Introduction to CaaS (Container as a Service)

June 30, 2021

iauro Team

Contributing immensely to the global software solutions ecosystem. DevOps | Microservices | Microfrontend | DesignThinking LinkedIn
Containers as a service (CaaS) is a cloud service that lets software or DevOps engineers upload, organize, run, scale, manage, and stop containers using container-based virtualization.

Containerization has become very popular among developers looking to build portable application components for multi-cloud infrastructure.

The users of the CaaS services generally subscribe to the CaaS resources such as schedulers, load balancers, and instances. It helps them to develop, deploy and run containerized applications from a cloud environment.
Why is CaaS the model for today?
CaaS has many Features & benefits for DevOps. It accelerates the process of software development and the deployment of innovative solutions in a multi-cloud environment.

Software development teams will be able to release their product faster as the CaaS model reduces any bottlenecks that usually occur in the typical software development and deployment process.

The popularity of CaaS is increasing day by day, and it is estimated to be one of the fastest-growing service delivery models. Containers are going to be extensive due to their ease of use and features.


Scalability is considered a crucial component for cloud-native applications, and it should be implemented at the beginning to lower the application maintenance cost and combat downtime, thus leading to a better user experience.

Streamlined Development

CaaS will help developers smoothly construct a fully scaled container and carry out application deployment without any environmental disparities. It is considered an asset for IT departments across software development companies. It is a tool that comes in handy for organizations when they want to simplify their container management and deploy their cloud-native application in a security-rich environment. All the clients using the CaaS model for their deployments are seeing the benefits of container technology. This model increases efficiency and gives those clients the right to quickly deploy the cloud-native application with microservices.


CaaS model helps achieve cost efficiency as well. It is profitable as it reduces infrastructure, software licensing, and other overhead costs such as operating costs. The extra user cost for performance gain is the slightest, and the provider’s profit increases due to improvements in server performance. The CaaS model can be a promising and cost-efficient solution for both users and their providers.


Portability is another criteria where the CaaS model has the edge. Since all the dependencies, and the configuration files, in short, everything that an application needs to run, is inside the container, it allows the developers to launch the same application in a different environment, be it public or private. Thus, the clients across the industries using CaaS experience smooth transitions and quickly accelerate their development process in a completely different cloud environment.


Since containers are virtually isolated from other containers which might contain the components of the same applications and from the primary infrastructure, even if the security of one container is breached, other containers stay safe from such security attacks.

Even though the container is secure, there are still best practices for the user to perform to ensure the safety of the application. Like, for an EC3 container, the user should install only the required components. Amazon EC2 will provide services such as virtual firewalls, Access Control List (ACL), and the subnet route table rules.


Because of the autonomous nature of the container, it is pretty easy to create, start, replicate, or destroy a container within seconds. Containers allow faster software development execution plan and operational speed. Thus, releasing new versions of the application is also more accessible with the CaaS Model. It enhances the user experience by enabling the users to easily identify bugs and incorporate new features into the components distributed among the containers. CaaS allows developers to deploy a container environment quickly without understanding or building the underlying container infrastructure.

Apart from these features, the implementation of the CaaS model also diminishes the stress related to IT services and administration.

How does the CaaS Model work?

A virtual container is a logical packaging of the IT infrastructure environment containing all the dependencies, libraries, and configuration files required to run an application. This packaging allows the container package to operate applications in isolation. Containers are required to quickly build an application using microservices since the application components are portable across the multi-cloud environments,

CaaS works by automating hosting multiple clusters of Linux environments and deploying container technologies in high-security cloud environments. CaaS is different from PaaS (Platform as a Service) as it is not dependent on any stack ecosystem or any language runtime environment or database at the application level. It can run on any machine, be it on-premise or on the cloud.

CaaS Providers

Google Kubernetes and Docker Swarm are two examples of open source CaaS orchestration platforms.

Kubernetes, also known as K8s or “kube”, is an open-source platform that automates the deployment and scaling of container-based applications.

Kubernetes is considered an ideal platform for deploying because it makes it easy to manage multiple clusters of hosts running Linux container applications. It can be used to deploy any cloud-based application that may require rapid scaling. Any real-time streaming application may require rapid scaling to get rapid success as soon as it hits the market.


A swarm contains multiple Docker hosts that run in swarm mode and act as managers and workers. The user has to define the number of replicas, network, and storage available to createthe service. Docker can maintain that desired state. If any node becomes unavailable during this process, then docker aligns that node’s task on other nodes.


A significant difference between Kubernetes and Docker is that Kubernetes runs on a packaged cluster, whereas docker runs on a single node.

There are public cloud CaaS providers like IBM, Amazon Web Services (AWS) and Google, etc.

iauro can provide you with a consultation to determine if CaaS can benefit your business operations.


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