Best Introduction of DevOps with Dockers Kubernetes
- April 5, 2019
- Posted by: admin
- Category: Big Data
An Introductory Guide To Devops,Docker and Kubernetes
In case of having a tech business, DevOps would be a great and smart choice. DevOps will help a businessman to get into the automation workflow of SDLC phases such as building, planning etc. This efficient automation cycle contains uninterrupted deployment, uninterrupted monitoring, uninterrupted integration etc.
They are built up usually with some CI/CD pipelines by various types of DevOps tools like
- puppet, nagios, Ansible etc.
What is DevOps – A basic Information:
DevOps is a popular name among the updated tech businessmen. This is basically a collaboration of information technology operations and software development program.
The word DevOps is configured by taking ‘Dev’ from software development and the portion ‘Ops’ from information technology operations. This is a package of software development processes.
The goals of DevOps are to make the system development life cycle shorter when it is rendering fixing bugs, features and updates in alignments with professional motives.
DevOps works with different sets of tools instead of a single tool. This follows a cross functional methodology. These bunch of tools are popularly known as ‘Toolchain’. These fit into various categories like
- Monitoring, etc.
The aims of DevOps are to shorten time to the marketplace, to shorten net time of fixing bugs, to improve the frequency of deployment etc.
Why Docker & Kubernetes Entry in DevOps Pipeline (CI/CD Pipeline):
Below is the architecture for Traditional Web Applications (Image )
Image2: Traditional DevOps Pipeline: To Automate deployment process for below applications , we need traditional CI/CD pipelines as shown in the below image.
Docker & Kubernetes is mainly used to build Micro services based applications.
Now, we will break traditional/monolithic Web application using Micro service architecture as shown in below image 3:
Image 3: Break Traditional Web Application into Micro-services App
Above application break down into three separate modules:
- Account Service
- Inventory Service
- Shipping Service
Now our infrastructure cost is increased, we will now require three application servers and three databases and more…
Infrastructure problems now will be resolved by Docker Containers and the automation of these kind of applications (Micro-services/Distributed applications) will be done through Docker and Kubernetes.
Modern/Advanced DevOps Pipeline using Docker & Kubernetes for Micro services/Distributed Applications :
In the procedure of training DevOps, a trainee can completely understand the whole system of the configuration of the CI/CD pipelines during the developing the software. He/she will learn about :
- CI pipeline configuration by using Jenkins CI server and Git
- What is docker container management and image creation
- Ecosystem life cycle of the automation process, docker cloud integration etc.
People who are associated with developing software or testing, architecture of solutions, clouds or administration of systems should obviously take this training. This might help you to excel in your business. People who are in It cell, must understand about the work flow of different DevOps phases.
As mentioned before, the knowledge of anything is not mandatory. Still a basic knowledge of Linux, Cloud and Python can be beneficial for the trainee.
Introduction of Docker :
Docker is a platform for Developers and System Admins to develop , deploy and run applications using virtual containers. No need for physical server, no need for physical infrastructure is required.
Docker Image = Code + Container (Server))
Docker Images push to a Container Repository (Docker HUB)
Docker Containers are increasingly popular because containers are:
Docker is a computer program which plays a role to operate system level virtualization. This was produced to market first in 2013. GNU/Linux, mac OS, Windows are its operating system.
This runs on a platform of x86-64, s390x, ARM, ppc64le. This usually runs a package of software – containers. These are separated from each other and cope up to form their new application, libraries, tools and configuring files.
A well maintained communication can take place by some efficient channels. A single OS kernel runs the entire package of containers. This allows independent containers run into a single Linux .
This does not need a separate OS like other virtual machines. All the facilities of DevOps is rendered by Linux kernel. Adding to it, this uses the resource isolation for CPU and this separate the view of the application of the operating system.
A trainee of this will learn about the containers, the difference between VM’s and containers, Docker images, Docker introductions, creation of own docker images, automation of image creation with DockerHub, Jenkins, exposing ports, mapping volume etc.
In an advance study they will learn about the introduction of Docker swarm, how to set up swam cluster, about the scaling services, failover management, monitoring service etc.
Docker is configured by three components :
- The first one is Software.
- Daemons, the docker known as dockerd usually handles and manages the objects and containers. This provides a command-line-interface to interact. The second one is Object. This is huge in number. This is used to manage a container. This service allows a container to scale among a number of daemons.
- Last one is Docker Registries (. This ripostes the Docker images. Whenever a Docker clinet connect to registries, they need to pull he images to use or push. This can be private or public.
Introduction of Kubernetes:
Scalability or LOAD-Balancing of Dockerized Application is done through Kubernetes Engine. This engine is developed by Google. It is used to scale out Docker images in production environment
- When number of Docker images increased up to a certain level then for load balancing or scalability we use Kubernetes
- To Automate Deployment process of Dockerized application on Kubernetes engine we use Modern DevOps Pipeline as shown in above image.
This is an open source container system. This is mainly used for the automation of application deployment, management and scaling. The goal of this tool is to render a platform for operations of apps, scaling, and automating deployment across the hosts.
This function with Docker. This was initially released in 2014. This is basically a cluster management software.
Kubernetes is tied loosely and it is extensible to meet various workloads. The primary scheduling unit of Kubernetes asre pods, service, volume, namespaces etc.
A trainee of DevOps should be trained on an overview of Kubernetes. They will know about basics of Kubernetes.
- Installation of Kubernetes
- Architecture of Kubernetes and the
- Components of Kubernetes master server.
In the zone of the Kubernetes master server component they will learn about
- kube proxy
- A runtime of container, kube scheduler.
They will also know about Kubernetes workload and V objectives such as V pods, Kubernetes replication controller.
They will help you to learn about Kubernetes deployment such as Daemon sets, jobs and cron jobs, stateful sets. This training will also help you to know about
- Kubernetes API
- Kubernetes creation of an app
- Kubernetes app deployment
- Kubernetes kubectl
- Kubernetes monitoring
- Kubernetes dashboard set up etc.
Docker & Kubernetes on Cloud :
Popular cloud services providers makes Docker & Kubernetes available on Cloud.
1) AWS (Amazon Cloud) : AWS provides Docker & Kubernetes on cloud on form of AWS ECS( Elastic Container Service). Also we can configure Docker & Kubernetes on AWS EC2 instance as well.
2) Microsoft AKS (Azure Kubernetes Service) : Microsoft Azure also provided Kubernetes service on Cloud.
Detailed Microsoft AKS(Azure Kubernetes Service) service Architecture :
aks service architecture
In the matter of DevOps Training Gyansetu is the best destination. Their training in DevOps is highly professional and very fruitful too. There are some popular rumors about DevOps. The concept of DevOps and its functions are still in the dark for lack of awareness.
Many of the people think that it is just a tool or a skill which can be used by some pro people only. Somebody even think that the spread of DevOps is very limited and it is built just for some chosen teams. These confusions among people have stopped them to get this kind of great thing.
In a corporate tech industry, DevOps is still a matter to be imagined and guessed. But Gyansetu offers the best opportunity to grab the extra ordinary training on DevOps.
This is hassle-free undoubtedly.
Having a lot of knowledge on this subject or any degree certificate is less important here. All anyone needs to handle DevOps is some basic knowledge and the eagerness to learn DevOps. That’s it.