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Many development teams are now relying on the advantages of container technology to make the process of deploying and managing complicated applications easier. Containers are fast, portable, scalable, secure and easy to manage. But, to scale a container, you will require a container orchestration tool such as Kubernetes and Docker Swarm. Both tools offer a framework to manage various containers at the same time. Both have benefits and limitations, and each tool has a different purpose and focus. But which is better? Docker Swarm vs Kubernetes. Read this blog and explore the differences and similarities between Docker Swarm and Kubernetes, the two leading container orchestration platforms.
Table of contents
1) What is Docker Swarm?
2) Benefits of Docker Swarm
3) Example of Docker Swarm
4) Limitations of Docker Swarm
5) What is Kubernetes?
6) Benefits of Kubernetes
7) Examples of Kubernetes
8) Limitations of Kubernetes
9) Difference between Kubernetes and Docker Swarm
10) Conclusion
What is Docker Swarm?
A Docker Swarm is a set of either virtual or physical machines that run the Docker applications and have been aligned to connect in a cluster. It is a built-in feature of the Docker engine and is easy to set up and use. The cluster’s activities are handled by a Swarm manager, and machines that connect the cluster are indicated as nodes. One of the key advantages related to the Docker operation is the maximum level of availability delivered for applications. Docker Swarm allows you to connect containers to various hosts. There are two types of services in Docker Swarm: replicated and global.
Benefits of Docker Swarm
Here are the following benefits of using Docker Swarm.
1) Scalability: Docker Swarm can scale horizontally to be the back of thousands of containers. This makes it ideal for large-scale applications and workloads.
2) High availability: Docker Swarm is highly available. It means that your application will constantly run even if any hosts fail.
3) Load balancing: Docker Swarm automatically balances load traffic across the containers, ensuring that your applications are always available and performant.
4) Rolling updates: Docker Swarm allows you to perform rolling updates to your applications without downtime. This means that you can deploy new versions of your applications without disrupting your users.
5) Service discovery: Docker Swarm provides built-in service discovery, so your containers can easily find and communicate with each other.
6) Security: Docker Swarm provides a number of security features, such as encrypted communication and role-based access control.
Interested to gain deeper knowledge about docker, refer to our blog on "Podman vs Docker"
Examples of Docker Swarm
Here are some examples of how Docker Swarm can be used to enhance the performance, scalability and reliability of your applications.
1) Web applications: Docker Swarm can be used to deploy and manage web applications such as e-commerce sites and social networks. Docker Swarm assists in improving the web application performance by load-balancing traffic across multiple servers.
2) Microservices: It is also used to deploy and manage microservices architectures. Microservices are small and independent services that deal with each other via APIs.
3) Continuous Integration(CI) and Continuous Delivery(CD): Docker Swarm can be used to automate the CI/CD process. CI/CD is a set of practices that automates the creation, testing, and deployment of software. Docker Swarm can help to make the CI/CD process more efficient and reliable.
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Limitation of Docker Swarm
Docker Swarm is a robust container orchestration but also holds some limitations. Let's have a look at some of the limitations of Docker Swarm.
1) Limited functionality: Docker Swarm is a lightweight container that is tightly infused with the Docker engine. Due to this, it does not deliver as many features as other container orchestration.
2) Resource leaks: Docker Swarm can sometimes leak resources like memory or CPU. This will result in a performance issue and increased costs.
3) Unsuited for complex infrastructure: Docker Swarm is suitable for simple and medium-sized infrastructure, but it is not good for very complicated infrastructure.
4) No community support: Docker Swarm has a smaller community than other container orchestration platforms. This means fewer resources are available for Docker Swarm users, and it may be more challenging to find help if you have problems.
What is Kubernetes?
Kubernetes is one of the most popular open-source container orchestration tools that enables you to deploy and manage various container applications at scale. Kubernetes is frequently used with Docker Swarms. Additionally, it can operate with other container systems that comply with Open Container Initiative (OCI) standards for container runtimes and image formats.
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Benefits of Kubernetes
Let’s get into some of the key Benefits of Kubernetes.
1) Business productivity: Kubernetes automates the scaling, deployment and management of the applications in the container. This automation will result in saving time and eradicating errors through automating routine tasks and enabling teams to concentrate on offering value to the users.
2) Multi-cloud capacity: Multi-cloud capacity: Kubernetes offers a robust and flexible solution for multi-cloud capacity management. By summarising the underlying infrastructure, Kubernetes enables you to manage and deploy applications in the container across various cloud providers, reducing the worry regarding vendor lock-in or other compatibility problems.
3) Cheap in costs: Kubernetes is one of the most affordable platforms. It enables you to build great digital solutions at reasonable prices and assists you in getting better profits.
4) Better stability: The application stability will create the difference between a performant and a non-performant application. But, if you use Kubernetes, this will become your least concern as Kubernetes provides unbeaten stability.
5) Open source and free platform: Kubernetes is open-source and free software that works with the help of an extensive community. This means you can use Kubernetes however you want and edit Kubernetes' code to fit your requirements better.
Examples of Kubernetes
Here are the examples of how Kubernetes can be used.
1) Web applications: Kubernetes is frequently used to deploy and manage web applications collected from multiple containers, such as front-end and back-end containers. It ensures high availability, load balancing and smooth scaling.
2) Stateful applications: Kubernetes can deal with stateful applications such as databases, message queues, and storage systems with the help of Stateful sets. This makes sure that every instance has a stable identity network and stable storage.
3) Batch processing: Kubernetes can also be used to operate batch processing workloads such as data.
Limitations of Kubernetes
Here are some of the limitations of Kubernetes. Let’s understand.
1) Complexity: There is a steep learning curve in Kubernetes, which is why it is very complex to set up and configure Kubernetes cluster, define deployment manifests and manage resources, specifically for beginners.
2) Networking complexity: Networking in Kubernetes can be challenging as it is difficult to set up and troubleshoot. The policies of network and configuring services for communicating with each other can be pretty complex.
3) Resource overhead: It is very resource-intensive to run multiple Kubernetes components as Kubernetes itself consumes system resources. This will result in increasing infrastructure costs, specifically for small deployments.
4) Persistent storage: Although Kubernetes has options for persistent storage using Persistent Volume (PV) and Persistent Volume Claims (PVs), setting up and managing storage can be complicated and may need external solutions.
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Difference between Kubernetes and Docker Swarm
Now, let’s understand the differences between Kubernetes and Docker Swarm in terms of features, architecture and use cases.
Architecture
Kubernetes follows a bit of a complicated and distributed architecture. It works with a master-worker node setup where the master node, known as the control plane, manages the cluster and worker node, which is called minions run containers. On the other hand, Docker Swarm has a simpler architecture. It follows a very commanding model where you just what you need to run, and it tries to make it possible.
Scalability
Kubernetes is created for large-scale, complex applications and helps comprehensive scaling features. In contrast, Docker Swarm is easy and more suitable for smaller-scale applications and teams that need a very straightforward container orchestration solution. In terms of scaling, it is generally considered less powerful when compared to Kubernetes.
Extensibility
Kubernetes contains a rich ecosystem of extensions, plugins and third-party integration. Its functionality is customisable and extendable based on the specific requirements. At the same time, Docker Swarm deliver fewer extensions and integrations. While it offers basic container orchestration features out of the box, it may need more manual configuration for specialised use cases.
Monitoring
Kubernetes has a built-in feature of monitoring and helps in integration with the help of third-party monitoring tools. In contrast, there is no built-in feature of monitoring in Docker Swarm. It can help in monitoring only with the help of third-party applications.
Community and adoption
Kubernetes has a large and open-source community with widespread adoption for both small and large enterprises. It benefits from a broad range of community-contributed resources and documentation. In contrast, Docker Swarm has a small community and is generally less popular than Kubernetes.
Conclusion
In this blog, we have covered two main container orchestration tools, Kubernetes and Docker Swarm. Site reliability engineers choose between Docker swarm and kubernetes based on the system reliability and stability. We have discussed the benefits, examples and limitations of each tool and also explored the differences between both tools. Docker Swarm is a very easy-to-use and lightweight container orchestration tool with limited contribution in comparison to Kubernetes. On the other hand, Kubernetes is a very complicated but robust tool that provides auto-scaling and self-healing capabilities.
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