Cloud Computing Tutorial
- What is Cloud Computing
- Basics of Cloud Computing
- CLOUD COMPUTING
- DEPLOYMENT MODELS
- Utility Computing
- Types of Cloud
- Grid Computing
- Cloud Computing-Architecture
- Private Cloud
- Hybrid Cloud
- Service-Oriented Architecture (SOA)
- Cloud Computing – Virtualization
- Cloud Computing Tenets
- Community Cloud
- Cloud Models
- Data Storage
- Internet and the Web
- IOT (Internet of Things)
- Mobile Cloud Computing
Introduction to Kubernates
It is a container management tool. The main goal of this tool is deploying containers, scaling and descaling containers, balancing containers load. It is not based on the containerization platform; it provides solutions for managing multiple containers. It supports multiple cloud and bare-metal environments. It is 100% Open source, written in GoOne. Google pushed Kubernetes to open source two years ago. One of its key selling points is that it has been used to run Google’s massive systems for so long.
Containers are a standard way of packaging apps and all their dependencies so you can move apps across environments seamlessly. Containers do not bundle the operating system as opposed to virtual machines. Containers contain the app code, run time, system tools, libraries, and settings. Containers are lighter, more portable and more effective than virtual machines.
Benefits of Using Kubernetes
Now, this technology is used actively in nearly all cloud-based Google projects. It provides expensive horizontal scalability to multiple hosts by distributing containers. During the time of sudden power failure or technical emergency self-recovery, system operability replication is provided.
Advantages of Kubernetes
We will look at the benefits that will help you move ahead of your competitors and boost your bottom line.
Load balancing and Service Discovery
As Kubernetes assign a specific IP address to each container automatically, there is no need to worry about networking and communication between containers. They communicate with each other through IP addresses. It also assigns a DNS name, i.e. Domain Name System, for a set of containers to balance loading clusters’ traffic.
Automatic Bin Packing
Based on the requirements and available resources, It automatically packages application schedule containers. It manages critical and best efforts to make sure that complete utilization of data and accordingly saves the report of unused sources.
It allows users to mount the storage; if users storage space has been filled, they can create another mount and saves their data. Users can choose any storage options like local storage, public or private cloud providers like AWS or storage systems like NFS (Network file system), iSCSI, etc.
When any containers fail during the execution time, it automatically restarts those failed containers. If containers do not give any response to the user, those containers will be deleted by it.
It can run a batch of containers at a time and is able to handle the CI workload. If containers fail, it restarts those containers or replaces those with another container, if needed.
In it, scaling up and down containers can be done by only one command. It can also be carried by using Kubernetes dashboards.
Secret and Configuration Management
It deploys and updates configuration and secrets without revealing secrets to stack configuration.
Automatic Rollback and Rollout
In it, changes are automatically rolled out and update the applications. It automatically rollbacks the changes if there are some problems that occur.
Helps you to Move Faster
It offers you the abstraction for a hardware-level layer for developer teams by creating a self-service platform as a service (PaaS). The development item can quickly request the resources they need to.
Kubernetes is Cost Efficient
Kubernetes and containers make far better use of resources than hypervisors and VMs. Due to the lightweight containers, fewer CPU and memory resources are required to work.
Why do we need Kubernetes?
Many organizations use Linux, docker, and rocket for managing the containers. They use those containers on a massive scale. The organization is not using one or two containers; instead, they use 10 to 100 containers to maintain the balance of loading and ensure that the resources are available.
When the traffic of loading increases, i.e. N number of requests comes within a second, the organization may have to scale up the containers. But when containers go increasing day by day, the chances of having complexity increase. That is the reason, to handle those containers, the need for container management tools increases. And then Kubernetes comes into the market. It becomes popular because of its functionality, and it is used as a Google brainchild.
Scope of Kubernetes
Kubernetes Expert is a trending and exciting profession in the IT industry. Hence there are plenty of opportunities for Kubernetes Administrators, Kubernetes Service Provider. The salary for even junior level Kubernetes administrator is quite high. The approximate pay scale of Junior Kubernetes administrator in India is Rs.6,00,000 per year. Whereas, In the United States of America, the average salary for a junior Administrator is $50K per year.
As a result, there is an increasing demand for trained and skilled Kubernetes administrators and engineers. So it can be said that this technology will become a leading technology in the field of orchestration in the coming future. Hence it is creating new job roles as the velocity of Kubernetes is exploding day by day. Kubernetes training certification courses help anyone who wants to makes a career as a Kubernetes Administrator or Service Provider. Certifications are available from IBM, Linux academy, cloud academy, etc. Its administrators can also improve their skills by taking advanced courses.