Written in the Go programming language, Kubernetes works across a broad range of platforms and cloud services. Known for its robust orchestrating capabilities, Kubernetes is used to group applications into a cluster of containers running on a virtual host OS, thus enabling companies to manage their IT workloads with much more efficiency and savviness.
Hiring a dedicated full-time Kubernetes specialist onto the tech team might not make much financial sense to smaller software development companies that are just at the start of their growth. Instead, startup businesses might benefit more from getting on-premise or public cloud Kubernetes consulting, also known as Kubernetes as a service (KaaS).
Why do companies need Kubernetes as a service?
For a company, running Kubernetes operations independently, whether on-premise or in the cloud, is a tiring and time-consuming task. Hiring a professional and trusted Kubernetes consulting service provider like Dedicatted will help enterprises enjoy a wide range of benefits associated with this powerful orchestration system without the need to spend time delving into too much technological detail.
Outsourced Kubernetes consultants will have the skill set and expertise to manage and support the operations at a professional level. By choosing the most suitable interface and performing timely maintenance activities, they can take care of a variety of time-consuming tasks like installation and upgrades, application deployment, control of scalability, cluster arrangement, and more.
Being handy with the latest tools and practices in the Kubernetes environment, these specialists will be able to ensure that the migration goes smoothly and does not affect the company’s existing workload.
KaaS core capabilities companies can benefit from
Getting Kubernetes consulting services allows companies to avoid complexities related to Kubernetes cluster setup, CI/CD pipeline management, the release of updates, operations monitoring and management, and many others.
Here is a brief overview of KaaS’ main capabilities:
- Existing infrastructure analysis: identification of key Kubernetes implementation tasks, workloads planning, generating a set of fault-tolerance specs.
- Effective deployment/management: quick and smooth deployment and efficient cluster management.
- Constant monitoring: regular updates on clusters and the ability to check metrics and gain valuable insights.
- Automation: automation of existing pipelines on the Kubernetes platform.
For powerful, adaptable, and cost-efficient management of modern container deployments, Kubernetes is the industry standard. However, Kubernetes is a complex system with a challenging learning curve, so getting a bit of extra help might be the way to go for many companies.