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Why is Containerization Essential for Achieving Successful DevOps Implementation?

· 14 min read
Suraj Rao
Lead Developer | Founder - Tristiks Tech.

benefits-of-docker-container

An in-depth exploration of containerization, a widely adopted technology for enabling DevOps implementation.

In our previous blog, we highlighted the importance of transitioning to a DevOps approach for software development. Now, let's turn our focus to containerization—a widely adopted technology that simplifies and enhances DevOps implementation. DevOps, as we know, is a cultural shift aimed at unifying the ‘development’ and ‘operations’ teams to foster collaboration rather than working in isolation. Containerization, on the other hand, is a technology that helps streamline this process. But what exactly is containerization? Let’s explore!

What is Containerization?

Containerization involves bundling an application with its necessary libraries, frameworks, and configuration files, allowing it to run efficiently across different computing environments. Simply put, it's the process of encapsulating an application along with everything it needs to function.

Recently, containerization has gained significant traction as it addresses the limitations associated with running virtual machines. A virtual machine replicates an entire operating system within the host OS and requires a fixed allocation of hardware resources to manage all its processes. This results in considerable overhead and inefficient use of computing resources, leading to unnecessary waste.

Additionally, configuring a virtual machine can be time-consuming, as is the process of setting up a specific application on each virtual machine. This leads to a considerable investment of time and effort solely in environment setup. Containerization, which gained popularity through the open-source project 'Docker,' alleviates these issues by offering enhanced portability. It achieves this by packaging all necessary dependencies into a portable image file along with the software.

Let’s explore containerization in greater detail, examining its benefits, functionality, methods for selecting a containerization tool, and how it outperforms virtual machines (VMs).

Some popular container providers are:

Linux Containers like LXC and LCD Docker Windows Server Containers

What is Docker?

Docker has emerged as a well-known term in the IT industry, and for good reason. It is an open-source software platform that provides a streamlined approach to building, testing, securing, and deploying applications within containers. Docker facilitates collaboration among software developers and integrates seamlessly with cloud, Linux, and Windows operating systems, enabling faster and more efficient service delivery.

Docker is a platform that enables containerization, allowing developers to package an application along with its dependencies into a single container. This simplifies development and accelerates software deployment. By eliminating the need to replicate the local environment on every machine where the solution will be tested, Docker maximizes productivity and saves valuable time and effort, facilitating faster progress in development.

Docker files can be easily transferred and tested among team members, streamlining collaboration. Docker also simplifies container image management, significantly transforming how we develop and test applications at scale.

Containerization – Implementing DevOps

Let’s explore why containers are increasingly becoming a fundamental component of standard DevOps architecture.

Docker has played a key role in popularizing containerization. Applications within Docker containers can run seamlessly across various operating systems and cloud environments, including Amazon ECS and others. As a result, users avoid vendor lock-in and have the flexibility to choose their technology stack.

Let us understand the need for implementing DevOps with containerization.

Initially, software development, testing, deployment, and monitoring were conducted sequentially, with the completion of one phase leading directly to the start of the next.

DevOps and Docker image management technologies, such as AWS ECR, have simplified IT operations for software developers, facilitating software sharing, collaboration, and increased productivity. In addition to promoting teamwork among developers, these technologies effectively eliminate the issues caused by differing work environments that previously impacted applications. In essence, containers are inherently dynamic, enabling IT professionals to build, test, and deploy pipelines with ease while bridging the gap between infrastructure and operating system distributions—this embodies the essence of the DevOps culture.

Software developers are benefited by containers in the following ways:

The container environment can be adjusted to optimize production deployment. It offers quick startup times and easy access to operating system resources. Unlike traditional systems, it allows multiple applications to coexist on a single machine. Additionally, it enhances DevOps agility, enabling seamless transitions between various frameworks. This approach promotes more efficient execution of processes.

Below are the steps to successfully implement containerization using Docker:

The developer should ensure that the code is stored in a repository, such as Docker Hub. It’s important to compile the code correctly and verify proper packaging. All plugin requirements and dependencies must be satisfied. Next, create container images using Docker and transfer them to your preferred environment. For streamlined deployment, consider utilizing cloud services like Rackspace, AWS, or Azure.

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Our tailored DevOps consulting services help streamline your processes, accelerate delivery, and ensure scalability.

Benefits of using Containers

Many companies are embracing containerization due to the numerous benefits it offers. Here’s a list of advantages you can gain from utilizing containerization technology:

1. DevOps-friendly

Containerization encapsulates the application along with its environmental dependencies, ensuring that an application developed in one environment functions correctly in another. This promotes collaboration between developers and testers, aligning perfectly with the principles of DevOps culture.

2. Multiple Cloud Platform

Containers can be deployed across various cloud platforms, including Google Cloud Storage (GCS), Amazon ECS (Elastic Container Service), and Amazon DevOps Server.

3. Portable in Nature

Containers provide excellent portability. A container image can be effortlessly deployed to a new system and shared as a file, making it easy to transfer across different environments.

4. Faster Scalability

Since environments are packaged into isolated containers, they can be scaled up rapidly, which is particularly beneficial for distributed applications.

5. No Separate OS Needed

In a virtual machine (VM) system, the bare-metal server runs a different host operating system than the VM. In contrast, containers leverage the kernel of the host OS of the bare-metal server. As a result, containers are generally more efficient in terms of resource utilization compared to VMs.

6. Maximum Utilization of Resources

Containerization optimizes the use of computing resources, such as memory and CPU, utilizing significantly fewer resources than virtual machines (VMs).

7. Fast-Spinning of Apps

Containers enable rapid application deployment, resulting in quicker delivery times and making the platform more convenient for system development. The machine does not require a restart to change resources, allowing for seamless updates and adjustments.

Automated scaling of containers allows for optimization of CPU usage and machine memory based on current load conditions. Unlike the scaling of virtual machines, this process does not require the machine to restart in order to adjust resource limits.

8. Simplified Security Updates

Containers offer process isolation, making it significantly easier to manage and maintain the security of applications.

9. Value for Money

Containerization provides a cost-effective solution by enabling the support of multiple containers on a single infrastructure. Therefore, even with investments in tools, CPU, memory, and storage, it remains an economical choice for many enterprises.

A complete DevOps workflow that incorporates containers can benefit the software development team in the following ways:

  • Automates tests at every step to detect errors early, reducing the likelihood of defects in the final product.
  • Facilitates faster and more convenient delivery of features and changes.
  • Provides a more user-friendly experience compared to VM-based solutions.
  • Creates a reliable and adaptable environment.
  • Enhances collaboration and transparency among team members.
  • Offers cost efficiency.
  • Ensures optimal resource utilization while minimizing waste.

Difference Between Containers and Virtual Machines (VMs)

A virtual machine can run multiple instances of different operating systems on a host machine without overlap. The host system enables the guest OS to function as a single entity. In contrast, a Docker container imposes less burden on the system compared to a virtual machine, as running an entire OS requires additional resources that can decrease the machine's overall efficiency.

Docker containers are lightweight and utilize only the essential resources needed to run the solution, eliminating the need to emulate an entire operating system. As a result, they require fewer resources than traditional applications, enabling a greater number of applications to operate on the same hardware, which helps reduce costs.

However, Docker containers offer less isolation compared to virtual machines. On the other hand, they promote greater homogeneity, as an application running on Docker in one system will operate smoothly on Docker in other systems as well.

Both containers and virtual machines utilize virtualization mechanisms; however, containers virtualize the operating system, while virtual machines virtualize the hardware.

Virtual machines exhibit limited performance, whereas compact and dynamic Docker containers deliver enhanced performance.

VMs demand more memory and incur higher overhead, making them computationally heavier compared to Docker containers.

Docker Terminologies

Here are some commonly used Docker terminologies:

  • Dependencies: These are the libraries, frameworks, and software required to create the environment that runs the application.

  • Container Image: A package that includes all the dependencies and information necessary to create a container.

  • Docker Hub: A public image-hosting registry where users can upload and manage images.

  • Dockerfile: A text file that contains instructions on how to build a Docker image.

  • Repository: A service, either network-based or internet-based, that stores Docker images. Repositories can be private or public.

  • Registry: A service that stores multiple repositories from various sources. It can be either public or private.

  • Compose: A tool that helps define and run multi-container Docker applications.

  • Docker Swarm: A cluster of machines designed to run Docker containers.

  • Azure Container Registry: A registry provider for storing Docker images on Microsoft Azure.

  • Orchestrator: A tool that simplifies the management of clusters and Docker hosts.

  • Docker Community Edition (CE): A set of tools that provides a development environment for Linux and Windows containers.

  • Docker Enterprise Edition (EE): A comprehensive suite of tools for Linux and Windows development.

Docker Containers, Images, and Registries

A service is created using Docker and packaged into a container image, which serves as a virtual representation of the service and its dependencies. An instance of this image is utilized to create a container that runs on the Docker host. The image is then stored in a registry, which is essential for deployment to production orchestrators. Docker Hub is commonly used to store images in its public registry at a framework level. The image, along with its dependencies, can then be deployed in the desired environment. It's worth noting that some companies also provide private registries.

A business organization can establish its own private registry to store Docker images. Private registries are beneficial for confidential images, allowing the organization to maintain limited latency between the image and the environment where it is deployed.

How does Docker perform Containerisation?

Docker image containers or applications can run locally on both Windows and Linux. This is accomplished by the Docker engine interfacing directly with the operating system, utilizing the system's resources effectively.

To manage clustering and composition, Docker offers Docker Compose, which facilitates the running of multiple container applications without overlap. Additionally, developers can connect all Docker hosts to a single virtual host using Docker Swarm Mode. Once this is set up, Docker Swarm is utilized to scale the applications across multiple hosts.

Thanks to Docker containers, developers can access the components of a container, including the application and its dependencies. They also have ownership over the application's framework. Multiple containers that operate on a single platform and depend on one another are referred to as a Deployment Manifest. Meanwhile, professionals can focus more on selecting the appropriate environment for deploying, scaling, and monitoring applications. Docker also helps minimize the chances of errors that may occur during the transfer of applications.

Upon completing the local deployment, the containers are then sent to a code repository, such as a Git repository. The Dockerfile in the code repository is utilized to build Continuous Integration (CI) pipelines, which extract base container images and construct Docker images.

In the DevOps framework, developers focus on transferring files across multiple environments, while managerial professionals oversee the environments to identify defects and provide feedback to the developers.

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Future-Proofing Containerization Strategy

It is always wise to anticipate future needs and prepare for scalability after defining a project's requirements. As time goes on, projects become more complex, making it essential to implement large-scale automation and ensure faster delivery.

Containerized environments, due to their density and complexity, necessitate careful management. In this regard, Platform as a Service (PaaS) solutions can be utilized by software developers to concentrate more on coding. There are various options available for selecting a suitable platform that provides enhanced services. Consequently, choosing the right platform for an organization based on its specific application can be quite challenging.

To assist you in the selection process, we have outlined several parameters to consider when choosing the best platform for containerization:

1. Flexibility

For optimal performance, it is essential to choose a platform that can be easily adjusted or automated based on specific requirements.

2. Level of Lock-In

Since many PaaS solutions are proprietary, vendors often tend to lock you into a single infrastructure.

3. Innovation Potential

Select a platform that offers a wide range of built-in tools and supports third-party integrations to foster further innovation for developers.

4. Cloud Support Options

When selecting the right platform, it's crucial to find one that accommodates private, public, and hybrid cloud deployments to adapt to evolving needs.

5. Pricing Model

It's natural to choose a containerization platform that supports long-term commitments. Understanding the available pricing models is important, as various platforms offer different structures based on operational scales.

6. Time and Effort

Keep in mind that containerization is not an overnight process. Professionals must invest time in restructuring architectural infrastructure and should be encouraged to adopt microservices. Transitioning from traditional structures requires breaking down large applications into smaller components distributed across multiple connected containers. Therefore, hiring experts is recommended to find a suitable solution for managing both virtual machines and containers on a single platform, as full reliance on containers takes time.

7. Inclusion of Legacy Apps

In the modernization process, legacy IT applications should not be overlooked. Containerization allows IT professionals to leverage these classic apps, maximizing the return on investment in legacy frameworks.

8. Multiple Application Management

Maximize the benefits of containerization by running multiple applications on container platforms. Invest in new applications at minimal cost and adapt each platform to be compatible with both current and legacy apps.

9. Security

Containerized environments can change more rapidly than traditional ones, introducing significant security risks. While agility benefits developers by providing fast access, it will fail to meet its purpose without the necessary level of security in place.

A significant challenge when working with containers is the risk associated with handling container templates provided by third-party or untrusted sources. Therefore, it is crucial to verify any publicly available template before using it.

An organization must enhance and integrate its security processes to ensure smooth development and delivery of applications and services. In the context of legacy application modernization, prioritizing security should be a top concern for the enterprise.

To stay aligned with the rapidly evolving IT industry, professionals should continuously strive for improvement and leverage new tools available in the market to enhance security.

Acknowledging the ever-changing nature of technology, consulting with a DevOps expert can provide valuable insights into the latest tools and best practices. This approach not only enhances security proactively but also offers a competitive advantage in the evolving IT landscape.

At Tristiks Technologies, our experts have successfully migrated complex application architectures to containerized microservices. We strategically plan and implement containerization in stages, measuring the outcome of each step along the way. Our DevOps specialists assist in facilitating a gradual transition to a DevOps culture, guiding you through every phase of this transformative journey to ensure your business achieves long-term success. Feel free to reach out to us here for your comprehensive DevOps or application migration needs.