Smooth scaling Infrastruture.
December 24, 2022

Smooth scaling Infrastruture.

Ravi Gupta | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

Overall Satisfaction with IBM Cloud Kubernetes Service

I have to work with scaling deep learning software, especially training at scale over CPU and GPUs. I use Kubernetes in the IBM cloud to achieve that over CPUs. The ease is a production-ready environment. I don't have to worry about all nitty-gritty details of infrastructure and can focus on scaling my models, dataset, and application.
  • Pod re-starts and maintain quality of service.
  • Scaling at infrastructure level.
  • Readily available hardware resources.
  • Availability of more GPU resources.
  • More selection of operating systems.
  • Less start cost of a POC from 10000s yo 100s.
  • Adaptive scaling.
  • Isolation of liabilities.
We don't use much GUI except maybe utilization visualization.
I have used a few third-party services. I use them mainly for competitive analysis and proving parity in my results testing with another similar tool.

Do you think IBM Cloud Kubernetes Service delivers good value for the price?

Yes

Are you happy with IBM Cloud Kubernetes Service's feature set?

Yes

Did IBM Cloud Kubernetes Service live up to sales and marketing promises?

I wasn't involved with the selection/purchase process

Did implementation of IBM Cloud Kubernetes Service go as expected?

Yes

Would you buy IBM Cloud Kubernetes Service again?

Yes

Applications like stream processing, real-time low latency processing.

IBM Cloud Kubernetes Service Feature Ratings

Security and Isolation
7
Container Orchestration
8
Cluster Management
5
Storage Management
7
Resource Allocation and Optimization
7
Discovery Tools
2
Update Rollouts and Rollbacks
8
Self-Healing and Recovery
8
Analytics, Monitoring, and Logging
1