a roar after this. Major companies started adopting this technology at high rates. There are a wide range of businesses that move their application servers from virtual machines to Docker containers. Major bank leaders and IT companies have adopted this Docker technology.
Docker is an open-source application as like Canonical and Red Hat of Linux. Microsoft has also moved to Docker technology. The major reason for adopting Docker technology is its advantages over virtual machines. The Virtual machine’s hypervisors need the bulk of host system resources whereas the lightweight Docker technology uses just the kernel and libraries of the host. Docker avoids performance overhead, and cost overhead and ultimately offers better performance. Dockers are viewed as small capsules for holding the entire application. Still, the use of Docker is debated widely. Docker has a few disadvantages like a lack of GUI, command-line operations, and much more which are questioned by developers. Docker finds its way into real-world applications with its advantages.
In this chapter, we will discuss the differences between virtual machines and Docker in terms of advantages and disadvantages, the best and worst Docker sides, and finally the real-world applications of Docker technology.
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Docker technology has many uses and can readily occupy any client environment. Docker has very apparent usage in the Developer platform. But there is a debate going on between clients and Docker developers if Dockers are really useful against Virtual Machines.
Listed below are a few points why Docker is used for Flux 7 that uses DevOps:
The application which is under manufacture has Ruby on Rails having huge coding and also Nginx Apache server, Redis, Memcached, and MySQL. The website is completely for AWS or Amazon Web Services based on subnets and Virtual Private Clouds. Imagine that you have used Chef for setting up LogStash (logging system), Zabbix (monitoring system), and also for DevOps. The query that arises now is how to optimize the developer flowing at best. The best solution that anyone would propose is by using the Docker application.
Is it good using the Docker application for developing complicated websites?
This query will lead to a very useful discussion and listed below are four important reasons why the Docker application must be used in a developer platform:
There lies a great difficulty in using multiple Docker containers on a portable device like a laptop when compared to Virtual Machines. The local configuration must act like a single entity for each tier, the same to production, an alternative to installing all laptop software under a single IP address. The actual question in mind is about using six Docker containers or six VMs. The major drawback of using six Virtual Machines is that the laptop would get tanked. VirtualBox on the other hand is not a good virtual machine manager and thus either Parallels or VMWare needs to be used. There is much research needed on this topic to discover whether Docker or VM is best, though the conclusion seems neutral for both Docker and VM in this case.
Docker has the capacity for creating or deleting a clear environment fast. Docker usage makes a huge difference in applications like developing cooking recipes which need a clean platform at each time when a failure is faced. In a regular kind of Ror development environment, a clear environment is not necessary and thus Fastboot protocol is convenient though not mandatory. There is a strong thought that cookbooks and DevOps can easily be debugged effectively using Docker.
While sharing of a Virtual Machine in a remote environment is difficult, it is completely possible and easier to share Docker containers with the help of Docker registries. Docker has the capability to pull constructive changes and thus scored the current point. This ability of Docker has advantages in the majority of web applications.
One cannot run VMWare on Amazon Web Service but Docker technology provides the ability to run Docker container on AWS. In addition, Docker containers can be run parallel on Cloud as well- the same Docker container can run on both VMWare and Cloud. This is a great positive point for Docker.
Docker is best suitable for applications like AWS or cloud services.
For Docker users, listed below are crystal clear advantages of Docker that none can argue against:
[ Related Article: Introduction to DevOps Docker ]
The Docker application’s container technology has become very popular and made a mark in various Information Technology environments. With the growing demand for Docker, the Docker technology is believed to stay strong in IT industry for longer periods of time.
The debate is lasting forever about the major advantages and best application areas of Docker technology. There is another question in mind- how to more reasonably take Docker forward, avoiding alienating the present users or damage for the utilities. Let us take a quick glance of what are the best and worst sides of Docker.
Let us hear the best side of Docker from great personalities who are experienced in IT and Docker technology.
[ Check out Complete Docker Architecture ]
Docker has started making advancements, recently. Initial Kitematic was released recently which will propose a convenient Graphical User Interface for Docker with Mac operating system and Windows. Another technology called the SDN of SocketPlane has been adopted by Docker.
The major debate is whether Docker will solve its problems and emerge as the best solution for enterprises or if Red Hat is going to provide a more useful and immediate solution to enterprises as the enterprise customers cannot wait till Docker modifies itself. As customer expectation starts building wild and the need for new features arise, Docker suffers in this area in spite of its various advantages. It will surely take more time for rebuilding the Docker application.
Docker offers lightweight nature of virtualization, involving no overhead. This helps in delivering a few vigorous advantages.
The very first advantage is that users get benefitted from additional layer abstraction by Docker, preventing performance overhead. The next advantage of Docker is that the users can have multiple Docker containers that run on same machine, which is made possible by virtualization.
The other major impact is that the Docker container’s bring-down and bring-up can possibly be accomplished in a few seconds of time.
Listed below are a few cases that enable Docker technology for providing a consistent platform with the least overhead.
This is the prime use case that Docker Inc advertises about. One major advantage with Virtual Machines is the tendency to execute on any platform using its self-configuration above your infrastructure. Docker offers a similar ability but without any overhead as like VM. Docker enables you to deploy it on any environment by configuring specific code. A single Docker configuration is capable of running in various environments. This will detach the requirements for infrastructure from the application development area.
The previously seen use case brings great influence to the pipeline’s code management. As the coding traverses from the developer machine into the production area, it has to pass through various different platforms to reach there. Each of these environments has small differences. Docker creates an integrated environment for applications to travel from developer to production, creating easier development and deployment standards for pipeline code.
This will lead to extra advantages. Docker has a well-suited developer productivity use case. In the dev environment, there are two major aims that conflict with one another. We need Docker to be used closer to production and at the same time we need the dev environment to run as quickly as possible for user interaction.
For achieving the first aim, we must have each service to run on the service’s own virtual machine for reflecting the way the application is running. At the same time, we never need to require internet connectivity always which adds up to compilation overhead while working remotely. Here lies the 0-overhead feature of Docker technology. The Dev environment normally runs short of memory. Using of a virtual machine will add to memory overhead, which is overcome by Docker technology.
There are multiple reasons for developers to run many applications on a single machine. For example, Dev productivity flow as seen in the previous case. There are other reasons also. Few reasons to take into consideration are minimizing cost or planning gradually in separating monolithic environment into decoupled pieces. There are many advantages in a developer's point of view for the decoupled application.
Similar to VM usage to consolidate many applications, isolation of applications can be easily achieved through Docker. Docker has the capability to consolidate multiple servers for cost savings. Without multiple operating system’s memory footprints, Docker has the ability to share unused pieces of memory across various instances. Docker offers a denser server grouping mechanism than virtual machines.
[ Related Article: Docker Swarm Architecture Best Practices]
Docker offers many tools which are not always container-specific. They all have the best working capacity with all container types. These Docker Tools also offer useful functionalities. These functionalities include the capacity to version the containers and also to the checkpoint, which is extended to two various container types. This is highly helpful for fixing application bugs.
The other interesting Docker use case is its ability to co-operate for multi-tenant platforms, which avoids rewrites for many applications. The best example of multitenancy is developing fast and convenient multi-tenancy applications for IoT. The actual code fundamentals involved in these multi-tenant applications are quite complex, unchangeable, and hard to handle. Re-structuring an application causes huge cost overhead as well as time-consuming.
With the help of Docker, it is inexpensive and easier for creating environments that are isolated from each other, to run multiple tenant instances in an application tier. The high spinning speed of Dockers and effective commands are helpful for these kinds of applications.
Before the use of virtual machines, it took a large number of days to build a hardware resource newly. The virtualization concept has reduced days to minutes. Docker, on the other hand, has brought this count to seconds. Docker just creates Docker containers for specific processes but never boots the operating system. Even the leading companies like Facebook and Google make use of container technology- Docker, mainly due to this reason of quick deployment.
It is very easy for creating as well as destroying resources on data centres without bothering about rebuilding costs. With the help of more rigorous resource allocation methods, utilization rates of data centres can be easily hiked. The cheap cost in building new instances with Docker enables high allocation of resources.
The use cases of Docker are not limited to the above; there are many others available for building proper solutions for your business. The Docker has enlarged from secured to the empowerment of the developer platform.
The right motivation behind Docker usage is the satisfaction of choosing the correct tool for appropriate job types. Start with the business use case and enlarge from there.
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Vinod M is a Big data expert writer at Mindmajix and contributes in-depth articles on various Big Data Technologies. He also has experience in writing for Docker, Hadoop, Microservices, Commvault, and few BI tools. You can be in touch with him via LinkedIn and Twitter.
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