IBM Cloud Monitoring vs. Red Hat Advanced Cluster Management for Kubernetes

IBM Cloud Monitoring

Red Hat Advanced Cluster Management for Kubernetes

Overview
Product	Rating	Most Used By	Product Summary	Starting Price
IBM Cloud Monitoring	Score 7.0 out of 10	N/A	IBM Cloud Monitoring service is a fully managed monitoring service for administrators, DevOps teams and developers, offering deep container visibility and comprehensive metrics to help users reduce costs and better manage the software lifecycle.	N/A
Red Hat Advanced Cluster Management for Kubernetes	Score 9.8 out of 10	N/A	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.	N/A

Pricing

IBM Cloud Monitoring

Red Hat Advanced Cluster Management for Kubernetes

Editions & Modules

No answers on this topic

Offerings

Pricing Offerings
IBM Cloud Monitoring	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

Additional Details

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More Pricing Information

Features

IBM Cloud Monitoring

Red Hat Advanced Cluster Management for Kubernetes

Container Management

Comparison of Container Management features of Product A and Product B
	IBM Cloud Monitoring - Ratings	Red Hat Advanced Cluster Management for Kubernetes 8.4 1 Ratings 7% above category average
Security and Isolation	00 Ratings	10.01 Ratings
Cluster Management	00 Ratings	10.01 Ratings
Storage Management	00 Ratings	10.01 Ratings
Resource Allocation and Optimization	00 Ratings	8.01 Ratings
Discovery Tools	00 Ratings	10.01 Ratings
Update Rollouts and Rollbacks	00 Ratings	7.01 Ratings
Self-Healing and Recovery	00 Ratings	7.01 Ratings
Analytics, Monitoring, and Logging	00 Ratings	5.01 Ratings

Best Alternatives
	IBM Cloud Monitoring	Red Hat Advanced Cluster Management for Kubernetes
Small Businesses	Panda Systems Management Score 9.4 out of 10	Portainer Score 9.3 out of 10
Medium-sized Companies	ManageEngine Site24x7 Score 9.2 out of 10	IBM Cloud Kubernetes Service Score 9.2 out of 10
Enterprises	ManageEngine Site24x7 Score 9.2 out of 10	IBM Cloud Kubernetes Service Score 9.2 out of 10
All Alternatives	View all alternatives	View all alternatives

User Ratings
	IBM Cloud Monitoring	Red Hat Advanced Cluster Management for Kubernetes
Likelihood to Recommend	7.0 (1 ratings)	10.0 (1 ratings)

User Testimonials
	IBM Cloud Monitoring	Red Hat Advanced Cluster Management for Kubernetes
Likelihood to Recommend	IBM It is well suited for our use case, which is tracking load balancer data. We would also like to explore tracking other cloud resources, such as web and database servers John Reeve Co-founder, Lead developer, Lead designer Read full review	Red Hat 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. Asad Khan Systems Solution Architect Read full review
Pros	IBM Versatility. It can track more than just the load balancer data we collect. Custom dashboards can be created for our particular use cases John Reeve Co-founder, Lead developer, Lead designer Read full review	Red Hat Continuous deployment of other OpenShift instances. Controls clusters and applications from a single console. Built-in Security & compliance. Asad Khan Systems Solution Architect Read full review
Cons	IBM It's versatility is also a weakness because it requires piecing together data sources. Would be nice if there a gallery of pre-built dashboards to choose from. Data sources aren't clearly labeled. Took some time to identify and isolate our load balancer data sources when creating dashboards. John Reeve Co-founder, Lead developer, Lead designer Read full review	Red Hat Initial deployment of the ACM itself needs to be made easy. Dependency on the Software versions of underlying open shift workloads during upgrades. LCM of ACM itself. Asad Khan Systems Solution Architect Read full review
Alternatives Considered	IBM No answers on this topic	Red Hat 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. Asad Khan Systems Solution Architect Read full review
Return on Investment	IBM Allows us to monitor our resources at IBM instead of having to rely entirely on third party monitoring tools John Reeve Co-founder, Lead developer, Lead designer Read full review	Red Hat Reduced the deployment duration of individual nodes by 50%. Acts as a central manager for all the clusters. Provides a lot of infrastructure options (storage, networking, etc) to build instances of your choice. Asad Khan Systems Solution Architect Read full review
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