It can be rightly said that Kubernetes and DevOps are the power couple of clouds & are an open-source container-orchestration system! They run hand-in-hand for the company that is looking to develop complex applications. You may be thinking that both DevOps and Kubernetes have a different source, but how this is possible?
In our blog, we have described every bit about Kubernetes but how Kubernetes and DevOps are related to each other? What output software developers and enterprises can get if all these terms are mapped together?
Read this article to get a clear scenario of how cabinets can be a real strength for DevOps implementation.
What is DevOps?
Today, Software delivery rotation is getting shorter and shorter, while on the other hand application size has been getting bigger. Software programmers and enterprise looks for a simpler solution. Hence, there came a process called DevOps which is solely dedicated to assisting software building and delivery.
Its main goal is to coalesce application development and its operations throughout the software programmers life-cycle from strategy, planning, coding, building, and testing through deploying, operating and monitoring. DevOps tools automate tasks and manage all configurations at a different stage of configuration delivery.
But the real challenge is here when the application becomes more micro and diverse. So, how DevOps helps to build and deliver server. Thus, to go in-depth, we need to add another tool called “Swiss-army tool”.
Before straightly jumping to the Kubernetes, let’s understand the summary of the containers.
Quick Overview About Container
Containers make it easier to host and manage the life-cycle of web program inside the portable environment. It packages the application code; other dependencies into building blocks to deliver consistency, efficiency, and productivity. Docker is a set of platform & tool to deploy containers inside the cluster and treat it all as a single unit.
However, Container and DevOps have different concepts; they are totally different yet are part of the same entity…
The real challenge is deploying the multi-container application as multiple applications can’t just live in one area. And what if there is a need to scale out service as per the requirements needs? What to know how to provide services across multiple machines without dealing with cumbersome network and storage? That’s how Kubernetes came into the picture!
What is Kubernetes?
Kubernetes is an open-source orchestration platform, enabling multiple numbers of containers to work all together in harmony, reducing operational burden. It manages application containers across the multiple hosts.
Best features like auto-scaling, rolling deployment, computer resource, volume storage to the name of few are some of the exceptional weapons of Kubernetes. Similar to containers, it is designed to run on bare metal, in the data center, cloud-like public cloud or even a hybrid cloud.
How Kubernetes Can be a Strength For DevOps?
With the help of Kubernetes, Software programmers can share their software and dependencies easily with IT operations. It minimizes the workload and solves the conflicts between different environments. Container Orchestration brings IT operations and developers closer together, making it hassle-free seamless for the team to collaborate effectively and efficiently with each other.
Kubernetes provide the tool for the developers that can respond to the customer demands while relying on the cloud for the burden of running applications. This is done by eliminating the manual tasks that are related to deploying and scaling containerized applications so that it enables to run software more reliably when moved from one environment to another.
Suggested read: Widely used DevOps automation tool
For instance, it is feasible to schedule and deploys any number of containers onto a node (across public, private or hybrid clouds) and Kubernetes manages those workloads enabling you to do what you intended for. With the help of Kubernetes, container tasks are simplified the operations like horizontal auto-scaling, rolling updates, canary deployment, etc.
Hence, opting for the Kubernetes workflow can simplify the build/test/deploy pipelines in DevOps.
Kubernetes Can Help Different IT Operational Team?
Kubernetes is all open-source container; can give site flexibility to be a platform-agnostic on any level whether it’s a language.
Kubernetes helps to reduce configure-variables and time-consuming setup and maintenance task for developers, sys-admin and other teams. It is game-changer for QA and testers because it reduces risk & increases efficiency. This container & orchestration technology increases the competence and eliminates the risk by ensuring that the system configuration of the test environment is identical to the production environment.
Kubernetes is needed in today’s software development culture because the shift of the digital wave has made software architecture much complex, it is written in various technologies and run on multiple environments followed by many iterations. It can manage his consistency, be it’s an infinite loop of technologies and environments.
So on a brighter note, Kubernetes is one of the best open-source container-orchestration system orchestration technologies for achieving DevOps enabled culture.
Kubernetes Improves Continuous Integration/Continuous Delivery
CI and CD are the two different acronyms that are often mentioned when people talk about modern development practices. They are like vectors; having the same direction but different magnitude. The goals are the same; making software development and release process faster and robust. Tools like Jenkins have redefined CI/CD by automating various steps in the programmer cycle in terms of speed, precision, repeatability, and quality. With the advent of a Docker container, it has left no stone to provide continuous integration/continuous delivery in the world of software development.
The rise of Kubernetes in container ecosystem has impacted the CI/CD process. Instead of changing code between different virtual machines in different environments, the same code can be moved across container clusters with Kubernetes. In the previous versions provided a static virtual machine which is preferable for monolithic architecture and container orchestration requires a Microservice model.