Kubernetes is an open-source container cluster manager.
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Red Hat Advanced Cluster Management for Kubernetes
Score 9.8 out of 10
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Red Hat Advanced Cluster Management for Kubernetes provides end-to-end management visibility and control to manage a Kubernetes environment. Users take control of application modernization program with management capabilities for cluster creation, application lifecycle, and provide security and compliance for all of them across data centers and hybrid cloud environments. Clusters and applications are all visible and managed from a single console, with built-in security policies.
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Pricing
Kubernetes
Red Hat Advanced Cluster Management for Kubernetes
Editions & Modules
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Offerings
Pricing Offerings
Kubernetes
Red Hat Advanced Cluster Management for Kubernetes
Free Trial
No
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Kubernetes
Red Hat Advanced Cluster Management for Kubernetes
Features
Kubernetes
Red Hat Advanced Cluster Management for Kubernetes
Container Management
Comparison of Container Management features of Product A and Product B
Kubernetes
8.4
Ratings
8% above category average
Red Hat Advanced Cluster Management for Kubernetes
8.4
Ratings
8% above category average
Security and Isolation
8.50 Ratings
10.00 Ratings
Container Orchestration
9.50 Ratings
00 Ratings
Cluster Management
9.50 Ratings
10.00 Ratings
Storage Management
7.00 Ratings
10.00 Ratings
Resource Allocation and Optimization
7.50 Ratings
8.00 Ratings
Discovery Tools
8.50 Ratings
10.00 Ratings
Update Rollouts and Rollbacks
8.50 Ratings
7.00 Ratings
Self-Healing and Recovery
8.50 Ratings
7.00 Ratings
Analytics, Monitoring, and Logging
8.00 Ratings
5.00 Ratings
Best Alternatives
Kubernetes
Red Hat Advanced Cluster Management for Kubernetes
Red Hat Advanced Cluster Management for Kubernetes
Likelihood to Recommend
Along with all the best features and support by k8s, the automatic container scheduling to worker nodes and also self-healing containers which is what I like the most. On the other side, when I was installing the k8s cluster on CentOS 8, it was quite difficult for me, but never mind it is working as we expected and it is a one-time effort. Especially, in my case, there are more than 7 application containers required to run and communicate with each other, so for us, Kubernetes is an optimal solution.
Well suited for - Large-scale Edge deployments of OpenShift instances. Policy-based consistency for all workloads is Less appropriate for - Small-scale deployments. Stand-alone deployments of K8s clusters. Deployments in the same data center.
Local development, Kubernetes does tend to be a bit complicated and unnecessary in environments where all development is done locally.
The need for add-ons, Helm is almost required when running Kubernetes. This brings a whole new tool to manage and learn before a developer can really start to use Kubernetes effectively.
Finicy configmap schemes. Kubernetes configmaps often have environment breaking hangups. The fail safes surrounding configmaps are sadly lacking.
The Kubernetes is going to be highly likely renewed as the technologies that will be placed on top of it are long term as of planning. There shouldn't be any last minute changes in the adoption and I do not anticipate sudden change of the core underlying technology. It is just that the slow process of technology adoption that makes it hard to switch to something else.
It is an eminently usable platform. However, its popularity is overshadowed by its complexity. To properly leverage the capabilities and possibilities of Kubernetes as a platform, you need to have excellent understanding of your use case, even better understanding of whether you even need Kubernetes, and if yes - be ready to invest in good engineering support for the platform itself
As I said earlier also - - K8s manage the workloads better as compared to OpenStack in terms of reliability, observability & reachability. - K8s is not limited to only a single networking or storage solution as compared to OpenStack. - Networking (which is a key concept) is much simpler in K8s as compared to OpenStack. - It is possible to upgrade your applications without downtime in K8s but in OpenStack, you either have to divert the traffic or face an outage because you have to delete the whole stack & then recreate it.
I have also used TNA by Google Cloud, but that is not mature enough as ACM. Right now, ACM is the best choice as a cluster manager for private cloud data centers.