IBM Cloud Managed Istio vs. Red Hat Advanced Cluster Management for Kubernetes

Clearly, the [IBM Cloud Managed Istio] tool is very useful when you have multiple services and each service is connecting with other services through APIs in different networks. To manage this type of complex network, [IBM Cloud Managed Istio] is very useful. It comes with a license that can increase the billing of your project so make sure if your application network mesh, monitoring cannot be managed on your own then you can use it. If your application is not very complex then you have many tools available like Grafana, Prometheus, Sumo Logic, which you can integrate individually with your cluster and implement. In this type of scenario, it is better to not use [IBM Cloud Managed Istio] and it will serve your purpose as well.

Incentivized

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.

• Layers transparently onto existing applications
• Allows control of access and rules to be developed
• Creates metrics for usage

Incentivized

• Continuous deployment of other OpenShift instances.
• Controls clusters and applications from a single console.
• Built-in Security & compliance.

• Some more functionalities added could improve it better.
• Better technical user guidance.

Incentivized

• 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.

Training and usage support available

Incentivized

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.

• It reduced the complexity of network mesh (ingress/egress services).
• One tool with many solutions. No need to integrate monitoring tools or notification tools.
• It reduced the number of lines of YAML code.
• It reduced the number of labor hours.

Incentivized

• 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.