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There are many factors to consider when deploying application workloads. Many organizations use Kubernetes to deploy and containerize their workloads, as it provides enhanced scalability, self-healing and support for achieving high availability. However, a crucial decision needs to be made about how they wish to host their Kubernetes infrastructure: deployed on the cloud or managed using on-premises infrastructure.
Both options have advantages and disadvantages that might make one more suited to a specific use case. In this article, we will explore cloud and on-prem deployments, their pros and cons, and tips for choosing the method best suited to different use cases.
The cloud refers to several devices, each with their own system resources, such as CPU, memory and storage, connected via a global network. A cloud provider (e.g., AWS, Azure or GCP) sources the physical devices and manages the physical infrastructure so that, rather than managing hardware, you can focus on deploying and managing your applications. Cloud services are usually provided on demand — i.e., you pay only for what and how much you use — and are designed to be highly scalable and resilient to downtime.
Using cloud services can reduce developers’ operational overhead: When deploying applications on Kubernetes, cloud providers play a huge role in provisioning and managing infrastructure for the Kubernetes cluster. They also handle the operational challenges with Kubernetes maintenance, such as cluster upgrades, backup and restore, disaster management, and scaling.
Even if you self-manage your cluster using kOps or a similar tool, you can still leverage cloud services by using virtual machines (VMs) such as AWS’s EC2 instances. Managed Kubernetes clusters, such as EKS, AKS and GKE, are widely used for deploying production applications, as they integrate well with cloud providers’ ecosystems, and teams do not need to maintain the cluster infrastructure.
On-prem is when you source the physical infrastructure, set it up and handle maintenance activities within your organization. The organization owns all the servers and infrastructure components. Setting up infrastructure yourself takes more time than provisioning infrastructure from a cloud provider, and it has to be regularly maintained, with tasks including upgrading the infrastructure, performing regular security checks and installing security patches.
The process of deploying Kubernetes clusters on premises is a lot more complex than using a cloud provider. You must first virtualize the entire infrastructure using a Tier 1 hypervisor, such as VMware vSphere or Proxmox. Then, you need to manually create all the required VMs to act as Kubernetes nodes, generate the SSL certificates, handle machine DNS and set up the Kubernetes cluster. Setting up autoscaling mechanisms comes with additional challenges if you don’t have access to support. And after setting up the initial cluster, you still have to perform regular maintenance activities such as certificate rotations, cluster upgrades and node upgrades.
If you want to distribute the Kubernetes clusters across multiple availability zones, you need to find a data center, source and set up the physical infrastructure across each data center, and handle the networking to enable seamless node communication. Comparatively, when trying to achieve the same result with a cloud provider, you must specify the region where you wish to provision your nodes.
Hosting your application workloads using a cloud provider and deploying infrastructure completely on premises have significant differences.
There are important differences between how infrastructure is deployed and managed in both methods.
Costs can vary depending on the scale of your workloads. With on-prem deployments, you have a large one-time investment along with recurring costs for infrastructure maintenance; cloud providers have recurring costs that can be optimized.
The level of control differs significantly between on-premises and cloud environments, and impacts how organizations manage their infrastructure, applications and data. Greater control might be essential for certain use cases.
Security can be a deciding factor in choosing an on-prem or cloud deployment.
After the initial infrastructure is set up, regular maintenance tasks remain, including software and hardware upgrades, as well as replacement of faulty equipment. Whether you’re using cloud or on-prem infrastructure, effective maintenance is critical to ensure uptime, security and performance
Compliance ensures organizations adhere to laws, regulations and standards that govern their operations, particularly in areas like data privacy, financial accountability and industry-specific requirements. It is crucial for protecting sensitive information, avoiding legal penalties and maintaining trust with customers and stakeholders. Compliance helps businesses safeguard their reputation and credibility by promoting transparency and accountability. In an era of increasing data breaches and privacy concerns, robust compliance frameworks are essential for mitigating risks and demonstrating ethical practices.
A hybrid cloud architecture combines the advantages of on-premises infrastructure (or private clouds) and public cloud services. In this model, workloads and data can move seamlessly between on-premises environments and cloud platforms, providing flexibility, scalability and control. Organizations can use hybrid cloud solutions to balance their operational needs, such as keeping sensitive data on premises while leveraging the scalability of the public cloud for less critical workloads or peak demands.
Hybrid cloud models often rely on orchestration and unified management tools to provide seamless integration between the environments. Technologies like containerization and Kubernetes play a significant role in enabling this interoperability, allowing applications to run consistently across on-premises and cloud infrastructure.
Hybrid cloud environments are widely adopted across industries that require a balance between flexibility and control. For instance:
A hybrid cloud is also beneficial for businesses transitioning from legacy systems to modern cloud native architectures, as it enables a phased approach without disrupting ongoing operations.
When running a Kubernetes cluster designed for production, you want to use a robust mechanism for managing the entire cluster. While kubectl helps manage and interact with the Kubernetes cluster, it is not recommended to use it for managing a production cluster: It doesn’t provide overall visibility of all the resources, requires complex commands to perform actions and can be tedious to navigate between multiple clusters.
There are tools to help manage clusters in cloud and on-prem environments: While some can be used for both environments, others are more powerful in one or the other.
Here are some tools that are most helpful for operating, automating and managing a Kubernetes cluster’s life cycle in cloud environments.
There are multiple tools that can help you set up and manage your Kubernetes cluster on premises. They provide immense value, as on-prem setups lack the cluster management features provided by cloud providers.
Choosing between cloud, on-premises and hybrid environments depends on an organization’s unique scalability, cost, control and compliance needs. Cloud solutions offer unparalleled flexibility and ease of scaling, while on-premises setups provide unmatched control and security for sensitive workloads. On the other hand, a hybrid cloud strikes a balance by combining the best of both worlds, enabling businesses to optimize their infrastructure for specific use cases.
Devtron can help simplify many of the complexities associated with Kubernetes, whether it’s hosted in the cloud or on premises, by simplifying application management and cluster management. If you are looking for an end-to-end solution for managing your Kubernetes clusters, please check out Devtron’s GitHub repository and try it out.
As technology evolves, organizations must carefully evaluate their operational goals, compliance requirements and budgetary constraints to determine the right strategy. Whether leveraging the cloud for agility, on-prem for control or hybrid for versatility, the key lies in aligning the infrastructure with business priorities to drive efficiency and innovation.