Kubernetes is in the phase of incremental innovation. The orchestration engine has become the de facto standard for containerization. While wholesale, quantum leaps of capabilities are no longer occurring directly in the platform, the tool has built a solid base for container management in all environments. We no longer see updates with path-breaking new features or upgrades, but that is because the tool has come a very long way since it was built, like Linux kernels, OpenStack, and Linux containers that came before it.
But do Kubernetes innovations extend beyond being an orchestration engine?
It does. Let us take a look at some of them.
CoreOS & Kubernetes Operators
CoreOS was an innovative Kubernetes platform company focusing on automation within the Kubernetes platform that was acquired by Red Hat in 2018.CoreOS took a lights-out approach to cloud-native, especially from an operations perspective. The concept gets extended by Kubernetes operators. They codify the operational knowledge, practices, and principles that are essential for running modern workloads at scale. This further enables enterprise development teams to deploy and manage different applications, be they databases or monitoring tools, AI and ML tools, or analytics frameworks. It also enables IT operations teams to scale up and down, when needed and enables them to effectively maintain & control the next-generation applications on hybrid cloud infrastructure.
Kubernetes Operators also empowers administrators to roll updates across scaled-up as well as scaled-out operations, irrespective of the nature of deployment – hybrid cloud, public cloud, and even workloads on the edge. Besides, Kubernetes Operators lower the entry barriers for deployment and management of Kubernetes, especially when doing so at scale.
What is Service Complexity?
Service complexity is the inherent intricacy and multifaceted nature of service-based businesses. It can be an effect of one or multiple factors, such as:
- Customer heterogeneity – Varying needs and expectations of customers necessitating tailor-made services, making things complex
- Service variability – Services are usually intangible and it can be challenging to standardize, so ensuring consistent quality and delivery makes it more complex
- Simultaneous production and consumption – The production and consumption of services are usually simultaneous, which makes thing complex and difficult to maintain quality and inventory
- Perishability – Storing and reselling of services is not possible, so matching supply to demand always can be quite complex
- Customer involvement – Quite often, customers are involved in the service production process, which can influence the quality and service outcome, thereby making things more complex
Service complexity could be a result of one or more of these, and many other factors.
Kubernetes and Service Complexity
Kubernetes plays a significant role in reducing the complexity of service-based businesses. Kubernetes helps automate various aspects of service management by addressing multiple factors that contribute to service complexity.
One of the most important ways Kubernetes achieves this is by providing a standardized and portable environment for the deployment and management of applications. With Kubernetes, there is no longer a need for manual configuration while reducing the risk of configuration drift. This, in turn, ensures consistent and reliable service delivery. Moreover, Kubernetes is capable of handling heterogeneous workloads which helps simplify the management of diverse service offerings. Thus, the needs of different segments of customers are easily accommodated.
Since Kubernetes provides a flexible and scalable platform, it also helps address the challenges of service variability. The number of instances can be adjusted according to the services at hand to cater to evolving demands. In this way, it can be ensured that services are always available and responsive. Kubernetes, as we already know, has “self-healing” capabilities that help maintain service capabilities and continuity. This, in turn, would also minimize downtimes and disruptions that are a common outcome of service failure.
Automation of routine tasks and offering a standardized environment, is a huge blessing for enterprises, as Kubernetes handles the service complexity issues while the enterprises can focus on delivering exceptional customer service and user experiences. It also helps free up resources and bandwidth, so team members can use their skills and time to build value-added activities like driving innovations and enhancing customer engagement. Kubernetes gives enterprises a more streamlined and efficient service delivery process, thereby helping reduce service complexity, and eventually boosting the organization and business performance.
Learn Kubernetes online and enhance your career
Get certified in Kubernetes and improve your future career prospects better.
Kubernetes is an open-source orchestration system for automating the management, placement, scaling, and routing of containers. It provides an API to control how and where the containers would run. Docker is also an open-source container-file format for automating the deployment of applications as portable, self-sufficient containers that can run in the cloud or on-premises. Together, Kubernetes and Docker have become hugely popular among developers, especially in the DevOps world.
Enroll in Cognixia’s Docker and Kubernetes certification course, upskill yourself, and make your way toward success and a better future. Get the best online learning experience with hands-on, live, interactive, instructor-led online sessions with our Kubernetes online training. In this highly competitive world, Cognixia is here to provide you with an immersible learning experience and help you enhance your skillset and knowledge with engaging online training that will enable you to add immense value to your organization.
Both Docker and Kubernetes are huge open-source technologies, largely written in the Go programming language, that use human-readable YAML files to specify application stacks and their deployment.
Our Kubernetes online training will cover the basic-to-advanced level concepts of Docker and Kubernetes. This Kubernetes certification course allows you to connect with the industry’s expert trainers, develop your competencies to meet industry and organizational standards and learn about real-world best practices.
Cognixia’s Docker and Kubernetes online training covers:
- Fundamentals of Docker
- Fundamentals of Kubernetes
- Running Kubernetes instances on Minikube
- Creating and working with Kubernetes clusters
- Working with resources
- Creating and modifying workloads
- Working with Kubernetes API and key metadata
- Working with specialized workloads
- Scaling deployments and application security
- Understanding the container ecosystem
To join Cognixia’s live instructor-led Kubernetes online training and certification, one needs to have:
- Basic command knowledge of Linux
- Basic understanding of DevOps
- Basic knowledge of YAML programming language, though this is beneficial and not mandatory
