The advantages of utilising this free container orchestration solution to manage your microservices architecture are examined in this article. K8s, usually referred to as Kubernetes, is a free and open-source container orchestration system. It’s a technology that makes scheduling, managing, and scalability of containerized programmes simple. Another name for Kubernetes is K8s (microservices). The Kubernetes platform’s capacity to automate a broad variety of DevOps tasks that were previously carried out manually lessens the burdens of software engineers.
What is it about this platform that has drawn in so many people, then?
The workload associated with managing containers across several hosts is lessened by the Kubernetes services. They make it easier to boost a company’s applications’ productivity, scalability, flexibility, and mobility.
Only Linux has a higher growth rate among open-source software projects than Kubernetes. According to a research conducted by the Cloud Native Computing Foundation in 2021, the number of engineers utilising Kubernetes increased by 67% between the years of 2020 and 2021. (CNCF). It presently makes up 31% of all backend developers, a 4% annual rise.
Due to Kubernetes’ increased popularity among DevOps teams, businesses who are just getting started with the container orchestration platform will have a noticeably shorter learning curve. Yet they aren’t the only advantages you get. Here’s a closer look at the business motivations for deploying Kubernetes to satisfy the various app needs.
The following is a discussion of a few of the numerous advantages of utilising Kubernetes to manage your microservices architecture.
Cost reductions result from container orchestration
There are businesses of all sizes that utilise kubernetes deployment services save a lot of money by streamlining ecosystem management and automating routine manual tasks. By dynamically provisioning and balancing container loads across nodes, Kubernetes optimises resource use. You might save money on items like redundant API servers by pooling resources into fewer clusters. Several public cloud platforms charge a maintenance fee per cluster, which is one of the reasons why having fewer clusters is better.
Applications may operate at their peak performance and with minimum downtime after Kubernetes clusters have been set up. This reduces the requirement for assistance in the event that a node or pod requires manual repair due to a malfunction. Workflows become more productive and need less manual repetition thanks to Kubernetes’ container orchestration. Less servers will need to be utilised since this calls for less administrative overhead.
The architecture of microservices increases efficiency throughout both development and maintenance
The development, testing, and deployment procedures are expedited when containers and storage resources from several cloud providers are combined. Virtual machine (VM) images may sometimes be produced more rapidly and inexpensively than container images, which come complete with everything an application needs to run. The container image contains all of the tools required to launch an application. All of this makes development and deployment timelines more effective.
Conclusion
Kubernetes installation should take place as early in the development lifecycle as is practical. This makes it possible for developers to test their code sooner, which lowers the possibility of costly errors later on. Applications built on microservices are divided into separate modules that connect to one another through APIs (APIs). As they may split up the work and concentrate on certain areas, this may be advantageous for both IT departments and development teams. Many separate Kubernetes clusters may share a single physical instance thanks to namespaces. By employing namespaces to manage who has access to which cluster resources, efficiency is increased.
