Containerization & microservices-based design have taken the DevOps community by storm in recent years. Why? Because it helps businesses save time and resources.
Containerization enables the packaging of a DevOps project and its dependencies. This allows you to switch the project across teams. Additionally, SDKs allow you to add containers directly to prototypes. This is how businesses can quickly deploy software and services.
And when it comes to container technology, two open-source champions stand out: Kubernetes and Docker. While they are essentially separate technologies that help users with container management, both are complementary to one another and are quite effective when used together.
A Brief Overview of Containers
Containers are a means of virtualizing operating systems. They let you execute an app isolated from its environment without having to launch a full virtual machine (VM) for each of them. Containers are packages that include the full RTE (runtime environment): the app, libraries, its dependencies, interconnections and code, and the necessary configuration files. Software containers speed up the development process by breaking software into extremely small components known as “microservices,” which can increase testing efficiency and reduce deployment and integration complexities.
As cloud computing architectures evolve from basic to complex, containers give a solid platform for shifting workloads inside hybrid or multi-cloud systems without requiring application changes. Operating systems, security policies, network topology, and storage configurations may change, but the app must always function in the same way. Since containers are meant to operate everywhere, a developer can easily execute the app from a computer or laptop, a test environment, or the cloud.
What Is Containerization?
Containerization separates software projects into containers to help in the development and deployment of software. The goal here is to keep file sizes modest. In short, it acts as a container for the DevOps project and its requirements. In turn, the code needs dependencies to run the program. This contains third-party software libraries, packages, frameworks, and other components. Containers also enable you to boost resources and distribute containers across developers.
Containers are scalable, and platform-independent as resources are assigned to them. This adaptability allows you to shift containers across teams while developing software. Furthermore, if a project requires additional resources, you can easily add them within minutes. In the end, teams’ need for flexibility and speed is driving them to Containerization.
Every day, developers all over the world utilize Containerization to solve a variety of problems. Some of the most significant advantages of Containerization are:
- Faster deployment
- Efficient Management
Market growth of Containerization
According to research, container technology, including Docker and Kubernetes, developed at the quickest rate among cloud-enabling technologies, with a CAGR of 40% throughout 2020. It is expected to increase at a compound annual growth rate (CAGR) of 30% from 2020 to 2027, achieving $9.7 billion by the end of the decade.
The cloud sector is one of the containerization market segments, with a CAGR of 28.5% during the analysis, surpassing $2.9 billion at the end. The category of on-premises Containerization is expected to grow at a CAGR of 30.7%.
The containerization market is divided into the following regions:
- The market in the United States was predicted to be $464.3 million in 2020, with a 30.9% dominance.
- The Chinese market is expected to grow at a 29.3% CAGR, hitting $1.7 billion by 2027.
- Japan and Canada are expected to expand at CAGRs of 27% and 25.9%, respectively.
- Germany is expected to keep one of the highest CAGRs in Europe, at 21.2%.
By 2025, the IT & telecoms industries are expected to lead demand in the containerization market. Other noteworthy industry sectors include:
- Medical care
- Banking, finance and insurance are all examples of financial services (BFSI)
Application containers’ agility and mobility make them the ideal platform for running rapidly expanding business workloads.
Rather than investing time in daily technical operations, Containerization allows software engineers to concentrate on what their businesses want and match it with the product lifecycle of their user apps. This pushes optimization efforts away from infrastructure and onto apps and their data.
Building and deploying containers with Docker
Docker is a tool that allows you to store any software in a container. Once created, the tool provides you with persistent Docker images that can operate on a variety of Docker-enabled operating systems.
One of Docker’s most important features is its mobility. Docker containers may run on any PC, data center, or cloud. Because just one process can operate in each container, an app can continue consistently while one aspect of it is updated or patched.
Using Kubernetes to manage containers
Kubernetes is an open-source container orchestration framework that enables several containers to collaborate, lowering the operational load. It allows:
- Running containers on a diverse range of devices
- Scaling containers in response to demand
- Maintaining consistency in storage across several instances of an app
- Loading distribution between containers
- Launching additional containers on other systems in the event of a failure
Docker and Kubernetes Integration
Docker and Kubernetes function at many levels. The Docker engine oversees operating the actual Docker container image. Kubernetes allows you to coordinate such containers while simultaneously dealing with higher-level notions like load balancing, service discovery, and network protocols.
When used together, Docker and Kubernetes are excellent tools for building a contemporary cloud architecture, but they are fundamentally different. It is critical to grasp the high-level distinctions between Kubernetes and Docker when constructing your stack.
Docker later versions have built-in support for Kubernetes. This capability helps development teams to more efficiently automate & manage all containerized apps built using Docker.
Companies use microservices to break down huge monolithic programs into little components, which they then bundle and deliver independently. These microservices make apps more flexible, scalable, and robust, as well as allowing you to update, adapt, and redeploy them more quickly. This is where platforms like Docker and Kubernetes come in to aid businesses.
Kubernetes has grown like wildfire in the market, with more and more enterprises adopting it each year. Many big corporations have already begun to use Kubernetes in large-scale production. On the other hand, Docker is a fantastic piece of technology that has experienced an incredible acceptance increase over the years. This is the reason for the astounding demand for Docker and Kubernetes around the globe, as organizations worldwide are integrating these two major platforms for their containers & microservices.
Learn Kubernetes online and enhance your career
Get certified in Kubernetes and improve your future career prospects better.
Enroll in Cognixia’s Docker and Kubernetes certification course, upskill yourself and make your way towards success & a better future. Get the best online learning experience with hands-on, live, interactive, instructor-led online sessions with our Kubernetes online training. In this highly competitive world, Cognixia is here to provide you with an immersible learning experience and help you enhance your skillset as well as knowledge with engaging online training that will enable you to add immense value to your organization.
Our Kubernetes online training will cover the basic-to-advanced level concepts of Docker and Kubernetes. This Kubernetes certification course offers you an opportunity to take advantage of connecting with the industry’s expert trainers, develop your competencies to meet industry & organizational standards, as well as learn about real-world best practices.
This Docker and Kubernetes Certification course will cover the following –
- Essentials of Docker
- Overview of Kubernetes
- Kubernetes Cluster
- Overview Kubernetes Pod
- Kubernetes Client
- Creating and modifying ConfigMaps and Secrets
- Replication Controller and Replica Set
- Exploring the Kubernetes API and Key Metadata
- Managing Specialized Workloads
- Volumes and configuration Data
- Monitoring and logging
- Maintenance and troubleshooting
- The ecosystem
Prerequisites for Docker & Kubernetes Certification
- Basic command knowledge of Linux
- Basic understanding of DevOps
- Basic knowledge of YAML programming language (beneficial, not mandatory)