Containerization and orchestration

Automating container deployment, management, scaling, and networking is done through container orchestration. Container orchestration might be helpful for businesses that must deploy and manage thousands or even millions of Linux servers and containers.

Any environment where using containers is allowed can employ container orchestration. The ability to deploy the same application across many settings without having to change it can be useful. Additionally, orchestrating services like networking, security, and storage becomes simpler using microservices in containers.

Why do we need container orchestration?

Running containers in production can quickly become labor-intensive because they are lightweight and transient by nature. A containerized application may need to run hundreds or thousands of containers, especially when combined with Microservices, which typically each run in their container. This is especially true when creating and managing any large-scale system.

If handled manually, this can add a lot of complexity. Because it offers a declarative method of automating most of the labor, container orchestration makes that operational complexity bearable for development and operations, or DevOps. This makes it a strong fit for DevOps teams and culture, which often aim to work much more quickly and nimbly than traditional software teams.

Container orchestration tools

Tools for container orchestration offer a framework for handling Microservice architecture with containers at scale. Container lifecycle management can be accomplished using a variety of container orchestration solutions. Kubernetes, Docker Swarm, and Apache Mesos are a few wellliked choices.

Google engineers created and initially developed Kubernetes, an open-source container orchestration platform. In 2015, Google gave the Kubernetes project to the newly established Cloud Native Computing Foundation.

Building application services that span numerous containers, scheduling containers across a cluster, scaling those containers, and managing their health over time are all made possible by Kubernetes orchestration.

Numerous manual procedures for deploying and scaling containerized apps are done away with by Kubernetes. You may join together sets of hosts running Linux containers, whether physical or virtual, and Kubernetes provides you with the framework to manage such clusters quickly and effectively.

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How does container orchestration Work?

The configuration of an application is specified using a YAML or JSON file when utilizing a container orchestration technology like Kubernetes. The configuration file instructs the configuration management tool on how to set up a network, where to locate the container images, and where to save logs.

When deploying a new container, the container management tool automatically decides which host to use while taking into consideration any established criteria or limitations. The container's lifecycle is then managed by the orchestration tool per the parameters specified in the compose file.

Benefits of container orchestration

  • Improved applications development: With containers, applications development, testing, and production are accelerated. New versions with new features can be set up quickly in production and rolled back when there is a need for it. Thus, containers are ideal for use in agile environments. They also make for more efficient DevOps since containerized applications will run practically anywhere.
  • Simplified installation and deployment: Since everything related to the application resides within containers, application installation is easier. When there is a need to scale up due to increased demand or traffic, container orchestration allows for the easy setup of new instances.
  • Lower resource requirements: Since containers do not include OS images, they are more lightweight than traditional applications. If you are currently operating in a virtualized environment, they are also much easier to operate and maintain than VMs. Container orchestration tools help with resource management.
  • Lower costs: Several containers can be accommodated per host, even in environments that do not use any form of container orchestration. The number of containers residing per host is higher in companies using container orchestration software.
  • Better productivity: Containers already allow rapid testing, deployment, patching, and scaling. Container orchestration tools make these processes even faster.
  • Improved security: Application security is enhanced with applications and their processes isolated in containers. Container orchestration tools also ensure that only specific resources are shared between users.
  • Ideal for Microservice architecture: Traditional applications are mostly monolithic— they have tightly coupled components acting together to perform the tasks they were designed to do. Microservice is characterized by loose coupling among application components, with each service able to be scaled or modified separately. Containers are built for microservices. Container orchestration allows containerized services to act more fluidly in conjunction with other services.
  • Simplified operations: This is the most crucial benefit of container orchestration and the main reason for its adoption. Containers introduce a large amount of complexity that can quickly get out of control without container orchestration to manage it.
  • Resilience: Container orchestration tools can automatically restart or scale a container or cluster, boosting resilience.
  • Added security: Container orchestration's automated approach helps keep containerized applications secure by reducing or eliminating the chance of human error.

Tools for containers orchestration

  • Docker
  • Kubernetes


Docker is an open-source project that makes deploying applications inside software containers easier. Its logo features a friendly whale. It is a collection of PaaS products that use OS-level virtualization to deliver containers (software packages). It offers a user-friendly API while embodying the Linux kernel's resource separation characteristics. It is a platform that the DevOps ecosystem is made for. It is a suitable solution for software firms that need help to keep up with the rate at which business, technological, and client demands change. Due to this, Docker is a clear choice for accelerating and scaling up business processes.

To put it simply, Docker is a tool or platform created to make it easier to create, deploy, package, and ship programs along with all its component elements, including libraries and other dependencies. Its main objective is to automate Linux operating system-level virtualization and the deployment of applications. The ability to run several containers on the same hardware offers high productivity, maintains segregated programs, and makes configuration simple.

Use Docker: Why?

  • Agility: The application and all its libraries, binaries, and configuration files are packaged using container technology like Docker. It facilitates the speedy creation of a single package easily deployed in many contexts and platforms.
  • Less Overhead: Containers share the resources and the guest operating system. Because of this, using the container is far quicker, lighter, and more effective than virtual machines.
  • Version Control: Containers make it simple to manage several applications' versions. Moving between environments without thinking about particular adaptations is also beneficial.

How does it fit with DevOps?

Docker is a tool that is useful for administrators and developers alike. This makes it a standard component of the DevOps toolchain (developers and operations). Developers can write Code without consideration for the platform that will ultimately run the program. Additionally, they can use one of the countless applications developers have already created and optimized for usage in Docker containers.

Docker allows operations workers the freedom to test in a different setting. Due to Docker files' tiny size and minimal expense, it also lowers the cost of investing in multiple setups.

Docker is already widely used by DevOps tools like Ansible, Vagrant, Chef, and Puppet. This aids in automating both the deployment and use of specialized environments.

Benefit of Docker

Low System Requirements: Since virtual machines need complicated and extensive hardware, companies install containers instead of virtual machines. Compared to virtual computers, containers use shared operating systems, which are far more effective. 99.9% of the overall space is left unoccupied for usage by other programs or processes because they don't utilize the operating system as a whole. Therefore, if your container system is correctly optimized, you can operate more server instances on a single machine than you can with virtual machines.


Continuous Integration & Deployment

The ability of Docker containers to support continuous deployment and integration is an additional benefit. After reading this Docker Container tutorial, you'll have a good notion of their purposes. Developers can easily and quickly release their CodeCode by integrating it with a shared repository using the DevOps approach and DevOps Lifecycle.

  • Quick Application Portability
    Applications can be instantly portable with containers. It denotes the ability of developers to package, distribute, and run the application as a standalone container. Almost anywhere allows you to operate it. It makes application deployment more effective and is simple to use.
  • Code Isolation
    Even DevOps engineers and developers can, if they choose, isolate their CodeCode into a single container using Docker. This makes it simpler to modify or update programs. Companies may quickly divide an extensive application into smaller ones and launch each one separately with the aid of Dockers.
  • Increased Efficiency
    Software may be deployed even 200 times faster by an IT team with high DevOps skills than by any underperforming IT department, and it can be recovered 24 times faster with a lower failure rate. Businesses are utilizing DevOps, and as a result, they are testing the application in a protected environment using DevOps Docker. Delivering some applications in this manner is quite effective.

Why is Docker Used in DevOps?

  • Real-Time Docker Usage Examples
    Let us know a few real-time uses of Docker now that you are familiar with it and how it is used in DevOps. Here are a few examples of Docker in use right now.
  • Environment Standardization
    By reducing the differences between various environments, Docker brought about environment standardization. A company may ensure that every team member works in the same domain thanks to this technology, which makes the development environment reproducible. For development, testing, and production, top businesses use Docker.
    Docker primarily creates configuration files so each team member can establish their own environment.
  • Consistent and Faster Configuration
    Config files for Docker are straightforward. You must deploy your configuration after entering it into the CodeCode. You can use the same configuration repeatedly because Docker supports a variety of environments.
    The quickest project setup for new developers is the most advantageous aspect of using Docker. For each developer, the development environment might remain the same.
    Once consistency has set in, you may bypass the time-consuming environment setups and let the new developers get to Work. Most importantly, Docker saves time on process setup and deployment documentation.
  • Better Disaster Recovery
    There is always an invitation when disaster knocks on the door. In times of tragedy or disruption, Docker offers a backup, though. If a significant problem arises, the lost data may be recovered later. If hardware breaks, for instance, a corporation is more likely to lose data. Docker can, however, immediately assist in replicating the file to the new hardware.
  • Helps in Better Adoption of DevOps
    Better DevOps Adoption Docker is being used to standardize the environment by the DevOps community. Docker preserves the testing and production environments' compatibility.
    Automation benefits much from standardization as well. The conventional development environment can annoy the team members because of the constantly changing interface.


Kubernetes is an open-source container management system developed by Google and made available to the public in June 2014. The goal is to make deploying and managing complex distributed systems easier for developers interested in Linux containers. It was designed by Google engineers experienced with writing applications that run in a cluster.

Kubernetes—or K8s as it is commonly called—is the third container cluster manager developed by Google, improving core scheduling architecture and a shared persistent store at its core. Kubernetes APIs that process REST operations are similar to other APIs.

Of all the technologies to emerge over the past decade, Kubernetes is one of the most important. Automating management tasks that would not be feasible to perform by hand in most situations plays a critical role in deploying containerized applications both in the cloud and on-premises.

However, Kubernetes is a complex technology. Getting started with Kubernetes requires becoming familiar with several types of tools and concepts (like nodes, pods, clusters, and services). And depending on exactly how you are using Kubernetes, the specific approach you take to getting started will vary.

What Can You Do With Kubernetes?

Kubernetes allows companies to harness more computing power when running software applications. It automates the deployment, scheduling, and operation of application containers on clusters of machines—often hundreds of thousands or more—in private, cloud, or hybrid environments. It also allows developers to create a "container-centric" environment with container images deployed on Kubernetes or integrate with a continuous integration (CI) system.

As a platform, K8s can be combined with other technologies for added functionality and does not limit the types of supported applications or services. Some container-based Platform-as-aService (PaaS) systems run on Kubernetes. As a platform, K8s differs from these PaaS systems in that it is not all-inclusive and does not provide middleware, deploy source code, build an application, or have a click-to-deploy marketplace.

What Does Kubernetes Do?

The main reason to use Kubernetes is to eliminate the need to perform tedious tasks, like manually starting and stopping containers or assigning containers to individual servers.

Indeed, if you have a large-scale container deployment, Kubernetes (or a similar orchestration tool) is essential for making it practical to manage the environment. You can get away with managing a half-dozen container instances by hand. Still, beyond that point, it becomes infeasible to manage an application environment without the automation provided by Kubernetes.

Beyond its automation benefits, Kubernetes provides some other valuable features. Although Kubernetes is not a security tool, it lets you implement some security protections (using features like role-based access control and pod security policies) that add security to containerized application environments. Kubernetes also makes it easy to migrate an application deployment from one Infrastructure to another since Kubernetes configurations and data are portable across different infrastructures.

Why is Kubernetes so popular among developers?

The reasons why Kubernetes is so well-liked are its scalability, agility, streamlined methodology, and open-source status. Additional factors for Kubernetes' acceptance include the following:

  • Flexibility and portability
    No matter the kind of container runtime or underlying Infrastructure, Kubernetes can operate efficiently in all circumstances. On the on-site servers, private cloud, and public cloud infrastructure, Kubernetes functions flawlessly. It is also very portable because Kubernetes may be set up in a variety of infrastructures and environmental settings.
  • Infrastructure abstraction
    Cloud applications' storage, networking, and compute needs can be handled separately by Kubernetes, commonly referred to as K8s. Developers can concentrate on creating applications once Kubernetes has been implemented because they won't need to worry about the environment.
  • Automated operations
    There are numerous built-in commands available in Kubernetes for automating numerous daily tasks. By automating the majority of heavy-duty processes, it hence simplifies the application management process.

Why is Kubernetes important for DevOps?

Kubernetes offers the following benefits for DevOps.

  • No downtime for deployment
    With Kubernetes, developers can distribute updates to their cloud-based apps without any interruptions. Update deployment is protected in case of failure by the rolling updates and automated rollback features. Kubernetes may update one cluster at a time while transferring traffic to the remaining active services.
  • Scalability
    Kubernetes makes it simple to scale apps because it is an autonomous and continuous containerization ecosystem. Kubernetes can scale an application up or down based on demand, resource demands, and resource availability. This procedure is automated by the horizontal pod autoscaler, which ensures efficient resource use.
  • Infrastructure and configuration as Code
    Developers can manage Code setups for their coding environments and produce "infrastructure as code" with the aid of Kubernetes. So, when delivering a new environment, scripts don't always need to run continuously. Developers can connect Kubernetes to the source repository and its configuration files.
  • Cross-functional collaboration
    Collaboration is made simple with Kubernetes' role-based access controls, which also guarantee that resources and configurations are stable. As an illustration, Kubernetes can limit tester access to only builds and pending approvals. Customers may, however, only be allowed to review deployment and processes.

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