Containers are brilliant at packaging and holding all of application codes, dependencies, libraries, and necessary configurations in a way that you can run it anywhere easily. But problem arises of fact that containers themselves cannot do things like: load balancing, provisioning hosts, distributing containers across multiple servers, scaling up and down of a cluster, etc. So concept of containerization platforms comes into picture.
1. Google Kubernetes :
Kubernetes is Google’s open-source, portable, and extensible take on container orchestration system for managing and dealing with containerized workloads that facilitate both declarative configuration and automation. Kubernetes came into picture in 2014 as an open-source project by Google. Kubernetes takes into account over 15 years of Google’s experience running production loads at scale with best of ideas and practices from community.
2. Docker Swarm :
Docker Swarm is a group of physical/virtual machines that are meant for running Docker application and have been configured with perspective of joining together to form a cluster. Docker Swarm is native clustering tool for Docker that has been part of core since version 1.12. It lets you manage and organize a cluster of Docker nodes, and allows you to interact with them like a single system. It provides optimality for your IT resources by scheduling containers to run on aptest host, balancing workloads to make sure that containers are loaded/launched where there are enough resources. All of this is done while maintaining performance standards that you define.
Differences between Kubernetes and Swarm Docker :
|1.||It was developed by Google in 2014.||It was developed by Docker, Inc. in 2013.|
|2.||Installation of Kubernetes requires a series of manual steps and configurations to tie together its components such as etcd, flannel and docker engine.||Docker installation is easy as any application which is available on package manager system on OS you are using. Docker just accounts for one-liner command on Linux platforms like Debian, Ubuntu and CentOS for it’s installation.|
|3.||It uses its own unique client, API and YAML definitions each differing from that of standard Docker equivalents.||Swarm API provides much of familiar/known functionalities from Docker, but functionalities provided are limited and so it does not fully encompass all of it’s constituting commands.|
|4.||Its complexity stems offer a unified set of APIs and facilitate strong guarantees to cluster states but at expense of speed, due to which, container deployment and scaling is slower.||On other hand, provides faster container deployment even in very large clusters and due to this high cluster fill stages support faster reaction times to scaling on demand.|
|5.||It enables/facilitates load balancing through manual service configuration, ie. containers pods need to be defined as services for load balancing.||It provides built-in/automated internal load balancing through connections between any node and container in cluster.|
|6.||It handles updates progressively. Each container is updated one by one(one at a time) to make sure availability of service is at all times. If something goes wrong during updation, a working version will be rolled back automatically.||In the case of Docker, it can apply updates to nodes incrementally. If anything goes wrong, you can easily roll back to previous working version of service.|
|7.||It volumes serves as an abstraction to allow containers (volumes) to be created and removed together with pod they are enclosed in. Containers share data within the same pod.||Its data volumes are basically created separately or together with containers, so that they can be shared between multiple containers.|
|8.||It supports multiple types of logging/monitoring services like Elasticsearch/Kibana (ELK) logs within container, Heapster/Grafana/Influx, Sysdig cloud integration and Node health.||It mainly supports monitoring services with third-party tools such as Reimann.|
|9.||It mainly uses flannel to setup it’s container networking. TLS authentication requires manual configuration for security purposes.||It facilitates multi-host ingress network overlay for container networking, running on all cluster nodes. TLS authentication is automatically configured.|
|10.||It relies on etcd and containers that are manually defined as services for discovery. A DNS server is a strongly recommended add-on to watch Kubernetes API.||It makes service discovery relatively easier. By default, containers are given their own unique IPs, which allows them to communicate through virtual private IP addresses in cluster-specific ingress network.|
|11.||It supports a more complex, flexible architecture with stronger service guarantees due to which performance slows down.||On other hand, supports a simpler architecture, so in terms of sheer speed, it always has an added advantage.|