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How is Kubernetes Transforming the DevOps Space?

How is Kubernetes Transforming the DevOps Space?

DevOps revolutionized the software world with its capability to shorten the system development life cycle while providing continuous delivery with high software quality. 

It bridged the divide between the two chief practices: software development and IT operations. But as technology progressed, it became apparent that additional technology was required to manage DevOps on a large scale. Without apt configuration management in place, many issues arose in the proper functioning of applications. 

The primary reason for the issues that arose with the running software was the conflict in the goals of IT and application configuration. This is where Kubernetes came to the rescue with its functionalities.

DevOps Kubernetes alleviated these issues in addition to providing automation, deployment, and agile methodologies for software integration and deployment. It allowed developers to create potent computer clusters for high performance and effective delivery.

To understand how Kubernetes changing DevOps has affected the delivery of applications, you must have a rudimentary understanding of what clusters are and how they work:

What are computer clusters?

A computer cluster consists of two or more computers over a network which works together to carry out tasks as a single system. This link created between several computers leads to a singular system that is faster, has more storage capacity, is more reliable, and has excellent availability of resources.

How do they help?

Computer clusters provide an enterprise with many benefits:

  • More cost-efficient: Computer clusters are as stable as a mainframe computer and have the capability of performing at a higher level without the heavy costs that you have to incur while purchasing a mainframe computer.
  • High processing speed: These clusters can compete with a supercomputer in terms of speed.
  • Improved resource availability: Computers come across frequent breakdowns, so to eliminate this failure, cluster computers are available with high availability. In case one of the nodes fails the other nodes will get activated, functioning as a proxy for the failed node. This makes sure for enhanced availability.
  • Increased Elasticity: Cluster computing provides its user with enhanced scalability and elasticity. As clustering allows you to add multiple computers, making your current system efficacious.

This is why computer clusters are essential for many businesses, especially in the financial, industrial, and public sectors. 

Also Read: DevOps and the Future of QA

Why do we need Kubernetes DevOps to run these clusters?

An enterprise might face many problems while running an application in a cluster of computers if the surrounding environments are not similar. A developed application might require a specific version of the software, which hasn’t been installed on the system.

A container puts an end to this complication. A container consists of a program that has to be executed and all its dependencies, such as the code, runtime, and system libraries, bound together in a box.

Container technology caught the public’s attention in 2013. The coherence and cost-efficiency containerization can offer, quickly made it a trend in cloud computing.

Controlling these containers at the cluster scale requires a specialized software tool that allows cluster management via a graphical user interface or command line. Kubernetes DevOps is a tool that allows you to do just that and more.

 

What is Kubernetes DevOps?

Kubernetes is an open-source platform that allows its users to manage containerized workloads and services. 

Kubernetes was created by Google to solve the problem of automation in terms of deployment, scaling, and management of applications in containers.

Kubernetes DevOps facilitates both declarative configuration and automation. It has a large, rapidly growing ecosystem. Kubernetes transforming DevOps services, support, and tools are widely available. 

What are the benefits of DevOps Kubernetes?

Enterprises, SME’s as well as start-ups all around the world are assimilating container technology and Kubernetes DevOps at an astounding pace. 

If you have been thinking about adopting this technology for your company. It is pivotal to acknowledge and understand the requirements of your company. Incorporating Kubernetes just because it has become a technological fad is not the right way to approach things. 

Rather, the contrivance should be helpful to your business, operational, and strategic goals. 

Let’s take a look at some of the benefits of Kubernetes DevOps to understand whether you should deploy it for your company:  

 

1. Workload Scalability

  • Horizontal infrastructure scaling: Kubernetes DevOps allows you to scale horizontally by operating at an individual server level. This scaling allows you to add or remove new servers effortlessly.
  •  Auto-scaling: Kubernetes can increase or reduce the number of containers automatically depending on CPU utilization.
  • Manual scaling: The number of containers can be manually scaled using a command in Kubernetes DevOps.

2. High Accessibility

The ability of Kubernetes DevOps to address the availability of both applications and infrastructure, making it essential when deploying containers in production:

  • Health checks and self-healing: Kubernetes protects your applications against failures by constantly checking the health of nodes and containers. Kubernetes also repairs and replaces a container when they crash due to an error.
  • Traffic routing and load balancing: DevOps Kubernetes routs traffic to the appropriate containers. This functionality allows Kubernetes to balance load effectively, allowing you to respond to downtime quickly.  

3. Tailored for deployment

Kubernetes DevOps allows its users to speed the process of building, testing, and releasing software. It is optimized for deployment and offers many practical features:

  • Automated roll-outs and rollbacks: Kubernetes allows you to seamlessly roll-out a new version of an app or an update without any downtime. In case of failure, it automatically rolls back.
  • Canary Deployments: This functionality of Kubernetes allows you to juxtapose the previous and the current version of the app.
  • Programming languages and frameworks support: Kubernetes supports a plethora of programming languages and frameworks like Java, Go, .Net, etc. If the environment of a container is suitable to run an application then it should run well on Kubernetes.

4. Passwords and configuration management

Kubernetes DevOps allows you to save sensitive information, such as passwords, OAuth tokens, and SSH keys. You can update and utilize secrets and application configuration without rebuilding your container images and without exposing secrets in your stack configuration.

Conclusion

DevOps with Kubernetes effectively ended the situation where there was a mismatch between the configured environment of a developer and IT. Kubernetes made it convenient for developers to move from development to production, making applications more portable and leveraging orchestration. 

Kubernetes in DevOps showcased a level of handiness that was previously seemed difficult to achieve; it allowed users to develop on one platform and release it seamlessly on another platform. 

When it comes to testing, Kubernetes can allow developers and testing experts to work collectively and solve issues related to bug fixing faster and more accurately. Cases when a bug is reported, developers can swoop in and access the tester’s Kubernetes instance and see the bug instantly. Using this technology for testing can help save time and increase collaboration. Therefore getting in touch with companies that use such technologies can help you boost your project speed and be up to pace with the trending technologies. ImpactQA is a renowned software testing company that can be contacted for projects that require speed in the future.

Get in touch with ImpactQA to get a free consultation over the implementation of Kubernetes DevOps for your next project.

 

 

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