Written by Priya GeorgeContent Writer
Containers are one of the most crucial components of cloud computing. With the help of containerization, companies can migrate resources from on-prem data centers to private or public cloud platforms with minimal disruptions. Furthermore, the software can run on any environment and infrastructure by packaging all the software code with its libraries, dependencies, etc. This simplicity empowers organizations to create infrastructure solutions that best meet their requirements.
While containerization has been widely embraced by IT teams globally, it is essential to note the need for cluster management tools. With the help of cluster management tools like Kubernetes, it is possible to manage containerized applications across multiple cloud services platforms and/or on-prem. Kubernetes is an open-source platform developed by Google, and both Google Cloud Anthos and Red Hat OpenShift are platforms that can support managed Kubernetes services. This blog aims to discuss their differences and determine which tool to select based on the requirement.
With Anthos, companies can manage applications regardless of where the resources are located. It encourages both multi and hybrid cloud solutions. With Google Anthos, you can run Kubernetes or cluster management tools across AWS, Azure, and on-prem. Thus, with Google Cloud Platform’s Anthos, developers have access to a single-window for visibility and management of multiple clusters. Several Anthos services make managing clusters a much easier task:
Other services that help Google Anthos manage and orchestrate clusters efficiently include Anthos Config Connector and Cloud Run. This serverless platform allows developers to integrate with non-Kubernetes services as well.
Red Hat OpenShift can be best described as a dedicated platform for managing Kubernetes clusters. Services like Tekton, Grafana, Cri-o, and Red Hat Enterprise Linux CoreOS developers can easily manage Kubernetes clusters. In addition, it provides an experience similar to working on the cloud and enables applications to work across environments, including hybrid cloud, multi-cloud, and edge deployments. There are two essential solutions when it comes to an understanding of how OpenShift operates.
Need guidance for deploying applications in Red Hat OpenShift? This guide written by our RC Red Hatter can help you.
When it comes to pitting these two platforms, it is vital to know the purpose of these platforms. Google Cloud Platform’s Anthos is a hybrid cloud management solution for running Kubernetes. It is a layer on top of Google Kubernetes Engine that allows the workloads to operate across cloud service platforms that support Kubernetes. Overall, with Anthos and GKE, developers have access to a platform that supports more managed services and third-party tools, thus reducing time and easing setting up environments.
However, Red Hat OpenShift is an opinionated Kubernetes cluster management platform. Thus, it is far more inflexible, resulting in teams needing more time and workforce to set up applications and pipelines. This option is ideal for teams that require an all-in-one solution for containerization, automation, and cluster management. However, this choice ties up flexibility and portability.
The choice of OpenShift vs. Anthos comes down to organizational requirements. For organizations with already built workflows and need multiple services to run workflows across various environments, their best choice is Google Anthos. But for smaller organizations requiring an immediate solution for Kubernetes cluster orchestration, it is best to opt for OpenShift.
Whether your business chooses Google Anthos or OpenShift as the platform for managing multiple clusters on Kubernetes, it is crucial to collaborate with an expert team that can help you set up the environment while optimizing costs and resources. This is when Royal Cyber steps in. With our Red Hat and Google Cloud services and expertise, your organization can migrate workloads from on-prem to cloud, access managed services to run cloud-native apps and set up compatible environments for these platforms.
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