IBM Cloud Private vs. Percona Operator

IBM Cloud Private is well suited for SaaS models.

Incentivized

Production ready, robust DB solution built for Kubernetes envs, we was able, for the first time, to ship production db workloads inside k8s. Be sure to check differences with "traditional" MySQL and other clustering solutions. Also be sure to match it with proper k8s storage solutions.

• There is a large variety of services available on IBM Cloud.
• This is my first experience with a PaaS and I haven’t had any major problems navigating around it.
• It is easy to deploy applications and services on IBM Cloud.

Incentivized

• Easy and fast deployment.
• A reliable, fully automated, high-available db lifecycle management solution.
• Exaustive documentation.
• Production ready.

• More hands on training outside of virtual classes would be helpful.

Incentivized

• Some differences compared to "traditional" MySQL solution.
• Had some hard times trying to use it combined with pre-existing techs like WordPress, Magento, etc.
• The specific k8s environment features can have an impact on it, like the storage solutions offered by the cloud vendor.

Easy and fast deployment. A reliable, fully automated, high-available db lifecycle management solution. It requires a bit of learning time for people new to operators ecosystem.

Well documented, there was no need to contact support.

With VMware cloud, each VMware Cloud customer must have an SDDC account(VMC) as well as a general AWS account. The two accounts must be linked for the service to work which is a tiresome thing to do for some clients but with IBM Cloud Private all these issues are solved.

Incentivized

For a long time we struggled finding a viable solution to migrate our existing db workloads inside Kubernetes. Before "operators era" proper db workloads required manual management, of course that easily raised administrative overhead. Then the future started to be brighter with the introduction of operators and the "official" Oracle's MySQL Operator, then Presslab's one, finally Percona's operator. Compared to other operators, the last one allowed us to ship production db workloads inside k8s.

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Incentivized

• It allowed us to use k8s on our entire infrastructure.
• Decreased administrative overhead around our db services.
• As it is an open source technology, it cut down our db pricings.