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Real time scenarios working with docker and kubernetes
Real time scenarios working with docker and kubernetes













If you have existing data centers on-premises or in a co-location hosted facility, running Kubernetes on-premises can be an effective way to reduce your operational costs. Specifically if your applications rely on ingesting and processing a large amount of data, such as an AI/ML application, it can get extremely expensive to run it in a public cloud. Running all of your applications in the public clouds can get pretty expensive at scale. This is probably the most important reason to run Kubernetes on-premises. It also gives you leverage around price negotiation with your cloud providers. This reduces your risk of business continuity impact due to issues with a specific cloud provider. Many enterprises may wish to not be tried to a single cloud provider, and hence may want to deploy their applications across multiple clouds, including an on-premises private cloud. Some enterprises may not be able to utilize public cloud offerings from a specific cloud provider due to their business policies related to competition. Business Policy Reasonsīusiness policy needs, such as having to run your workloads at specific geographical locations, may make it difficult to use public clouds.

real time scenarios working with docker and kubernetes

For example, the GDPR compliance rules may prevent enterprises from serving customers in the european region using services hosted in certain public clouds. Some organizations simply can’t use the public cloud, as they are bound by stringent regulations related to compliance and data privacy issues. Why do organizations choose the path of running Kubernetes in their own data centers, compared to the relative “cake-walk” with public cloud providers? There are typically a few important reasons why an Enterprise may choose to invest in a Kubernetes on-premises strategy: 1. It does this by decoupling dependencies and abstracting infrastructure away from your application stack, giving you the portability and the scalability that’s associated with cloud-native applications. Almost equally important is that it allows users who are unable to utilize the public cloud to operate in a “cloud-like” environment.

real time scenarios working with docker and kubernetes

Kubernetes has achieved an unprecedented adoption rate, due in part to the fact that it substantially simplifies the deployment and management of microservices. Depending on your organization’s needs regarding compliance, locality and cost for running your workloads, there may be significant advantages to running Kubernetes deployments on-premises.

real time scenarios working with docker and kubernetes

However, the cloud-native concept does not exclude the use of on-premises infrastructure in cases where it makes sense. Kubernetes is often described as a cloud-native technology, and it certainly qualifies as one. The best Kubernetes architecture for your organization depends on your needs and goals. Best Practices for On-premise Kubernetes Implementation.Challenges Running Kubernetes On-premises.















Real time scenarios working with docker and kubernetes