Jenkins
How to Create Builds with the Jenkins Freestyle Project
What is a Jenkins freestyle project? A Jenkins project is a repeatable build job which contains steps...
Kubernetes is an open-source container management software developed in the Google platform. It helps you to manage a containerized application in various types of physical, virtual, and cloud environments.
It is a highly flexible container tool to deliver even complex applications. Applications 'run on clusters of hundreds to thousands of individual servers." It also allows you to manage your containerized application more efficiently.
In this tutorial, you will learn:
Docker is an open-source lightweight containerization technology. It has gained widespread popularity in the cloud and application packaging world. It allows you to automate the deployment of applications in lightweight and portable containers.
It is computer software used for Virtualization. It also allows you to run multiple Operating systems on the same host. Virtualization in Docker is performed on the system-level in what is popularly called Docker containers.
Here are the essential features of Kubernetes:
Here are the essential features of Docker:
Parameters | Docker Swarm | Kubernetes |
Developed by | Docker Inc | |
Year Released | 2013 | 2014 |
Scaling | No Autoscaling | Auto-scaling |
Cluster Setup | Setting up the cluster is challenging & complicated. Cluster Strength is stronger. | Setting up the cluster is simple. Requires only two commands. Cluster Strength not as strong |
Installation | Easy & fast | Complicated & time-consuming. |
Data volume | Shares storage volumes between multiple containers in the same Pod. | Shares storage volumes with any other container |
Support for logging and monitoring tool | Allows you to use a 3rd party tool like ELK. | It offers an in-built tool for logging and monitoring. |
Load balancing | Does auto load-balancing | Manually configure your load balancing settings |
Scalability | Scaling up is faster than K8S. But, it's cluster strength is not as robust. | Scaling up is slow compared to docker. However, guarantees stronger cluster state Load balancing needs manual service configuration. |
Updates | Agent update can be performed in place. | A cluster can be upgraded in place. |
Optimized For | Optimized for a single large cluster | Optimized for multiple smaller clusters of SDLC |
Tolerance ratio | High fault tolerance | Low fault tolerance |
Node Support | Supports 2000 > nodes | Supports up to 5000 nodes |
Container Limit | Limited to 95000 container | Limited to 300000 containers |
Public cloud service provider | Azure only. | Google, Azure, and AWS. |
Slave | Worker | Nodes |
Compatibility | Less extensive and customizable | More comprehensive and highly customizable |
Community | An active user base which regularly updates the software. | Offers strong support from open source communities and big companies like Google, Amazon, Microsoft, and IBM |
Large clusters | Speed is considered for the strong cluster states. | Offers container deployment and scaling, even in large clusters without considering the speed. |
Companies using | Spotify, Pinterest, eBay, Twitter, etc. | 9GAG, Intuit, Buffer, Evernote, etc. |
Github starts | 53.8 k | 54.1 k |
Github forks | 15.5 k | 18.7 k |
Here, are pros/ benefits of using Kubernetes.
Here, are significant cons/ benefits of using Docker container:
Here, are cons/ drawbacks of using Kubernetes container:
Here, are important cons/drawbacks of Docker container:
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